Showing posts with label Software Development Tools. Show all posts
Showing posts with label Software Development Tools. Show all posts
[2025 Edition] Learn Git in Less Than 3 Hours
Monday, December 8, 2025
Master Git step-by-step: commits, branching, merging, conflict resolution, GitHub workflow, and real collaboration skill
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Description
Learn Git in a fast, practical, and beginner-friendly way — by building a simple HTML/CSS portfolio website and tracking it with Git from start to finish.
This course is designed for complete beginners who want a clear, hands-on introduction to Git, the most widely used version control system in the world. No prior Git knowledge is required.
We start from zero: installing Git, configuring it, and understanding how version control works. Then we create a small portfolio webpage using basic HTML and CSS, and we use Git to manage every step of its development. This helps you learn Git with a real project, just like you would in a professional environment.
Here’s what you will learn:
What Git is and why developers rely on it
How to install and configure Git on your computer
How to create your first repository
How to track changes with commits and commit messages
How branches work and when to use them
How to merge and resolve merge conflicts
How to publish your project on GitHub
Best practices used by real teams
By the end of the course, you’ll be able to use Git confidently in any project and understand all the essential commands used daily by developers.
Let’s build your first Git-powered project together!
Who this course is for:
- Anyone who works with files and wants to track changes professionally. Perfect for self-taught programmers, designers, writers, data analysts, students, researchers, or anyone collaborating on projects who needs to understand modern version control and team workflows.
Claude Code Mastery: Subagents, MCP, Hooks & AI Workflows
Friday, December 5, 2025
Build Generative AI-augmented using Claude Code, MCP servers, Subagents, Slash Commands, Hooks & GitHub Actions
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Description
“This course contains the use of artificial intelligence to give better experience on a better voice quality”
Course Overview
Master Claude Code, AI Subagents, MCP Servers, Slash Commands, Hooks, and GitHub Actions to build next-generation AI-augmented developer workflows. This course is your complete guide to the future of software engineering—where AI works alongside developers through automated pipelines, intelligent context handling, and well-orchestrated subagent systems.
This hands-on program teaches you how Claude Code transforms development productivity by acting as an AI teammate capable of executing workflows, running MCP servers, generating code, reviewing API designs, maintaining memory, and performing GitHub-integrated automations.
Whether you’re a software engineer, DevOps professional, QA engineer, or an AI enthusiast, this course equips you with the skills to build enterprise-grade AI workflows using Claude Code’s cutting-edge capabilities.
Learning Objectives
By the end of this course, students will be able to:
Understand Claude Code: Explain how Claude Code functions as both an MCP server and client, and its role in AI-assisted development
Implement Subagent Systems: Design and deploy specialized AI subagents for different aspects of the development lifecycle. We will go over understanding how Subagents work and what are their benefits
Slash Commands: Developers trigger powerful coding, debugging, and automation actions directly from chat. They streamline workflows by invoking predefined tools, hooks, and GitHub Action integrations with a simple command.
Workflow: An automated, multi-step process that Claude can run on your codebase—such as generating code, refactoring, testing, or syncing changes—based on defined steps in your project configuration. It acts like a programmable pipeline that Claude executes deterministically, ensuring repeatable and reliable automation triggered by slash commands or file changes.
Configure MCP Servers: We will take a deep dive on MCP server. Set up and integrate Model Context Protocol servers to extend Claude Code's capabilities. We will integrate with the MCP servers
Memory Systems: Create and maintain hierarchical memory structures that enhance AI assistance quality
Apply Best Practices: Implement enterprise-ready workflows using AI subagents while maintaining security and compliance standards
SECTION 1 — Introduction
You’ll start with a high-level view of large language models and how Claude Code builds on them to act as both an MCP client and server. Learn installation, extension setup, and create your first “Hello World” application inside the IDE.
SECTION 2 & 3 — Slash Commands
Understand Slash Command structure, frontmatter definitions, and backend logic.
Learn how to create custom commands powered by Bash scripts to automate:
Code refactoring
Git commits & version control
MCP integration
Multi-step workflows
Hands-on labs reinforce practical usage.
SECTION 4 — Subagents: General Purpose
Dive deep into the Subagent
You’ll build intelligent multi-agent systems that perform tasks like:
Travel planning
Trip scheduling
Restaurant recommendations
Parallel & sequential orchestration
These modules teach AI planning and agent chaining.
SECTION 5 — Subagents for Developers
Use Subagents to accelerate real engineering workflows:
API review assistants, documentation reviewers, code auditors, and more.
Perfect for teams adopting AI pair-programming at scale.
SECTION 6 — Workflows with Subagents + Slash Commands
Build hybrid pipelines combining Slash Commands and Subagents.
Create deterministic workflows that Claude executes reliably for:
Code changes
Commit flows
Automated testing
Structured build steps
SECTION 7 & 8 — Claude Code Memory (Theory + Hands-On)
Master Claude’s hierarchical memory system, including:
Context preservation
User memory
Project root memory
Subdirectory memory
Memory priority
Memory access commands
This section teaches persistent multi-file context handling—critical for large projects.
SECTION 9 — All About MCP
A full deep dive into Model Context Protocol, covering:
MCP
Server components
Transports
End-to-end data flow
You will clearly understand how tools communicate with Claude.
SECTION 10 — Claude Code with MCP Servers
Integrate powerful servers:
Puppeteer MCP
Sequential Thinking MCP
GitHub MCP (with and without authentication)
Learn how MCP extends Claude Code into a full automation platform.
SECTION 11 — Hooks
Type Script formatting
Activity logging
Execution safeguards
Multi-step sequences
Debugging failing Hooks
SECTION 12 — Claude Code with GitHub Actions
Pull Request creation
Bug fixing
Code review workflows
Repo updates
Continuous automation pipelines
Who this course is for:
- Software developers seeking to enhance productivity with AI assistance, Engineering managers exploring AI integration in development workflows DevOps engineers interested in AI-powered automation, Computer science students focusing on AI applications in software engineering
AI For Developers With GitHub Copilot, Cursor AI & ChatGPT
Tuesday, November 25, 2025
Leverage AI to boost your productivity as a developer: Use GitHub Copilot, Cursor AI and ChatGPT for efficient coding
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Description
This is THE course developers should take to leverage AI efficiently!
AI is not a threat—it’s an incredibly powerful tool that can help you become an even more efficient and productive developer. While AI can generate code snippets and assist with routine tasks, it still needs your developer knowledge to create safe, reliable and complex applications. This course is all about teaching you how to combine your developer skills with AI tools to boost your developer productivity.
By learning how to use AI tools like GitHub Copilot and Cursor AI efficiently, you can make routine coding tasks faster and easier, leaving you more time to focus on the most important and creative aspects of development. This course shows you exactly how to do that.
You’ll discover how to integrate AI seamlessly into your workflow, ensuring that it complements your knowledge without replacing the essential role you play as a developer. AI is here to enhance, not replace, your skills.
Through practical demos with GitHub Copilot, Cursor AI and external services like ChatGPT, you’ll learn how to leverage AI to improve your coding speed, enhance productivity, and solve complex challenges more efficiently. Whether you’re just starting out or already have experience, this course will teach you how to use these tools to your advantage.
What’s in this course?
Introduction to GitHub Copilot: Learn what GitHub Copilot is. Explore its core features like code suggestions, chat and contextual code assistance.
Advanced GitHub Copilot Usage: Dive into more advanced features such as generating unit tests, configuring chat settings and understanding how to prompt the AI for more complex tasks.
Mastering Cursor AI: Discover how Cursor helps with code completion, chat, Cursor Composer and smart suggestions to make coding faster and more intuitive.
External AI Tools: Learn how to integrate external services like ChatGPT into your workflow to streamline tasks like project planning, researching and even asset generation.
Real-World Practice Project: I’ll walk you through creating a REST API from scratch using AI tools. From planning and structuring the app to generating code, implementing features and fixing errors, you’ll see how AI tools can assist every step of the way.
Prompt Engineering Essentials: Learn how to fine-tune your prompts to get the best outputs from AI, helping you avoid common pitfalls and optimize efficiency.
Debugging and Troubleshooting with AI: See how AI tools can assist with error detection, fixing bugs and improving your code’s overall quality.
This course is short, practical, and straight to the point, designed to equip you with everything you need to start boosting your productivity right away.
I think the future of development is about collaboration between AI and developers—and this course teaches you the tools you need to do so.
Check out the full curriculum, watch the free preview videos and enrol now to take your coding efficiency to the next level with AI!
Who this course is for:
- Developers looking to boost productivity with GitHub Copilot, Cursor and other AI tools
- Anyone curious about AI-driven development and seeking hands-on experience with real projects
Introduction to OpenAI API & ChatGPT API for Developers
Tuesday, November 18, 2025
Introduction to OpenAI API & ChatGPT API for Developers, Intro to GenAI. Integrate APIs from OpenAI such as ChatGPT (GPT-3.5 & GPT4), Whisper & DALL-E in your own applications
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What you'll learn
- Introduction to Gen AI
- Understand the fundamentals of OpenAI and ChatGPT APIs
- Register for an OpenAI account and get an API key
- Understand key concepts: prompts, models, & tokens
- Use the AI model behind ChatGPT
- Use Postman to work with the OpenAI API
- Navigate and utilize the OpenAI Playground effectively
- Differentiate between GPT-3.5 models and their use cases
- Generate images with DALL-E (Image API)
- Transcribe speech using the Whisper API
- Learn how to manage API costs effectively
- Configure OpenAI models for creative output (temperature)
Master MCP: Unlock Next-Gen LLM Integration Skills Today
Thursday, June 19, 2025
Connect LLMs to real tools using Model Context Protocol – MCP is the standard every AI developer will need soon
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Description
What if the biggest obstacle to building truly powerful AI apps isn't the AI models themselves, but the messy, brittle ways we integrate them with external tools and data?
Imagine a single, universal standard—like the USB-C of AI—that lets your Large Language Models (LLMs) seamlessly connect to any API, database, or even other AI systems. No more chaotic integrations, custom hacks, or fragile workflows. Just a clean, structured approach to bridge your LLMs with the dynamic world outside.
This is exactly what Model Context Protocol (MCP) provides. MCP is the groundbreaking open standard transforming the landscape of AI integration. It’s the essential link that finally enables LLMs to act as powerful, reliable, and scalable digital agents interacting effortlessly with external resources.
This comprehensive course provides the hands-on training you need to become an expert in MCP. We move quickly from core fundamentals to practical, real-world projects, empowering you to build sophisticated LLM applications that dynamically interact with their environment. Mastering MCP is not just about learning another protocol—it's a fundamental paradigm shift for developers working with Large Language Models. This knowledge is essential for creating the next generation of intelligent applications.
Who Should Enroll?
AI developers and LLM engineers eager to master cutting-edge integrations.
Innovators struggling with brittle integrations and seeking a streamlined approach.
Tech leaders and entrepreneurs aiming to build advanced intelligent and automated systems.
Anyone determined to stay ahead in the fast-moving Generative AI space.
Note: This is not a beginner-level course. It assumes you have a background in software engineering and are proficient in Python.
What You’ll Achieve
Master the Model Context Protocol (MCP) from the ground up.
Connect LLMs effortlessly to external tools, databases, or real-world APIs.
Build robust, scalable, and reliable AI agent applications.
Leverage pre-built MCP servers for instant integration of real-time data into your apps.
Create custom MCP servers tailored for proprietary or internal systems.
Transform basic LLMs into powerful, action-oriented agents.
Develop a portfolio of hands-on projects to showcase your skills.
Note: This course is also a work in progress—just like the cutting-edge MCP technology it covers. New lessons, including Docker deployments, security, and cloud integration, are coming by the end of July.
Why This Course?
The future of AI isn't just bigger models—it’s smarter, more capable agents performing seamless real-world actions. MCP is your gateway to that future. Don’t let complex integrations slow your innovation. Join today and start building robust, actionable, and scalable AI solutions.
Enroll now and turn your LLM ideas into reality—fast.
Who this course is for:
- AI developers who want to integrate LLMs with real-world tools and APIs
- LLM engineers looking to build powerful, tool-using agentic systems
- Anyone who wants to stay ahead of the curve in the fast-moving GenAI space
RabbitMQ 4.0 Masterclass: The Definitive Guide
Saturday, June 7, 2025
2025 | Brand New | In Depth Comprehensive Concepts | Coding Examples | Microservices | Event Driven Architecture
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Description
Released in 2025. BRAND NEW COURSE.
Master RabbitMQ: Supercharge Your APIs and Level Up Your Career!
$ A Game-Changer for Developers (RMQ 0.9.1 and RMQ 1.0) $
Are you ready to take your software development skills to the next level? Imagine building APIs that are faster, more reliable, and capable of handling massive amounts of traffic with ease. Whether you're a beginner stepping into the world of messaging systems or a developer looking to scale your applications, this course will unlock the full potential of RabbitMQ for you!
What is RabbitMQ, and Why Should You Learn It?
In today's fast-paced world of software development, real-time data processing and efficient communication between services are critical. RabbitMQ is a powerful message broker that enables seamless communication between different parts of an application, making it the backbone of scalable, event-driven architectures.
Mastering RabbitMQ allows you to:
Enhance Your APIs: Add real-time messaging to your APIs, making them more powerful and responsive.
Scale Like a Pro: Design architectures that handle millions of requests effortlessly.
Future-Proof Your Career: RabbitMQ is widely used in enterprise applications, making it an in-demand skill for developers worldwide.
Build Resilient Microservices: Manage distributed systems efficiently by decoupling services, improving fault tolerance, and optimizing performance.
Master Event-Driven Architecture: Learn how to design and implement EDA to create highly scalable and loosely coupled systems.
What You'll Learn
1. Messaging Fundamentals & Event-Driven Architecture
Understand how messaging queues work and why they are essential in modern applications.
Learn the key concepts of event-driven architecture and how RabbitMQ plays a crucial role in it.
2. Mastering RabbitMQ From Scratch
Install and configure single instance of RabbitMQ as well as a cluster in cloud environments.
Explore message queues, exchanges, bindings, and routing keys.
3. Level Up Your APIs With RabbitMQ
Integrate RabbitMQ into your existing APIs to enhance performance and reliability.
Build event-driven microservices that scale effortlessly.
Learn how to handle asynchronous messaging, task queues, and background processing.
4. Microservices & Event-Driven Architecture in Action
Understand microservices architecture and its advantages over monolithic applications.
Learn how RabbitMQ facilitates communication between microservices using event-driven patterns.
Implement real-world microservices that leverage RabbitMQ for seamless integration and communication.
5. Advanced RabbitMQ Features
Work with durable queues, message acknowledgments, and retries to ensure message delivery.
Implement priority queues, dead-letter exchanges, and time-to-live (TTL) policies.
Explore high availability and clustering to keep your applications running 24/7.
6. Secure, Monitor & Optimize RabbitMQ
Learn best practices for RabbitMQ.
Monitor RabbitMQ performance and troubleshoot issues like a pro.
Optimize messaging patterns for maximum efficiency.
Why Choose This Course?
Perfect for Beginners & Experienced Developers – No prior RabbitMQ experience needed! We guide you step by step, from fundamentals to advanced topics.
Hands-On Learning – Build real-world projects that demonstrate RabbitMQ’s full potential in action.
Career-Boosting Skills – Companies like Netflix, Uber, and Airbnb rely on RabbitMQ. Stand out in job interviews with expertise in one of the most powerful messaging systems available.
Expert Guidance – Learn from a seasoned instructor with deep knowledge of messaging architectures and distributed systems.
Who Should Take This Course?
Developers looking to enhance their APIs and backend systems.
Engineers interested in learning event-driven architectures and real-time messaging.
Anyone who wants to future-proof their career by mastering one of the most sought-after technologies in the industry.
Become a RabbitMQ Expert & Elevate Your Software Career!
If you're serious about taking your backend development skills to new heights, this course is your ultimate guide. By the end, you’ll have the confidence to build, deploy, and scale robust applications with RabbitMQ.
Don’t get left behind in the world of modern software development—Enroll Now and start mastering RabbitMQ today!
Who this course is for:
- RabbitMQ Enthusiasts
- Anyone who wants to understand the role of message brokers in Microservices
- Anyone aspiring to learn any Message Broker
- Software Developers
- System Engineers
- API Developers
- Chat Application Developers
- Go(Golang) Developers
- Anyone who wants to gain expertise in RabbitMQ or AMQP or any Message Broker
- Anyone who wants to build highly scalable Microservices
- Anyone who wants to learn Event Driven Architecture
Complete Kubernetes: Easy & Practical Guide + Project
Monday, February 10, 2025
Beginner Level: Learn the Original Kubernetes to Use on Any Cloud (GKE, AKS, EKS...) + Amazing Capstone Project!
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Description
The Ultimate Kubernetes Course for Beginners: Now with Multilingual Subtitles!
Available with quality subtitles in Hindi, Spanish and English.
What is Kubernetes?
Kubernetes is the most powerful DevOps technology for managing (or orchestrating) the entire lifecycle of cloud applications. Google, for example, deploys more than 12 billion applications monthly based on Kubernetes, including well-known services such as Search, YouTube, Gmail, Google Play, Chrome, among others.
Currently, Kubernetes is a phenomenon in the technology sector, being adopted by the most innovative companies due to its versatility, security, and performance. With Kubernetes, it is possible to deliver new software and updates in record time, meeting the demands of the modern internet.
In summary, Kubernetes is a technology for orchestrating production-ready containers, according to the official definition of Kubernetes itself.
If I don't understand something, can the instructor help me?
Yes, absolutely! We want to ensure you feel fully supported throughout the course. We have a dedicated Q&A section where you can clarify your doubts. Additionally, you can send questions directly to the instructor privately, and they will respond with care and attention. Most questions receive responses in less than 4 hours, but the standard is under 24 hours during the week. We're here to make your learning journey as smooth as possible!
What is the difference between Kubernetes and GKE (Google), AKS (Azure), EKS (Amazon), ACK (Alibaba), among others?
The difference is significant, as GKE, AKS, EKS, and ACK are not Kubernetes themselves! Kubernetes is a container orchestration system, an independent, open, and free technology. This training will teach Kubernetes in its pure form, which can be fully reused in any environment with Kubernetes installed, whether locally or in the cloud.
In general terms, GKE, AKS, EKS, and ACK are products that use Kubernetes. They are provided as services by the companies Google, Microsoft, Amazon, and Alibaba, respectively, to create an environment (cluster) where you can run your Kubernetes applications outside your company, that is, in their cloud. This is known as Managed Kubernetes Platform.
In summary, Kubernetes is the underlying technology, while GKE, AKS, EKS, and ACK are managed services that facilitate the deployment and operation of Kubernetes clusters in their respective clouds. Each of these services has its own specific characteristics and integrations, allowing you to choose the most suitable for your needs. Learning Kubernetes is essential to stand out in the world of distributed cloud applications with containers, regardless of the chosen platform.
Therefore, GKE, AKS, EKS, and ACK are, in essence, environments to install Kubernetes. They charge for this service and offer other additional services to add value to your Kubernetes environment (cluster).
Who owns Kubernetes?
Kubernetes is an open-source project under the management of the Cloud Native Computing Foundation (CNCF). The CNCF is a sub-organization of the Linux Foundation, a non-profit entity that also oversees the development of the Linux operating system. Therefore, although Kubernetes is a community project with contributions from various organizations and individuals, governance and strategic guidance are provided by the CNCF and, ultimately, by the Linux Foundation.
Why should I learn Kubernetes?
Learning Kubernetes puts you at the forefront of the expanding market for distributed cloud applications that use containers. With this course, you will have the opportunity to equip yourself with the same powerful tools used by industry giants!
The most impressive thing is to know which other organizations, besides Google, are using Kubernetes to innovate their systems. NASA, Nubank, Spotify, Adidas, Tinder, Airbnb, Bloomberg Financial Data Analytics, and Udemy are just a few examples of leading companies in innovation and market power that use Kubernetes.
This course will not only give you a deep understanding of Kubernetes but will also provide you with practical skills that you can immediately apply in your work. Whether to improve the efficiency of your current organization or to increase your employability in the market, knowledge of Kubernetes is a valuable skill that can open many doors for you.
What will I have acquired upon completing this training?
This course will prepare you with comprehensive knowledge of Kubernetes, starting with the basics. You will understand what a container orchestrator is, what Kubernetes is, and the various possibilities of its use.
But we don’t stop there! This training will prepare you to manage the entire lifecycle of your application using Kubernetes. You will be able to handle the daily challenges that a Kubernetes administrator faces, acquiring professional skills to solve problems effectively and assertively.
At the end of this course, you will not only have a theoretical understanding of Kubernetes but will also have practical experience in solving real problems. This knowledge and experience will contribute to a successful career in the field of DevOps and help you stand out in the job market.
Course Structure
This course is structured based on an innovative neurolearning methodology. This pedagogical approach uses advanced teaching techniques that allow the student to absorb up to 70% more of the content of the technology under study, all with reduced mental effort.
The course content is organized around three fundamental pillars:
Understanding: What is Kubernetes? Here, you will understand the concept behind this powerful tool.
Application: Why use Kubernetes? In this pillar, we will discuss the purpose and advantages of using Kubernetes.
Practice: How to implement Kubernetes? Here, you will learn the practice of implementing and using Kubernetes in real-world scenarios.
The course is designed to be highly practical: 80% of the content is dedicated to practical classes, while the remaining 20% is reserved for theory and fundamental concepts. This approach ensures that you not only understand Kubernetes but are also ready to effectively apply it in your work environment.
Additionally, the course goes beyond the simple use of Kubernetes. It focuses on providing a deep understanding of what is happening behind the scenes. This will allow you to become a highly valuable professional, capable of handling complex situations and making informed decisions.
What professional level will I reach with this training, and how complete is the course?
This course offers initial professional training, preparing you to enter the job market as a Kubernetes Administrator (Initial Level). The training content has been carefully crafted so that you are able to handle various situations related to the daily operation of Kubernetes. The course is pedagogically balanced and covers:
Basic Themes: The course addresses all the fundamental aspects of Kubernetes.
Intermediate Themes: Includes common day-to-day operations.
Advanced Themes: Deals with some advanced topics, focusing only on the essential issues.
Final Course Project
The final project is an opportunity to apply all the knowledge acquired during the training in a professional manner. The challenge consists of the complete orchestration of a widely used professional system.
The course will provide all the necessary conditions for you to face this challenge with confidence. The project will be carried out step by step, with detailed explanations from the teacher, so that you can achieve the final goal: to orchestrate a professional application, managing the entire software lifecycle. This includes deploying the software in production, managing fundamental aspects, and finally, removing the application. This practical experience will equip you with the necessary skills to stand out in the field of DevOps.
Do I need to pay for a cloud service (Google, Azure, Amazon, Alibaba, etc.) to take this course?
No, you don’t need to! This course is based exclusively on FOSS (Free and Open Source Software) technologies. Therefore, you will not have to spend a single penny to use the technologies taught in this training, nor provide your credit card details to any company. We believe it is unacceptable for these large corporations to continue to monetize students.
In this course, we will use minikube, a system developed by the creators of Kubernetes themselves. Minikube creates a real (cluster) Kubernetes environment, complete with all the functionalities needed to run everything we need to learn in this training, and best of all, at no cost! This is because minikube is FOSS!
But what is minikube?
Minikube is a system specifically designed to teach and learn Kubernetes. The Cloud Native Computing Foundation (CNCF) and the Linux Foundation (CNCF partner and Kubernetes certifier) strongly recommend and encourage the use of minikube for learning.
Everything we study using minikube will work identically in any environment where Kubernetes is installed, whether in a public cloud (Google, Azure, Amazon, Alibaba, etc.), a Raspberry Pi, a Virtual Machine, or Bare Metal (physical servers), for example.
What do I need to know before taking this course?
Before enrolling in this course, it is important that you have knowledge in three main areas:
Docker: This course assumes that you are already familiar with Docker, as it will not be covered here.
Computer networks: It is necessary to understand the basic concepts of computer networks, including TCP/IP, DHCP, DNS, Proxy, and Load Balancer.
GNU/Linux: We recommend that you have basic knowledge of GNU/Linux.
Is this course suitable for the Certified Kubernetes Administrator (CKA) and Certified Kubernetes Application Developer (CKAD) certifications?
This course is essential for those planning to take the CKA and CKAD certification exams. It covers the concepts, resources, and components that are part of these exams. However, we recommend additional studies and taking practice exams before taking the actual exam, as this course does not include practice exams.
About the instructor
The course is taught by Prof. Eng. Arnaldo Sousa, who has a background in Software Engineering, IT Management, and Systems Analysis and Development. He has served as an official instructor and consultant for IBM and Sun Microsystems (now Oracle), and is a licensed teacher with various specializations in the field of education, including Teaching, Communication, Neurolearning, Neuropsychology, Philosophy, and Special Education.
With extensive experience in using and teaching new technologies, Professor Arnaldo Sousa will present Kubernetes in an extremely comprehensible and accessible way!
Ready to take your career to the next level with Kubernetes? Don’t miss out on this opportunity to master the most sought-after skills in the industry. Enroll now and start your journey towards becoming a Kubernetes expert!
Who this course is for:
- DevOps teams;
- Software operators;
- Ambitious software developers;
- Professionals looking for new cloud technologies;
- IT people who aspire to increase their compensation;
- IT students who want to boost their professional resume;
- Researchers of new high-performance distributed technologies.
Docker, Kubernetes & AWS: Real-World Deployment in 25 Days
Sunday, December 22, 2024
Build and run applications from scratch with Docker, Kubernetes, and AWS. The step-by-step guide from Beginner to Pro.
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Description
Ready to Level Up Your Deployment Skills?
Whether you’re starting from scratch—no Docker knowledge, no automated pipelines, and no idea how to tackle real-world cloud deployments—or you’ve already run a few containers and want to sharpen your production-ready expertise, this journey is for you. It’s not about where you begin; it’s about how far you can go.
Picture yourself just a few weeks from now: you’ve confidently built and run containerized applications, implemented HTTPS to safeguard user data, fine-tuned asset delivery for peak performance, and set up load balancers to ensure your services stay online under heavy demand. You’ve mastered a streamlined continuous deployment flow from GitHub to AWS App Runner, and explored other production-grade solutions like AWS ECS and Kubernetes to diversify your skill set. Every step of the way, you’re moving closer to running deployments that are efficient, resilient, and scalable.
Gain a Future-Proof Skill Set
This isn’t just a checklist of tasks - it’s a transformation in how you think about delivering software. You’ll gain the confidence to ship code without downtime anxiety, adapt quickly to changing traffic patterns, and smooth out your entire development-to-deployment pipeline. The result? A strong, future-proof skill set that can elevate your career and open up new opportunities, whether you’re an absolute beginner or honing your deployment prowess.
Your 25-Day Roadmap:
Days 1–5: Start simple. Run your first Docker container, bring a site live, secure it with HTTPS, and connect it to a custom domain.
Days 6–10: Advance to building production-ready images with Dockerfiles and multi-stage builds. Push these images to private registries and establish a continuous deployment pipeline from GitHub to AWS App Runner.
Days 11–15: Dive deeper into AWS. Manage networking, ensure data persistence, and integrate multi-container apps seamlessly into the cloud.
Days 16–20: Orchestrate multi-service deployments with Docker Compose. Introduce load balancing and gain the confidence to pick your next steps—stay with App Runner or embrace ECS or Kubernetes down the road.
Days 21–25: Pull it all together. Manage advanced configurations, persistent storage, and scaling strategies, ensuring your final environment is truly production-ready.
Why This Course Is Different
You’ll learn by doing, working through practical exercises each step of the way. There’s no guesswork—just clear, hands-on guidance designed to make these tools feel second nature. Whether you’re a newcomer or have some familiarity, this course will sharpen your skills and give you the confidence to tackle real deployment challenges head-on.
Enroll Today and Transform Your Skills
In just 25 days, you’ll go from a complete beginner to a capable, adaptable professional. You’ll know how to containerize, secure, automate, and scale applications—ready to apply these skills in your current role or future projects.
Sign up now and start mastering Docker, AWS, and beyond.
Who this course is for:
- Beginners who want a structured, day-by-day approach
- Developers and sysadmins looking to enhance their containerization and cloud deployment skills
- Anyone aiming to confidently navigate Docker, Kubernetes, and AWS for real-world deployments
Generative AI for .NET Developers with Azure AI Services
Tuesday, December 3, 2024
Learn to develop smart .NET applications backed by powerful generative AI components
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Description
Unlock the potential of Generative AI and take your .NET applications to new heights with Generative AI for .NET Developers with Azure AI Services. This comprehensive course will equip developers, business leaders, and technical specialists with the tools, knowledge, and confidence to build, deploy, and manage AI-powered applications that drive real value. Whether you're a developer eager to add AI skills to your toolkit or a manager looking to enhance your team’s AI capabilities, this course provides a step-by-step pathway to mastering generative AI on Azure.
What You’ll Learn:
In this course, you’ll gain hands-on experience with Azure’s cutting-edge AI services, from foundational concepts to advanced techniques. Our carefully designed curriculum ensures you understand how generative AI works and why it’s transforming industries across the globe. Key takeaways include:
Foundational Knowledge of Generative AI and Key Algorithms: Understand the principles behind generative AI, including neural networks, transformers, and models like GANs. Learn how these concepts empower real-world applications like chatbots, image generation, and content automation.
Practical Skills with Azure’s AI Tools: From Azure OpenAI to Cognitive Services, explore how Azure’s robust AI ecosystem enables integrating advanced AI capabilities without complex setups. Through labs and practical exercises, you’ll become fluent in leveraging these tools directly in .NET applications.
Real-World Applications of AI in .NET Development: Apply your new skills to projects that simulate business scenarios. Build real-value applications, from automated customer support to intelligent document generation, that demonstrate AI's impact on your business.
Scalable and Secure Deployment on Azure: Learn how to deploy AI models in the cloud with Azure’s reliable, scalable infrastructure. With best practices in security, cost management, and performance monitoring, you’ll be prepared to create AI solutions that are both efficient and sustainable.
Responsible and Ethical AI: Get guidance on implementing AI responsibly, emphasizing ethics, transparency, and data privacy. Azure’s AI tools provide built-in features to ensure your AI applications are fair, secure, and trustworthy.
Who Should Enroll?
This course is ideal for:
Developers and Technical Leads: Gain in-demand skills to build advanced .NET applications powered by Azure’s AI services, giving you a competitive edge in the marketplace.
Managers and Business Decision Makers: Discover how generative AI can enhance operations, drive innovation, and create value, empowering you to make strategic decisions about AI implementation.
Training Specialists and Learning & Development Teams: Equip your workforce with the tools and knowledge to excel in the age of AI, fostering innovation and efficiency within your organization.
Why Choose This Course?
This is more than just a training program – it’s a complete learning journey. You’ll benefit from clear, engaging explanations, hands-on labs for every concept, and real-world projects that bring generative AI to life. By the end of this course, you’ll not only have a portfolio of AI-driven .NET applications but also the skills to deploy, manage, and innovate with AI solutions confidently.
Join us in this transformative learning experience and see how generative AI can reshape your development process, enhance customer engagement, and drive operational success. Together, we’ll turn complex AI concepts into actionable business insights and solutions that bring measurable impact.
Enroll now and let’s start building the intelligent applications of tomorrow!
Who this course is for:
- Developers
- Technical Leads
- Business Managers
The Ultimate Git & GitHub Course 2024: Start From Scratch
Thursday, July 4, 2024
The Ultimate Git & GitHub Course 2024: Start From Scratch, Learn Git & GitHub from very Basic to Advanced Concepts using Commands & Modern GUI tools GitHub Desktop & GitKraken
Description
Git & GitHub are the most useful and every company loves to hire developer who understand and work with Git & GitHub effectively.
And I think that's why you came here And you came to the right place! This is The ultimate Git & GitHub course for 2024 and for the Future.
[>>] Benefits of this course:
Understand Git from very Scratch to Advanced Concepts
Add Git & GitHub to your skill-set means getting a job
Manage & Work with Git Projects without feeling stress
Understand all Git concepts in a Simple and Easy way
I will teach you all concepts from its very basic to advanced level in very easy to explain language and by using best techniques.
[>>] Topics covered in this course:
What is Git? Why every company loves Git?
How Git really works
Configuring Git in system
Git Basics like staging the files and Commit them
Ignoring some files with .gitignore
Complete section for browsing the commit history
Compare two commits
Return to specific commit
Adding Tags
Branches and Merging which is the most important topic of Git
Stash the changes
Different types of merging
Resolving Conflicts like pro
Types of reset
Cherry picking technique
Working in team in with practical showcase of how team members works together using Git
Cloning, fetching, pull, push
Additional features of GitHub like releases, issues, milestones
How to contribute to open source project
How to organise our project history which makes your project looks professional
Modifying existing commits
Splitting and Squashing them
and much much more things... (Watch curriculum for more topics)
My name is Meet Patel and I am working as a software engineer. And I also teach programming in easy-to-explain language from my YouTube Channel "Code Bless You"
In this course we will learn Git both ways. First we will see Command line approach and also we will see How we can do the same using GUI tools like GitHub Desktop, Visual Studio Code and GitKraken.
If you take any of my courses or tutorial, you know I don't waste your time with repeated explanations. I will guarantee you, You will master Git after completing this course.
So lets don't waste time and get started with Git :)
Who this course is for:
- Developer who wants to Understand Git & Github Like Pro
- Developer who need Git for Job
- Freelancer or New Developer who want to manage their own Project
Git & GitHub For Beginners - Master Git and GitHub (2023)
Wednesday, June 26, 2024
Git & GitHub For Beginners - Master Git and GitHub (2023), Git & GitHub Masterclass for Beginners - Master Practical Key Concepts and Workflow of Git and Git Hub (Let's GIT IT!)
Description
Ultimate Master Class for Git, GitHub, GitLab, and SVN
(The Course Has been Optimized and now includes also Git and GitHub Premium Lectures)
Introduction
So you want to learn Version Control Systems.
Maybe that's Git, GitHub (or maybe both Git GitHub), GitLab, or even Bit Buckets. Doesn't really matter.
Let me teach you all the FUNDAMENTALS you need to get yourself STARTED as FAST as possible.
I know that your time is precious and maybe you're about to start a NEW JOB at your dream company or maybe you need to start working on your projects right away - so LET'S NOT WASTE TIME!
Studying our Git and GitHub Masterclass course will save you PLENTY of time googling and trying to connect the dots.
So WELCOME to my Ultra Practical & Summarized Git and GitHub Course to get yourself started! Let's Git It, shall we??
Who is it for?
Whether you want to improve your development skills, become a better programmer, or even increase your chances of getting your dream job.
You've come to the right place.
My name is Vlad and I’m talking about none other than my Version Control Systems (Git & GitHub) Ultimate Course where you're going to learn the basics of Git, its workflow, what is GitHub, and how Git and GitHub are connected.
So, if you’ve been using Python, C#, C++, or maybe you’re a Web Developer who’s using JavaScript, HTML, and CSS - what I can tell you, is this one thing - this course is definitely for you!
About the Course
Chapter 1 - Introduction to Version Control Systems (General - without Git / GitHub)
1. Common problems developers face (two main scenarios - without git, no version control, no collaboration)
2. What is a VCS in general (*and also what is Git, Git Hub, and even GitLab in particular)?
Chapter 2 - Learning Git Essentials
1. Git - Download & Install (covering "git version", "git help", "git help <command>")
2. Configuring basic git information (name+email).
3. Creating First Git Project (creating a project directory, "git init", "git status", talk about ".git" directory.
4. Basic Workflow of Git (creating new "hello_world" file, "tracked vs untracked", "3 stages", "git add", "git commit", "git log").
5. Basic Workflow of Git - Additional Practice (working with additional files in the project, modifying files, "git add .".
6. Reviewing Changes (diff "working directory" VS "last commit", "git diff").
7. Removing a file from git repository ("git ls-files", "git rm <file>", "git rm <file1> <file2>..., "git rm -r <dir>").
Chapter 3 - First Steps with GitHub
1. Why we need a Remote Version Control System (in general) and GitHub (in particular)?
2. Collaboration Importance.
3. What is GitHub and what does GitHub have to do with Git? Choosing RVCS!
Chapter 4 - Getting Started with GitHub
1. Creating a GitHub Account.
2. Configuring Remote GitHub Repository with Git.
Chapter 5 - GitHub (Commands & Functionalities)
1. Push Local Repository to GitHub.
2. Creating a New Repository on GitHub.
3. Clone, fork, and Pull - functionalities on GitHub.
4. Raw, Blame, and History - who to blame on GitHub :D.
5. Watch and Star.
6. GitHub Issues & Labels.
7. ".gitignore" - on both Git & GitHub.
8. Git GitHub: Branch & Merge.
9. Conflict Resolution using Git and GitHub.
Chapter 6 - Version Control Premium Content: Visualization, Flow, and Commands
1. Introduction to Extended Visualization of the Git mechanism
2. Local Git Workflow Diagram
3. Untracked files in Git
4. Tracking New Files in Git
5. Staging Modified Files
6. Two States After Staged
7. Committing the Changes - as part of the Git Workflow
8. Skipping the Staging Area
Chapter 7 - Branching - Full Introduction To Merging
1. Branching - Real Life Scenarios [Intro To Merge]!
Chapter 8 - Merging - Process, Steps, and Merge Techniques
1. Merge - Fast Forward Technique (+Git example)
2. Merge - Recursive Merging 3-Way Merge
Chapter 9 - Conflicts Resolution
1. Merge Conflict - General Introduction
2. Merge Conflict Resolution - Core Part & Usage (solving conflicts in Git)
Chapter 10 - GitLab (Remote Distributed Version Control System) - Introduction
1. Creating GitLab Account
2. Create "MyFirstVehicle" Project on GitLab (remote git)
Chapter 11 - GitLab (Start Working)
1. SSH - Configuration & Clone
2. Create a new file & Push it to the remote git repository on GitLab
3. GitLab - Creating New Branches
4. GitLab - Merge Requests
Chapter 12 - SVN (SubVersion) - Centralized Version Control System
1. SVN - Introduction
2. SVN Workflow
3. SVN VS Git
4. Installation Preparation
Chapter 13 - Tortoise SVN - Down to Business
1. Tortoise SVN - Download & Install
2. Tortoise SVN - Creating a New Repository
3. Tortoise SVN - Hands On
4. SVN - File Differences
5. SVN - Branches
Why Git & GitHub Version Control Systems Ultimate Course?
Since I know many of you guys want to get to business right away - I’ve created this ultimate course with the most essential content you will need to feel confident with Git and GitHub and get yourself started as fast as possible.
You will get all the necessary explanations, straight to the point, without any irrelevant content - exactly what you need (including all the "git setup", etc).
And the last thing that I want to mention here - this course will be yours to keep as the Git and GitHub Cheat Sheet you can and should use whenever you will need it.
So I guess you know that this "Git and GitHub" course is ABSOLUTELY NECESSARY for you and that’s something you must have in your Developer ToolBox.
And without further ado, ENROLL in the course RIGHT NOW and I’ll see you inside.
* The content is mainly regarding "Git" and "GitHub", but ALSO you will get a few ADDITIONAL sections such as "GitLab" and "SVN". So much content to get yourself started! :)
Vlad,
The AlphaTech.
Who this course is for:
- Students at the Academy who want to learn Git and GitHub VCS
- Graduated Computer Science, Computer Engineering, Electronic Engineering (who skipped Git in College)
- Programmers & Developers who want to improve their skills
- Python Developers to develop cool applications using Git
- JavaScript Developers
- Web Developers - who want to store their projects on Git GitHub
- C/C++/C# Developers
- Anyone who wants to know the essentials of Version Control in General and Git and Github in particular!
Docker – Guía práctica de uso para desarrolladores Curso
Thursday, January 19, 2023
Docker – Guía práctica de uso para desarrolladores Curso
Dockerfile, Compose, DockerHub, Registros, Despliegues, Volúmenes, Multi-staged builds, Multi architecture builds, y más
Docker es una plataforma de software de código abierto para automatizar despliegues de aplicaciones dentro de contenedores, y proporciona una forma eficaz de controlar versiones, agilizar el desarrollo y es una pieza fundamental para Kubernetes.
Poder crear, usar, y desplegar imágenes es una habilidad necesaria para cualquier desarrollador o administrador de hoy en día, ahorra mucho tiempo en la preparación de diferentes ambientes de desarrollo, testing, staging y production.
Este curso te dará las más que las bases para poder utilizar Docker de una forma productiva y funcional, aprenderemos mediante ejercicios prácticos y tareas. También cuenta con una sección introductoria a Kubernetes (K8s) para que adicionalmente puedas seguir explorando todo lo que el mundo de los contenedores ofrece.
El camino de este curso te llevará de no tener conocimiento alguno sobre Docker, hasta poder utilizar cualquier imagen, leer la documentación de las mismas, crear tus imágenes, configurarlas, utilizarlas, crearlas en diferentes arquitecturas y desplegarlas en registros en la nube.
Best Seller Curso: Docker Mastery: with Kubernetes +Swarm from a Docker Captain
Lo que aprenderás
- Docker CLI
- Construcción de imágenes
- Uso de imágenes, redes, volúmenes
- Repositorios privados y despliegues
- Dockerfile y multi-stage build
- Docker compose – multi-container applications
- Deployments Digital Ocean
- GitHub Actions – Automatizar construcción
Docker & Kubernetes: The Practical Guide [2023 Edition]
Apache Kafka Series - Confluent Schema Registry & REST Proxy
Thursday, September 8, 2022
Apache Kafka Series - Confluent Schema Registry & REST Proxy
Kafka - Master Avro, the Confluent Schema Registry and Kafka REST Proxy. Build Avro Producers/Consumers, Evolve Schemas
Description
The new volume in the Apache Kafka Series!
Learn Apache Avro, the Confluent Schema Registry for Apache Kafka and the Confluent REST Proxy for Apache Kafka. Join hundreds of knowledge savvy students into learning some of the most important components in a typical Apache Kafka stack.
Take a look at these student reviews...
5 stars - "Excellent course. A must for Apache Kafka users." – Mayank
5 stars -"Beautiful explanation of Avro and how to use it with Apache Kafka. This knowledge enhancing like all your other courses. We have Apache Kafka from Confluent in our enterprise and this is what I was exactly looking for. Thanks a lot." – Vinod
5 stars - "Stephane Maarek is truly remarkable instructor! His instructional videos do not disappoint, they keep me wanting more and provide exactly the Kafka skills needed to be successful." – Troy
----------------------------
Apache Avro is one of the most powerful and most popular fast data serialisation mechanism with Apache Kafka
> Schema is a first class citizen of the data
> Data serialisation format that is lightweight
> Documentation is embedded in the schema
> Easy to read and write using many languages
> Fast & Big data de-facto data serialisation format
Confluent Schema Registry for Apache Kafka is the de-facto standard way of storing Avro Schemas for your Apache Kafka Topics.
> Stores a versioned history of all your schemas in Apache Kafka
> Supports and enforces conditions for schema evolution (backward, forward, full compatibility)
> Kafka Avro Serialiser and Deserialiser automatically integrate with Apache Kafka and Confluent Schema Registry
> Make your messages much smaller and lighter! Perfect for increasing Apache Kafka throughput and performance
Confluent REST Proxy is the perfect way to communicate for sending Avro data using non Java languages to Apache Kafka.
> Write and Read binary, JSON and Avro data to Apache Kafka using an HTTP REST API
> Interact with Apache Kafka using any programming language (not just Java)
> Consult topic list and topic metadata in Apache Kafka
Hands On & Theory Based Course
Note: This course is comprehensive, and the Apache Kafka related bits do not start before the Kafka Schema Registry section. This is to ensure Avro Schema and Avro in Java is fully understood before moving to the Confluent Schema Registry for Apache Kafka.
This course is the first and only available Kafka Schema Registry and Kafka REST Proxy course on the web. Get it now to become an Apache Kafka expert!
===============================
Instructor
My name is Stephane Maarek, and I'll be your instructor in this course. I teach about Apache Kafka, the Kafka ecosystem and Kafka Certifications with my focus always on helping my students improve their professional proficiencies. I am also the co-founder of Conduktor: an enterprise Apache Kafka platform & UI to help everyone use Kafka.
Throughout my career in designing and delivering these certifications and courses, I have already taught 1,000,000+ students and gotten 350,000+ reviews!
With Apache Kafka becoming much more than a buzzword out there, I've decided it's time for students to properly learn how to be a Kafka professional. So, let’s kick start the course! You are in good hands!
===============================
This Course Also Comes With:
Lifetime Access to All Future Updates
A responsive instructor in the Q&A Section
Links to interesting articles, and lots of good code to base your next applications onto
Udemy Certificate of Completion Ready for Download
This is the course that could improve your career!
Apache Kafka is a skill in high demand and there are not enough people to fulfill all the open positions. You can boost your income, take on new roles and fun challenges. Many of my students are now the Kafka experts of their companies! You can be the next!
I hope to see you inside the course!
=======================
Note: Looking for more advanced Kafka concepts? There are many volumes in the Apache Kafka Series:
Learn Kafka for Beginners v2 (great to start)
Kafka Connect Hands On Learning
Kafka Streams for Data Processing
KSQL on ksqlDB - Hands On!
Kafka Cluster Setup & Administration
Confluent Schema Registry & Kafka REST Proxy
Kafka Security (SSL SASL ACL)
Kafka Monitoring and Operations
Happy learning!
Who this course is for:
- Developers who would like to learn how to write and run an application that leverages Avro and the Schema Registry
- Architects who want to understand the role of the Schema Registry and REST Proxy in an enterprise pipeline
- This course is intended for people who fully understand the basics of Kafka
- People who want to learn the Confluent Components: Schema Registry and REST Proxy
- Show less
Docker Mastery: with Kubernetes+Swarm from a Docker Captain
Wednesday, June 8, 2022
Free Udemy Coupon
Docker Mastery: with Kubernetes +Swarm from a Docker Captain - Build, test, deploy containers with the best mega-course on Docker, Kubernetes, Compose, Swarm and Registry using DevOps
- Bestseller
- Created by Bret Fisher, Docker Captain Program
- English, French [Auto]
Online Courses Udemy GET COUPON CODE
What you'll learn
- How to use Docker, Compose and Kubernetes on your machine for better software building and testing.
- Learn Docker and Kubernetes official tools from an award-winning Docker Captain!
- Learn faster with included live chat group (21,000 members!) and weekly live Q&A.
- Gain the skills to build development environments with your code running in containers.
- Build Swarm and Kubernetes clusters for server deployments!
- Hand's-on with best practices for making Dockerfiles and Compose files like a Pro!
- Build and publish your own custom images.
- Create your own custom image registry to store your apps and deploy in corporate environments.
Description
2021 Update: Ready for Apple Silicon (M1 arm64) and Raspberry Pi's!
Be ready for the Dockerized future with the number ONE Docker + Kubernetes mega-course on Udemy. Welcome to the most complete and up-to-date course for learning and using containers end-to-end, from development and testing, to server deployments and production. Taught by an award-winning Docker Captain and DevOps consultant.
Just starting out with Docker? Perfect. This course starts out assuming you're new to containers.
Or: Using Docker now and need to deal with real-world problems? I'm here for you! See my production topics around Swarm, Kubernetes, secrets, logging, rolling upgrades, and more.
BONUS: This course comes with Slack Chat and Live Weekly Q&A with me!
"I've followed another course on (Udemy). This one is a million times more in depth." "...when it comes to all the docker stuff, this is the course you're gonna want to take" - Student Udemy Review
Why should you learn from me? Why trust me to teach you the best ways to use Docker? (Hi, I'm Bret, please allow me to talk about myself for a sec):
I'm A Practitioner. Welcome to the real world: I've got 20 years of sysadmin and developer experience, over 30 certifications, and have been using Docker and the container ecosystem for my consulting clients and my own companies since Docker's early days. Learn from someone who's run hundreds of containers across dozens of projects and organizations.
I'm An Educator. Learn from someone who knows how to make a syllabus: I want to help you. People say I'm good at it. For the last few years, I've trained thousands of people on using Docker in workshops, conferences, and meetups. See me teach at events like DockerCon, O'Reilly Velocity, GOTO Conf, and Linux Open Source Summit. I hope you'll decide to learn with me, and join the fantastic online Docker community.
I Lead Communities. Also, I'm a Docker Captain, meaning that Docker Inc. thinks I know a thing or two about Docker and that I do well in sharing it with others. In the real-world: I help run two local meetups in our fabulous tech community in Norfolk/Virginia Beach USA. I help online: usually in Slack and Twitter, where I learn from and help others.
"Because of the Docker Mastery course, I landed my first DevOps job. Thank you Captain!" - Student Ronald Alonzo
"There are a lot of Docker courses on Udemy -- but ignore those, Bret is the single most qualified person to teach you." - Kevin Griffin, Microsoft MVP
Giving Back: a portion of my profit on this course will be donated to supporting open source and protecting our freedoms online! This course is only made possible by the amazing people creating open source. I'm standing on the shoulders of (open source) giants! Donations will be split between my favorite charities including the Electronic Frontier Foundation and Free Software Foundation. Look them up. They're awesome!
This is a living course and will be updated as Docker and Kubernetes features change.
This course is designed to be fast at getting you started but also get you deep into the "why" of things. Simply the fastest and best way to learn the latest container skills. Look at the scope of topics in the Session and see the breadth of skills you will learn.
Also included is a private Slack Chat group with 20k students for getting help with this course and continuing your Docker and DevOps learning with help from myself and other students.
"Bret's course is a level above all of those resources, and if you're struggling to get a handle on Docker, this is the resource you need to invest in." - Austin Tindle, Course Student
Some of the many cool things you'll do in this course:
Edit web code on your machine while it's served up in a container
Lock down your apps in private networks that only expose necessary ports
Create a 3-node Swarm cluster in the cloud
Install Kubernetes and learn the leading server cluster tools
Use Virtual IP's for built-in load balancing in your cluster
Optimize your Dockerfiles for faster building and tiny deploys
Build/Publish your own custom application images
Learn the differences between Kubernetes and Swarm
Create your own image registry
Use Swarm Secrets to encrypt your environment configs, even on disk
Deploy container updates in a rolling always-up design
Create the config utopia of a single set of YAML files for local dev, CI testing, and prod cluster deploys
And so much more...
After taking this course, you'll be able to:
Use Docker in your daily developer and/or sysadmin roles
Deploy apps to Kubernetes
Make Dockerfiles and Compose files
Build multi-node Swarm clusters and deploying H/A containers
Make Kubernetes YAML manifests and deploy using infrastructure-as-code methods
Build a workflow of using Docker in dev, then test/CI, then production with YAML
Protect your keys, TLS certificates, and passwords with encrypted secrets
Keep your Dockerfiles and images small, efficient, and fast
Run apps in Docker, Swarm, and Kubernetes and understand the pros/cons of each
Develop locally while your code runs in a container
Protect important persistent data in volumes and bind mounts
Lead your team into the future with the latest Docker container skills!
Extra things that come with this course:
Access to the course Slack team, for getting help/advice from me and other students.
Bonus videos I put elsewhere like YouTube, linked to from this course's resources.
Weekly Live Q&A on YouTube Live.
Tons of reference links to supplement this content.
Updates to content as Docker changes their features on these topics.
Who this course is for:
- Software developers, sysadmins, IT pros, and operators at any skill level.
- Anyone who makes, deploys, or operates software on servers.
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Vim Masterclass
Monday, October 4, 2021
Free Udemy Coupon
Vim Masterclass - Mastering the vi and Vim Editors on the Linux, Unix, Mac, and Windows Operating Systems
- Bestseller
- Created by Jason Cannon
- English [Auto], French [Auto]
Online Courses Udemy GET COUPON CODE
What you'll learn
- Edit plain text files quickly and efficiently using the Vim text editor.
Description
Did you know that the most productive command line experts exploit the powerful features of the Vim text editor?
The problem is that if you want to get really good with Vim it can take you an extremely long time if you're trying to learn it on your own.
That's why the Vim Masterclass was created.
This course gives you the absolute shortest path to learning the basics. It also provides you the fastest way to learn the most advanced features, too.
By the time you finish the Vim Masterclass you'll know how to:
Work with multiple files, including how to move data back and forth between different files, copying & pasting from one file to another, and quickly jumping to another file. You'll also learn how to view multiple files at the same time using Vim's windowing system.
Use the must-know keyboard shortcuts and how to remember them easily. You'll actually learn how to "think in Vim" so you don't even have to memorize each and every command, saving you countless hours of work.
Find and replace entire blocks of information within a file. That includes how to refactor your code by renaming all variables in a file or set of files, reliably. Of course, you'll learn simple find and replace techniques to replace a word in an entire file and much more.
Cut, copy and paste. You'll find out how to make the most of Vim's built-in clipboard system, use Vim's clipboard history, and how to access your system's clipboard from within Vim.
Visually select blocks of text and perform edits on those blocks like moving the block, deleting the block, indenting/shifting the block, and more. You'll understand Vim's text objects so you can quickly select single or multiple words, lines, paragraphs, HTML/XML tags, code blocks, and more.
How to make vertical edits and use Vim's Visual Block Mode. (Some call this column editing mode or rectangle mode…)
Enable syntax highlighting for source code, configuration files, or any type of file you edit often. That includes how to customize the color scheme and color code text in Vim.
Employ simple to advanced navigation techniques so you can go exactly to where you need in a file very fast.
Practical application tips such as how to edit source code, scripts, HTML, and more. You'll find lots of opportunities for practice in this course.
Make the most of the built-in help system to quickly find what you need, all without leaving Vim.
Use MacVim and gVim on Linux and Windows. This includes learning the advantages and disadvantages of both the textual interface and the graphical interfaces to Vim.
Create, save, and replay macros to normalize data and quickly repeat complicated edits. You'll learn how to append or prepend text to every line in a text file, how to format one line of text and apply that formatting to a specified area in the file and more. In short, you'll learn how to automate everything in Vim.
Create custom shortcuts and personalized key mappings. If you want to create a shortcut for something you do often, you'll find out how to make your life a whole lot easier.
Indent and shift blocks of text. You'll also learn how to enable auto indentation so you can quickly clean up and prettify your source code.
And more...
When you start the course, you'll be able to use vim almost immediately. I want to make sure you get up and running as quickly as possible. That's why at the beginning of the course you'll learn how to start vim, how to make simple edits, and how to save your changes.
After that, we'll build on your knowledge and even get into some really advanced techniques such as editing multiple files at once, creating macros, making global substitutions in many files at the same time, ways to format and normalize data, how to "think in vim", and much more.
Having taught thousands of students over the years, I know people learn best by doing. That's why I've packed this course with tons of practice exercises. For each exercise you, get detailed, step-by-step instructions. I encourage you to try the labs on your own first. Then I walk through the exercise while you look over my shoulder.
Not only will you learn the concepts, you'll watch me demonstrate how to put those concepts to good use, and you'll practice those new skills immediately so that you really understand and retain what you're learning.
This course is ideal for anyone who works on the command line often. Whether you're a system administrator, a developer, a database administrator, or anyone else who has to edit files in a command line environment, this course is for you.
Even though this course does cover the graphical version of vim, it is NOT for people who are looking for "what you see is what you get" (WYSIWYG) word processing help.
No, this course is for people who want to get really efficient at editing plain text files, such as server configuration files, shell scripts, source code, and any other type of textual data.
So, if you're tired of being scared of vim, or just aren't making the progress you'd hope to by just dabbling in vim, it's time to take your vim skills to the next level by enrolling in this course.
Enroll Now!
Who this course is for:
- Anyone who needs to edit text files in a command line environment.
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