The Comprehensive ServiceNow Developer Course
Sunday, August 31, 2025
ServiceNow Scripting Masterclass: From Beginner to Developer
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Description
Are you ready to move beyond simple-clicks and configurations and truly unlock the automation potential of the ServiceNow platform? This comprehensive masterclass is designed to transform you from a beginner or administrator into a confident ServiceNow developer, capable of solving real-world business problems through powerful scripting.
ServiceNow is one of the fastest-growing enterprise software platforms in the world, and skilled developers command top salaries. This course is your practical, project-based guide to mastering the scripting skills that are the backbone of any custom ServiceNow application.
In this hands-on course, you will:
Master Core APIs: Gain deep, practical knowledge of GlideRecord, GlideSystem, GlideForm, and GlideAjax through real-use cases.
Automate Everything: Build Business Rules that auto-assign tickets, Client Scripts that create dynamic forms, and UI Actions that empower users.
Code Like a Pro: Learn industry best practices for writing efficient, secure, and reusable code in Script Includes.
Debug & Troubleshoot: Confidently find and fix errors using debugging tools and System Logs.
Build a Portfolio Project: Apply all your skills in a capstone project where you architect and script a custom application from scratch.
Why is this the right course for you?
Taught by a Senior Developer: Learn from an instructor with real-world experience building complex solutions on the ServiceNow platform.
Project-Based Learning: You won't just learn theory; you'll immediately apply every concept to practical, realistic automation challenges.
Lifetime Access: Get all future updates and new content included with your one-time purchase.
Who this course is for:
- Aspiring ServiceNow Developers: Take your first step into a high-demand, well-paid tech career by building practical scripting skills.
- ServiceNow Administrators: Elevate your skills beyond basic configuration to automate complex processes and solve advanced business needs.
- IT Professionals & Developers: Leverage your existing IT or coding knowledge to quickly become proficient in the ServiceNow platform.
- Students & Career Changers: Break into the cloud software industry with no prior ServiceNow experience through structured, hands-on learning.
- IT Team Leads & Managers: Understand the capabilities and best practices of ServiceNow development to better oversee projects and teams.
- Anyone preparing for the Certified Application Developer (CAD) exam: Gain the practical, hands-on scripting experience required to pass the certification.
The Absolute Beginners Guide to Cyber Security 2025 - Part 1
Learn Cyber Security concepts such as hacking, malware, firewalls, worms, phishing, encryption, biometrics, BYOD & more
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Description
** PART 1 OF THE CYBER SECURITY GUIDE FOR BEGINNERS SERIES **
** UPDATED MARCH 2025 WITH NEW LESSON ON ARTIFICIAL INTELLIGENCE **
Have you ever wondered exactly how hackers 'hack'? Do words like firewalls, encryption, bio-metrics and malware sound confusing to you? Have you been looking for a course that teaches you all the basics of both information and cyber security in a fun relaxed manner? If so then you are going to find this course absolutely perfect for you.
This is a course that is perfect as an introductory one for individuals and students who are interested in becoming cyber security or information security professionals. It is also ideal for students who just want to have a well rounded knowledge about the basic concepts used in the world of information security.
Over 40000 happy students have enrolled in this best seller course which has an average rating of 4.6 due to stellar reviews.
'An expert with great teaching style: provided clear explanations and concise definitions. Topics were reinforced and made tangible using graphics and real life (or movie) examples. The quizzes helped me retain and feel confident about the material.' - E. Wolfe
"Great intro to Cyber Security. I currently work in IT and I'm considering transitioning to InfoSec. This course was very informative and it has me motivated to continue exploring and learning more about the field of Cyber Security and InfoSec. I am even going to recommend this to my wife who works in IT management as it would be very useful in helping her understand the different concepts. The instructor is good. Speaks clearly and provides good examples." - Chris Loyola
PERFECT FOR COMPLETE BEGINNERS
This course is intended primarily for students who have little to no prior background or knowledge about the field of cyber security.
Course Curriculum
In the very first section, we will cover the basic terminologies used and discuss topics like the trinity of IT security and computer protocols.
In section 2, we will explore the world of hackers and the hacking methodology. We will take a look at the different types of hackers and how they actually hack.
Section 3 will introduce you to the various ways how cyber criminals and hackers attack systems and networks. You will learn about the most popular forms of attacks such as
Phishing
Brute Force Attack
DoS & DDoS Attacks
Bots and Botnets
and much more
We will then move on to cover everything about malware. You will learn the various forms of malware such as viruses, worms and trojans and how they differ from one another.
In section 4, you will learn about the methods employed by cyber security professionals to protect systems and networks from cyber attacks. You will learn how the following work
Antivirus
Firewalls
Encryption
Biometrics
Authentication Methods
and much more
Finally we will cover and discuss about other topics related to both information and cyber security such as the BYOD policy and cyber warfare.
By the end of this course, you would have gained a lot of knowledge and insights that can help to jump start your career as an information security professional.
What are you waiting for??? Enroll in this best selling course today.
Alex.
Who this course is for:
- Students who want to learn the basics of computer and cyber security
- Students who want to become IT or Cyber Security Experts
Amazon Elastic Container Service (ECS)| DevOps| Docker |2025
Saturday, August 30, 2025
DevOps HandsOn Job Prep Course - Master Amazon ECS with Docker, Networking, Service Connect, CI/CD, CodePipeline
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Description
Are you ready to master Amazon ECS (Elastic Container Service) and take your DevOps career to the next level? This course is a complete, hands-on guide to deploying, scaling, and managing containerized applications on Amazon Web Services AWS using Docker, ECS on EC2, and ECS Fargate.
You’ll start with the basics of Docker and containers, then dive deep into ECS clusters, tasks, services, networking modes, IAM roles, service discovery, and Service Connect. We’ll cover how to integrate ECS with Elastic Load Balancers (ALB/NLB), Amazon VPC networking, and AWS Systems Manager for secure operations.
The course also includes AWS CI/CD pipelines for ECS using CodePipeline, CodeBuild, Jenkins, and GitLab, so you can automate deployments just like real-world DevOps teams. You’ll learn monitoring with CloudWatch, logging with AWS Logs, and security best practices with IAM and Secrets Manager.
By the end of this course, you’ll be able to:
Build and run Docker images on ECS (EC2 & Fargate).
Design scalable container workloads with auto scaling and task placement strategies.
Implement DevOps workflows with CI/CD pipelines for ECS.
Manage ECS services with networking, discovery, and secure integrations.
Confidently use ECS in production environments as a DevOps engineer.
Whether you’re preparing for a DevOps engineer role, advancing your AWS cloud skills, or mastering container orchestration with ECS, this course is your ultimate step-by-step guide.
Who this course is for:
- For Beginners: Individuals with little to no experience in ECS or Docker practices. Fresh graduates or students looking to kickstart their careers in DevOps or software development.
- For Intermediate Users: Professionals who have some familiarity with ECS but want to deepen their understanding and skills. Developers or sysadmins who have worked with ECS in basic capacities but seek to expand their knowledge and capabilities.
- For Advanced Users: Experienced DevOps engineers, software architects, or team leads who want to refine their ECS skills and stay updated with the latest best practices.
- For Career Changers: Individuals transitioning from other IT roles (such as system administration, software development, or quality assurance) to DevOps or CI/CD-focused roles.
- Everyone can pick up this course, at their own pace.
CompTIA A+ Core 1 (220-1201) Full Course & Practice Exam
Pass the CompTIA A+ Core 1 (220-1201) exam with help from a top expert in the field!
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Description
The CompTIA A+ Core 1 (220-1201) certification course equips learners with the fundamental knowledge and practical skills needed to succeed in IT support roles. Covering essential IT concepts, this course provides hands-on experience in installing, configuring, and troubleshooting hardware and software across a variety of devices and platforms. Whether you're starting your IT career or looking to validate your skills, this course offers a comprehensive pathway to certification.
Domain Discussion
This course is structured around key domains that align with the CompTIA A+ Core 1 (220-1201) exam objectives. Each domain contributes to the overall exam content by percentage:
Mobile Devices (13%)
Learn how to install and configure mobile devices, including laptops, smartphones, and tablets. Understand connectivity options, accessories, and troubleshooting techniques to ensure optimal performance in a dynamic IT environment.
Networking (23%)
Develop a solid understanding of networking fundamentals, including protocols, network hardware, and connectivity solutions. Explore different network types and configurations, troubleshooting strategies, and security considerations to support business operations.
Hardware (25%)
Master the components and functions of computer hardware, from storage solutions to peripherals. Gain hands-on experience in assembling and maintaining systems to meet user and business requirements.
Virtualization and Cloud Computing (11%)
Explore the principles of virtualization and cloud-based environments. Learn how virtualization enhances IT operations, and understand cloud service models, deployment types, and security best practices.
Hardware and Network Troubleshooting (28%)
Acquire practical skills to diagnose and resolve common hardware and network issues. Learn systematic troubleshooting approaches to address technical challenges efficiently and provide excellent end-user support.
Course Features
This course offers a comprehensive learning experience that includes a structured study guide covering all exam objectives, quizzes to reinforce key concepts, and a full-length practice exam designed to simulate real-world testing conditions. Each feature is designed to ensure learners are fully equipped with the knowledge and confidence needed to pass the certification exam and excel in their IT careers.
Enroll now and start your journey to becoming a certified IT professional!
Take the next step in your IT career with our CompTIA A+ Core 1 (220-1201) certification course. Gain the skills and confidence you need to pass the exam and succeed in the IT industry.
What Other Students Are Saying About Our Courses:
Amazing course. I am a non native English speaker and it is easy to understand and follow. Comments and examples are relevant and well illustrated. (Jordane, 5 stars)
This has been very helpful, particularly the use of metaphor in explaining the concepts. The way the information is all presented is also structured well. Thank you. (Dale P., 5 stars)
It goes through the basics and simple parts and is presented in a simple way that is understandable to anybody who is new to this field. Thank you for this wonderful course. (Chinnus L., 5 stars)
Upon completion of this course, you will earn 27 CEUs towards the renewal of your CompTIA Tech+, A+, Network+, Security+, Linux+, Cloud+, PenTest+, CySA+, or CASP+ certifications.
Who this course is for:
- Aspiring IT professionals entering the field
- Help desk technicians seeking certification
- Desktop support specialists
- IT support specialists and analysts
- Network technicians and junior administrators
- Career changers looking to enter the IT industry
- Students and recent graduates pursuing IT careers
Node.js- Beginner to Advance course with projects
Friday, August 29, 2025
Learn from scratch to advance concepts like ORM, SQL, NoSQL, postman testing, Express, mongoDB Aggregation, Deployment.
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Description
The Complete Backend Development Bootcamp with Node.js and Modern Tooling
Master backend development with Node.js by building real-world applications using PostgreSQL, Drizzle ORM, MongoDB, JWT, Docker, and more. This course takes you from JavaScript fundamentals to deploying production-grade applications, step-by-step.
Whether you’re just getting started or want to level up your backend skills, this course is designed to give you a solid foundation and deep understanding of modern backend development practices.
Start with Strong JavaScript Fundamentals
Before diving into Node.js, we revisit core JavaScript concepts that are essential for any backend developer. From variable scope, functions, closures, to async/await and event-driven programming, this foundation ensures you don’t just write code - you understand it.
Understand Architecture and Structure
Learn how scalable applications are built using the Model-View-Controller (MVC) pattern. You’ll understand how to organize your code for clarity, reusability, and long-term maintainability.
Build Data-Driven Applications
The course dives deep into database systems:
Learn the difference between SQL and NoSQL
Use PostgreSQL with Docker for isolated development environments
Integrate Drizzle ORM, a modern type-safe ORM built for efficiency and clarity
Create real relationships, apply indexes for faster queries, and learn how to structure a schema for real-world needs
Master Authentication and Authorization
Security is non-negotiable in production systems. You will:
Build session-based and stateless (JWT) authentication systems
Create role-based access controls
Use Express middlewares to modularize and protect routes
Understand the practical differences between authentication and authorization
Dynamic Frontend with Templating Engines
Integrate EJS to render dynamic HTML from the backend. Understand how templating engines work and where they fit in full-stack applications.
Explore NoSQL with MongoDB
Learn the strengths of NoSQL systems by integrating MongoDB and Mongoose. You’ll build full CRUD applications and explore the aggregation pipeline, a powerful tool for advanced data processing and reporting.
Production Readiness and Deployment
Understand the fundamentals of system design, including:
Reverse proxy vs forward proxy
Vertical vs horizontal scaling
Deployment strategies like blue-green and rolling updates
Finally, learn how to Dockerize your Node.js applications and deploy them using AWS ECR, giving you real-world deployment experience.
Why Take This Course?
Covers both SQL and NoSQL databases
Real-world authentication and authorization flows
Learn modern tools like Drizzle ORM, Docker, and Postman
Includes structured learning for system design and deployment
Helps you build scalable, maintainable, and secure applications
By the end of this course, you’ll have the confidence and skillset to build backend systems that are secure, scalable, and ready for real-world use.
Enroll now and transform your Node.js knowledge into professional backend development expertise.
Who this course is for:
- Beginners who want to become backend developers
- Frontend developers looking to master backend fundamentals
- Developers preparing for technical interviews involving backend or database
- Anyone curious about Node.js, Express, and how modern web backends work
Deep Learning Prerequisites: The Numpy Stack in Python (V2+)
Deep Learning Prerequisites: The Numpy Stack in Python (V2+) - The Numpy, Scipy, Pandas, and Matplotlib stack: prep for deep learning, machine learning, and artificial intelligence
- Bestseller
- Created by Lazy Programmer Inc.
- English [Auto]
Description
Welcome! This is Deep Learning, Machine Learning, and Data Science Prerequisites: The Numpy Stack in Python.
One question or concern I get a lot is that people want to learn deep learning and data science, so they take these courses, but they get left behind because they don’t know enough about the Numpy stack in order to turn those concepts into code.
Even if I write the code in full, if you don’t know Numpy, then it’s still very hard to read.
This course is designed to remove that obstacle - to show you how to do things in the Numpy stack that are frequently needed in deep learning and data science.
So what are those things?
Numpy. This forms the basis for everything else. The central object in Numpy is the Numpy array, on which you can do various operations.
The key is that a Numpy array isn’t just a regular array you’d see in a language like Java or C++, but instead is like a mathematical object like a vector or a matrix.
That means you can do vector and matrix operations like addition, subtraction, and multiplication.
The most important aspect of Numpy arrays is that they are optimized for speed. So we’re going to do a demo where I prove to you that using a Numpy vectorized operation is faster than using a Python list.
Then we’ll look at some more complicated matrix operations, like products, inverses, determinants, and solving linear systems.
Pandas. Pandas is great because it does a lot of things under the hood, which makes your life easier because you then don’t need to code those things manually.
Pandas makes working with datasets a lot like R, if you’re familiar with R.
The central object in R and Pandas is the DataFrame.
We’ll look at how much easier it is to load a dataset using Pandas vs. trying to do it manually.
Then we’ll look at some dataframe operations, like filtering by column, filtering by row, the apply function, and joins, which look a lot like SQL joins.
So if you have an SQL background and you like working with tables then Pandas will be a great next thing to learn about.
Since Pandas teaches us how to load data, the next step will be looking at the data. For that we will use Matplotlib.
In this section we’ll go over some common plots, namely the line chart, scatter plot, and histogram.
We’ll also look at how to show images using Matplotlib.
99% of the time, you’ll be using some form of the above plots.
Scipy.
I like to think of Scipy as an addon library to Numpy.
Whereas Numpy provides basic building blocks, like vectors, matrices, and operations on them, Scipy uses those general building blocks to do specific things.
For example, Scipy can do many common statistics calculations, including getting the PDF value, the CDF value, sampling from a distribution, and statistical testing.
It has signal processing tools so it can do things like convolution and the Fourier transform.
In sum:
If you’ve taken a deep learning or machine learning course, and you understand the theory, and you can see the code, but you can’t make the connection between how to turn those algorithms into actual running code, this course is for you.
"If you can't implement it, you don't understand it"
Or as the great physicist Richard Feynman said: "What I cannot create, I do not understand".
My courses are the ONLY courses where you will learn how to implement machine learning algorithms from scratch
Other courses will teach you how to plug in your data into a library, but do you really need help with 3 lines of code?
After doing the same thing with 10 datasets, you realize you didn't learn 10 things. You learned 1 thing, and just repeated the same 3 lines of code 10 times...
Suggested Prerequisites:
matrix arithmetic
probability
Python coding: if/else, loops, lists, dicts, sets
you should already know "why" things like a dot product, matrix inversion, and Gaussian probability distributions are useful and what they can be used for
WHAT ORDER SHOULD I TAKE YOUR COURSES IN?:
Check out the lecture "Machine Learning and AI Prerequisite Roadmap" (available in the FAQ of any of my courses)
Who this course is for:
Students and professionals with little Numpy experience who plan to learn deep learning and machine learning later
Students and professionals who have tried machine learning and data science but are having trouble putting the ideas down in code
React Native: Mobile App Development (CLI)
Thursday, August 28, 2025
(All Levels) - Build iOS and Android Apps: Master Hooks, Redux Toolkit, Navigation, Authentication, Payment & App Stores
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Description
Unlock the power of React Native and build impressive iOS and Android apps with this comprehensive course. Whether you're a beginner or an experienced developer, this course is designed to equip you with the skills and knowledge needed to create robust mobile applications using React Native.
In the "Getting Started" section, you'll dive into the fundamentals, exploring React Native's core concepts, understanding the difference between React Native CLI and Expo, and setting up your local development environment for both iOS and Android. You'll also get acquainted with important tools like code editors, ESLint, and Prettier.
Once you have a solid foundation, you'll move on to the essentials of React and React Native. Learn about components, stylesheets, props, event handling, and how to create basic UI elements such as buttons, text inputs, and icons. Take a deep dive into React Hooks and gain a solid understanding of useState, useEffect, useRef, useContext, and creating custom hooks.
To create visually appealing and responsive interfaces, the course covers styling techniques with borders, margins, paddings, and flexbox. You'll also explore advanced topics such as debugging, data management with Redux Toolkit, user authentication, building APIs with NodeJS and Express, integrating payment systems using Stripe, and deploying your applications to app stores.
With hands-on assignments and a practical project, you'll gain real-world experience as you apply your newfound knowledge. Whether you're looking to enhance your skills for career advancement or create your own mobile app, this course is the ultimate resource for mastering React Native in 2024.
Enroll now and join the learners who have already transformed their mobile app development skills with this comprehensive React Native course. Take the next step in your coding journey and unleash the potential of React Native today.
Who this course is for:
- Beginner and intermediate developers eager to learn React Native for cross-platform app development.
- Mobile app developers looking to expand their skills to include React Native for iOS and Android.
- Web developers with experience in ReactJS wanting to build mobile apps using their existing knowledge.
- Individuals seeking to enhance their resume with hands-on experience in React Native app development.
- Tech enthusiasts interested in exploring the latest trends in mobile app development.
- Professionals looking to create high-quality mobile apps with key features like navigation and user authentication.
- Students or self-learners interested in gaining a comprehensive understanding of React Native and its advanced concepts.
- Developers aiming to deploy their React Native apps to app stores for wider distribution and user access.
The Complete React Native + Hooks Course
Free Coupon Discount - Understand React Native with Hooks, Context, and React Navigation. | Created by Stephen Grider
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Preview this Udemy Course GET COUPON CODE
Description
If you're tired of spinning your wheels learning Swift or Android, this is the course for you.
Authentication? You will learn it. Hooks? Included. Navigation? Of course!
This course will get you up and running with React Native quickly, and teach you the core knowledge you need to deeply understand and build React components for mobile devices.
Both OSX and Windows supported - develop iOS or Android!
We'll start by mastering the fundamentals of React, including JSX, “props", “state", and event handling. Source code is provided for each lecture, so you will always stay up-to-date with the course pacing. Special attention has been paid to creating reusable components that you'll be able to make use of on your own fantastic projects.
React Native is an excellent solution for developing apps on mobile in a fraction of the time it takes to make an equivalent iOS or Swift app. You'll love seeing your changes instantly appear on your own device, rather than waiting for Swift/Java code to recompile! This quick feedback loop, along with excellent cross platform support, is what has catapulted React Native to the top must-have skill for Javascript engineers.
If you are new to React, or if you've been working to learn it but sometimes feel like you still don't quite 'get it', this is the React course for you! To learn React you have to understand it.
Learn how to use React's custom markup language, JSX, to clean up your Javascript code
Master the process of breaking down a complex component into many smaller, interchangeable components
Grasp the difference between “props" and “state" and when to use each
Render interactive, media-rich components in beautifully styled apps
Develop apps that are unique, fun, and responsive
Build on both Android and iOS platforms
Master integration with Firebase for user authentication
Learn the core principles of navigation with React Native
I've built the course that I would have wanted to take when I was learning React Native. A course that explains the concepts and how they're implemented in the best order for you to learn and deeply understand them.
Who this course is for:
This course is for anyone looking to make native apps with React Native
100% Off Udemy Coupon . Free Udemy Courses . Online Classes
Modern React From The Beginning
Wednesday, August 27, 2025
Learn React from the ground up along with modern environments such as React Router v7, TanStack, MERN, etc
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Description
Unlock the full potential of React in 2025 with this comprehensive, beginner-friendly course that goes beyond the basics. Whether you're brand new to React or want to deepen your understanding of its modern features, this course will give you the practical skills you need to build real-world applications using today’s best practices.
You'll start by learning React fundamentals in a highly structured, easy-to-digest format. We will be building projects as you learn.
Here are some of the concepts you will learn:
The fundamentals: JSX, components, props, state, and events
The entire lifecycle of a React component
All the core React hooks – useState, useEffect, useRef, useContext and more
Best practices for functional components in modern React
Conditional rendering patterns (ternary vs &&)
Organizing files, reusable components, and clean architecture
Advanced routing with React Router v7 including declarative and framework mode with SSR
Data fetching and caching with TanStack Query
Real-world debugging using React DevTools, network tab, and logging
Secure authentication with access & refresh tokens using HTTP-only cookies
Full stack MERN development
Deployment using Vercel (frontend) and Render (backend)
Premium Docs:
You will have access to the premium docs, which is basically the entire course in text/Markdown format.
Projects:
This course has a bunch of small to medium-sized projects to build for your portfolio:
- Rating/Feedback UI - Simple star rating UI to learn the basics with. Events, props, state, etc
- Notes App - Create and delete notes from local storage. Learn about forms and state.
- Lifecycle Playground - Sandbox to learn about component lifecycle and the useEffect hook
- Simple Timer - Learn about the useRef hook and persisting data across page reloads.
- GitHub Finder - Use TanStack Query to get and send data to and from the Github API
- Crypto Dash - Use the CoinGecko API to create a dashboard for getting prices and other info from Crypto coins.
- IdeaDrop - Full stack MERN app with TanStack Router on the frontend.
- The Friendly Dev - Portfolio website and blog built with React Router v7 and Strapi headless CMS.
Who this course is for:
- Anyone that wants to learn React or learn how to use modern React environments such as TanStack & React Router
Next.js 15 & React - The Complete Guide
Learn NextJS 15 from the ground up and build fullstack ReactJS + NextJS apps with the App Router or Pages Router!
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Description
Update October 2024:
Updated content to reflect latest version of Next.js (15).
Update March/April 2024:
Completely updated the entire course to cover the latest version of Next.js!
This course teaches you the latest version of Next.js and covers both the "App Router" and "Pages Router" (and explains what these two approaches are).
Join this bestselling NextJS course and learn how to build highly dynamic, super fast and SEO-ready React apps with React & NextJS!
This course covers both the NextJS "App Router" & the "Pages Router" - two different approaches for building fullstack apps with React! And, of course, you'll learn what these two approaches are, why two different approaches exist and how each approach works!
I created the bestselling Udemy course on React, now I'm super excited to share this NextJS with you - an in-depth course about an amazing React framework that allows you to take the next step as a React developer and build real, production-ready projects with React and Next.js!
Next.js is the production-ready, fullstack-capable framework for ReactJS - the most popular JavaScript library you can learn these days!
Too many buzzwords for your taste?
Fair enough - but indeed, NextJS is a great choice for growing as a React developer and for taking your React apps to the next level!
Because NextJS is growing fast and therefore in high demand. And there are good reasons for that: NextJS allows you to build React apps with built-in server-side rendering and page pre-rendering. Building great user experiences and search engine friendly (SEO!) React apps has never been easier!
In addition, NextJS makes building fullstack React apps (frontend + backend code combined in one project) extremely easy as well! Blend client-side and server-side code and build a NodeJS-based API side-by-side with your frontend React apps. It's a breeze with NextJS!
Want to add authentication? NextJS simplifies that as well and makes user signup, sign in and session management very convenient.
This course will take you from NextJS beginner to advanced level in no time!
We'll start at the very basics, no NextJS knowledge is required at all, and we'll then dive into all the core features that make up NextJS. Both in theory as well as with multiple real projects where all concepts will be applied step-by-step.
For this course, you'll need basic React knowledge, though the course does come with a "React refresher" module in case it's been some time since you last worked with React.
This course also includes a "NextJS Summary" module for the Pages router and a "NextJS Essentials" module for the App router - which allow you to always come back to the course in the future and refresh your knowledge without going through the full course again. Or you just take those summary modules (and skip the rest for now) to learn about all the core features in as little time as possible.
After finishing this course, you'll be well prepared to build your own NextJS projects from the ground up and apply for NextJS positions!
In detail, this course will cover:
What is NextJS? And why would you use it?
Why is just React (in many cases) not enough?
Creating NextJS projects from the ground up & understanding these projects
Working with file-based routing
Adding dynamic routes and catch-all routes
Implementing different forms of page pre-rendering and server-side rendering
Working with data and adding data fetching + pre-fetching to your apps
Handling form submissions with Server Actions
Handling File upload
Pre-generating dynamic and static pages
Adding optimizations like metadata to pages
Optimizing images with the NextJS Image component
Building fullstack apps with API routes or Server Actions
Managing app-wide state with React context (in NextJS apps)
Adding authentication to NextJS apps
Multiple complete apps where we'll apply all these core concepts!
A complete React.js refresher module (so that we're all on the same page)
A NextJS summary module so that you can refresh what you learned or just explore the core features quickly
And much more!
I can't wait to start this journey together with you! :)
Who this course is for:
- React developers who want to take the next step and build production-ready React apps
- React developers who aim to build fullstack React apps
- Web developers in general, who want to work with one of the most popular and in-demand tech stacks
13+ Power BI Portfolio Projects with DAX & SQL (2025)
Master data integration, cleaning, modeling and visualization with 10+ sources, including on-prem and cloud platforms.
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Description
This comprehensive course is designed to help you start your career as a Data Analyst or Power BI Developer. You will gain essential skills in data integration, cleaning, modeling, and visualization. Learn to work with a broad range of data sources, both on-premises and in the cloud, including Snowflake, SQL Server, MySQL, Azure SQL Database, Google BigQuery, Amazon Athena, SharePoint, OneDrive, Dataflows, and flat files. The course covers key concepts in importing, transforming, and integrating data from these diverse systems.
With hands-on projects, you’ll master Power BI, learning to create interactive reports, dashboards, and visualizations that clearly communicate insights. Additionally, you’ll gain expertise in implementing row-level security to protect sensitive information and setting up automated report refreshes. You'll also learn best practices for maintaining data security and ensuring compliance with privacy standards.
By the end of the course, you will have developed a strong understanding of data analysis techniques, along with a solid portfolio of real-world projects to showcase. Whether you're just starting out or looking to enhance your existing skills, this course provides the tools and knowledge to succeed as a Data Analyst or Power BI Developer. It's the ideal foundation for anyone aiming to start a career in the data industry.
Who this course is for:
- For anyone looking to transition into the data industry as a Data Analyst or Power BI Developer, this course is the perfect one-stop solution. It covers all essential skills to help you land a Power BI Developer job. By the end of the course, you'll have hands-on experience with real-world projects, which you can confidently showcase on your CV to demonstrate your expertise to potential employers. This course provides everything you need to succeed in the data industry!
Data Analytics Career Path: 72 Days of Data Analyst Bootcamp
Learn Excel, MySQL, Python, PowerBI, ChatGPT for A-Z Data Analysis. Become a Full-Packed Data Analyst. [5 Courses in 1]
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Description
Are you eager to embark on a rewarding journey into the world of data analytics? Welcome to the Data Analytics Career Track, where you'll gain a comprehensive skill set and invaluable knowledge to thrive as a data analyst.
Course Overview: Embark on a transformative 72-day journey into the world of data analytics, where you'll learn the essential skills and tools to become a successful data analyst. This comprehensive course is designed to take you from a beginner to a proficient data analyst, equipping you with the knowledge and practical experience needed to excel in the field.
Key Objectives:
Proficiency in Essential Tools: The course curriculum is structured to cover three core pillars of data analysis: Excel, SQL, and Python. You'll start by mastering Excel, the industry-standard spreadsheet software, learning how to manipulate data, perform calculations, and create visualizations to communicate insights effectively.
Hands-on Experience: Engage in practical data analysis projects and coding exercises, honing your problem-solving skills through immersive learning experiences. With a focus on hands-on learning, you'll work on real-world projects and case studies, applying your newfound skills to solve practical challenges faced by data analysts in various industries.
Foundational Knowledge: Gain insights into data analysis theories, statistical methods, hypothesis testing, and machine learning fundamentals, laying a solid groundwork for your career. Learn A-Z data cleaning and manipulation techniques, including sorting, filtering, conditional formatting, and advanced analysis with pivot tables and charts. Acquire a deep understanding of relational database management systems (RDBMS), covering key concepts such as primary keys, foreign keys, and SQL manipulation.
Excel Proficiency: You'll start by mastering Excel, the industry-standard spreadsheet software, learning how to manipulate data, perform calculations, and create visualizations to communicate insights effectively.
SQL Proficiency: You'll dive into SQL, the language of databases, gaining proficiency in querying and manipulating data stored in relational databases. You'll learn how to extract relevant information using SQL commands, perform data joins and aggregations, and optimize queries for efficiency.
Python Proficiency: you'll explore Python, a powerful programming language widely used for data analysis and visualization. You'll discover how to leverage Python libraries such as Pandas, NumPy, and Matplotlib to conduct advanced data analysis, automate tasks, and create interactive visualizations.
ChatGPT Proficiency: you'll use ChatGPT for data preparation, including dealing with missing data, outliers, and converting data types, complex data manipulation tasks, such as merging datasets, creating pivot tables, executing sophisticated data analysis, identifying trends, patterns, and making predictions using advanced machine learning models like the random forest regressor.
Power BI Proficiency: You'll become proficient in Power BI, a leading business analytics tool that allows you to connect to various data sources, transform raw data into meaningful insights, and create interactive dashboards and reports. You'll learn how to utilize Power Query for data cleaning and transformation, design visually appealing and informative charts and dashboard.
Practical Assignments: Challenge yourself with over 50 practical assignments, 140 coding exercises, and 10 quizzes spanning the breadth of the course curriculum.
Capstone Projects: Apply your newfound skills to real-world scenarios with two comprehensive capstone projects focused on bank data analysis and sports data analysis, providing a holistic view of the data analytics workflow.
Benefits of the Course:
Career Readiness: Prepare for a successful career as a data analyst with essential professional skills and practical knowledge.
Versatility: Gain proficiency in multiple tools and techniques, making you adaptable to diverse data analysis scenarios and industry demands.
Problem-solving Skills: Enhance your analytical and critical thinking abilities through hands-on data analysis exercises and coding challenges.
Industry-Relevant Learning: Stay ahead of the curve with up-to-date insights into data analysis methodologies and best practices.
Portfolio Enhancement: Build a robust portfolio showcasing your expertise through practical projects and assignments, demonstrating your readiness for the job market.
Join us on the Data Analytics Career Track and unlock endless possibilities in the world of data analysis. Whether you're looking to kickstart a career in data analytics or enhance your existing skills, this course will empower you to succeed in the dynamic world of data. Join us on this exciting journey and unlock your potential as a data analyst in just 60 days!
Who this course is for:
- Those who are interested in entering the field of data analytics and want to learn the complete tools and techniques used in the industry.
- Those who are highly interested in learning complete data analytics using Excel, SQL, Power BI, Python and ChatGPT.
- This course is NOT for those who are interested to learn data science or advanced machine learning application.
AI Powered Data Analytics Mastery - AI Tools & Vibe Coding
Monday, August 25, 2025
Learn Data Analysis with AI Tools, Vibe Coding, SQL, Python, & Power BI
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Description
Embark on a transformative journey into data analytics with this comprehensive Udemy course, designed to empower beginners and seasoned professionals alike. "AI-Powered Data Analytics Mastery" combines cutting-edge Generative AI tools, vibe coding, and industry-standard platforms to equip you with the skills to analyze, visualize, and interpret data effectively. Learn to harness AI tools like ChatGPT, Claude, Perplexity, Grok, and n8n, alongside SQL, Python, Power BI, and Microsoft Fabric, through hands-on projects and real-world case studies. From data cleaning to predictive analytics, this course covers it all, ensuring you can create impactful dashboards and derive actionable insights.
What You’ll Learn
Data Analytics Fundamentals: Understand the data analysis process, storytelling, and its critical role in business decision-making.
Generative AI Integration: Master AI tools like ChatGPT, Claude, Perplexity, and Grok for data processing, prompt engineering, and automation.
Vibe Coding & Programming: Dive into Python, SQL, and vibe coding for practical data manipulation and analysis.
Data Visualization: Create stunning dashboards and charts using Power BI, guided by AI-driven insights.
Predictive Analytics: Explore machine learning techniques like K-Nearest Neighbors, Decision Trees, and Random Forests.
No-Code Solutions: Leverage n8n and other no-code platforms for efficient data workflows and automation.
Advanced Techniques: Learn advanced prompt engineering, SQL joins, window functions, and DAX for robust analytics.
Course Highlights
Hands-On Projects: Build real-world projects, including inventory management and student engagement dashboards, using AI tools and Power BI.
Case Studies: Apply AI tools like Grok, ChatGPT, and Perplexity to practical scenarios, such as data transformation and KPI selection.
Comprehensive Toolset: Gain proficiency in SQL Server, MySQL, Python (via Anaconda), Power BI, and Microsoft Fabric.
Interview Preparation: Tackle SQL and Python interview questions with confidence, supported by AI-driven insights.
No-Code Innovation: Explore no-code data analysis with n8n, Julius, and Eraser for streamlined workflows.
Who This Course Is For
Aspiring data analysts seeking to break into the field with AI-enhanced skills.
Professionals looking to integrate Generative AI into their data analytics workflows.
Business analysts aiming to create compelling visualizations and dashboards.
Developers interested in vibe coding and no-code solutions for data analysis.
Anyone passionate about leveraging AI for predictive analytics and data-driven decisions.
Why Enroll?
This course bridges traditional data analytics with the power of Generative AI, offering a unique blend of technical skills and innovative tools. With over 200 lectures, quizzes, and practical projects, you’ll gain hands-on experience and the confidence to tackle complex data challenges. Whether you’re cleaning datasets with Perplexity, building dashboards with Power BI, or automating workflows with n8n, this course prepares you to excel in the evolving world of AI-driven data analytics.
Prerequisites
Basic computer literacy and familiarity with spreadsheets (e.g., Excel).
No prior coding or AI experience required—suitable for beginners!
A willingness to learn and experiment with AI tools and data platforms.
Join now to master data analytics with the power of AI and vibe coding, and take your career to the next level!
Who this course is for:
- Aspiring data analysts eager to break into the field with AI-enhanced skills.
- Professionals seeking to integrate Generative AI tools like ChatGPT, Claude, Perplexity, and Grok into data analytics workflows.
- Business analysts aiming to create compelling visualizations and dashboards using Power BI.
- Developers interested in vibe coding and no-code solutions like n8n for efficient data analysis.
- Anyone passionate about mastering predictive analytics and AI-driven data insights.
AWS Certified Machine Learning Specialty 2025 - Hands On!
AWS Certified Machine Learning Specialty 2025 - Hands On!,AWS machine learning certification preparation - learn SageMaker, generative AI, data engineering, modeling & more
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What you'll learn
- What to expect on the AWS Certified Machine Learning Specialty exam
- Amazon SageMaker's built-in machine learning algorithms (XGBoost, BlazingText, Object Detection, etc.)
- Feature engineering techniques, including imputation, outliers, binning, and normalization
- High-level ML services: Comprehend, Translate, Polly, Transcribe, Lex, Rekognition, and more
- Data engineering with S3, Glue, Kinesis, and DynamoDB
- Exploratory data analysis with scikit_learn, Athena, Apache Spark, and EMR
- Deep learning and hyperparameter tuning of deep neural networks
- Automatic model tuning and operations with SageMaker
- L1 and L2 regularization
- Applying security best practices to machine learning pipelines
Description
Updated for the latest SageMaker features, Generative AI (GPT), and new AWS ML Services. Happy learning!
Nervous about passing the AWS Certified Machine Learning - Specialty exam (MLS-C01)? You should be! There's no doubt it's one of the most difficult and coveted AWS certifications. A deep knowledge of AWS and SageMaker isn't enough to pass this one - you also need deep knowledge of machine learning, and the nuances of feature engineering and model tuning that generally aren't taught in books or classrooms. You just can't prepare enough for this one.
This certification prep course is taught by Frank Kane, who spent nine years working at Amazon itself in the field of machine learning. Frank took and passed this exam on the first try, and knows exactly what it takes for you to pass it yourself. Joining Frank in this course is Stephane Maarek, an AWS expert and popular AWS certification instructor on Udemy.
In addition to the 11-hour video course, a 30-minute quick assessment practice exam is included that consists of the same topics and style as the real exam. You'll also get four hands-on labs that allow you to practice what you've learned, and gain valuable experience in model tuning, feature engineering, and data engineering.
This course is structured into the four domains tested by this exam: data engineering, exploratory data analysis, modeling, and machine learning implementation and operations. Just some of the topics we'll cover include:
How generative AI and large language models (LLM's) work, including the Transformer architecture (GPT) and attention-based neural networks (masked self-attention)
Amazon's newest generative AI services: Bedrock, SageMaker JumpStart for Generative AI, CodeWhisperer, and SageMaker Foundation Models
S3 data lakes
AWS Glue and Glue ETL
Kinesis data streams, firehose, and video streams
DynamoDB
Data Pipelines, AWS Batch, and Step Functions
Using scikit_learn
Data science basics
Athena and Quicksight
Elastic MapReduce (EMR)
Apache Spark and MLLib
Feature engineering (imputation, outliers, binning, transforms, encoding, and normalization)
Ground Truth
Deep Learning basics
Tuning neural networks and avoiding overfitting
Amazon SageMaker, including SageMaker Studio, SageMaker Model Monitor, SageMaker Autopilot, and SageMaker Debugger.
Regularization techniques
Evaluating machine learning models (precision, recall, F1, confusion matrix, etc.)
High-level ML services: Comprehend, Translate, Polly, Transcribe, Lex, Rekognition, and more
Building recommender systems with Amazon Personalize
Monitoring industrial equipment with Lookout and Monitron
Security best practices with machine learning on AWS
Machine learning is an advanced certification, and it's best tackled by students who have already obtained associate-level certification in AWS and have some real-world industry experience. This exam is not intended for AWS beginners.
If there's a more comprehensive prep course for the AWS Certified Machine Learning - Specialty exam, we haven't seen it. Enroll now, and gain confidence as you walk into that testing center.
Instructor
My name is Stéphane Maarek, I am passionate about Cloud Computing, and I will be your instructor in this course. I teach about AWS certifications, focusing on helping my students improve their professional proficiencies in AWS.
I have already taught 1,500,000+ students and gotten 500,000+ reviews throughout my career in designing and delivering these certifications and courses!
With AWS becoming the centerpiece of today's modern IT architectures, I have decided it is time for students to learn how to be an AWS Machine Learning Professional. So, let’s kick start the course! You are in good hands!
Instructor
Hey, I'm Frank Kane, and I'm also instructing this course. I spent nine years working for Amazon from the inside as a senior engineer and senior manager, where my specialty was recommender systems and machine learning. As an instructor, I'm best known for my top-selling courses in "big data", data analytics, machine learning, Apache Spark, system design, technical management and career growth, and Elasticsearch.
I've been teaching on Udemy since 2015, where I've reached over 700,00 students all around the world!
I've worked hard to keep this course up to date with the latest developments in AWS machine learning, and to make sure you're prepared for the latest version of this exam. Let's dive in and get you ready!
This course also comes with:
Lifetime access to all future updates
A responsive instructor in the Q&A Section
Udemy Certificate of Completion Ready for Download
A 30 Day "No Questions Asked" Money Back Guarantee!
Join us in this course if you want to prepare for the AWS Machine Learning Certification and master the AWS platform!
Who this course is for:
Individuals performing a development or data science role seeking certification in machine learning and AWS.
Computer Vision in Python for Beginners (Theory & Projects)
Computer Vision-Become an ace of Computer Vision, Computer Vision for Apps using Python, OpenCV, TensorFlow, etc.
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Description
Computer vision (CV), a subfield of computer science, focuses on replicating the complex functionalities of the human visual system. In the CV process, real-world images and videos are captured, processed, and analyzed to allow machines to extract contextual, useful information from the physical world.
Until recently, computer vision functioned in a limited capacity. But due to the recent innovations in artificial intelligence and deep learning, this field has made great leaps. Today, CV surpasses humans in most routine tasks connected with detecting and labeling objects.
The high-quality content of the Mastering Computer Vision from the Absolute Beginning Using Python course presents you with a great opportunity to learn and become an expert. You will learn the core concepts of the CV field. This course will also help you to understand the digital imaging process and identify the key application areas of CV. The course is:
· Easy to understand.
· Descriptive.
· Comprehensive.
· Practical with live coding.
· Rich with state of the art and updated knowledge of this field.
Although this course is a compilation of all the basic concepts of CV, you are encouraged to step up and experience more than what you learn. Your understanding of every concept is tested at the end of each section. The Homework assignments/tasks/activities/quizzes along with solutions will assess your learning. Several of these activities are focused on coding so that you are ready to run with implementations.
The two hands-on projects in the last section—Change Detection in CCTV Cameras (Real-time) and Smart DVRs (Real-time)—make up the most important learning element of this course. They will help you sharpen your practical skills. Successful completion of these two projects will help you enrich your portfolio and kick-start your career in the CV field.
The course tutorials are divided into 320+ videos along with detailed code notebooks. The videos are available in HD, and the total runtime of the videos is 27 hours+.
Now is the perfect time to learn computer vision. Get started with this best-in-class course without any further delay!
Teaching is our passion:
In this course, we apply the proven learning by doing methodology. We build the interest of learners first. We start from the basics and focus on helping you understand each concept clearly. The explanation of each theoretical concept is followed by practical implementation. We then encourage you to create something new out of your learning.
Our aim is to help you master the basic concepts of CV before moving onward to advanced concepts. The course material includes online videos, course notes, hands-on exercises, project work, quizzes, and handouts. We also offer you learning support. You can approach our team in case of any queries, and we respond in quick time.
Course Content:
The comprehensive course consists of the following topics:
1. Introduction
a. Intro
i. What is computer vision?
2. Image Transformations
a. Introduction to images
i. Image data structure
ii. Color images
iii. Grayscale images
iv. Color spaces
v. Color space transformations in OpenCV
vi. Image segmentation using Color space transformations
b. 2D geometric transformations
i. Scaling
ii. Rotation
iii. Shear
iv. Reflection
v. Translation
vi. Affine transformation
vii. Projective geometry
viii. Affine transformation as a matrix
ix. Application of SVD (Optional)
x. Projective transformation (Homography)
c. Geometric transformation estimation
i. Estimating affine transformation
ii. Estimating Homography
iii. Direct linear transform (DLT)
iv. Building panoramas with manual key-point selection
3. Image Filtering and Morphology
a. Image Filtering
i. Low pass filter
ii. High pass filter
iii. Band pass filter
iv. Image smoothing
v. Image sharpening
vi. Image gradients
vii. Gaussian filter
viii. Derivative of Gaussians
b. Morphology
i. Image Binarization
ii. Image Dilation
iii. Image Erosion
iv. Image Thinning and skeletonization
v. Image Opening and closing
4. Shape Detection
a. Edge Detection
i. Definition of edge
ii. Naïve edge detector
iii. Canny edge detector
1. Efficient gradient computations
2. Non-maxima suppression using gradient directions
3. Multilevel thresholding- hysteresis thresholding
b. Geometric Shape detection
i. RANSAC
ii. Line detection through RANSAC
iii. Multiple lines detection through RANSAC
iv. Circle detection through RANSAC
v. Parametric shape detection through RANSAC
vi. Hough transformation (HT)
vii. Line detection through HT
viii. Multiple lines detection through HT
ix. Circle detection through HT
x. Parametric shape detection through HT
xi. Estimating affine transformation through RANSAC
xii. Non-parametric shapes and generalized Hough transformation
5. Key Point Detection and Matching
a. Corner detection (Key point detection)
i. Defining Corner
ii. Naïve corner detector
iii. Harris corner detector
1. Continuous directions
2. Tayler approximation
3. Structure tensor
4. Variance approximation
5. Multi-scale detection
b. Project: Building automatic panoramas
i. Automatic key point detection
ii. Scale assignment
iii. Rotation assignment
iv. Feature extraction (SIFT)
v. Feature matching
vi. Image stitching
6. Motion
a. Optical Flow, Global Flow
i. Brightness constancy assumption
ii. Linear approximation
iii. Lucas–Kanade method
iv. Global flow
v. Motion segmentation
b. Object Tracking
i. Histogram based tracking
ii. KLT tracker
iii. Multiple object tracking
iv. Trackers comparisons
7. Object detection
a. Classical approaches
i. Sliding window
ii. Scale space
iii. Rotation space
iv. Limitations
b. Deep learning approaches
i. YOLO a case study
8. 3D computer vision
a. 3D reconstruction
i. Two camera setups
ii. Key point matching
iii. Triangulation and structure computation
b. Applications
i. Mocap
ii. 3D Animations
9. Projects
a. Change detection in CCTV cameras (Real-time)
b. Smart DVRs (Real-time)
After completing this course successfully, you will be able to:
· Relate the concepts and theories in computer vision with real-world problems.
· Implement any project from scratch that requires computer vision knowledge.
· Know the theoretical and practical aspects of computer vision concepts.
Who this course is for:
· Learners who are absolute beginners and know nothing about Computer Vision.
· People who want to make smart solutions.
· People who want to learn computer vision with real data.
· People who love to learn theory and then implement it using Python.
· People who want to learn computer vision along with its implementation in realistic projects.
· Data Scientists.
· Machine learning experts.
Unlock the fascinating world of Computer Vision and take your first step towards becoming an expert in this field.
Enroll now and embark on a learning journey that combines theory and hands-on projects. Start mastering Computer Vision today!
List of Keywords:
Image Processing
Deep Learning for Computer Vision
Artificial Intelligence in Computer Vision
Machine Learning Models for Image Analysis
Object Detection and Recognition
Image Filtering and Enhancement
Shape Detection Algorithms
Key Point Detection and Matching Techniques
Optical Flow and Motion Analysis
3D Computer Vision and Reconstruction
Real-time Computer Vision Applications
Change Detection in CCTV
Smart DVR Systems
Computer Vision Projects
Image Segmentation
Feature Extraction in CV
Harris Corner Detector
Scale-Invariant Feature Transform (SIFT)
RANSAC Algorithm
YOLO (You Only Look Once)
3D Reconstruction from Images
Structure from Motion (SfM)
Mocap (Motion Capture)
Computer Vision for 3D Animation
Computer Vision for Data Scientists
Computer Vision for Machine Learning Practitioners
Who this course is for:
• Learners who are absolute beginners and know nothing about Computer Vision.
• People who want to make smart solutions.
• People who want to learn computer vision with real data.
• People who love to learn theory and then implement it using Python.
• People who want to learn computer vision along with its implementation in realistic projects.
• Data Scientists.
• Machine learning experts.
Deep Learning: Advanced Computer Vision (GANs, SSD, +More!)
Free Coupon Discount - VGG, ResNet, Inception, SSD, RetinaNet, Neural Style Transfer, GANs +More in Tensorflow, Keras, and Python | Created by Lazy Programmer Inc.
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Description
Latest update: Instead of SSD, I show you how to use RetinaNet, which is better and more modern. I show you both how to use a pretrained model and how to train one yourself with a custom dataset on Google Colab.
This is one of the most exciting courses I’ve done and it really shows how fast and how far deep learning has come over the years.
When I first started my deep learning series, I didn’t ever consider that I’d make two courses on convolutional neural networks.
I think what you’ll find is that, this course is so entirely different from the previous one, you will be impressed at just how much material we have to cover.
Let me give you a quick rundown of what this course is all about:
We’re going to bridge the gap between the basic CNN architecture you already know and love, to modern, novel architectures such as VGG, ResNet, and Inception (named after the movie which by the way, is also great!)
We’re going to apply these to images of blood cells, and create a system that is a better medical expert than either you or I. This brings up a fascinating idea: that the doctors of the future are not humans, but robots.
In this course, you’ll see how we can turn a CNN into an object detection system, that not only classifies images but can locate each object in an image and predict its label.
You can imagine that such a task is a basic prerequisite for self-driving vehicles. (It must be able to detect cars, pedestrians, bicycles, traffic lights, etc. in real-time)
We’ll be looking at a state-of-the-art algorithm called SSD which is both faster and more accurate than its predecessors.
Another very popular computer vision task that makes use of CNNs is called neural style transfer.
This is where you take one image called the content image, and another image called the style image, and you combine these to make an entirely new image, that is as if you hired a painter to paint the content of the first image with the style of the other. Unlike a human painter, this can be done in a matter of seconds.
I will also introduce you to the now-famous GAN architecture (Generative Adversarial Networks), where you will learn some of the technology behind how neural networks are used to generate state-of-the-art, photo-realistic images.
Currently, we also implement object localization, which is an essential first step toward implementing a full object detection system.
I hope you’re excited to learn about these advanced applications of CNNs, I’ll see you in class!
AWESOME FACTS:
One of the major themes of this course is that we’re moving away from the CNN itself, to systems involving CNNs.
Instead of focusing on the detailed inner workings of CNNs (which we've already done), we'll focus on high-level building blocks. The result? Almost zero math.
Another result? No complicated low-level code such as that written in Tensorflow, Theano, or PyTorch (although some optional exercises may contain them for the very advanced students). Most of the course will be in Keras which means a lot of the tedious, repetitive stuff is written for you.
Suggested Prerequisites:
Know how to build, train, and use a CNN using some library (preferably in Python)
Understand basic theoretical concepts behind convolution and neural networks
Decent Python coding skills, preferably in data science and the Numpy Stack
WHAT ORDER SHOULD I TAKE YOUR COURSES IN?:
Check out the lecture "What order should I take your courses in?" (available in the Appendix of any of my courses, including the free Numpy course)
Who this course is for:
Students and professionals who want to take their knowledge of computer vision and deep learning to the next level
Anyone who wants to learn about object detection algorithms like SSD and YOLO
Anyone who wants to learn how to write code for neural style transfer
Anyone who wants to use transfer learning
Anyone who wants to shorten training time and build state-of-the-art computer vision nets fast
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