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Data Analysis | SQL,Tableau,Power BI & Excel | Real Projects

4-in-1 bundle: Practical learning of the essential tools used in Data Science with hands on examples and projects

If you're interested in becoming a data analyst you're in the right place!

Please ensure you can install MySQL Workbench on your computer - I have enabled the installation videos for free preview so you can try.

In this course, you will learn how to master the key techniques and concepts required to extract, manipulate, visualize, and analyze data effectively. Whether you're a beginner or have some experience with data analysis, this course will cater to your needs and help you gain a competitive edge in the rapidly growing field of data analytics.

Here's what you can expect to learn:

SQL Fundamentals: Dive into the world of structured query language (SQL) and learn how to write powerful queries to extract and manipulate data from databases. From basic SELECT statements to advanced JOINs, subqueries and aggregate functions, you'll gain a comprehensive understanding of SQL. This section is available for Mac and Windows laptops and computers.

Tableau Fundamentals: Unleash the potential of Tableau, a leading data visualization and exploration tool. Learn how to connect to data sources, create stunning visualizations using drag-and-drop techniques, and build interactive dashboards to uncover valuable insights. This section is available for Mac and Windows laptops and computers.

Power BI Essentials: Explore the capabilities of Power BI, Microsoft's powerful business intelligence tool. Discover how to import, transform, and model data from various sources, create interactive visualizations, and design compelling reports and dashboards. This section is only available for Windows users.

Excel for Data Analysis: Excel remains a fundamental tool for data analysis, and in this course, you'll harness its power. Explore common features used by data analysts such as formulas, pivot tables, data cleaning, and conditional formatting to efficiently analyze and present data. This section is available for Mac and Windows laptops and computers.

Using ChatGPT as a Data Analyst: Learn how to use ChatGPT to enhance your productivity as a data analyst. Discover practical techniques for utilizing ChatGPT to assist in writing SQL queries, generating code snippets, and automating repetitive tasks.

Statistics for Data Analysis: Develop a strong foundation in statistical concepts essential for data analysis. Learn about key measures such as standard deviation, mean, median, and mode. Understand how to interpret these statistics and apply them to real-world data analysis scenarios.

Why Enroll in this Course?

Comprehensive Approach: Gain proficiency in four essential tools used by data analysts, allowing you to tackle a wide range of data analysis tasks.

Hands-On Learning: Through practical exercises and real-world examples, you'll apply your knowledge to solve realistic data analysis challenges.

Practical Projects: Work on exciting projects that simulate real-world scenarios, enabling you to build a portfolio of practical data analysis skills.

Expert Instruction: Learn from an experienced instructor who has extensive industry knowledge and a passion for teaching data analysis.

Career Advancement: Equip yourself with the skills demanded by the job market and unlock lucrative career opportunities as a data analyst or business intelligence professional.

Manage AWS IAM with Claude Code, Terraform and GitLab

Unlock the future of cloud security and automation. As cloud environments grow, managing AWS Identity and Access Management (IAM) manually becomes a bottleneck and a security risk.This hands-on course bridges the gap between traditional DevOps and modern AI assistance, teaching you how to build, secure, and deploy AWS IAM infrastructure at scale.

You will start with the fundamentals of AWS IAM before quickly diving into Claude Code, leveraging next-generation AI to accelerate your development workflow. From there, you will transition into practical Infrastructure as Code (IaC), using Claude Code to co-pilot the creation of robust Terraform configurations for IAM users, groups, and precise, least-privilege policies.

Finally, you will bring it all into a production-ready GitLab CI/CD pipeline. You won't just automate deployments—you will learn how to embed rigorous automated security gates directly into your pipeline to catch misconfigurations before they hit production.

What You Will Learn:

AI-Assisted IaC: Use Claude Code to write, refactor, and optimize Terraform.

AWS IAM Mastery: Design secure, scalable access controls.

DevSecOps Pipelines: Build GitLab CI/CD workflows with integrated security gates.

Ready to revolutionize your workflow? Bridge the gap between AI innovation and cloud security, and build pipelines that are fast, automated, and secure by design.

Build & deploy 8 microservices to production on AWS — Karpenter, GitOps, CI/CD, Observability + Resume Prep

What if you could deploy production-grade AWS infrastructure without writing a single line of code yourself?

That’s exactly what this course is about. You’ll take a real Spring Boot microservices application—eight services, real databases, real traffic—and push it all the way to production on AWS. Every Terraform module, every Kubernetes manifest, every CI/CD pipeline, and every runbook is generated by Claude Code. Your role is to think like an architect: write precise prompts, review the outputs, and make sure everything is production-ready.

This isn’t a step-by-step tutorial. It’s a project.

You step into the role of a DevOps engineer handed a Jira board and expected to deliver. You’ll work through real epics—networking, compute, container registry, databases, secrets, GitOps, observability—in the same sequence a real production team would follow.

What you’ll build:

A VPC with public subnets across multiple availability zones

An Amazon EKS cluster running cost-optimized Graviton ARM nodes

Amazon RDS MySQL for persistent storage

Amazon ECR with lifecycle policies and vulnerability scanning

A GitOps pipeline using ArgoCD (auto-sync for dev, manual approvals for production)

GitHub Actions CI pipelines that build, push, and trigger deployments

Secrets Manager integrated with External Secrets Operator for Kubernetes

A full observability stack with Prometheus, Grafana, Fluent Bit, and Zipkin

Why Claude Code?

AI doesn’t replace engineers—it amplifies them. But only if you know how to guide it, evaluate its output, and catch what it misses. This course focuses on building that skill in the context of a real-world project, so you walk away with both working infrastructure and a repeatable workflow.

By the end, you’ll have:

A production-ready AWS platform in your GitHub portfolio

Hands-on experience with Terraform, EKS, ArgoCD, and GitHub Actions

A repeatable, AI-assisted workflow you can apply to future projects

If you’ve been meaning to get serious about cloud infrastructure, this is where it starts.

Use Claude Cowork and Claude Code, Access 70+ Claude Resources, 200+ Prompts, 20+ Claude Skills, 10+ Claude Plugins

The Claude ecosystem is evolving fast — and most people are only using a fraction of what it can do.

If you're a business owner — imagine Claude organising your files, controlling your browser, and completing tasks on your computer while you focus on what matters.

If you're a professional or developer — picture building real web applications and deploying them live, even if you've never written a line of code.

If you're a freelancer or entrepreneur — Claude Skills and Plugins let you offer AI-powered services most people don't even know exist yet.

This is the most complete Claude course available. In one course, you'll master Claude Cowork, Claude Code, Claude Skills, and Claude Plugins — the four pillars of the Claude ecosystem — with step-by-step guidance from absolute beginner to advanced builder.

Claude isn't just a chatbot anymore. With Claude Cowork, you let Claude work directly on your computer — managing files, controlling your browser, and running tasks on autopilot. With Claude Code, you build and deploy real applications with AI. And with Skills and Plugins, you make Claude work exactly the way you do — in ways most people don't even know are possible.

By the end of this course, you'll be automating daily tasks, building full web applications, creating custom AI workflows, and using the entire Claude ecosystem with real confidence — whether you're starting from scratch or ready to go much deeper.

Additionally, you'll receive instant access to 200+ ready-to-use Claude prompts, 20 plug-and-play Claude Skills, and a 50-page e-book showing how the entire Claude ecosystem works together — ready to use from day one.

What You'll Learn in This Course:

Section 1: Course Introduction

Understand the difference between Claude Cowork, Claude Code, Skills, and Plugins — and which tool to reach for in every situation.

Watch a dynamic showcase of Claude Cowork and Claude Code use cases that immediately demonstrates the power of both apps.

Learn how the course is structured and how to jump freely between sections based on what you need most.

Section 2: Claude Cowork Basics

Set up Claude Cowork, understand pricing, and complete your very first real task on your computer.

Use the browser extension to let Claude operate inside your web browser and perform actions on websites.

Teach Claude your regular tasks and schedule them to run automatically on autopilot.

Connect Claude to 100+ apps using Connectors — including custom MCP connectors for advanced integrations.

Explore 20+ real-world Cowork use cases, from organising a messy desktop to creating presentations and community posts.

Section 3: Claude Skills Basics

Understand what Skills are and how they fundamentally change the way Claude works for you.

Use pre-built Skills inside Claude and download a ready-made Skills pack to start immediately.

Learn the core structure of a Skill and discover multiple ways to create one inside Claude.

Build your own Skill from scratch using the Skill Creator and a clear step-by-step formula.

Edit and refine your Skills using both the Claude chat interface and direct folder/file editing.

Section 4: Claude Skills Advanced

Write effective Skill instructions — understand exactly what separates a great Skill from a poor one.

Test your Skills properly and learn how to diagnose and fix issues when something doesn't work.

Master Skill folder structure and organisation for building scalable, maintainable Skills.

Build Skills using Claude Code itself, including Skills that leverage MCP tools for advanced outputs.

Create three complete Skills together and explore marketplaces where you can buy and sell Skills.

Section 5: Claude Plugins

Understand what Plugins are, how they differ from Skills, and when to use each one.

Use Plugins inside Claude, explore their structure, and run commands to trigger specific workflows.

Customise existing Plugins and upload your own via GitHub or URL.

Build a Plugin from scratch using Claude — step by step, from idea to working Plugin.

Get a full walkthrough of Anthropic's 11 built-in Plugins so you always know what's available and when to reach for it.

Section 6: Claude Code Basics

Install and set up Claude Code, Git, and GitHub from absolute scratch — no prior coding experience required.

Take a full tour of the Claude Code interface, understand the CLAUDE .md file, and learn how context management works.

Master permission modes, Plan Mode, and the .claude directory structure.

Connect and use MCP tools inside Claude Code to extend what it can do.

Set up hooks, remote control, and integrate Claude Code with n8n for automation workflows.

Section 7: Claude Code Advanced

Work with Sub-agents — what they are, how to create them, and how to run them in parallel for faster results.

Build Agent Teams and use Skills as sub-agents inside complex, multi-step projects.

Use Git Worktrees and deploy APIs live on the web using Modal.

Complete three full guided projects — building and deploying real applications from idea to live URL.

Section 8: How to Use Claude (Optional)

Get a full tour of the Claude interface: Projects, conversations, memory, sidebar, and settings — what's where and why it matters.

Understand pricing, plans, and models (Sonnet, Opus, Haiku) and learn how to pick the right one for every task.

Set up System Prompts and Custom Instructions so Claude always knows your context, tone, and preferences.

Master Projects, Memory, Artifacts, and advanced features including Voice, Vision, and File Analysis.

Learn practical Prompt Engineering patterns that get real results — plus 200+ downloadable prompts ready to use immediately.

Now, why should we teach you this topic?

Damian Danelczyk holds a degree in AI & Software Engineering and brings nearly 15 years of programming experience to this course. He runs his own AI Automation Agency and works with the Claude ecosystem every day in real client projects — which means everything he teaches is grounded in hands-on, practical experience. He's the builder in the room, and in this course he'll show you exactly how it's done.

Krystian Wojtarowicz is an AI educator and course creator with 45+ courses and tens of thousands of students worldwide. He specialises in taking complex AI and automation tools and turning them into clear, step-by-step learning experiences that anyone can follow — regardless of technical background. His mission is to make the full power of Claude accessible to everyone.

You have NOTHING TO LOSE and so much to gain!

This is the most complete Claude course available — covering Cowork, Code, Skills, and Plugins in one place, step by step, from complete beginner to confident builder.

ADD TO CART now and let's start this journey together!

90+ Ready-to-Use n8n Templates to Build AI Agents & Automate Workflows with OpenAI, Retell, MCP, RAG | Launch AI Agency

2026 is the year of AI Agents and AI Employees.

If you're a business owner - Implement AI or get left behind.

If you're not a business owner - Start an AI Automation Agency. Don’t miss the AI revolution.

If you're a professional, stay ahead by mastering AI Agents & automation - Don’t lose your job to AI.

AI Agents and AI automation are revolutionizing the way we work, and now’s the perfect time to dive in! Whether you're simply eager to embrace the future of AI, a business owner aiming to automate processes, an aspiring entrepreneur ready to start your own AI Automation Agency, or a professional looking to become indispensable by mastering the latest AI tools - this course will teach you everything you need to get started.

You’ll learn how to easily create no-code AI agents, build automated workflows, and set up advanced AI solutions like AI Voice Agents, smart email managers, and personal assistants that can handle real tasks. We'll explore powerful technologies such as n8n, Retell AI, Eleven Labs, Pinecone, Supabase, OpenAI, and popular Large Language Models (LLMs) like ChatGPT, Claude, Gemini, Deepseek, and more.

Additionally, you’ll receive instant access to 90+ n8n AI agent templates and automations that you can reuse, customize, build upon, and even sell as services - accelerating your learning and helping you launch quickly.

What You’ll Learn in This Course:

Section 1: The Complete n8n Course Introduction

Course Introduction ( Start Here )

Important Information Before We Start

Course Setup: Tools, Links & Resources

Explore 3 Powerful AI Voice Agents You Will Build in the Course!

Section 2: Getting Started with n8n, AI Agents, and AI Automations

What Is n8n and What Are the Benefits of Using It?

Workflows, Automations, AI Agents - What's the Difference?

Create Your n8n Account and Explore the Interface

Build Your First n8n Workflow Step-by-Step

Exercise: Create Your First Project in n8n

Section 3: Self-Hosting & Maintenance: Take Full Control of n8n

How to Update Your n8n Cloud Instance

How to Import Workflows in n8n

How to Use the Executions Log in n8n

Understanding Three Ways to Run n8n

How to Self-Host n8n for Unlimited Workflows & Full Control (Hostinger VPS)

How to Update Your Self-Hosted n8n Instance on Hostinger (Using Docker)

How to Self-Host n8n Locally on Your Own Machine with Node.js (Windows)

How to Self-Host n8n Locally on Your Own Machine with Node.js (Macbook)

How to Update Your Locally Self-Hosted n8n Instance with Node.js

Section 4: Build Your First Automations & AI Automations in n8n

Section Preview

Set Up Your Credentials (Quick Access)

Exercise: Create a Telegram Chatbot

Exercise: Automate Between Google Drive and Airtable

Exercise: Build an AI-Powered Audio Transcriber

Exercise: Sync Files Between Google Drive and Notion

Exercise: Use AI to Summarize Documents in Seconds

Section 5: Theory and Foundations: Automation, APIs, and Key n8n Terms

Section Preview

Note for Experienced Students

Glossary of Key Terms in n8n in AI Automation

Introduction to Automation

Workflow Automation Explained – What It Is and How It Works

What Are Large Language Models and How Do They Work?

Test 1: Understanding Automations, Agents & LLMs in N8N

Exploring Node Types and Categories in n8n

Understanding Triggers in n8n

Core Nodes in n8n

Test 2: N8N Workflow Fundamentals & Triggers

Introduction to APIs

Diving Deeper into APIs

Introduction to Webhooks

Test 3: Understanding APIs, Webhooks & HTTP in Automation

How n8n Works with Data

Optimizing Workflow Testing: Pinning & Editing Data in n8n

Introduction to Vector Databases and Top Tools Overview

What Is RAG (Retrieval-Augmented Generation)

Test 4: Data Handling, Transformation & RAG Fundamentals in N8N

Section 6: AI Agents, AI Assistants, RAG, Multi-Agent Systems, and AI Automations

Understanding the Difference: Automation, AI Automation, and AI Agents

AI Agents, Assistants, Multi-Agent Systems, and RAG Explained in n8n

Section 7: How to Set Up Credentials in n8n: LLMs, APIs & Messaging Tools

Section Preview

How to Connect n8n to External Services: Your Credential Setup Guide

How to Connect OpenAI’s LLMs to n8n

How to Connect Telegram to n8n

How to Connect Claude (Anthropic's Models) to n8n

How to Connect LLMs to n8n Using Grok Fast AI Inference

How to Connect Google Gemini to n8n

How to Connect Deepseek Models to n8n (Main Method)

How to Connect WhatsApp to n8n in 6 Minutes

How to Connect Any LLM to n8n via OpenRouter & HTTP Request (DeepSeek example)

How to Connect Google Gmail Drive Docs Sheets in n8n

How to Connect Perplexity to n8n

How and Why to Use Community Nodes in n8n

Section 8: Basic Automations, AI Automations and AI Agents

Section Preview

Build AI Automation Using a Pre-Made Template

Build an Automated Feedback Collection Form

Build Your First AI Agent from Scratch in n8n

This AI Agent Gives You The Best Daily News (About any Topic)

Generate Amazing Videos with Google's Veo3 Model!

Professional Linkedin Post Generator

Create Your AI Automation to Manage and Classify Gmail Emails

Make Your AI Agent 3x Better with the "Think" Node

Create an AI Story Generator with n8n

Viral Youtube Video Posting System

Create Social Media Content in Seconds!

Section 9: Visual & Social Media Creation AI Agents and Automations

This n8n Automation Turns Any Product Image into Viral Ads!

Build Your Own Image Generator App with Lovable & GPT Image 1

Build a System for Creating Viral Videos on Youtube

This AI Agent Creates Perfect T-shirt Mockup Designs

Make Passive Income with This Automation

Generate Viral YouTube Shorts with n8n & Minimax Hailuo

Use Kling 2.1 + n8n to Generate High-Quality AI Videos!

This is The Best Linkedin Automation You Will EVER See!

Create Videos with Your AI clone on Autopilot

Seedance: Viral Videos on Autopilot - 25x Cheaper than Veo3

Create a System to Making Stunning Youtube Thumbnails

ASMR Videos Generator

Section 10: Business & Support AI Agents

Create a Fully Automated Onboarding System for New Clients

Create an AI Agent That Tracks Your Finances

Build WhatsApp AI Agent that Remembers You & Your Conversations (Supabase Tool)

Inbox Manager - Sort all Your Emails in One Click

This n8n Workflow Analyzes Resumes in Seconds - Recruit 10x Faster

Build an AI Invoice Processing System in n8n

This AI System Summarizes Your Invoices Monthly

Section 11: RAG & Research AI Agents

Build Your First RAG Agent with n8n & Pinecone (Retrieval-Augmented Generation)

Let's Build DeepSeek R1 Planner!

How to Build an AI Agent That Remembers Everything (Supabase VB + PostgreSQL)

Build a DeepSeek R1 WhatsApp AI Agent to Plan and Research Anything for You

WhatsApp AI Customer Support & Low-Ticket Sales Agent (Task + Demo + Overview)

Section 12: More Advanced Projects: AI Agents & Agent Teams + MCP

Section Preview

Create a Powerful System For Publishing Viral Youtube Shorts

Build Human-in-the-Loop AI Agents

This AI System Cloned a 127M-View TikTok Account

Build Your First Team of AI Agents

Create Viral Social Media Post with the Perplexity AI Agent

MCP (Model Context Protocol) Intro and How to Use It for AI Agents in n8n

MCP WhatsApp AI Agent - Images, Voice, Tools (Part 1)

Create your MCP Server & Connect AI Agents Part 2 + Claude Desktop App and Cursor

Use MCP to turn AI Assistant into AI Agent (Claude & ChatGPT)

MCP Toolkit - Learn how to Use Verified MCP Servers through Docker Desktop App

How to Use Apify’s MCP with Claude Desktop for Web Scraping

Use n8n MCP to Create Complex Automations on Autopilot (Claude Desktop or Cursor

Supercharge n8n MCP with 2000+ Workflows & Documentation

New AI Agents & AI Automations Builds Coming Soon! Stay tuned!

Section 13: Build AI Voice Agents with n8n, Retell AI, Eleven Labs & VAPI

Section Preview

How to Import AI Voice Agent Templates into Retell AI

Set Up Twilio and Import Phone Numbers for AI Voice Agents (VAPI & Retell AI)

AI Voice Agent That Books Appointments Automatically (Retell AI + n8n + Cal. com)

ElevenLabs Voice AI Agent for Support & Low-Ticket Sales on Your Website

Conversational Flow - Receptionist AI Voice Agent (Physical Therapy Clinic)

Create a Professional Travel Voice Agent For Planning Trips

Your Personal Assistant AI Agent That Makes Phone Calls (VAPI)

More AI Voice Agent Tutorials & Templates Coming Soon!

Section 14: Premium AI Agent & Automation Templates Vault

Before You Dive Into the Vault

Usage & Copyright Disclaimer

Expense Tracking AI Agent

Multichannel RAG Agent with Pinecone

Invoice Extractor AI Agent

Lead Generation using Apollo (Apify)

Team of Email AI Agents

Voice AI Agent for Support & Low-Ticket Sales on Your Website

AI Voice Booking Agent with VAPI

Apollo Lead Scraper (Airtable Integration)

Web Research Agent

SEO Agent for Keyword Research & Article Creation

Lead Gen Agent Perplexity Sonar API & Google Maps

LinkedIn AI Agent for Lead Generation & Prospecting

10+ AI Agent Army

Section 15: 30-Day AI Automation Agency Roadmap

30-Day AI Automation Agency Roadmap

Now, why should we teach you this topic?

Damian is an AI Engineer and n8n expert who has been building AI Agents and automations with this tool since its early days - long before it became popular. With nearly 15 years of programming experience and a degree in AI & Software Engineering, he runs an AI Automation Agency, helping clients automate and scale their businesses.

Krystian is an AI and automation expert who has created 45+ successful courses, including a 13-hour best-selling Zapier course focused on AI-powered automations.

Don’t just take our word for it! Read some of the student's honest reviews...

"Solid course that not only covers the foundations of n8n- interface, working with apis, webhooks etc, but covers advanced use cases integrating voice , AI agents and LLMs. If you're looking for a course that can get you up to speed quickly, this is a great one." - Matthew W.

"So far I'm really enjoying this course! I've already been able to build some time-saving personal and business workflows using what I've learned from the lessons. It is easy to understand and beginner friendly. The community has also proven to be a great resource. I went into this course with zero knowledge of AI automation and now I feel so much more confident in my skills so that's a win!" - Essence H.

"I went through a first pass on this course to get an idea of what n8n can do. I was amazed at what n8n can do. This course gave many ideas on how to use n8n as well as how to get workflows already in the community. This course presented many ideas that can make a 7 figure income. Even if you just implemented one of the ideas in this course, you can get to financial independence. There are several ideas offered and step by step how to implement them. Don't get over whelmed, just pick one idea and use it well. You can alway go back and do another idea later." - Howard S.

"Let me give you guys a 5 million of stars, I'm Industrial Engineer and I love Process Automation, including AI and specially N8N has helped me a LOT, though when I went to school I hated Programming and coding classes with all my soul. You guys made this course wonderful, easy to explain, understandable, the exams I was able to pass them in the first try (I always fail because I lack of attention if the course is boring), exceptionally good this course." - Nestor F P.

"Really great course! Super practical examples and well-paced content. I liked how it covered both AI automation concepts and real-world builds in n8n without needing to code.

The voice agent part was especially cool makes you think differently about how to connect AI tools.

Perfect for anyone looking to explore AI workflows quickly." - Dylan W.

"Just finished the n8n online class and really enjoyed it. The lessons were super clear, easy to follow, and had a lot of real-life examples that made everything click. Even if you’re new to automation, it breaks things down in a way that makes it all feel doable. Definitely recommend it if you’re looking to get started with n8n and save time on repetitive tasks." - ABertuchi

"Just started this course and looks really useful. Seems to be oriented towards commercially useful workflows rather than just proof of concepts." - Peter J.

"I took this course, and I must say, it exceeded my expectations!

The instructor does an excellent job of breaking down complex concepts into digestible lessons, making automation accessible even to beginners. Their enthusiasm and expertise shine through in every session, keeping the learning experience enjoyable and informative.

If you're looking for a well-structured, engaging course that will open your eyes to the power of automation with N8N, I highly recommend this one. It’s the perfect mix of theory and practical application!" - Demetrio T.

"This course is a goldmine for no-code automation enthusiasts  powerful tools, clear lessons, and lots of super useful templates to hit the ground running! Really enjoying the course." - Carlos Martins B.

"One of the best course on Udemy is you want to learn AI Automation and building AI Agent. Keep up the good work, really appreciate for this course. Thank you" - Pritam B.

30-DAY GUARANTEE: If this course doesn’t meet your requirements, Udemy will refund your entire purchase within 30 days within minutes!

You have NOTHING TO LOSE and so much to gain!

If you want to learn how to use n8n to master AI automation, build powerful AI agents, and create advanced automations that save you hours of work, this course is exactly what you need.

ADD TO CART now and let's get started with our journey!

This course is a complete, hands on guide to mastering N8N and AI automation.

Automation is one of the most in-demand skills today, and n8n has quickly become one of the most powerful tools available. It is open source, flexible, and allows you to connect hundreds of apps and services together. When combined with AI models like OpenAI, Claude, Grok, Gemini, and Ollama, the possibilities are endless.

This course takes you from the very basics of n8n to advanced AI powered automations. You will not just learn concepts, you will build real projects step by step. Every lecture is designed with practice in mind, so by the end of the course, you will have built a portfolio of automation workflows that you can use in your own business or freelance career.

We will cover:

Installing n8n locally, in the cloud, or on a VPS

Trigger nodes, credentials, and integrations

Building AI chatbots with tools and website integration

Retrieval Augmented Generation (RAG) with n8n

Error handling for production-ready workflows

Dozens of projects: Telegram bots, Discord bots, Slack bots, WordPress automation, Google Sheets visualization, and more

Human In The Loop workflows (HITL)

Advanced projects like LinkedIn scrapers, AI crypto sentiment analysis, and AI meme generation

By the end, you’ll be confident in building automations that save time, boost productivity, and bring AI into your workflows.

Unlock the power of Large Language Models (LLMs) and bring cutting-edge AI to your projects! This beginner-friendly yet comprehensive course takes you deep into the world of transformer-based models — from foundational architectures like BERT and RoBERTa, to generative giants like GPT and Meta’s LLaMA.

But we don’t stop there.

You’ll also explore Retrieval-Augmented Generation (RAG) — one of the most powerful methods to enhance LLMs with real-time, context-aware information retrieval. Learn how RAG bridges the gap between static models and dynamic, knowledge-grounded generation — perfect for applications like chatbots, enterprise search, and AI assistants.

Whether you're a beginner Python developer or someone curious about how LLMs really work, this course will give you the theory, hands-on skills, and real-world insights to work confidently with modern AI tools.

What You’ll Learn

Section 1 - Transformers

word embeddings

positional embeddings and encoding

self-attention mechanism

masking

multi-head architecture

how to train a transformer architecture

transformer architectures: GPT, BERT and LLaMA

Section 2 - Encoder-Only Architectures

BERT fundamentals

pre-training and fine-tuning the model

the [CLS] token

BERT and RoBERTa

sentiment analysis, text classification and question answering with BERT

Section 3 - Decoder-Only Architectures

GPT and LLaMA fundamentals

reinforcement learning from human feedback (RLHF)

fine-tuning decoder-only architectures

LoRA and QLoRA

fine-tuning models on custom dataset

Section 4 - Retrieval-Augmented Generation (RAG)

what is RAG?

semantic search and vector databases

LSH and HNSW algorithms

using RAG with PDF files

Section 5 - Prompt Engineering

prompt engineering fundamentals

zero-shot prompting

few-shot prompting

chain of thoughts (CoT)

prompt chaining methods

Join the course today and start your journey into the world of Large Language Models and Retrieval-Augmented Generation. Whether you're building smarter apps, enhancing your AI knowledge, or simply exploring the future of language technology — this course will give you the tools and confidence to level up.

Enroll now and start building with the AI models shaping the future. Let's get learning!

This course is designed for anyone who wants to start or advance their DevOps career through hands-on, project-based learning.

You’ll begin with Linux, networking, and scripting fundamentals, then progress through key DevOps tools — Git, Jenkins, GitHub Actions, GitLab, Terraform, Ansible, Docker, Kubernetes, and AWS Cloud.

Each step builds on the last with real projects, like setting up the Vprofile application across multiple DevOps stages — from on-premise to AWS to Kubernetes.

The course also introduces AI-powered tools such as GitHub Copilot, Amazon Q, and AI-integrated Helm, helping you automate faster, code smarter, and build intelligent DevOps pipelines.

And now — introducing the brand-new Monitoring & Observability section, where you’ll learn how to collect, visualize, and analyze metrics, logs, and traces using tools like Prometheus, Grafana, Loki, and Alloy.

By the end, you’ll master both the core DevOps practices and modern AI-driven workflows, preparing you for real-world cloud and automation environments.

Step-by-Step Learning Path

Step 1

Basics of Linux

Server Management in Linux

Vagrant

Basics of Networking

Project: VProfile Project Intro & Setup on VMs

Step 2

YAML & JSON

Bash Scripting (Variables, Conditions, Loops)

Automating Admin Tasks

GitHub Copilot as AI Assistant for Scripting

Step 3

Cloud Computing Intro

IAM, EC2, EBS, ELB

SSM & CloudShell Intro

AWS CLI, S3, CloudWatch, RDS, Auto Scaling, Route53

Project: Lift & Shift Web App to AWS

Re-Architecting Web App on AWS (PaaS & SaaS)

Step 4

Git & GitHub

Maven Build Tools

Jenkins (CI/CD Pipelines, Master/Slave, Nexus, SonarQube)

GitHub Actions (Workflows, Runners, Security Scans)

GitLab CI/CD (Pipelines, Stages, Docker Integration)

Step 5

Python Scripting

Automating OS Tasks

Python for AWS using Amazon Q (AI)

Step 6

Terraform Fundamentals (Variables, Modules, Backends)

Infrastructure as Code for VPC Setup

Step 7 – Monitoring & Observability

Introduction to Monitoring & Observability

Why Monitoring is Essential for DevOps

Setting up Prometheus, Grafana, Loki, and Alloy

Writing Queries with PromQL

Connecting Grafana Data Sources

Building Dashboards and Alerts

Slack Integrations for Real-Time Notifications

Integrating Loki and Alloy for Logs and Metrics

Step 8

Ansible Intro

Ad Hoc Commands, Modules, YAML Basics

Playbooks, Variables, Conditions, Loops

Handlers, Templates, Roles

Ansible for AWS Automation

Step 9

AWS (VPC Deep Dive, Lambda, Logging, Custom Metrics)

Project: CI/CD on AWS – Beanstalk, RDS, CodePipeline

Step 10

Project: Google cloud platform for multi tier app setup

GCP Cloud shell

VPC

Firewalls

VMs

Cloud SQL & Memorystore

Cloud DNS

Managed Instance groups

Secure HTTPS Load Balancers

Certificate Manager

Step 11

Docker (Containers, Images, Volumes, Networks)

Kubernetes (Setup, Objects, Autoscaling, Ingress, ConfigMaps)

Helm with AI, Lens

Project: VProfile Deployment on Kubernetes

Step 12

Project on GitOps

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All source code is available for download

Responsive Instructor - All questions answered within 24 hours

Professional video and audio recordings (check the free previews)

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Look at any JavaScript ,Angular or React developer job posting out there, the knowledge and experience with Node.js is a must.In this course you will master all the NodeJS Fundamentals ,using Express, Mongo, Mongoose, Docker, React and more.

Are you a  developer with JavaScript experience ? Are you a developer who is just getting started with your web development career? then this course is for you .You will quickly master the fundamentals of Node and use them to create JavaScript backends . Enroll now and

Learn the Fundamentals of Node

Use the in-built node packages

Create REST APIs using Express

Perform REST CRUD using Mongo Client

Create REST Backend using Mongoose

Work on a Patient Clinical API project

Dockerize your node application

Create a Docker file

Use Docker Compose to launch different contianers

Create a Single Page Frontend using React

Secure your REST APIs using OAuth

Deploy Your Node Application to AWS

Connect and work with PostgreSQL database

Making 3D games can seem overwhelming at first — but with Godot 4, it’s more accessible than ever.

This course will guide you through the entire process of building 3D games in Godot 4, from the very foundations to advanced systems used in professional projects.

Along the way, you’ll create five complete 3D games, each designed to teach you new skills and techniques:

Sky Pogo – an endless jumper where you’ll learn physics, animation, UI, and persistence.

Brick Stacker – a physics-based stacking game, covering rigidbodies, lighting, and progressive difficulty.

Granny’s Capers – a full 3D platformer with enemies, animation trees, particles, and custom editor tools.

Space Ace – an endless space shooter with visual shaders, object pooling, the strategy pattern, and immersive sound.

Quack Lite – a complete FPS inspired by Quake, featuring modular AI with finite state machines, a flexible weapon system, multiple enemy types, powerful effects, and performance optimization.

We’ll also take focused detours into core skills like GDScript programming, Godot’s scene and node system, and input handling, so you can approach each project with confidence.

By the end, you’ll not only know how to make games in Godot 4 — you’ll have a toolkit of reusable patterns, scalable systems, and visual effects that you can bring into your own projects.

Whether you’re brand new to 3D or coming from 2D development, this course will give you the skills to create complete, polished games from scratch!

Ever wondered about DevOps Projects in Real Time?

Wanted some hands on experience in those projects?

Wished you create Continuous Delivery pipelines and automation frameworks for the IT organizations?

That sounds Impossible without getting into the PROJECTS in Real Time.

But not Anymore!!

I have created finest of DevOps project tutorials

You can watch & Practice these DevOps projects all by yourself.

Benefits:

1. Answer Interview questions about Real time scenarios.

2. Present yourselves with confidence in the project meetings.

3. Deliver end to end automation solutions in DevOps Projects.

Ever wondered about DevOps Projects in Real Time?

Wanted some hands on experience in those projects?

Wished you create Continuous Delivery pipelines and automation frameworks for the IT organizations?

That sounds Impossible without getting into the PROJECTS in Real Time.

But not Anymore!!

I have created finest of DevOps project tutorials

You can watch & Practice these DevOps projects all by yourself.

Benefits:

1. Answer Interview questions about Real time scenarios.

2. Present yourselves with confidence in the project meetings.

3. Deliver end to end automation solutions in DevOps Projects.

Ever wondered about DevOps Projects in Real Time?

Wanted some hands on experience in those projects?

Wished you create Continuous Delivery pipelines and automation frameworks for the IT organizations?

That sounds Impossible without getting into the PROJECTS in Real Time.

But not Anymore!!

I have created finest of DevOps project tutorials

You can watch & Practice these DevOps projects all by yourself.

Benefits:

1. Answer Interview questions about Real time scenarios.

2. Present yourselves with confidence in the project meetings.

3. Deliver end to end automation solutions in DevOps Projects.

Do you want to learn Python by creating something fun, interactive, and rewarding? In this course, you will build a complete 2D arcade-style game entirely from scratch using Python and Pygame. This project-based approach makes learning both enjoyable and practical, allowing you to immediately apply new skills as you follow each step of the development process.

You will begin by preparing your development environment and getting comfortable with the basics of Pygame. From there, the course guides you through creating each element of the game, including player movement, enemy behavior, shooting mechanics, and collision detection. You will also learn how to use sprites, handle keyboard input, manage game assets, and implement scoring and game-over conditions. Each lesson is designed to build on the previous one, making the learning experience smooth and beginner-friendly.

As you progress, you will gain valuable programming experience and understand how to structure a real game project using clean, organized, and efficient code. You will learn to troubleshoot common issues, experiment with different gameplay ideas, and adjust the game mechanics to make your project more dynamic and enjoyable. The course also encourages creativity by showing you how to customize graphics, adjust difficulty levels, and enhance the overall player experience through small but meaningful improvements.

By the end of the course, you will have a fully functional 2D game that you built yourself, complete with graphics, responsive controls, sound effects, and engaging gameplay. This course is ideal for beginners and intermediate learners who want a fun and motivating way to expand their Python skills through a hands-on, real-world project.

Welcome to “Building AI Agents and Agentic AI Systems Using AutoGen”, a hands-on, project-driven course designed to help you master the future of intelligent software: Agentic AI. As large language models (LLMs) become more powerful, the next evolution is enabling them to work collaboratively through AI agents—and this course is your complete guide to making it happen using Microsoft's AutoGen framework.

Whether you're a data scientist, ML engineer, AI researcher, or product builder, this course will take you step-by-step into the world of multi-agent AI systems. You’ll learn to design, build, and deploy AI agents that can autonomously plan, reason, and execute complex tasks by communicating with each other and interacting with external tools.

What you’ll learn:

Understand the fundamentals of Agentic AI and how it differs from traditional GenAI applications.

Explore the architecture of AutoGen and how it orchestrates multiple LLM-powered agents to collaborate effectively.

Build and customize various types of agents (e.g., UserProxyAgent, AssistantAgent, GroupChatAgent).

Implement multi-agent workflows that solve real-world problems with code generation, task breakdown, and dynamic decision making.

Integrate tools like web APIs, databases, and Python functions into your agent ecosystem.

Use AutoGen Studio for visual development and monitoring of agent interactions.

Optimize agents for cost, speed, and performance using configuration tuning and role specialization.

Deploy agentic systems for use cases like coding assistants, research bots, multi-agent chat applications, and automated task runners.

This course is project-focused—you won’t just learn the theory, you’ll build powerful agentic AI applications from scratch. You’ll understand how to design autonomous AI teams that mirror human workflows, assign responsibilities, communicate efficiently, and adapt to dynamic tasks.

We’ll also compare AutoGen with other orchestration frameworks like LangChain and CrewAI, giving you a well-rounded perspective of what tools to use and when.

Who should take this course?

This course is ideal for:

ML and AI professionals wanting to transition into LLM-powered agentic development.

Developers interested in building intelligent apps that go beyond chatbots.

GenAI enthusiasts eager to push the limits of LLM capabilities using agent collaboration.

Startup founders and product teams working on AI-first applications.

Students and researchers looking to build hands-on projects with cutting-edge agentic frameworks.

By the end of this course, you will have the confidence and skills to build, scale, and deploy AI agent ecosystems that can reason, act, and collaborate just like teams of humans—powered by the latest advancements in AutoGen and Agentic AI.

Welcome to first LangGraph Udemy course - Unleashing the Power of LLM Agents!

This comprehensive course is designed to teach you how to QUICKLY harness the power the LangGraph library for LLM agentic applications.

This course will equip you with the skills and knowledge necessary to develop cutting-edge LLM Agents solutions for a diverse range of topics.

Please note that this is not a course for beginners. This course assumes that you have a background in software engineering and are proficient in Python & LangChain. I will be using Pycharm IDE but you can use any editor you'd like since we only use basic feature of the IDE like debugging and running scripts .

The topics covered in this course include:

LangChain

LCEL

LangGraph

Agents

Multi Agents

Reflection Agents

Reflexion Agents

LangSmith

CrewAI VS LangGraph

Advanced RAG

Corrective RAG

Self RAg

Adaptive RAG

GPT Researcher

LangGraph Ecosystem:

LangGraph Studio / LangGraph IDE

LangGraph Cloud API

LangGraph Cloud Managed Service

Throughout the course, you will work on hands-on exercises and real-world projects to reinforce your understanding of the concepts and techniques covered. By the end of the course, you will be proficient in using LangGraph to create powerful, efficient, and versatile LLM applications for a wide array of usages.

This is not just a course, it's  also  a community. Along with lifetime access to the course, you'll get:

Dedicated troubleshooting support with me

Github links with additional AI resources, FAQ, troubleshooting guides

No extra cost for continuous updates and improvements to the course

DISCLAIMERS

Please note that this is not a course for beginners. This course assumes that you have a background in software engineering and are proficient in Python.

I will be using Pycharm IDE but you can use any editor you'd like since we only use basic feature of the IDE like debugging and running scripts.

Topics covered for Java:

Fundamentals:

Classes

Object

Constructor etc.

4 pillars

Inheritance

Polymorphism

Abstraction

Encapsulation

Basic Overview of Java:

Procedural vs OOPs

What is Java and what makes it Platform Independent

JDK vs JRE vs JVM

Installation

Setting Class path Environment Variables

Going One Level Deep:

Writing First Java Program

Understanding Classes, different types and Objects

Abstract Classes

Inner Classes etc.

Understanding Variables

Static Variables

Final Variables

Primitive Variables

Object references

Cover Big decimal vs Double

Understanding about String

String Pool

String Immutability

Access Specifiers

Type Casting

Implicit Type Casting

Explicit Type Casting

Understanding Method and Different Types

Cover Return Type

Cover static method

Method parameters

Pass by value vs pass by reference

Overloading etc.

How does Memory Management Happens in Java

Understand about heap and stack memory

Garbage Collector

Understand Constructor

Private Constructor

Default Constructor

Parametrized Constructor

Constructor vs Method

Files and Directories in Java

Read and Write from File using Scanners

Understanding Package and import

Understand POJOs etc.…..

Operators:

Arithmetic Operator

Relational Operator

Short Circuit Operator

Assignment Operator

Logical Operator

Ternary Operator

Bitwise Operator

Enums and its advanced usage

     Control Flow Statements:

If Statement

If Else Statement

If Else Ladder

Switch Statement and when to use

For Loop

While Loop

Do While Loop

Break Statement

Continue Statement

Multithreading and Concurrency:

ThreadPool Executors and Concurrency in Depth

Exception Handling:

Handling of Compile Time and

Handling of Run time errors

Checked and unchecked exception

Generic Programming in Java:

  Understand how to write generic classes and methods in java, and when to use

Java Collections:

List:

Array List

LinkedList

Stack

Queue:

Priority Queue

Dequeue

Set:

HashSet

Tree Set

LinkedHashSet

Map:

Tree Map

HashMap etc.

Java 8 Features:

Functional Interface

Lambda Expression

Stream APIs

Predicates

ForEach method

Default and static method in interface

Topics covered till now for Spring boot:

In this course you will find below topics:

Introduction to Spring Boot: First i have covered the fundamentals of Spring Boot and its differentiation from Spring MVC. (Also covered by Servlets, which was way popular before Spring framework) This provides a foundational understanding of the framework's significance in Java web development.

Project Setup in Spring Boot: The next step involves the setup of a Spring Boot project, essential for initiating our development endeavours. This phase ensures our environment is configured optimally for future application development.

Understanding Layered Architecture: Layered architecture is pivotal for the organisation and scalability of our applications. This concept enables us to structure our code in a manner that promotes modularity and maintainability.

Maven and Its Lifecycle: Maven serves as a powerful tool for project management and dependency resolution. Understanding its lifecycle is crucial for efficient project development and management of dependencies. We can create Spring boot project using Maven or Gradle, so understanding of this, i think is must.

Controller Layer Annotations: Get in-depth understanding of annotations such as @RestController and @RequestMapping facilitates the development of RESTful APIs. These annotations provide directives to Spring Boot, dictating the behavior of our controllers. Covered many other annotation like @RestController @Controller @Responebody @RequetMapping @RequestParam @PathVariable @InitBinder @RequestBody

Bean Lifecycle in Spring Boot: In this you will get to know about BEAN and its lifecycle, I have also explained about IOC (Inversion of Control) which manages those Bean.

You will get to know about different ways of creating Bean (@Component and @Bean annotation), Different types when bean get created (Eagerly and Lazily).

7. Spring boot : Dependency Injection

8. Spring boot Bean Scopes

9. How to Dynamically initialized Beans

10. Spring boot @ConditionalOnProperty Annotation

11. Spring boot @Profile annotation

12. Spring boot AOP (Aspect Oriented Programming)

13. Spring boot @Transactional Annotation

14. Spring boot @Async Annotation

15. Spring boot: Custom Interceptors

16. Spring boot: Filters vs Interceptors

17. Spring boot HATEOAS Restful API

18. Spring boot ResponseEntity and Response Codes

19. Spring boot - Exception Handling

Master API Automation Testing with Rest Assured, Postman, CI/CD, and Real-Time Projects

- Become an Industry-Ready API Test Automation Engineer

- Are you looking to master API testing and automation with real-world, enterprise-grade examples? This course is meticulously crafted for QA Engineers, Automation Testers, and SDETs who want to go beyond theory and build practical API automation frameworks used by top product companies.

- From API fundamentals to Rest Assured automation, from Postman to Jenkins CI/CD, and from Git mastery to real-time project implementation—you’ll get hands-on skills, downloadable resources, and reusable code templates to make your learning job-focused and impactful.

What You'll Learn

Learn Concepts of Software Architectures [ imp for SDET role ]

Understand APIs inside out: REST, HTTP, GraphQL, Status Codes, API Types

Use Postman like a pro: Auth flows, Params, Assertions, Cookie Validation

Build end-to-end API Automation with Rest Assured in Java

Structure test frameworks using Maven, TestNG, Property Files, Soft/Hard Asserts [ imp for SDET role ]

Master JSON handling, Schema Validation, Serialization & Deserialization using POJOs [ imp for SDET role ]

Automate workflows: API Chaining, Request Bodies, Token Auth, File Uploads [ imp for SDET role ]

Integrate with CI/CD using Jenkins: Build, Test, Deploy pipelines with reports [ imp for SDET role ]

Version control with Git: Branching strategies, conflict resolution, real-world workflows

Learn API metrics, resume strategies, and interview preparation

Work on real-time projects: ChatGPT APIs, Coop App, Multi-API flows

Explore AI use cases and performance techniques in API automation [ imp for SDET role ]

Who Should Take This Course?

Manual testers looking to switch to automation

QA Engineers ready to implement real-world API automation frameworks

SDETs preparing for interviews in top product companies

Anyone who wants hands-on experience in Postman, Rest Assured, Git, Jenkins, Maven, TestNG, Design Patterns & Java

What Makes This Course Unique?

150+ practical lessons and code-along videos

Includes interview questions, resume tips, and real-time projects

Downloadable documents, PPTs, templates, and coding challenges

Covers Postman + Rest Assured + CI/CD with Jenkins + Git

Project-based learning with emphasis on code design patterns and framework structuring

Includes ChatGPT API automation, API chaining, POJO handling, and JSONPath

Tools & Technologies Covered

Postman

Rest Assured (Java)

Git & GitHub

Jenkins

Maven

TestNG

JSON / POJO / Schema Validation

API chaining and token-based authentication

Java Programming Best Practices

Design Patterns

Software Architectures: Monolith & Microservice

Wrapper class in Java

Enum in Java

Included Resources

All course code on GitHub

Access to downloadable files: strategies, test plans, MCQs, resume templates

Mock interviews, coding patterns, and time-space complexity discussions

Retry Listeners, Wrapper Classes, Extent Reports, and more

Course Outcome

By the end of this course, you’ll be able to:

Build an advanced automation framework for API testing

Work on live projects and CI pipelines with confidence

Handle real-world API challenges like tokenization, chaining, schema validation

Stand out in SDET interviews with strong practical and architectural skills

About the Trainer

This course is created by Sidharth Shukla, an industry-recognized leader in Software Development Engineering in Test (SDET) with over 15 years of hands-on experience in automation, testing frameworks, and building high-performing QA strategies.

Sidharth is also a global mentor and educator with a strong community presence, having built a trusted network of 83,000+ LinkedIn followers & 8000 Students. He has trained and guided thousands of engineers worldwide, helping them transition into advanced test automation and thrive in product-based companies.

With his deep expertise and passion for simplifying complex technical concepts, Sidharth’s teaching style bridges the gap between real-world industry practices and learner-friendly explanations — making this course practical, engaging, and result-driven.