Learn Agentic AI – Build Multi-Agent Automation Workflows

Build Autonomous AI Agents with AutoGen & MCP –End-to-End Agentic AI Workflows with 6 Agents for Real-World Automation. Welcome to the future of AI automation – Agentic AI with the AutoGen Framework. This course is your ultimate guide to building intelligent, autonomous AI agents that collaborate, self-correct, and execute complex tasks without constant human intervention. Even if you're new to this space, we start from the absolute basics—no prior knowledge of agent frameworks is required. You’ll start by mastering the core foundations – Large Language Models (LLMs), AI Agents, Multi-Agents, and the Model Context Protocol (MCP), which serves as the backbone for agent-to-tool communication. Next, you’ll learn how to engineer contexts and craft prompts that unlock the true potential of your AI agents. Through hands-on projects, you’ll build real-world agents like Browser Automation Agents, Database Agents, API Agents, and Jira Agents.

LangChain Framework for Beginners – Build AI Agents + RAG

Learn LangChain 1.0 with AI Agents, Tools, RAG Pipelines, Agentic RAG, Middleware, MCP Integration& LangGraph Deployment

Build Your Own MCP Servers with TypeScript -Beginner’s Guide

The Model Context Protocol (MCP) is redefining how Large Language Models interact with real-world systems — allowing AI to go beyond conversations and perform actual tasks.This course, “Build Your Own MCP Server with TypeScript,” is a complete hands-on guide that takes you from the fundamentals of MCP to building and deploying a working server that bridges your backend code with AI models like Claude. You’ll begin by understanding the core architecture of MCP — its four pillars: Tools, Resources, Prompts, and Sampling — and how each allows an AI to securely access databases, APIs, or system functions. Then, you’ll build a complete e-commerce CRUD codebase in Node.js/TypeScript, where products can be added, updated, deleted, and fetched through natural language queries. By the end, you’ll see your LLM perform real database operations just by asking it in plain English.