Learn Agentic AI – Build Multi-Agent Automation Workflows

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. We’ll go beyond theory with advanced collaboration patterns, including multi-agent group chats, context-driven workflows, and automated validation. By the end, you’ll have the skills to create production-ready agentic systems using the Agent Factory Pattern, empowering you to design reusable, scalable, and highly efficient AI workflows. If you’re ready to level up from AI users to AI builders, this course will give you the tools and mindset to lead the next wave of AI innovation. This course uses Python Stack & Python basics has been thoroughly discussed in the last section of the course for brush up.