Building Autonomous Agentic AI Systems for Beginners HandsOn

Source: https://www.udemy.com/course/building-autonomous-agentic-ai-systems-for-beginners-handson/

What you’ll learn

• Understand the fundamentals of Agentic AI, how it works, and how it differs from traditional AI systems
• Build functional AI Agents using modern frameworks like Smolagents, CrewAI, MCP, and n8n
• Integrate RAG (Retrieval-Augmented Generation) into agent workflows to improve accuracy and reliability
• Design multi-agent systems capable of collaboration, autonomy, and complex reasoning
• Implement memory systems, embeddings, vector search, and orchestration logic inside agents
• Build real-world multi-agent solutions, including cloud monitoring and cross-cloud intelligence
• Apply reflection, self-improvement, safety, and guardrail techniques to make agents more robust and trustworthy

Requirements

• Familiarity with Python
• Basic understanding of how LLMs work
• Curiosity to explore Agentic AI, autonomous agents, and AI-driven workflows
• Prior fundamental experience with AI is required

Password: cms.ddpanda.org