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
Download Links
Password: cms.ddpanda.org
Host: FreeDL
BAAASfBH.rar – 3.3 GB
