Building Autonomous Agentic AI Systems for Beginners HandsOn

About this course

Agentic AI is rapidly transforming how work gets done, marking a pivotal shift in the evolution of intelligent systems. Mastering this new paradigm has never been more essential. This course empowers you with the practical skills and strategic understanding needed to design, build, and deploy real-world agentic AI systems, unlocking powerful opportunities for innovation, automation, and career growth.

What’s in this course?

We begin with the core foundations of Agentic AI - understanding what agents are, how they differ from traditional AI systems, and how reasoning, planning, and tool usage enable autonomous workflows. From there, we explore the building blocks of agentic systems, including LLMs, memory, embeddings, vector databases, and RAG pipelines. You’ll learn how agents reason, how they use tools, and how to structure prompts and task orchestration for optimal performance.

Next, we move into advanced, real-world demonstrations, where you will build practical agentic solutions such as:

Standalone AI AgentsAn MCP Server and Client AgentMulti-Agent Systems using CrewAIAn AWS Monitoring Multi-Agent SystemA Cross-Cloud Multi-Agent System using AWS and Google CloudAgentic RAG systems for intelligent knowledge retrievalA Course Intelligence Agent using Agentic RAGA Project Feasibility Analysis Agent powered by Agentic RAG

These demonstrations simulate real enterprise and startup use cases, helping you understand how agentic AI systems are designed, scaled, and deployed in production environments.

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

• Build autonomous AI agents from scratch

Use Smolagents, MCP, CrewAI, and n8n to

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