Agentic AI: Production Grade AI Agents using CrewAI and AWS

About this course

Tired of AI projects that never reach production?

This course takes you from Agentic AI fundamentals to deploying production-ready agents using CrewAI and AWS.Who This Is For: Engineers and developers who want to move beyond LLM prompting and build production AI agents with CrewAI, AWS Bedrock, and AWS AgentCore.

What You Will Build:

Multi-agent systems using CrewAIProduction Telegram Bot powered by AI agents (Capstone)Github Issue Fixer which automates the issue fixing (Capstone)Retrieval-Augmented Generation (RAG) pipelines using AWS Bedrock Knowledge BaseModel Context Protocol (MCP) integrations using AWS AgentCore MCP GatewayObservable agents on AWS with real-time monitoring

What You Will Understand:

Agentic fundamentals and multi-agent architecturesRAG to give agents access to your data using AWS Bedrock Knowledge BaseMCP for standardized tool access using AWS AgentCore MCP GatewayMemory management for persistent agent context

Inter-agent communication (A2A) for collaborative agent systems

Agent security using AWS Bedrock Guardrails combined with security best practices

Observability using Langfuse and CloudWatch to monitor agent behavior in production

Agent evaluation using LLM-as-a-Judge methodology and other inline and online evaluation techniques

Why This Course:

• Hands-on demos with real production patterns
• Taught by a software architect with 20+ years of production experience
• Full agent lifecycle: concept → build → secure → deploy → monitor

This is not another AI hype course. It is a practical blueprint for engineers building production AI agents with CrewAI and AWS.Enroll now and start building today.

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