Agentic AI: Production Grade AI Agents using CrewAI and AWS

Build AI Agents with CrewAI, AWS Bedrock, AgentCore, RAG, MCP, Langfuse, memory, evaluations, multi-agent, A2A, security

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 CrewAI

• Production 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 Base

• Model Context Protocol (MCP) integrations using AWS AgentCore MCP Gateway

• Observable agents on AWS with real-time monitoring

What You Will Understand:

• Agentic fundamentals and multi-agent architectures

• RAG to give agents access to your data using AWS Bedrock Knowledge Base

• MCP for standardized tool access using AWS AgentCore MCP Gateway

• Memory 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.