AI Agents Mastery: From Architecture To Optimization - 2026 Update

Dive into modern AI agent engineering in this updated, hands-on bootcamp. You’ll go from spinning up your first LLM-powered agent to designing robust architectures with tools, MCP, and agentic RAG, all grounded in real-world use cases. Along the way, you’ll work with popular agent frameworks, add observability using traces and spans, and build evaluations that keep your agents reliable as prompts, models, and requirements change. By the end, you’ll have an end-to-end agent you can deploy, monitor in production, and iteratively improve with real-world feedback.

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AI Agents Mastery: From Architecture To Optimization - 2026 Update

Course content

8 sections | 13 lessons

Intro

Module 1 – Introduction to Agents

Module 2 – Agent Engineering & Observability

Module 3 – Agent Architectures & Frameworks

Module 4 – Tools & MCP

Module 5 – RAG & Agentic RAG

Module 6 – Agent Evaluation

Module 7 – Post-Deployment & Monitoring

AI Agents Mastery: From Architecture To Optimization - 2026 Update

Intro1 Lessons

Intro

Module 1 – Introduction to Agents1 Lessons

Module 1 – Introduction to Agents

Module 2 – Agent Engineering & Observability2 Lessons

Module 2 – Agent Engineering & Observability

Module 3 – Agent Architectures & Frameworks2 Lessons

Module 3 – Agent Architectures & Frameworks

Module 4 – Tools & MCP2 Lessons

Module 4 – Tools & MCP

Module 5 – RAG & Agentic RAG2 Lessons

Module 5 – RAG & Agentic RAG

Module 6 – Agent Evaluation2 Lessons

Module 6 – Agent Evaluation

Module 7 – Post-Deployment & Monitoring1 Lessons

Module 7 – Post-Deployment & Monitoring