AI Agents Curriculum
On this page
- AI Agents Curriculum Overview
- About AI Agents
- Architecture & Workflow
- Key Benefits for Modern DevOps
- Complete Curriculum Roadmap
- Module 1: Agent Fundamentals & Core Loops
- Module 2: Tools, Functions & Orchestration
Special Thanks
Curriculum sourced from AI Agents by Microsoft Cloud Advocates.
About AI Agents
Comprehensive guide to autonomous AI agents, multi-agent orchestration, tool usage, memory, and reasoning frameworks.
Architecture & Workflow
Diagram
Key Benefits for Modern DevOps
- Automation: Eliminates repetitive manual procedures through codified configuration.
- Reliability & Consistency: Reduces configuration drift across development, staging, and production environments.
- High Observability: Provides deep telemetry into application and infrastructure health.
Complete Curriculum Roadmap
This comprehensive handbook covers the entire AI Agents engineering lifecycle across 2 structured modules:
Module 1: Agent Fundamentals & Core Loops
- What are AI Agents?: Agentic Systems vs Simple LLM Chains
- Core Agent Design Patterns: Reflection, ReAct & Planning
→ Explore Agent Fundamentals & Core Loops
Module 2: Tools, Functions & Orchestration
- Tool Usage & APIs: Connecting Agents to Real-World APIs
- Multi-Agent Collaboration: Orchestrating Teams of Specialized Agents