IRL & Online Program
Autonomous AI Agents
Build capable multi-agent systems that can reason, use external tools, search the web, and collaborate to execute complex tasks.
Hands-on Highlights
- Design tool-use architectures with LangChain
- Build collaborative agent teams using AutoGen and CrewAI
- Implement long-term memory for conversational agents
- Deploy an autonomous coding assistant
Detailed Syllabus
Week 1-2
Agentic Foundations & Tool Use
- ReAct (Reasoning and Acting) prompting framework
- Function calling with OpenAI and Anthropic APIs
- Building your first LangChain agent
- Integrating external APIs (Search, GitHub, SQL)
Week 3-4
Multi-Agent Systems
- Introduction to Microsoft AutoGen
- Defining agent personas and system prompts
- Agent-to-agent communication patterns
- Building a PM and Developer agent pair
Week 5-6
Memory & Planning
- Short-term vs long-term memory (Vector DB integration)
- Tree of Thoughts (ToT) for complex reasoning
- Handling agent loops and infinite execution errors
- Building stateful agents with LangGraph
Week 7-8
Production Agents
- Evaluating agent reliability and hallucinations
- Adding human-in-the-loop (HITL) safeguards
- Deploying agents as scalable APIs
- Capstone: Autonomous Web Research Agent
Target Roles & Career Paths
AI Agent Developer
AI Solutions Engineer
Applied AI Researcher
These are the primary roles you will be equipped to apply for upon successful completion of the course and portfolio projects.