Building AI Agents & Applications
Build intelligent AI agents that can reason, plan, and execute tasks autonomously. The cutting edge of AI application development.
About This Course
This advanced course teaches you to build the next generation of AI applications — autonomous agents that can reason, plan, use tools, and collaborate. You will learn agent architectures (ReAct, Plan-and-Execute, Reflexion), build with frameworks like LangChain and CrewAI, implement memory systems, and deploy production-ready agent systems. This is the most in-demand AI skill in 2026.
Curriculum
What You'll Learn
- Design and build autonomous AI agents from scratch
- Implement ReAct, Plan-and-Execute, and multi-agent architectures
- Build agents with tool use, memory, and planning capabilities
- Deploy production-grade agent systems
- Test, monitor, and improve agent behavior
- Create multi-agent collaboration systems
Prerequisites
- •Strong programming skills (Python preferred)
- •Experience with LLM APIs
- •Understanding of prompt engineering
Who This Course Is For
- •AI engineers and ML engineers
- •Senior software developers
- •Technical founders building AI products
- •Researchers exploring agent systems
- Duration
- 10 weeks
- Level
- Advanced
- Format
- Cohort-based with project mentoring
- Certificate
- Yes
- Language
- English
- Students
- 1,430 enrolled
- Rating
- ★ 4.9 (287 reviews)
Your Instructor
Dr. Michael Zhang
AI Agent Researcher & Architect
Dr. Zhang led the AI agents team at a major AI lab before founding an agent infrastructure startup. He holds a PhD in Multi-Agent Systems from Stanford and his research has shaped modern agent architectures.