Building AI Agents & Applications
Build intelligent AI agents that can reason, plan, and execute tasks autonomously. The cutting edge of AI application development.
À propos de ce cours
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.
Programme
Ce que vous apprendrez
- 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
Prérequis
- •Strong programming skills (Python preferred)
- •Experience with LLM APIs
- •Understanding of prompt engineering
À qui s'adresse ce cours
- •AI engineers and ML engineers
- •Senior software developers
- •Technical founders building AI products
- •Researchers exploring agent systems
- Durée
- 10 weeks
- Niveau
- Advanced
- Format
- Cohort-based with project mentoring
- Certificat
- Oui
- Langue
- English
- Étudiants
- 1,430 inscrits
- Note
- ★ 4.9 (287 avis)
Votre instructeur
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.