The offering, titled Agentic AI Systems: Build, Deploy & Scale, addresses a shift where 40% of organizational applications are expected to integrate AI agents within two years. Students will engage with a curriculum covering agentic RAG, multi-agent systems, and loop engineering. The pedagogy balances live mentorship from Simplilearn experts with quarterly masterclasses led by Columbia Engineering faculty, ensuring a bridge between academic research and industrial application.

Participants will gain hands-on experience with over 20 frameworks, including LangChain, CrewAI, and LangGraph. Practical assignments range from creating AI Product Discovery Assistants to building Multi-Agent Customer Support tools. To qualify, applicants must possess a foundational understanding of Python and at least two years of professional experience in data or technology roles. Upon completion, learners receive a certificate from Columbia Engineering Executive Education, with an optional specialized elective focusing on AI agent development via the Microsoft Azure platform.