Agentic AI Curriculum

Announcement:

Announcement of purpose could be found from our LinkedIn post: LinkedIn Announcement

Description:

This curriculum introduces Agentic AI systems—AI systems capable of reasoning, planning, tool use, and autonomous decision-making—with a strong focus on business analytics and managerial applications. Students will learn how modern large language models (LLMs) can be orchestrated into multi-step, goal-driven agents using LangChain and LangGraph, and how these agents can be safely deployed to support real-world business decisions.

Unlike traditional predictive or descriptive analytics, agentic AI systems actively interact with data, tools, APIs, and users, adapting their behavior based on context, feedback, and constraints. This course emphasizes designing, evaluating, and governing agent workflows, rather than low-level model training. Students will gain hands-on experience building single-agent and multi-agent systems for tasks such as travel planning, operational optimization, and decision support. The course also addresses risk management, governance, ethics, and human-in-the-loop control, which are critical for enterprise adoption. No prior deep learning background is required. The course assumes familiarity with Python and basic data analytics concepts.