Course Overview
This practical program includes 50 hours guided training + 25 hours assignments and project work. Learn through guided modules, hands-on activities and a capstone project.
Agent Foundations
Define agent goals, instructions, tools, boundaries and success criteria.
Tools, State & Retrieval
Develop tool-using execution loops with APIs, memory, knowledge grounding and task planning.
Reliable Deployment
Apply approval gates, security, evaluation, logging and monitoring to an end-to-end agent project.
Who Can Join?
Students and working professionals interested in practical AI and automation skills. Speak with our team about prerequisites, upcoming batches and the right learning path for you.
