Agentic AI Development Course in Kochi: What You Actually Build in 4 Months

A chatbot answers a question. An agent gets a job done — it plans the steps, calls tools and APIs, checks the results and keeps going until the task is complete. Agentic AI Development is our focused 4-month course on building those systems properly, so they're reliable enough for real use.

The six modules

• Foundations of Agentic AI — what makes a system agentic, reasoning and planning loops, LLMs vs RAG vs agents, and an overview of agent frameworks
• Tool Use & Function Calling — structured outputs, connecting agents to real APIs, designing safe tool interfaces and handling tool errors
• Memory & Context — short- and long-term memory, context window management, vector memory and state across sessions
• Multi-Agent Systems — orchestration, task delegation, agent-to-agent communication and coordinator/worker architectures
• Reliability & Evaluation — evaluating agent behavior, guardrails and safe failure modes, cost and latency, and human-in-the-loop design
• Capstone & Career Prep — a full agentic product, portfolio presentation, resume for agentic AI roles and mock interviews

What your capstone looks like

You'll build a working autonomous agent that plans a task, uses at least one real tool or API, and handles failure cases gracefully. In interviews, that stands out far more than a single-response chatbot demo.

Who it's for

This is an intermediate course that needs basic Python. It's open to Plus Two students and graduates, and works best after or alongside AI Engineering & Automation. Complete beginners usually start with Python Full-Stack with AI or AI Engineering & Automation first — or choose the 1-year Advanced Diploma, which takes you from programming foundations all the way to agents, Claude and ERP/CRM automation.