
Created by
Prasad Dimba Anandappa
Java, Python, SQL & System Design Instructor

This course contains the use of artificial intelligence.22 animated lessons · ~2 hours 43 minutes · zero agent experience needed. Go from 'what is an agent?' to shipping production-grade AI agents — and answering the interview questions that come with them.You will build the systems real teams ship: the core agent loop, tool use and function calling, retrieval (RAG) with grounded answers and refusal behaviour, Model Context Protocol (MCP) servers built and tested end to end, human-in-the-loop approvals that survive failure, and multi-agent crews with budgets, traces and evals. Every number in this course comes from code that was actually run — eval scores, token costs, success rates — shown on screen, never invented.Includes: 4 downloadable PDF books (code examples + practice exercises with solutions for every lecture), quizzes and coding exercises throughout, and a full interview track — agent loop, RAG, multi-agent design and a senior playbook — so you finish able to build agents AND talk about them like an engineer who has shipped them.Every project in this course is built the way it would be built on a real team: requirements first, code you can run yourself, tests that prove it works, and a production checklist before anything ships. You will debug real failure modes — runaway loops, runaway costs, tools that fail, agents that refuse — and learn the patterns senior engineers use to keep agents safe, observable, and affordable in production.
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