Agentic AI — Build Production-Grade AI Agents from Scratch

Master AI agents end-to-end. RAG, LangGraph, MCP, A2A, HITL & more. 3 live deliverables · Demo Day.

English
Certification
... 1498 Learners
... 7 Weeks

Course Overview

Go from prompt engineering to shipping enterprise-grade AI agents — in 7 weeks.

This is not a GenAI overview course. Every single session is agentic-first — built for engineers and technical professionals who want to design, build, deploy, and maintain production AI agent systems that actually work in enterprise environments.



🧱 What you'll master, week by week:

  • Week 1: GenAI foundations, prompt engineering I–III, adversarial prompting & defence patterns
  • Week 2: Memory systems, vector databases (Pinecone, Weaviate, Chroma), RAG pipelines & RAGAS evaluation
  • Week 3: Tool use & function calling, A/B testing for AI, agentic system design & org readiness
  • Week 4: Orchestration, LangChain, LlamaIndex, LangGraph (stateful agents), memory architectures, multimodal agents
  • Week 5: MCP & A2A protocols, human-in-the-loop, cost optimisation, token management, LoRA/PEFT fine-tuning
  • Week 6: LLM-as-judge benchmarking, EU AI Act compliance, security & red teaming, LangSmith observability
  • Week 7: Two live industry agent builds (finance + healthcare), capstone workshop, dress rehearsal, Final Demo Day


🛠️ 3 deliverables you'll graduate with:

  1. Industry Agent I — Financial services compliance checking agent with tool use, memory, HITL and LangSmith monitoring
  2. Industry Agent II — Healthcare multi-agent pipeline with orchestrator + specialist workers, A2A, RAG and multimodal inputs
  3. Final Capstone — Your own enterprise-grade agentic AI solution, presented live on Demo Day

👤 Who this is for: Engineers, developers and technical professionals who already have some coding experience and want to move into agentic AI — fast, with real production skills.

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Course curriculum

Flexible batches for you

Pick a start date that fits your schedule.

Requirment

  • Comfortable with Python — ability to write functions, use APIs, and work with JSON

  • Basic understanding of how LLMs work (e.g. have used ChatGPT or similar)

  • Laptop or desktop with internet access (Windows, Mac or Linux)

  • Commitment for 7 weeks

  • Google account for Colab access; API keys for OpenAI or Anthropic (free tiers sufficient for most labs)

Outcomes

  • Design and deploy production-grade AI agent systems from scratch

  • Graduate with a final capstone and a verified AiMinds360 certificate

Instructor

...
Supreeth Bandi

  • ... 0 Student
  • ... 2 Courses

Supreeth Reddy is a Senior Gen AI Architect, helping engineering teams harness the power of AI. With a background spanning AI research, data science, and entrepreneurship, he has built everything from real-time AI-powered sleep-tech products as Co-Founder of Serene AI to CNN-based robotics classifiers at Worcester Polytechnic Institute. A Best Paper award winner at the IJCCI Conference in Portugal, Supreeth brings both research depth and hands-on product experience to every problem he tackles.

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...
Aiminds360

  • ... 0 Student
  • ... 2 Courses

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299 $

350 $
... Buy Now Signup to Download Curriculum
  • ...

    Learners

    1498
  • language

    English
  • ...

    Duration

    7 Weeks
  • Level

    intermediate
  • ...

    Expiry period

    Lifetime
  • ...

    Certification

    Included
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