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DATAVERSE
6 months

Agentic AI: build things that act

Go from writing your first line of Python to building AI agents that plan, use tools and finish real work.

See modules
Length
6 months
Starts from
Zero

Is this for you?

It's for you if

  • You'd rather build an AI tool than just use one.
  • You enjoy fiddling with things until they work.
  • You're ready for six months that get more technical as they go.

Pick something else if

  • You'd rather analyse and explain than build. Look at Business Analytics
  • You want results without writing code. This one is hands-on from week one.

Where this can take you.

Roles this program prepares you for. No salary promises, just what the work is.

  • AI Application Developer

    You turn a language model into a product people can use: a chat assistant, a search tool, an internal helper.

    • Python
    • LLM APIs
    • RAG

  • AI Automation Engineer

    You find repetitive work in a business and build agents that take it over safely.

    • Agents
    • Workflows
    • MCP

  • Junior LLM Engineer

    You test, measure and improve how an AI system answers, one failure at a time.

    • Prompting
    • Evaluation
    • Vector search

Swipe for all three

Titles vary by company. In the conversation we'll tell you honestly which of these fit your background.

Ten modules. One at a time.

This is the map. The week-by-week plan, tools and projects come when you ask for them.

  1. 01

    Python for building things

  2. 02

    How language models work, and where they fail

  3. 03

    Prompting that holds up

  4. 04

    Working with LLM APIs

  5. 05

    Search by meaning: embeddings and vector databases

  6. 06

    RAG: answering from your own documents

  7. 07

    Your first agent: tools and function calling

  8. 08

    Connecting agents to the world with MCP

  9. 09

    Teams of agents: workflows, memory and planning

  10. 10

    Capstone: an agent that finishes a real task

Want the full week-by-week plan?
Tools, projects, schedule and fees. We'll send it on WhatsApp.

Tools you'll use

  • Python
  • LLM APIs
  • LangChain
  • LangGraph
  • MCP
  • Hugging Face
  • Ollama
  • FastAPI

What you'll make.

A support agent that reads an order, checks the policy and decides, step by step.

Refund agent · run 14
  1. Goal“My order came 50 minutes late. Can I get a refund?”
  2. Look up the orderget_order(id) delivered 52 min after the promised time
  3. Check the policysearch_policy("late delivery") over 45 min qualifies
  4. DecideRefund approved. Amount is above the limit, so a person confirms it.

Illustrations of capstone work, drawn with practice data. Not screenshots of client or company systems.

Problems from brands you already use.

Three of the cases you'll work through in this program.

  • ZomatoAgentic AI

    Can an agent handle a refund request?

    Build a support agent that reads the order, checks the policy and decides, with a human as backup.

    • Tool calling
    • RAG
    • Guardrails
  • MakeMyTripAgentic AI

    Can it plan a weekend in Goa on a budget?

    A planning agent that searches, compares and puts together a trip that fits the money you have.

    • Multi-agent
    • Planning
    • APIs
  • FlipkartAgentic AI

    Can it answer ten thousand product questions overnight?

    A catalogue assistant that answers from product documents and says so when it doesn't know.

    • RAG
    • Vector search
    • Evaluation

Swipe for all three

Learning case studies built on public information and practice datasets. DATAVERSE is not affiliated with these companies.

What happens before your first interview.

Here is the work we do with you before you apply anywhere.

  1. From month 1

    A LinkedIn worth opening

    Profile rebuilt with a mentor, one section at a time.

  2. Every module

    Projects, reviewed

    Each one checked and sent back until it's portfolio ready.

  3. Final stretch

    Mock interviews

    Practice rounds with feedback you can act on the same day.

  4. When you're ready

    Introductions

    We share openings and refer you where your work fits.

Straight answers.

What is agentic AI, in plain words?
A chatbot answers. An agent does. It breaks a task into steps, uses tools like search or a database, checks its own work and keeps going until the job is done. You learn to build those.
I've never coded. Is this too advanced for me?
It starts with Python from zero, so no. It does get technical, and you'll need patience when things break. If that sounds fun rather than frightening, you'll be fine.
Do I need a powerful laptop?
No. A normal laptop and a steady internet connection are enough. The heavy lifting happens on hosted models.
Do you guarantee a job?
No, and be careful with anyone who does. We prepare you properly, review your work, practise interviews with you and introduce you where you fit. The job is yours to win.

Ready when you are.

Ask for the full plan for Agentic AI. If it's not the right fit, we'll say so.