All coursesPhysical • Instructor-led • Beginner to professional

AI is moving fast. Your learning should too.

Past scattered tutorials and one-off prompting. Three physical learning paths — from understanding what agents are, to building workflows that connect to real systems, to thinking about them in production.

Choose your path

Start small.Go deeper when you're ready.

Three programs, one progression — not three disconnected courses. Fees paid on a shorter path can be adjusted against a longer one.

  • Path 013 days

    Agentic AI Starter

    From₹3,999

    Understand • Experience • Spot the opportunity

    Beginners, students, managers and founders working out what agentic AI is actually good for.

    The 3 days in full
  • Path 027 daysMost taken

    Agentic AI Practitioner

    From₹8,999

    Build • Connect • Automate

    Professionals, serious students and developers who want practical depth and something working at the end.

    The 7 days in full
  • Path 0312 days

    Agentic AI Professional

    From₹14,999

    Architect • Orchestrate • Think production

    IT professionals and learners who want real depth in architecture, orchestration and what it takes to ship.

    The 12 days in full
Why our bootcamp

Not another library of recorded videos.

The whole model is guided learning, doubts cleared the moment they appear, and support that outlasts the classroom.

  • 01

    Physical, face to face

    Ask the question the moment it lands. See the explanation again. Nobody gets quietly stuck alone.

  • 02

    Beginner to professional

    Three, seven or twelve days — you pick by where you're starting and how deep you want to go.

  • 03

    Learn until you're confident

    Eligible learners can re-attend once, subject to seat availability and the published terms.

  • 04

    Support after class

    30, 45 or 60 days of continued learning support, depending on the path.

  • 05

    Practitioner-led

    Taught in the context of how this technology actually gets designed, integrated and used inside a business.

  • 06

    A real technical arc

    LLMs, context, RAG, APIs, tools, workflows, memory, orchestration and production thinking.

Path 013 days

Understand the shift

Build a clear mental model of AI, LLMs, agents, knowledge and tools — without getting buried in implementation.

From₹3,999

  • 15–18 learning hours
  • Low coding
  • Beginner friendly
  • 30-day support

Agentic AI Starter

  1. Day 1

    Understand AI & LLMs

    Generative AI, LLMs, tokens, embeddings, context, prompting, hallucinations and the basics of RAG.

  2. Day 2

    Understand AI agents

    Chatbots vs workflows vs agents. Reasoning, planning, memory, APIs, tools and context engineering.

  3. Day 3

    Experience agentic AI

    Knowledge-powered AI, tools, automation and the business cases they actually fit.

Path 027 days

Build & automate

Agent design, RAG, tool calling, APIs and workflow automation — deeper, and still hands-on the whole way.

From₹8,999

  • 35–42 learning hours
  • Low to medium coding
  • The balanced path
  • 45-day support

Agentic AI Practitioner

  1. Day 1

    AI & LLM essentials

    LLMs, tokens, embeddings, context, prompting and where the models stop.

  2. Day 2

    Agentic AI & context engineering

    Agent architecture, objectives, reasoning, system prompts, structured outputs and guardrails.

  3. Day 3

    Build your first agent

    Goal, decision, tool choice, observation, answer — the loop, end to end.

  4. Day 4

    RAG & knowledge-powered AI

    Embeddings, retrieval, semantic search, vector search and grounding.

  5. Day 5

    Tools, APIs & external systems

    REST, JSON, function calling, and wiring an agent into applications that already exist.

  6. Day 6

    Automation & agentic workflows

    Triggers, actions, branching, validation, n8n-style workflows and human checkpoints.

  7. Day 7

    Multi-agent & production foundations

    Specialised agents, handoffs, orchestration, reliability and responsible use.

Path 0312 days

Architect AI systems

From foundations through richer RAG, connected agents, memory and multi-agent orchestration to production thinking.

From₹14,999

  • 60–72 learning hours
  • Medium technical depth
  • The full pathway
  • 60-day support

Agentic AI Professional

  1. Day 1

    AI & LLM essentials

    Generative AI, LLM mechanics, tokens, embeddings, transformers, context and limitations.

  2. Day 2

    Agentic AI foundations

    Goals, reasoning, planning, feedback loops, tools, actions and autonomy.

  3. Day 3

    Prompt & context engineering

    System prompts, structured outputs, few-shot patterns, context design and guardrails.

  4. Day 4

    Building AI agents

    Agent loops, tool schemas, decision logic and external actions.

  5. Day 5

    RAG fundamentals

    Document ingestion, chunking, embeddings, retrieval and grounding.

  6. Day 6

    Knowledge-powered agents

    Vector stores, retrieval quality, metadata and source-aware answers.

  7. Day 7

    APIs, JSON & tool calling

    Structured data, function calling, external services and agent connectivity.

  8. Day 8

    Agentic automation

    Triggers, branching, validation, escalation and AI-enabled workflows.

  9. Day 9

    Memory, state & context

    Working memory, long-term memory, session state and experiences that persist.

  10. Day 10

    Multi-agent systems

    Specialised roles, delegation, handoffs, coordination and orchestration.

  11. Day 11

    Production-ready thinking

    Evaluation, reliability, security, observability, human oversight and cost.

  12. Day 12

    Business & enterprise architecture

    Integration patterns, scalable architecture choices and responsible deployment.

Founding cohort

More than classroom time.

Everything below exists to lower the risk of committing to the first cohort.

  • AI & LLM essentials pre-course

    Start learning the moment you enrol, not the moment the room opens.

  • One free re-attendance

    Rejoin an eligible batch once within six months, subject to seat availability.

  • 30 / 45 / 60 days of support

    Support runs on after the classroom does, and for longer on the longer paths.

  • The resource vault

    Cheat sheets, diagrams, prompt patterns, architecture notes and a curated reading list.

  • Upgrade credit

    Eligible fees carry over when you move Starter → Practitioner → Professional.

  • Priority alumni access

    First invitations to refreshers, advanced sessions and community learning.

Three days shouldn't be the end of it.

Start on the Starter path if you're unsure. Continue into Practitioner or Professional when you want the depth. The upgrade credit is there so the first decision doesn't have to be the big one.

Find the path that fits.

3-day Starter • 7-day Practitioner • 12-day Professional

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