FDE Collective

Lyzr FDE Collective / The course

The world's most comprehensive FDE training program

AI Forward Deployed Engineer.

Ten modules from a model call to a system running in a customer’s estate.

Scope/Build/Harden/Deploy/Own
Engineers working through a production agent build

Every competency is taught on live systems and assessed on shipped work.

100

competencies mapped end to end

10

modules, each a production gate

50+

tools and platforms used hands-on

New here? Start with the Collective.

The path

Five stages. Ten modules. One deployment.

  1. 01

    Scope

    Find the workflow, qualify the value, agree what done means.

    10Discovery, Delivery & Ownership

  2. 02

    Build

    Model behaviour, retrieval, architecture and integrations.

    01Agent Foundations02Knowledge & Retrieval03Agent Architecture04Multi-Agent & Integration

  3. 03

    Harden

    Evals, safety, identity and governance the review will test.

    05Evaluation & Quality06Safety & Security07Data & Governance

  4. 04

    Deploy

    Promote into the customer estate and run it.

    08Deployment & Operations

  5. 05

    Own

    Prove the economics, hand over, earn the expansion.

    09Enterprise Systems & Economics

The complete curriculum

Ten gates between a model call and a system the customer trusts.

Open a module for its ten competencies and the tools you work with.

  1. 01

    LLM behaviour, tokens & context windows

  2. 02

    Model landscape & selection framework

  3. 03

    Reasoning models & thinking budgets

  4. 04

    Reasoning & planning patterns (ReAct, CoT, Reflexion)

  5. 05

    System prompts & enterprise persona design

  6. 06

    Structured outputs, schema enforcement & function calling

  7. 07

    Context engineering: budgeting, compaction & pruning

  8. 08

    Grounding, citations & source attribution

  9. 09

    Prompt optimisation, versioning & rollout control

  10. 10

    Multilingual & regional model choices

Why this module matters: Every failure downstream traces back to a model or context decision made here.

How it is delivered

How it runs.

Format

Self-paced, cohort-supported

Work through the modules on your own schedule, with guided sessions and office hours running alongside.

Pace

10-12 weeks typical

Roughly 5 hours a week for working professionals. Access does not expire, so you can go faster or slower.

Practice

Build in every phase

Each phase ends in a hands-on build against enterprise-shaped constraints, not a quiz.

Capstone

Graded, end to end

One full engagement simulation, scope, build, ship, hand over, reviewed against the certification rubric.

A graded capstone certificate reviewed at a desk

Certification

Assessed on shipped work, not lesson completion.

The capstone follows the full arc, scope, build, harden, deploy, own, and is reviewed against the evidence an enterprise expects before go-live.

Level 1

Associate

You can execute the core patterns with guidance and explain the decisions behind them.

Level 2

Certified

You can deliver the full pattern independently in a production context.

Level 3

Lead

You can design for a novel enterprise problem and mentor a delivery team through it.

Readiness

Is this for you.

This is for you if

  • Comfortable with Python and APIs
  • Has called an LLM API and built a prompt-based app
  • Understands RAG and embeddings conceptually
  • Has used git in a real project

Not yet, if

  • Has never called an API
  • Does not yet know basic Python
  • Has not worked with version control
  • Looking for an introduction to programming rather than a production track

If that is where you are today, a fundamentals track is the better next step. The Academy will still be here.

Self-check

Ten questions. No account, nothing stored.

  • You write Python comfortably without a tutorial open.
  • You have called an LLM API directly, not only through a chat UI.
  • You have shipped something that uses a prompt in production or in a real pilot.
  • You can explain what an embedding is and when retrieval beats fine-tuning.
  • You have built or debugged a RAG pipeline.
  • You use git on real projects with other people.
  • You have integrated a third-party API with authentication and error handling.
  • You have worked inside an enterprise environment with security review.
  • You have owned a system after it went live, not only during the build.
  • You want a credential tied to production work, not lesson completions.

Answer the questions to see where you stand.

Pricing

One price, the whole programme.

No per-module upsell and no certification fee on top. You pay once and keep access to the modules, the partner sessions and the Collective community.

AI FDE Certification

₹96,000one-time, full programme access

  • All 10 modules and 100 mapped FDE competencies
  • Hands-on work across 50+ production tools and platforms
  • Graded capstone and the full agentathon simulation
  • Certification at Associate, Certified or Lead level
  • Access to the FDE Collective community and city chapters

Questions

Before you apply.

The 10-week live cohort, 100 enterprise competencies, weekly simulation-based engagements, 1:1 code reviews, Production FDE Certification, a portfolio of 10 reviewed builds, Lyzr FDE Marketplace access, interview fast-tracks, lifetime community access, Demo Day and graduation in Bengaluru, plus cloud and AI tool credits.