LIVE FDE Bootcamp for AI Engineers

Starts on 2nd Dec 1190+ learners across 7 live cohorts

From AI Engineer to Forward Deployed Engineer in 8 Weeks

Cohort 1 · Starts Wednesday, 2nd Dec, 2026. Most enterprise AI stalls between the demo and production. Forward Deployed Engineers close that gap. In eight live weeks, you take one client account from a vague brief to a deployed AI system: discovery, a signed SOW, a security review, a trace assistant in production and a launch review in front of the client panel.

Classes are tentatively planned for Wednesdays and Thursdays, from 8 PM to 11 PM IST. We’re finalising the days and timings based on learner feedback and will inform everyone on the waitlist once confirmed.

8

Weeks


16

Live Sessions


1

Client Account

1

Launch Review


~19x

FDE Job Postings in India, YoY


+130%

FDE Demand in India

LIVE FDE Bootcamp for AI Engineers
US$720 US$960 after 28th Nov · Save US$240

Created by :

Dhaval Patel, Siddhant Pandey & Karandeep Singh
Join

Join a cohort of AI engineers who already ship with LLMs

Build

Build one client's AI system, from brief to production

Ship

Ship it past a security review, then lead the launch review

We email you once the enrollments open.

From AI Engineer to Forward Deployed Engineer in 8 Weeks

Cohort 1 · Starts Wednesday, 2nd Dec, 2026. Most enterprise AI stalls between the demo and production. Forward Deployed Engineers close that gap. In eight live weeks, you take one client account from a vague brief to a deployed AI system: discovery, a signed SOW, a security review, a trace assistant in production and a launch review in front of the client panel.

Classes are tentatively planned for Wednesdays and Thursdays, from 8 PM to 11 PM IST. We’re finalising the days and timings based on learner feedback and will inform everyone on the waitlist once confirmed.

8

Weeks


16

Live Sessions

1

Client Account


1

Launch Review

~19x

FDE Job Postings in India, YoY


+130%

FDE Demand in India

Our Promise: In 8 weeks, this is who you become

  • 100% LIVE: 16 sessions, every Wednesday & Thursday. Real-time Q&A and doubt clearing, and every session is recorded.

  • One real client, start to finish: You join AtliQ AI as an FDE and take TraceGrid from a vague brief to an AI trace assistant in production

  • Taught by Dhaval Patel, Siddhant Pandey and Karandeep Grover, whose AtliQ Technologies has advised 55+ startups and enterprises

  • Fictional companies, real problems: Legacy XML feeds and messy, late-arriving partner data

  • Run discovery yourself and defend the SOW, instead of hearing requirements secondhand

  • Get tenant-bound access through a skeptical platform team: OAuth, SSO, RBAC and a real security review

  • Answer questions over messy client data with knowledge graphs (Neo4j) and hybrid RAG, every answer traced to a real event

  • Inherit an undocumented prototype and stabilise it with characterization tests, tech-debt triage and ADRs, using AI to read the code

  • Scale to 100x pilot volume with queues, retries and multi-tenancy, backed by a load test and SLOs

  • Ship behind SSO with eval gates in CI, and choose the right deployment: multi-tenant SaaS, customer VPC or on-prem

  • Practise the customer-facing half of the job with a six-person panel: VP Product, Head of Platform, GS1 compliance, customer solutions, your CTO and your Product Lead

  • Weekly written feedback on your pod's Build Ledger, ending in a launch review in front of the full client panel.

Overview

What you'll learn in
this LIVE FDE Bootcamp

Week-1: Landing the account

Discovery

  • Session 1 – Kickoff: the FDE role

    The FDE role · Why AI stalls between demo and production · The TraceGrid account

    Output: Your first look at the client account


  • Session 2 – Discovery interviews

    First discovery interviews with the client team · Assumptions log

    Output: Discovery notes

  • Session 3 – Enterprise integration

    REST, SOAP and webhooks · A legacy XML feed · Messy partner data

    Output: Connections to the client’s real systems


  • Session 4 – Scoping the real problem

    Writing the SOW · Holding scope when the client tries to expand it

    Output: A signed SOW

  • Session 5 – Identity and access

    OAuth and SSO · Role-based access · Tenant isolation

    Output: SSO and role-based access, end to end


  • Session 6 – The security review

    A security review with a platform head who trusts no vendor · Threat model

    Output: Tenant-bound access

  • Session 7 – Knowledge graphs

    Knowledge graphs with Neo4j · Modelling supply chain events · Enterprise Ontology

    Output: A graph over the client’s events


  • Session 8 – Hybrid RAG

    Hybrid RAG over scattered, late-arriving events

    Output: Trace assistant v1

  • Session 9 – Inheriting code

    Reading an undocumented prototype · Codebase map, tests and ADRs · Triage the tech debt

    Output: A stabilised codebase


  • Session 10 – Product thinking

    Writing the PRD · A Now, Next, Later roadmap

    Output: PRD and roadmap

  • Session 11 – Scale

    Queues and retries · Multi-tenancy at 100x pilot volume

    Output: A load test at 100x pilot volume


  • Session 12 – Trust

    AI UX and governance · SLOs

    Output: Load test and SLOs

  • Session 13 – Ship it

    Docker and Kubernetes · CI with eval gates · Shadow mode and rollout runbook

    Output: A rollout pipeline with eval gates


  • Session 14 – Prove it

    The ROI story for your CTO

    Output: ROI one-pager

  • Session 15 – Operate

    Game day · A blameless postmortem · The handoff

    Output: Runbooks and a postmortem


  • Session 16 – Launch review

    Your system, presented to the full TraceGrid panel

    Output: The launch review

Learn From

Your Instructors

Dhaval Patel

Dhaval Patel

Founder, Codebasics · Ex-NVIDIA

Founder, Codebasics. Ex-NVIDIA and Bloomberg. Teaches live in this cohort.

Siddhant Pandey

Siddhant Pandey

AI Research Engineer, Codebasics · Google Developer Expert

6+ Years in AI & Development. Core Contributor of EPCIS 2.0 Standard

Karandeep Singh

Karandeep Singh

CEO, AtliQ Technologies · Fractional CAIO

Has advised 55+ startups and enterprises on AI, tech and product. Brings the problem-first mindset clients expect from the engineer in the room.

Hear It From

Our Happy Learners

Our content is rated 4.9/5 from 16817+ Learners

The Codebasics Promise

Premium Training, Without The Premium Price.

Other paths can work. Here is exactly what you get from each.

What you get Self-study Other live bootcamps Our live cohort
Live, mentor-led sessions 16 live sessions
Real client work Rarely Toy demos One client account, end to end
Enterprise systems (SSO, security reviews, production deploys) On your own Rarely taught
Product and client skills (discovery, SOW, PRD) Not covered
What you walk away with Tutorials A certificate A client engagement you can defend
Price Your time Usually far higher US$720

May we help you?

Frequently Asked
Questions

Q.1 When are the live sessions?

Tentatively planned for Wednesdays and Thursdays, 8 PM to 11 PM IST, from 2nd December, with one systems session and one product and client session each week. Final days and timings will be confirmed based on learner feedback.

On Wednesday, 2nd December 2026. Enrollment opens on Thursday, 12th November.

TraceGrid and AtliQ AI are fictional companies. The problems are real: the GS1 EPCIS standard, legacy XML feeds and messy partner data.

Yes. You integrate your AI product end to end with the client's systems, then scale it: queues, retries and multi-tenancy at 100x pilot volume, with a load test and SLOs.

A signed scope, tenant-bound access, a deployed AI trace assistant, inherited code you stabilised, a pipeline with eval gates and a launch review in front of the full client panel.

Q.1 Who is this for?

AI engineers who already ship with LLMs and want to own what they ship inside a client's business.

This cohort assumes you are familiar with AI concepts. If you can code in Python but are not confident in AI, we recommend our AI Engineering cohort first.

Q.1 Do you guarantee a job?

No. We don't make fake job guarantees. You leave with a full client engagement you can walk an interviewer through.

Q.1 What is the inner circle price, and when does it close?

₹45,000 until Saturday, 28th November 2026. After that it’s ₹60,000 until enrollment closes on Wednesday, 9th December.

Q.1 What's the refund policy for Cohort 1?

You can get a full refund, no questions asked, until the end of the day after your first 2 live sessions scheduled after enrolling. The refund window is based on the two live sessions scheduled after your enrollment, not on whether you attended them.

Q.1 How do I get help between sessions?

Every week your pod submits a Build Ledger and the instructors reply in writing.

Q.1 What system configuration do I need?

Recommended:

Windows
- OS: Windows 11
- Processor: Intel Core i7 (10th Gen+) or AMD Ryzen 7 (4th Gen+)
- RAM: 8GB minimum, 16GB recommended
- Storage: 512GB SSD strongly recommended

Mac
- OS: macOS Sequoia (15) or newer
- Processor: Apple Silicon (M1 or newer)
- RAM: 8GB minimum, 16GB recommended
- Storage: 512GB SSD strongly recommended

You will run Docker containers and a local graph database during the build weeks.

Q.1 When are the live sessions?

Tentatively planned for Wednesdays and Thursdays, 8 PM to 11 PM IST, from 2nd December, with one systems session and one product and client session each week. Final days and timings will be confirmed based on learner feedback.

On Wednesday, 2nd December 2026. Enrollment opens on Thursday, 12th November.

TraceGrid and AtliQ AI are fictional companies. The problems are real: the GS1 EPCIS standard, legacy XML feeds and messy partner data.

Yes. You integrate your AI product end to end with the client's systems, then scale it: queues, retries and multi-tenancy at 100x pilot volume, with a load test and SLOs.

A signed scope, tenant-bound access, a deployed AI trace assistant, inherited code you stabilised, a pipeline with eval gates and a launch review in front of the full client panel.

Q.1 Who is this for?

AI engineers who already ship with LLMs and want to own what they ship inside a client's business.

This cohort assumes you are familiar with AI concepts. If you can code in Python but are not confident in AI, we recommend our AI Engineering cohort first.

Q.1 Do you guarantee a job?

No. We don't make fake job guarantees. You leave with a full client engagement you can walk an interviewer through.

Q.1 What is the inner circle price, and when does it close?

₹45,000 until Saturday, 28th November 2026. After that it’s ₹60,000 until enrollment closes on Wednesday, 9th December.

Q.1 What's the refund policy for Cohort 1?

You can get a full refund, no questions asked, until the end of the day after your first 2 live sessions scheduled after enrolling. The refund window is based on the two live sessions scheduled after your enrollment, not on whether you attended them.

Q.1 How do I get help between sessions?

Every week your pod submits a Build Ledger and the instructors reply in writing.

Q.1 What system configuration do I need?

Recommended:

Windows
- OS: Windows 11
- Processor: Intel Core i7 (10th Gen+) or AMD Ryzen 7 (4th Gen+)
- RAM: 8GB minimum, 16GB recommended
- Storage: 512GB SSD strongly recommended

Mac
- OS: macOS Sequoia (15) or newer
- Processor: Apple Silicon (M1 or newer)
- RAM: 8GB minimum, 16GB recommended
- Storage: 512GB SSD strongly recommended

You will run Docker containers and a local graph database during the build weeks.

Join the waitlist to be notified when enrollments open

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