Using AI is easy. Scaling it is not.
Organizations, 2025
McKinsey, State of AI 2025
// cohort 1 · for AI engineers who already ship with LLMs
From AI Engineer to Forward Deployed Engineer.
Take one client account from vague brief to production, in 8 live weeks.
Wed 2nd Dec
8 weeks · 16 live sessions
Wed & Thu · 8 to 11 PM IST
Refund until after session 2
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Dhaval Patel/fit-in/192x192/554853/avatar/68271fdc4009d.png)
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Karandeep Singh
A sample ticket from the cohort: FDE-04, week 4, AI build. Knowledge graphs with Neo4j and hybrid RAG over scattered supply chain events. You ship Trace assistant v1.
TGTraceGrid · client brief
Your first client needs a day to trace one contaminated batch. You make it seconds.
- YouTube subscribers
- 1.5M+
- engineers in our AI Engineering cohorts
- 878
- from 540+ learner reviews
- 4.9★
- startups and enterprises advised
- 55+
// 01 · why this skill
Companies need engineers who can deploy AI.
FDE job posts want more than code.
Share of about 1,000 live FDE posts
Perspective AI, Jun 2026
You already have the first half. Cohort 1 builds the second.
// 02 · the 8 weeks
What you learn and ship, week by week.
ai-engineer.md → fde.md
what changes in 8 weeks
@@ where most AI engineers are today → where FDE roles are hired @@- Works in the demo, breaks on client data+ Answers over messy, late-arriving client data- Someone else handles access and deploys+ Ships behind SSO, with eval gates in CI- You hear requirements secondhand+ You run discovery and defend the SOW
Scroll to climb
what you can own, week by week (illustrative)
W1
Landing the account
You understand the role, the client and the domain.
W2
Scoping the real problem
You ship integrations for enterprise data.
W3
Getting through the door
You earn secure, tenant-scoped access.
W4
Making sense of the mess
You turn messy events into a knowledge graph.
W5
Inherit and prioritise
You inherit legacy code and make it production-worthy.
W6
Scale and trust
You design for scale, late data and trustworthy AI.
W7
Ship and prove
You ship through eval gates and prove the ROI.
W8
Operate and launch
You run the incident, hand off and launch.
// 03 · your project
Your project: one real client, start to finish.
// TraceGrid
Your first client needs a day to trace one contaminated batch. You do it in seconds
Fictional companies, real problems: the GS1 EPCIS standard, legacy XML feeds and messy partner data.
# tracegrid-account · a message opens every session
-
Tony SharmaVP Product -
Steve RajhansHead of Platform, TraceGrid -
Miles MalhotraGS1 Compliance, TraceGrid -
Bruce HariyaliCustomer Solutions, TraceGrid -
Natasha RaiCTO, AtliQ AI -
Peter PandeyProduct Lead, AtliQ AI
1AI trace assistant in production
16live sessions, 3 hours each
1launch review, full panel
// 04 · what you take with you
What you walk away with.
-
A signed scope
Week 2 -
Tenant-bound access
Week 3 -
A deployed AI trace assistant
Week 4 -
Inherited code, stabilised
Week 5 -
A pipeline with eval gates
Week 7 -
A launch review
Week 8
No fake job guarantees. Just proof.
// 05 · verified reviews
What engineers from earlier cohorts say.
878 engineers across AI Engineering cohorts 1 to 3from 2 years of experience to principal engineers
★★★★★
“The course is thoughtfully structured and delivers real value. If you follow it with the right intent and rigour, the transition to AI Engineering genuinely becomes easier. What I appreciate most: there's no spoon-feeding. They teach the fundamentals and give you the right pointers, so you learn to figure things out yourself, exactly the skill an AI engineer needs.”
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Asish Kumar MishraAI Engineering, Cohort 2
★★★★★
“As a software engineer with over two decades of experience, stepping into a new domain can sometimes be challenging, but my experience with the Codebasics AI bootcamp has been phenomenal. The instructors broke down complex concepts into explanations that were incredibly easy to understand. What really set this course apart was the focus on hands-on experience. Writing the capstone project completely from scratch solidified my learning in a way theory alone never could. I also really appreciated the soft skill sessions, which provided an unexpected but highly valuable takeaway.”
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Dinakara ShettyAI Engineering, Cohort 1
★★★★★
“It covers some fairly complex AI engineering concepts, but they are explained in a simplified and practical way. More importantly, there is a strong focus on actually implementing what we learn, rather than just understanding the theory. We had people with 2+ years of experience, 5+ years of experience, professionals with 15+ years including solution architects, people already working with AI, and some who were completely new to AI. That mix made the discussions much more interesting.”
/fit-in/60x60/uploads/testimonials/703740/thumbnail/6a83015263853sunny-pic.jpg){kind=small}
Sunny DubeyAI Engineering, Cohort 2
★★★★★
“As a software engineer, I especially liked how the program was organized step by step, starting from LLM fundamentals and embeddings, then moving into RAG, agents, guardrails, evaluations, LangGraph, observability, and deployment. What makes this bootcamp different is the strong focus on real-world AI engineering instead of only theory.”
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Monish MamillaAI Engineering, Cohort 1
// FDE cohort 1
The first review in this column could carry your name.
Reviews open after the launch review in week 8.
Straight from the live sessions
What engineers typed in the cohort chat, unedited.
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// 06 · who is in the room
Who teaches you.
// 07 · compare
How this cohort compares.
| Self-study | A generic AI course | This cohort | |
|---|---|---|---|
| Live, with instructors | No | Rarely | 16 live sessions |
| Real client work | Toy demos | A clean sandbox | One messy client account |
| Enterprise systems | On your own | Rarely taught | Built and reviewed weekly |
| Product and client skills | None | Not covered | Practised with a client panel |
| You leave with | Tutorials | A certificate | An engagement to show |
// 08 · fees and dates
Cohort 1 starts 2nd December.
Inner Circle · until Sat 28th Nov
US$720Then · until Wed 9th Dec
US$960- 16 live sessions over 8 weeks
- One client account, end to end
- Weekly written feedback on your Build Ledger
- Full refund until the end of the day after your first 2 live sessions
// next milestone
Inner Circle closes in
00days
00hours
00min
00sec
US$720 now. US$960 after.
Launch sequence
every date is real
- Enrollment opensThu 12 Nov
- Inner Circle priceUS$720 until Sat 28 Nov
- Cohort 1 startsWed 2 Dec, 8 PM IST
- Enrollment closesWed 9 Dec
- Launch reviewWeek 8, full client panel
// 09 · questions
Common questions.
When are the live sessions?
Planned: Wednesday and Thursday, 8 to 11 PM IST, starting 2nd December. We’re finalising the timing based on learner feedback. Final timings will be confirmed by 25th Nov 2026, and we’ll inform everyone on the waitlist.
When does Cohort 1 start?
On Wednesday, 2nd December 2026. Enrollment opens on Thursday, 12th November.
Is the client real?
TraceGrid and AtliQ AI are fictional companies. The problems are real: the GS1 EPCIS standard, legacy XML feeds and messy partner data.
Do we learn how to take a prototype and make it scalable?
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.
What do I walk away with?
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.
Who is this for?
AI engineers who already ship with LLMs. Confident in Python but new to AI? Start with our AI Engineering cohort: https://codebasics.io/bootcamps/ai-engineering-bootcamp-software-engineers-4
I can code in Python but I'm not confident in AI yet. Can I join?
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.
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.
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.
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.
How do I get help between sessions?
Get your doubts clarified by mentors and our support team through our Discord community.
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.
// cohort 1 · starts Wednesday, 2nd December
Eight weeks from now, you could be the engineer the client asks for by name.
$ fde enroll --cohort 1
✓ enrolled · cohort 1 starts 2nd December
Full refund until the end of the day after your first 2 live sessions.
