Our Promise: In 8 weeks, this is who you become
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100% LIVE: 16 sessions, every Wednesday & Thursday. Real-time Q&A and doubt clearing, and every session is recorded.
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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
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Taught by Dhaval Patel, Siddhant Pandey and Karandeep Grover, whose AtliQ Technologies has advised 55+ startups and enterprises
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Fictional companies, real problems: Legacy XML feeds and messy, late-arriving partner data
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Run discovery yourself and defend the SOW, instead of hearing requirements secondhand
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Get tenant-bound access through a skeptical platform team: OAuth, SSO, RBAC and a real security review
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Answer questions over messy client data with knowledge graphs (Neo4j) and hybrid RAG, every answer traced to a real event
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Inherit an undocumented prototype and stabilise it with characterization tests, tech-debt triage and ADRs, using AI to read the code
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Scale to 100x pilot volume with queues, retries and multi-tenancy, backed by a load test and SLOs
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Ship behind SSO with eval gates in CI, and choose the right deployment: multi-tenant SaaS, customer VPC or on-prem
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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
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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
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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
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Session 2 – Discovery interviews
First discovery interviews with the client team · Assumptions log
Output: Discovery notes
Week-2: Scoping the real problem
Integration and SOW
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Session 3 – Enterprise integration
REST, SOAP and webhooks · A legacy XML feed · Messy partner data
Output: Connections to the client’s real systems
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Session 4 – Scoping the real problem
Writing the SOW · Holding scope when the client tries to expand it
Output: A signed SOW
Week-3: Getting through the door
Security
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Session 5 – Identity and access
OAuth and SSO · Role-based access · Tenant isolation
Output: SSO and role-based access, end to end
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Session 6 – The security review
A security review with a platform head who trusts no vendor · Threat model
Output: Tenant-bound access
Week-4: Making sense of the mess
AI build
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Session 7 – Knowledge graphs
Knowledge graphs with Neo4j · Modelling supply chain events · Enterprise Ontology
Output: A graph over the client’s events
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Session 8 – Hybrid RAG
Hybrid RAG over scattered, late-arriving events
Output: Trace assistant v1
Week-5: Inherit and prioritise
Product
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Session 9 – Inheriting code
Reading an undocumented prototype · Codebase map, tests and ADRs · Triage the tech debt
Output: A stabilised codebase
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Session 10 – Product thinking
Writing the PRD · A Now, Next, Later roadmap
Output: PRD and roadmap
Week-6: Scale and trust
Scale
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Session 11 – Scale
Queues and retries · Multi-tenancy at 100x pilot volume
Output: A load test at 100x pilot volume
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Session 12 – Trust
AI UX and governance · SLOs
Output: Load test and SLOs
Week-7: Ship and prove
Deploy
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Session 13 – Ship it
Docker and Kubernetes · CI with eval gates · Shadow mode and rollout runbook
Output: A rollout pipeline with eval gates
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Session 14 – Prove it
The ROI story for your CTO
Output: ROI one-pager
Week-8: Operate and launch
Launch review
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Session 15 – Operate
Game day · A blameless postmortem · The handoff
Output: Runbooks and a postmortem
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Session 16 – Launch review
Your system, presented to the full TraceGrid panel
Output: The launch review
Learn From
Your Instructors
Dhaval Patel
Founder, Codebasics · Ex-NVIDIA
Founder, Codebasics. Ex-NVIDIA and Bloomberg. Teaches live in this cohort.
Siddhant Pandey
AI Research Engineer, Codebasics · Google Developer Expert
6+ Years in AI & Development. Core Contributor of EPCIS 2.0 Standard
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
Hello there again! It's me, Javidan Akbarov. If you've come across my
comments before (on ML, Math & Stats, Python, SQL), then you know me.
I'm doing these courses as part of the 'Gen AI & Data Science Bootcamp:
With Practical Job Placement Support & Virtual Internship'.
I've finally finished the Deep Learning module as well! I really enjoyed
this course - the explanation of topics was incredibly creative. Just
focus, take notes, and you're set. This course, just like the previous
ones, doesn't exhaust you with unnecessary information, but delivers the
crux and essence of each topic.
Big fat 5 stars from me! ⭐⭐⭐⭐⭐
Thank you, Mr. Dhawal Patel!
Next stop: NLP. Let's goooooooo! 🚀
Landed a Job
Thank you Dhaval Sir and the entire Codebasics team for coming up with such courses which are super rare to find. Totally worth taking it. All the concepts were taught very easily and very intuitively so that we can grasp and digest the fundamentals within no time. The best part I like about the courses on codebasics.io is that they try to replicate real industry experiences in the form of Peter Panday and Tony Sharma. Well done. Keep up the good work. Will take every course from codebasics.io which is relevant for me. Cheers !!
Landed a Job
The 'AI for Everyone' course by Codebasics offers a comprehensive and accessible introduction to AI. Instructor Dhaval Patel's expertise shines through in his clear explanations and engaging teaching style. The course strikes a great balance between theory and practical examples, making it suitable for beginners. Its structured approach covers everything from basic concepts to advanced topics like machine learning algorithms and neural networks. High-quality production values further enhance the learning experience, making it easy for learners to focus and master the material.
AI for Everyone
I just wanted to take a moment to genuinely appreciate the SQL course by Dhaval Sir on Codebasics. Honestly, learning SQL always felt a little dry and technical to me — but this course completely changed that.
The way Dhaval Sir explains concepts using real-world business problems is just amazing. Instead of just writing queries, you actually think like a data analyst, solving real challenges that companies face. It’s not just about syntax; it’s about understanding how SQL is used in the real world, and that made the whole learning journey so much more interesting and practical.
A huge thanks to Dhaval Sir for creating a course that doesn’t just teach SQL, but makes you actually enjoy learning it. Grateful for the effort and passion you’ve put into this course. It truly makes a difference!
Landed a Job
Best course I've found till now. I am studying all of these math & stats topics after 14 years of engineering, but the way Dhaval sir explains it won't make you feel the gap. He is a wonderful teacher. Thank you Dhaval Sir.
The exercises given after every topic will help you understand the topic in a better way.
I highly recommend this course. Go for it without a doubt if you know a little bit of Python.
Math & Stats
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?
Q.2
When does Cohort 1 start?
Q.3
Is the client real?
Q.4
Do we learn how to take a prototype and make it scalable?
Q.5
What do I walk away with?
Q.1
Who is this for?
Q.2
I can code in Python but I'm not confident in AI yet. Can I join?
Q.1
Do you guarantee a job?
Q.1
What is the inner circle price, and when does it close?
Q.1
What's the refund policy for Cohort 1?
Q.1
How do I get help between sessions?
Q.1
What system configuration do I need?
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?
Q.2
When does Cohort 1 start?
Q.3
Is the client real?
Q.4
Do we learn how to take a prototype and make it scalable?
Q.5
What do I walk away with?
Q.1
Who is this for?
Q.2
I can code in Python but I'm not confident in AI yet. Can I join?
Q.1
Do you guarantee a job?
Q.1
What is the inner circle price, and when does it close?
Q.1
What's the refund policy for Cohort 1?
Q.1
How do I get help between sessions?
Q.1
What system configuration do I need?
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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