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AI Engineer Interview & Portfolio Kit
Everything a developer needs to prepare for AI/GenAI interviews and build a portfolio that stands out — in one focused kit.
A done-for-you toolkit that turns the free roadmap into interview-ready projects: the specs, the diagrams, the interview answers, and the walkthroughs you can work through around a full-time job.
Included formats
Instant access after checkout. Secure payment via Razorpay.
- Launch
- August 2026
- Access
- Join the waitlist → early-access email at launch
- Price
- $39 launch price ($59 after launch)
- Format
- Workbook, GitHub templates, diagrams, video
The gap that keeps developers out of AI roles isn't theory — it's the distance between a working demo and a system you can ship and defend. The kit closes that gap: real project specs, the diagrams and answers interviewers probe, and the walkthroughs that show how the pieces fit — so you spend your time building, not assembling a curriculum.
- You already write code and want a clear, practical path into AI engineering.
- You're preparing for AI Engineer, GenAI Developer, Agentic AI Engineer, or Forward Deployed Engineer interviews.
- You want portfolio projects you can actually defend, not toy notebooks.
- You'd rather adapt real, production-shaped templates than start from a blank page.
Portfolio project assets
- 5 portfolio project specs with scope, stack, and README templates.
- Architecture diagrams you can adapt and defend.
Interview prep
- 100+ AI / GenAI interview questions with sample answers.
- RAG and agent system-design prompts and reference diagrams.
Career packaging
- Resume bullets and a project talking-points script.
- A 90-day study plan built around a full-time job.
Foundations & walkthroughs
- The AI Engineer Roadmap (extended edition).
- Video walkthroughs of the key projects and system-design answers.
A few of the kit's building blocks have free previews you can grab today — see the resource library.
README template
The project README structure that makes a portfolio repo readable in 30 seconds — problem, architecture, trade-offs, and results.
Architecture diagram
A reference diagram you can adapt for a RAG or agent system and defend in a system-design round.
Interview question sample
A sample from the 100+ question bank, with a model answer that shows how to reason out loud.
RAG checklist
The demo-to-production checklist — chunking, retrieval, reranking, evals, and cost controls.
Kit questions
What's included in the kit?
Five portfolio project specs with README templates and architecture diagrams, 100+ interview questions with sample answers, RAG and agent system-design prompts, resume bullets and a talking-points script, a 90-day study plan, the extended roadmap, and video walkthroughs.
How will I get access?
Join the waitlist now. When the kit launches in August 2026, I'll email you an early-access link at launch price. You get a downloadable workbook plus GitHub template repos you can clone.
Who is this for?
Working engineers moving into AI and job seekers preparing for AI Engineer, GenAI Developer, Agentic AI Engineer, and Forward Deployed Engineer roles. You should already be comfortable writing code.
Does it include real templates and code?
Yes. The projects ship as GitHub templates with README scaffolds and reference architecture diagrams, so you're adapting real, production-shaped starting points — not copying from screenshots.
How is this different from the free roadmap?
The roadmap is the free map of the path. The kit is the done-for-you toolkit: the specific projects, interview answers, diagrams, and walkthroughs that turn the path into an interview-ready portfolio faster.
Reader outcomes
Building in the open
No testimonials yet — and we won't invent them. This is a new platform, so instead of borrowed quotes you get the real work: the roadmap, the projects, and the interview prep, all free to read.
Be one of the first. Build a project from the roadmap, ship it, and share your result — genuine reader stories will live here as they come in.
Production AI Notes
One practical AI engineering email each week
One concept, one architecture, one project idea, and one interview question — written for developers who want to build and ship real AI systems.