AI Engineering Starter Guide + Interview Prep with Abhishek Malviya

Stop collecting roadmaps. Start understanding what you are building.

Already know basic coding and want a clear starting point in AI engineering? This self-contained learning bundle explains the foundations, walks you through a small application, and helps you practise defending its design. You do not need to jump between external links to complete the core path.

WHAT YOU RECEIVE

- A 78-page, 23-chapter handbook covering Python, HTTP, essential maths, ML, transformers, LLMs, prompting, RAG, evaluation and reliable application design, with worked examples and exercises with answers.

- An original Python Notes to Answers starter that runs offline, plus a retrieval experiment workbench and deliberately challenging practice cases.

- 50 original technical interview questions with substantive model answers.

- Ten coding exercises with runnable reference solutions and local checks.

- A worked AI system-design interview, project discussion practice, a 60-minute mock and a 14-day revision plan.

- PDF, editable Word and Markdown copies, plus editable CSV worksheets.

- Official references for optional depth and changing provider details.

LEARN WITHOUT AN API KEY

The core programs use Python's standard library. Offline mode retrieves source excerpts; it is not a local language model and does not generate answers. Optional hosted generation needs your own compatible OpenAI Responses API access and may incur separate charges.

WHO IT IS FOR

Students and early-career developers who can already write a small program and want to build, evaluate and explain a beginner AI application. No GPU or advanced maths background is required for the core path.

WHAT THIS IS NOT

Not a video course, personal mentoring package, certificate, referral, placement service or interview-success guarantee. It is not a complete DSA, SQL, ML-research or employer-specific interview course. The included starter is a local learning tool, not a production-ready hosted service. Schedules and scorecards are practice aids, not validated hiring thresholds.

By Abhishek Malviya. Independent educational material; not affiliated with or endorsed by Microsoft, Amazon, OpenAI or linked resource owners.