The AI/ML Engineer series
Three books, one career: from breaking in to staff judgment
Start with the book that matches where you are, or get the complete series — three ebooks and three audiobooks — for $59.99.
Book 1No production ML experience yet
Book 2One to four years in
Book 3Senior, choosing technical depth or management path
Three books, one career
What each book covers
AI/ML Engineer · Book 1
A Beginner's Guide to What the Job Actually Is, Why It Won't Be Your First One, and How to Interview Your Way Into It
Teaches the job from zero through the production loop (experiment, deploy, monitor, retrain) with worked scenarios instead of definitions, explains why this is rarely a first job, and delivers two interview-ready STAR stories.
Read about this book- Walk the production loop through the fraud-detection model: experiment, deploy, monitor, retrain, and the one cycle that never ends.
- Describe the real split between an ML engineer and a data scientist, worked through the gym-membership churn project — one person proving a pattern is real, the other keeping it running for 40,000 members a night.
- Use the six-layer skills roadmap (Python, software engineering fundamentals, SQL, one framework, feature engineering, deployment) to sort a job posting and know what to learn first.
- Tell two complete STAR interview stories — trade-off and feedback — rehearsed with the follow-up questions interviewers ask next.
AI/ML Engineer · Book 2
An Intermediate's Guide to Closing the Deployment Gap
Works the shift from junior to mid-level judgment through closing the deployment gap, teaching the production-debugging and ML system-design frameworks through real incidents.
Read about this book- Name the category before you touch the fix: diagnose input drift, prediction drift, or performance degradation through a live 8% accuracy drop.
- Build one production-debugging framework and one ML system-design framework, worked start to finish, so the diagnostic instinct is automatic before an interviewer asks you to prove it.
- Navigate the pipeline jungle: understand the lending company's three-source income field, the backfill idempotency bug, and the schema-check and SQL discipline that keeps a growing pipeline honest.
- Evaluate the MLOps stack without the wallpaper: PyTorch versus TensorFlow as an actual tradeoff, and where Docker, Kubernetes, MLflow, Airflow, Terraform, and SageMaker each do or don't earn their place.
AI/ML Engineer · Book 3
An Expert's Guide to the Judgment Calls Behind Production ML, LLM Economics, and the Climb to Staff and Principal
Works through the judgment calls where offline metrics improve and online numbers get worse, teaching RAG debugging, LLM economics, and the career diligence questions that determine whether an offer builds skill or caps it.
Read about this book- Triage a RAG system that hallucinates by layer instead of guessing, and know why hybrid search, not a prompt tweak, is usually the actual fix.
- Make the hardware-and-inference-engine coupling decision (H100 versus A100, vLLM versus TensorRT-LLM) and understand the caching and routing levers that move an LLM bill by 40-70%.
- Run the offline-online metrics divergence diagnosis — position bias, exposure bias, feedback loops — as a leadership decision instead of an argument.
- Answer the two diligence questions before you sign: how much of the stack is proprietary, and how many owners has it had, to know whether an offer builds transferable skill or caps it.
Choose your package
The Complete AI/ML Engineer Series
3 ebooks + 3 audiobooks · 11 h 36 min of listening in total
$59.99 $79.94
Going for interviews?
Career Accelerator
Everything in the series, plus the interview bank, the 30-day workbook and the mock-interview prompts
$147.00
See what is insideNot ready for all three?
Read the series · $25.99 · 3 ebooks, EPUB + PDFStart with Book 1 · $9.99
Prices in USD. VAT or sales tax is added at checkout where it applies. Checkout opens on Payhip, which handles payment and delivery.
Audiobooks are narrated by a synthetic voice.
Questions before you buy
Which formats do I get when I buy here?
The ebook purchase includes the EPUB for any reader app and the print-layout PDF. The audiobook is an MP3 you download and keep.
Will it work on my Kindle, phone or tablet?
Yes. The EPUB opens in Apple Books, Google Play Books, Kobo and every reader app; Kindle devices accept it through Amazon's Send to Kindle. The PDF opens anywhere.
Is the PDF really included?
Yes. Every ebook bought from this site comes with the PDF at no extra cost.
What is the refund policy?
One 30-day refund policy covers everything bought on this site: books, audiobooks, book bundles, exam practice bundles and the Career Accelerators. Reply to your receipt within 30 days of purchase and the payment comes back, no questions. The refunds page has the details.
Which languages are available?
The three books exist as ebooks in English, Spanish, French, German, Portuguese and Arabic. The audiobooks and the bundles are in English.
Who narrates the audiobook?
A synthetic voice, and the recording follows the printed text word for word, so you can move between reading and listening without losing your place. The audiobooks are in English only.
How is the book delivered?
Immediately, and the files are yours to keep. The download page opens the moment payment completes, and the same link arrives by email with your receipt. If nothing has arrived within ten minutes, check the spam folder, then reply to the receipt and it is sent again.
Start the series tonight
All three ebooks and all three audiobooks download the moment you pay, and the 30-day refund policy covers the rest.