Data Science with Generative AI - Volume 6: Production and Projects

Volume 6 — Production & Projects

Chapters 65–79, plus all 10 capstone projects. This is where a model in a notebook becomes a system someone can actually use. You'll take code to production with Git, Docker, MLflow, FastAPI, cloud platforms, and Kubernetes, then cover the security, privacy, fairness, and governance rules that come with shipping real AI systems. The centerpiece is 10 complete, portfolio-grade capstone projects — each a full tutorial from an empty folder to a deployed, working system: Complete Data Analytics Project, Customer Churn Prediction, Financial Fraud Detection, NLP Sentiment Analysis, Document Intelligence System, AI Data Analyst, RAG Knowledge Assistant, AI Research Assistant, Agentic Data Scientist, and Production AI Platform. It closes with career chapters on roles, building a portfolio, and working professionally alongside AI tools.

Who it's for: anyone ready to turn finished skills into a deployed system and a real portfolio — the natural next step after Volumes 3–5, or a standalone reference for engineers who already know the modelling and just need the production and career layer.

What you get: PDF + EPUB of Volume 6. (Book + Resources adds runnable code files/notebooks for every chapter and project, plus the 5 fictional-company datasets used across the capstones; Full Bundle adds the Start Here reading-path guide and the living Errata & Updates page.)

At 728 pages, this is the largest single volume in the series — and the one most buyers finish with a working, deployable project to show for it.