Health & Life Science Solution Bootcamp

Read the book: https://anothernoise.github.io/hls-sa/

A hands-on bootcamp for engineers and data professionals moving into a Solution Architect (SA) role in healthcare, biotech, pharma, and medtech.

This is not just a handbook to read — it is a bootcamp built to take you from "can build software" to "can own a health & life science solution architecture." It braids three strands and proves them with graded, hands-on labs:

1. The SA craft — turn ambiguous business problems into defensible designs, communicate trade-offs, and own a solution end-to-end.
2. The health & life science (HLS) domain — the data standards, regulations, and platform building blocks that make this industry different from everything else.
3. Hands-on delivery — every module pairs concepts with labs you build and run, so you finish with a portfolio of working reference architectures.

Who this is for

You can already write code or build data pipelines. By the end you will:

• design systems, not just implement tickets;
• treat compliance (HIPAA, GxP, HITRUST, PIPEDA, GDPR) as a first-class requirement;
• speak fluently about clinical data (FHIR, HL7v2, DICOM, OMOP) and genomics;
• compare platforms (AWS, GCP, Azure, Databricks, Snowflake, NVIDIA, on-prem/hybrid) on merit;
• defend an architecture to a CISO, a clinician, and a CFO in the same meeting.

Bootcamp format

• Modules. Module 0 (orientation) plus ten parts, each a module. Read Module 0 and Part 1 first; Parts 2–3 (clinical data + compliance) are foundational; the rest build on them.
• Pace. Self-paced or cohort-paced. A typical cohort runs ~10–12 weeks (roughly one part per week); self-paced learners go faster or slower. Budget ~20 min per chapter to read and 1–3 hours per lab.
• Labs. Each module links a hands-on lab (see below). Labs are where the learning sticks.
• Assessment. Every chapter ends with Check yourself questions; each part has a lab deliverable; the bootcamp ends with a capstone (Part 10) — design a multi-cloud, multi-jurisdiction HLS platform from a brief.
• Completion. You "graduate" by completing the labs and the capstone, reviewed against the rubric in Part 10.

How the labs work (public starter + private solution)

Labs follow a two-repo model:

• Starter repos (public). Each lab has an open, public repo with the architecture write-up, scaffolding, synthetic data, and step-by-step instructions. You fork or clone these and build the solution yourself. These are the "part of the course that is open."
• Solution repos (private). Full reference implementations, instructor notes, graded rubrics, and assessment answer keys live in private repositories, granted to enrolled participants. This is the "major part that is hidden," so the learning value of building it yourself is preserved.

Solution repos and instructor materials are private. To request access (for a cohort, for teaching, or for any reuse of the materials), see Licensing & access below.

Prerequisites

• Comfort with one cloud provider and basic IaC (Terraform or CDK).
• Git, the command line, and one scripting language (Python is used in most labs).
• No prior healthcare knowledge required — that is what Parts 2–3 are for.

Setup

See How to use this book for the toolkit, and Bootcamp format & labs for how the modules, labs, and assessments fit together. Unfamiliar acronym? Every defined term is auto-linked to the Glossary.

Licensing & access

The materials are proprietary — all rights reserved (see LICENSE). You may read the published book for personal study. To teach, train, redistribute, use commercially, or otherwise reuse the materials — including access to the private solution repositories — please ask first:

• Dmitry Shirokov · dmansh@gmail.com · github.com/anothernoise

Code samples in companion repos may carry their own licenses; where a repo specifies one, that license governs its code.