Practical workshop / 8 lessons
An eight-part practical workshop for developers and QA professionals who want to understand how modern teams work, build credible evidence, and feel ready for their next opportunity.
Cohort dates Defined upon registration
1 person is registered. We’ll set the dates and times once 8 people are confirmed, with a maximum of 10 participants.
The promise
The series follows one small product from idea to production. Each lesson adds a new layer: collaboration, APIs, data, testing, delivery, and the judgment that makes those skills useful at work.
It is designed for early-career and transitioning developers, QA engineers, testers, and self-taught practitioners. Attend the live sessions, work through practical challenges with the group, and build a portfolio of evidence with direct feedback as you go.
The schedule
Register your interest below and cohort dates will be defined with participants during registration.
01
Map the path from a ticket to production: requirements, branches, pull requests, testing, deployment, and feedback. You will learn the vocabulary employers expect and identify the parts of the delivery cycle you already know.
By the end: A personal skills map and a realistic target role.
02
Practice the everyday workflow behind most engineering jobs: branching, commits, pull requests, code review, conflict resolution, and clear technical communication. We will turn a small change into a professional pull request.
By the end: A reviewable GitHub contribution with a strong PR description.
03
Understand how modern systems communicate. Read HTTP requests and responses, work with REST APIs, inspect logs, reproduce a bug, and explain your diagnosis without guessing.
By the end: An API test collection and a repeatable debugging checklist.
04
Learn enough data modeling and SQL to investigate real defects and build useful features. We will move from a user story to tables, queries, edge cases, and a short explanation of the trade-offs.
By the end: A small schema, useful queries, and a data-focused project story.
05
Connect testing strategy to risk instead of chasing arbitrary coverage numbers. Developers and QA participants will practice unit, integration, API, exploratory, and regression testing on the same feature.
By the end: A focused test strategy and a set of high-value test cases.
06
See what happens after code leaves your laptop. Build a simple pipeline, understand environments and configuration, and learn the signals that help a team decide whether a release is safe.
By the end: A basic CI pipeline and a production-readiness checklist.
07
Use AI tools to accelerate research, test design, documentation, and small implementation tasks while keeping humans responsible for verification, privacy, security, and decisions.
By the end: A practical AI workflow with verification steps you can explain in an interview.
08
Turn the workshop project into evidence. We will improve your README, practice explaining technical decisions, run a mock interview, and create a job-search plan built around the roles you want next.
By the end: A polished portfolio project, interview stories, and a 30-day action plan.
Register your interest
Registration is open while the cohort is on hold. Tell me where you are today and what opportunity you are working toward. I’ll follow up as the group approaches the minimum of 8 participants and share the proposed dates and times before anything is finalized.