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Technical Content Designer Program

Learn to work confidently inside the technical environments where product content lives. Over four live weeks, you’ll use GitHub, VS Code, branches, pull requests, structured files, and AI workflows in a real repository — without needing to become a developer.

Recordings

All sessions

Live

Meet your peers

Certificate

On completion

Jeremy Hoover

Jeremy Hoover

Senior Content Designer, Microsoft

Jeremy Hoover has spent 10 years collaborating with engineers and product teams on developer-facing tools — IDEs, APIs, CLIs, MCPs, and CI/CD workflows. He leads workshops on technical fluency in content design.

Next cohort

Oct. 22 - Nov. 12

Need an invoice or PO? Let us know.

“This program helped me pave a clearer path to maintaining the strategic helm of language at my company.”

Michelle Gerling

Michelle Gerling

Content Designer, Gett

“Getting to play with a functioning Git repo helped me understand how to build one. Jeremy is enthusiastic and can speak at length about each topic.”

Gabriel Lek

Lead UX Writer, Grab

Who is this cohort for?

Designed for content designers and UX writers who work in product teams. No coding experience required.

You work closely with developers

You work with developers but want to know what happens after content leaves Figma.

You want to work independently

You want to find content, understand constraints, and make changes.

Your role is getting technical

GitHub,, APIs, AI, or developer workflows are starting to show up in your work.

You want tech fluency

You want enough technical understanding to contribute confidently.

What will you walk away with?

Our courses are created by experts, informed by hiring managers, and reflect industry best practice.

5,000+

Students trained

200+

Teams trained

100+

Countries

01

Navigate a repository. Open an unfamiliar repository, understand structure, and find where content lives.

02

Understand content in technical systems. Read common formats such as Markdown, JSON, and YAML, and understand how content connects to the product around it.

03

Contribute through developer workflows.
Create brances, make content changes, read a diff, open pull requests, and participate in code reviews.

04

Use AI to interpret unfamiliar code and repositories, write instructions, and work more independently with technical tools.

Everything you need to master technical skills

A complete system for learning, practicing, and proving your skills.

4 weekly sessions

Learn with Jeremy and ask quiestions in a live environment.

Expert feedback

Get help when you’re stuck and feedback on the work you produce.

Certification

Earn a certificate when you pass your final project.

Support

Keep working between classes and get help as you build your technical skills.

The full schedule

A comprehensive education in technical skills for content designers

Week 1: Entering engineering environments

Your local time Change time zone

Understand the fundamentals of engineering environments and how products are built. Get the practice app running, find where content lives, and make your first fork.

  • What a repository is and how codebases are structured
  • The difference between Git and GitHub
  • Copy and code are separated on purpose: keys, values, and why key names never change
  • Tools setup: VS Code, GitHub Copilot, the terminal
  • Fork the repo, clone it locally, run the app

Week 2: Navigating repositories​

Your local time Change time zone

Learn to read a repo like a map. Understand the fork model, work safely in branches, explore the AI instruction architecture, and start building your content system.

  • The fork model: how your changes stay in your own branch
  • Key areas of the GitHub UI content designers actually use
  • The .github/ layer: copilot-instructions.md, AGENTS.md, skills
  • Six file types deep dive: Markdown, JSON, YAML, and how language models read them
  • CLI, API, and MCP: three ways software talks to software
  • Exercise: explore the AI files, read the codebase, start your content system

Week 3: AI as technical collaborator

Your local time Change time zone

Understand how AI actually reads your context, write instruction files that work, learn the full PR workflow, and feed your content system to a real AI tool.

  • The context window, tokens, and model behavior
  • Writing instructions that produce consistent AI output
  • The full PR workflow: branch → commit → push → PR → merge
  • What agentic AI means and why it changes content design
  • Exercise: feed your content system to AI, before/after comparison, open a PR

Week 4: What you built / where it's going

Your local time Change time zone

Share what you built, understand how your work moves through the CI/CD pipeline, and get a clear picture of where AI and content design are heading.

  • Share-out: walk through your fork and content system
  • CI/CD in plain language: what happens after you push
  • The AI and content design landscape: the industry right now
  • Using AI vs. designing AI systems: two very different roles
  • What the profession is building toward and where you fit

Learn technical skills with over 5,000 students

See what our students have to say about the course.

“Our product team made a content update using the ideas from the Fundamentals of UX Writing course. We’ve since seen a 20% increase in conversions.”

Sam DeReign

Group Content Strategist, Course Hero

“We wanted a fundamental training that provided a calibration for some basic understanding on how we do our daily work.”

Isabelle Gao

Senior UX Writing Lead, HSBC

Frequently asked questions

Do I need a technical background?

No. This cohort is designed for content designers who are new to technical environments. You don’t need coding experience, just a willingness to learn and work hands-on.

No. You won’t be writing code. The focus is on understanding how engineering environments work and how to contribute within them as a content designer.

You’ll work with tools like GitHub and VS Code, along with common workflows such as pull requests, branches, and code review. The skills you’ll learn can be applied on any team using industry-common tools.

Yes. You’ll practice in a real repository created for the cohort, designed to reflect how teams actually work.

AI is used throughout as a practical tool. You’ll learn how to use it to navigate unfamiliar code, understand repositories, and support real workflows.

Have questions? We’re here to help.

We can combine self-paced courses, workshops, or create custom sessions for your team based on unique needs. Get in touch – we’d love to speak with you.

Dhanushka

Customer Success Manager

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