🪄 AI Workshop: Code and Automate with AI (April, 2026)
A four-week hands-on cohort for coding and automation with AI.
4-session live series · Live · Online · 2 hours/session
4-Weeks, Thursdays, 120-minutes, April 2 - April 23, 2026
When
Runs April 2, 2026 - April 23, 2026
Thursday
10:00 AM to 12:00 PM PT
Commitment
4 sessions · 2 hours/session
Thursday
Where
Live · Online
Tickets: $849 USD
At-a-glance
What you’ll learn
Follow proven development practices to ensure AI-generated code remains reliable and maintainable.
Make your application easier to deploy with Docker.
Prevent accidental breaking changes and keep your code safe using Git and GitHub.
Who it’s for
Builders who want to move faster with AI-assisted coding workflows.
Operators looking to create internal tools, apps, and automations.
Consultants who want to prototype solutions for client and internal work.
What you’ll build
A repeatable workflow for planning, building, testing, and improving code with AI.
Prompt patterns and review habits that help you get better coding results.
A practical app, internal tool, or automation you can continue improving after the workshop.
About your trainer
Bill Raymond
Founder, Cambermast · Lead Instructor
Bill helps teams put AI to work quickly and responsibly. His sessions are hands-on, practical, and focused on clear next steps you can use right away.
Trusted by
Weekly curriculum
📜 Certificate- Thu, Apr 2
Week 1: Build Your First Web App
- Understand AI-assisted coding and how it works.
- Explore common AI coding workflows and tools.
- Practice writing clear requirements to translate into working code.
- Build a simple working app or automation and review the output.
- Thu, Apr 9
Week 2: Git, GitHub, Docker, and Iteration
- Use Git and GitHub to track changes, collaborate, and ship reliably.
- Use Docker to create a repeatable development environment for your app or automation.
- Practice iterative prompting when the first AI output is incomplete or incorrect.
- Improve your Week 1 app through structured iterations and versioned commits.
- Thu, Apr 16
Week 3: Planning for a More Robust Product
- Use AI planning features to break product ideas into manageable development tasks.
- Refactor your app or automation into clearer modules and components that can scale.
- Add validation, edge-case handling, and basic tests.
- Deploy your working project.
- Thu, Apr 23
Week 4: Capstone Project and Next Steps
- Present your project or next big idea with the cohort.
- Share ideas, tools, or workflows you want to continue exploring.
- Leave with a clear path for turning future ideas into working apps with AI.
FAQ
Do I need prior AI experience to join?
Yes, some prior AI experience is recommended for this workshop. It is designed for builders, operators, consultants, IT professionals, and aspiring developers who already want to use AI to build and improve practical apps and automations.
What do I need before the workshop starts?
Complete the full setup guide before Week 1. You should have Visual Studio Code, a Codex or Claude extension, Git, GitHub, Docker Desktop, and a paid Claude or ChatGPT account ready to use. You should also have a laptop, stable internet, and a project idea or workflow you want to turn into a practical app or automation.
Do I need prior coding experience to join?
No formal developer background is required. This workshop is designed for semi-technical participants, including IT professionals, aspiring developers, and people who want guided practice building practical apps or automations.
Is this workshop tied to one coding product or platform?
No. The workshop teaches transferable skills and workflows that can be applied across AI coding tools, chat interfaces, editor integrations, and future platforms.
What kinds of projects can I build or automate during the cohort?
Most participants build a practical app, internal tool, or workflow automation tied to work they already care about. That could include an operations dashboard, intake form, workflow helper, internal utility, or another lightweight product you want to keep improving after the workshop.
Will we cover Git, GitHub, and Docker?
Yes. Week 2 introduces Git and GitHub for version control and collaboration, plus Docker for creating a consistent development environment. The goal is practical familiarity so you can keep improving your app with a more professional workflow.
How does the capstone project work?
You will shape your capstone as the workshop progresses, using the exercises and weekly feedback to improve it over time. In Week 4, you finalize the project, present what you built, and leave with clear next steps for continuing development after the cohort ends.
Will we use AI planning features to make the app more robust?
Yes. In Week 3, the workshop focuses on using AI planning features to break larger goals into manageable steps, improve the structure of your app or automation, and make the project easier to extend, test, and maintain.
📧 Do you have a manager budget-approval letter I can send?
Yes. This version is tailored to AI Workshop: Code and Automate with AI and auto-fills the course title, dates, cost, and link from the training program details below.
Hi [Manager Name],
I would like approval to attend 🪄 AI Workshop: Code and Automate with AI (April, 2026) with Cambermast.
This training is focused on coding, building automations, and improving practical tools with AI. It covers hands-on development, Git, GitHub, Docker, AI planning features, and a capstone project I can apply directly to my role.
Program: 🪄 AI Workshop: Code and Automate with AI (April, 2026)
Dates: April 2, 2026 - April 23, 2026 · Every Thursday
Cost: $849 USD
Format: [Format]
Link: http://sveltekit-prerender/c/aicd26
I expect this training will help me improve speed, quality, and technical confidence while giving me a more structured workflow for building useful internal or client-facing tools.
Thank you for considering this request.
Best,
[Your Name]More details
This event provides a certificate of completion.
You already understand software development concepts, and you are ready to bring your ideas to life. Now you need the skills to turn those ideas into working software and useful automations whenever you decide it is time to build. AI-assisted coding now enables teams to create real apps, internal tools, and workflow automations through structured conversations with AI tools. Learning best practices and strong prompting techniques is the new essential skill for modern builders and operators.
Outcomes
- Follow proven development practices to ensure AI-generated code remains reliable and maintainable.
- Make your application or automation easier to deploy with Docker.
- Prevent accidental breaking changes and keep your code safe using Git and GitHub.
What You Will Build
- A repeatable workflow for planning, building, testing, and improving code with AI.
- Prompt patterns and review habits that help you get better coding results.
- A practical app, internal tool, or automation you can continue improving after the workshop.
- A competitive market analysis of your competitors to support product positioning and planning.
- Greater confidence using AI to support technical work without relying on one platform.
- A digital certificate of completion after presenting your final project.
Who This Is For
- Builders who want to move faster with AI-assisted coding workflows.
- Operators looking to create internal tools, apps, and automations.
- Consultants who want to prototype solutions for client and internal work.
- IT professionals exploring practical ways to use AI for coding and technical problem solving.
- Aspiring developers who want guided practice building with AI.