Understand the current coding landscape
Compare Codex, Claude Code and OpenCode and understand where they add value in modern development workflows.
AI Engineering Bootcamp
AI-Powered Software Development & Agentic Engineering
Learn how to use modern coding agents with purpose: from the first requirement through planning, implementation and testing to a structured review. The course centres on a complete workflow with OpenCode and shows where Codex and Claude Code fit.
OpenCode
Codex
Claude Code
Agentic Workflows
Date
Thursday, 25 June 2026
Time
09:00–16:30
Location & language
PH Zurich · English
Price
CHF 990
Course content
Move from isolated prompts to a reliable development process.
You will not simply learn another tool. You will connect requirements, context, planning, implementation, testing and review into one clear agentic development workflow.
Use OpenCode in practice
Set up a project, connect an AI provider and master the essential workflow for productive daily use.
Work like an experienced development team
Plan before building, guide changes clearly and review results critically instead of accepting generated code without checking it.
Make team knowledge reusable
Create skills, commands and specialised subagents so that standards and proven approaches are applied consistently.
✓
Access to our community and ongoing learning resources
✓
Materials from all learning modules and additional support links
✓
“Certified Agentic AI Engineer” certificate
✓
Prompt frameworks, canvases, checklists and a starter project
What you will learn
Build a complete application, step by step.
The course combines technical implementation with clear planning, reusable team knowledge, quality assurance and human control.
Phase 01
Orientation & setup
Understand the AI coding landscape
Get an overview of Codex, Claude Code and OpenCode, how they work and where they fit into modern development workflows.
Get productive quickly with OpenCode
Set up a project, connect an AI provider and master the essential workflow.
Work with AI like an experienced developer
Plan before building, guide changes clearly and review results critically.
Give AI the context it needs
Use AGENTS.md, relevant project files and clear boundaries to improve results.
Phase 02
Planning & workflows
Turn ideas into build-ready plans
Transform requirements and tickets into mockups, specifications and acceptance criteria.
Connect your existing workflow
Use MCP to bring tickets and external project information directly into development.
Create reusable skills
Package team knowledge, standards and proven approaches so agents can apply them consistently.
Standardise work with commands
Turn recurring tasks such as reviews, tests and pull request descriptions into simple, repeatable commands.
Phase 03
Implementation & quality
Delegate to specialised subagents
Assign focused roles for requirements, development, review and testing while keeping the main workflow clear.
Build a complete application
Take a real software project from idea and requirements through planning, implementation, testing and review.
Improve quality and delivery
Combine automated tests, structured reviews and reusable workflows to produce review-ready changes.
Stay securely in control
Apply permissions, human approvals and practical safeguards for data and intellectual property.
What you will take away
By the end, you will not only have learned. You will have built.
The training day is designed around concrete results that you can reuse within your own team.
✓
A complete application
From the ticket and build plan through implementation, testing and review.
✓
A reliable context setup
With AGENTS.md, project files, boundaries and clear working rules.
✓
Reusable skills and commands
For team standards, reviews, tests and recurring tasks.
✓
A secure quality process
With automated tests, human approvals and structured reviews.
✓
Templates and checklists
For planning, reviews, team rules and transfer into your own technology stack.
Trusted organisations
Our customers and partners
Who is this training for?
For technical teams that want to integrate AI into development while staying in control.
The training is designed for people who build software, own technical workflows or want to establish agentic development practices within their team.
Software developers
For developers who want to use coding agents productively for planning, implementation, testing and review.
DevOps & site reliability engineers
For technical roles that need repeatable workflows, clear controls and reliable automation.
Technology leads
For people responsible for defining standards, context and quality rules for agentic development.
Engineering managers
For leaders who want to introduce new development workflows safely and scale them across a team.
Requirements & format
Hands-on, technically sound and ready to apply.
During the training, you will work on a prepared project and apply the workflows directly.
What you should bring
- Basic knowledge of a programming language such as Python or JavaScript
- Your own laptop with Git and a modern development environment
- Access to an AI provider that can be connected to OpenCode
- A willingness to review code, tests and agent results critically
How we work
- Live demonstrations, focused input and practical exercises in small groups
- A prepared practice project using synthetic data
- Checklists, prompt templates, canvases and a starter project to take away
- A maximum of 14–16 participants for intensive support
Why now?
Agentic engineering is moving from experiment to development standard.
The difference does not come from knowing one more tool. It comes from a reliable process that connects context, planning, control and quality.
Move faster from idea to build
Turn requirements into clear plans and let agents work productively within defined boundaries.
Improve measurable quality
Combine automated tests with structured reviews and clear human approvals.
Scale team knowledge
Capture standards in AGENTS.md, skills and commands so agents work consistently according to your rules.
The AI Engineering training was extremely hands-on. We developed agent-based workflows and best practices in a way that genuinely works for a team. The structured patterns, guardrails and direct application to real use cases were particularly valuable.
Head P&C Product / Applications · AXA
Trainer
Andreas Meier
Andreas combines technical architecture with practical development workflows and shows how agentic tools can be integrated into real software projects in a controlled way.
FAQ
Common questions about the training.
Would you like to book the course for your team or discuss specific requirements? Contact us directly.
Do I need paid licences?
The required access and preparation steps will be communicated before the training. For the practical work, you need access to an AI provider that can be connected to OpenCode.
Which programming languages do you cover?
The demonstrations use Python and JavaScript. The principles and workflows can be transferred to other languages. For company training, examples can be adapted to your own technology stack.
Can we use company code?
In the public training, we work exclusively with prepared projects and synthetic data. Secure processes for production code, permissions, data protection and intellectual property are covered in the course.
Why does the course use OpenCode?
OpenCode provides the practical environment for the complete development workflow. Codex and Claude Code are also covered so that you can understand the differences and choose the right tool for each situation.
Will I receive materials and templates?
Yes. You will receive checklists, prompt templates, frameworks, canvases, AGENTS.md examples and the prepared starter project.
Is the training available as an in-house course?
Yes. For company training, the content, examples and exercises can be adapted more closely to your development environment, standards and current challenges.
Next step
Build software with AI faster, more systematically and more securely.
Secure your place in the public training or enquire about a tailored in-house course for your team.
Get in touch with us
We will be happy to answer your course enquiry as soon as possible.
