Agentic and AI Software Engineering
How do you code with AI today? This compact, hands-on course shows engineering teams how to use AI assistants and AI editors productively— from autocomplete and refactoring to test generation, debugging, docs automation, and code reviews. You’ll get a clear tool overview (ChatGPT, Claude, Gemini, GitHub Copilot, CodeWhisperer, Tabnine, Codeium/Cody, Cursor, Lovable), typical strengths & limits, plus guardrails for data protection and IP—all practiced live in the IDE.
Thursday,
23th October 2026
09:00 - 12:30 am
Thursday,
5th February 2026
09:00 - 12:30 am
Online
Language: English
CHF 490.-
Thursday,
4th December 2025
09:00 - 12:30 am
Tuesday,
31st March 2026
09:00 - 12:30 am
PH Zürich
Language: English
CHF 590.-
Content
Practice before theory: the overview below shows the modules and core topics, from picking the right AI tools to hands-on workflows in your IDE.
In this training you’ll cover:
- AI Dev Environment Kickstart – Set up VS Code & Git, enable plugins (Codeium/Cody), verify free/trial accounts
- How to Code in the Age of AI – Principles, workflows, best practices
- Tool Landscape & Comparison – Copilot, CodeWhisperer, Tabnine, Codeium/Cody, ChatGPT, Claude, Gemini, Cursor, Lovable (features, IDE support, pricing, data/IP)
- Hands-on Coding – Code generation, refactoring, test generation, debugging in VS Code
- Docs & Reviews – Auto-create README/Docstrings/ADR; AI-assisted code review (correctness, security, performance, style)
- LLM API 101 – Request/response, tokens, costs & rate limits, safe key handling; example with OpenAI/Claude/Gemini
- Leveraging MCP (Model Context Protocol)
Standardizes how AI tools share context and manage sessions, strengthening interoperability, auditability, and governance. - Agentic Workflows (Intro) – From vibe coding to vibe engineering: plan→act loops where agents execute multi-step tasks end-to-end
- Multi-Agent Orchestration (Intro) – Coordinate specialised agents (code, tests, docs) for division of labour and scalable automation; patterns & pitfalls
- Ops Inspiration – Log checks & a ticket-triage concept (incident classification, suggested response)
- Security & Governance – Data protection, IP rights, safe prompts, team policies
(The agentic and orchestration parts are concise intros in the foundations class; they can be expanded in the Advanced course.)
+ Access to Our Community with daily free learning assets
+ Materials from All Learning Modules and Additional Support Links
+ Certified Agentic AI Engineer
+ Prompt Frameworks and Canvas
Why Companies Choose This Course
Practice
80%
Hands-on
Live coding in the IDE, mini-labs & ready-to-use prompts.
100%
Policy-Ready
GDPR & IP playbook included — checklists, safe-prompting, no-secrets rules and templates for team policies.
Tool-agnostic &
Future-proof
10+ tools & IDEs (ChatGPT, Claude, Gemini, Copilot, Cursor, Codeium/Cody, etc.).
Some Customers
Target Audience
Software engineers, DevOps/SRE, tech leads and engineering managers who want to integrate AI safely and efficiently into their daily development workflow.
Prerequisites
- Basic knowledge of a programming language (e.g., Python/JavaScript)
- Laptop with VS Code & Git
- Accounts (Free/Trial are fine): ChatGPT plus Claude or Gemini
- IDE plugin: Codeium or Cody (free tier)
- (Optional) Cursor or GitHub Copilot trial
- We provide a starter repo (code + IaC + logs) and synthetic data
Any questions? Find more in our FAQs
Goal
- Know, compare and intentionally select the right AI coding tools
- Integrate AI into everyday work (code, tests, docs, review)
- Efficiently check IaC snippets & logs with AI
- Apply data protection, IP rights, and governance safely
- Draft your first
team policy & tool matrix for your stack
Format
- You will experience hands-on sessions
- Profit from deep-dives with our experts into tools and useful use cases
- You will have enough time to ask your questions and use it for your ideas and projects.
- Max. 14–16 participants for close support (≈60% hands-on)
Certificate
After completing the course, you will receive a "Certified Agentic AI Engineer" certificate.
Trainer
Andreas Meier
- CTO/Engineering Lead
- Architecture & Developer-Workflows
- MSc in Nanotechnology,
- Major in Quantum Physics
Contact us now for a course offer.
Do I need paid licences?
No. We work with Free/Trials (Codeium/Cody, ChatGPT Free, Claude/Gemini Free). We show Enterprise options and Copilot conceptually or in the demo - if available.
Which languages do you cover?
Demos in Python/JavaScript; principles apply to other languages. We can adapt examples to your stack on request.
Are we allowed to use company code?
No. We work exclusively with synthetic repos. In the course we discuss secure processes for productive use (no-secrets, no-training flags, on-prem/enterprise).
Will I receive documents & prompts?
Yes - prompt cards, review section, policy canvas, checklists and the starter repo.
Also as in-house training?
Yes, we offer this training as company training. This offers the opportunity to go even deeper into current challenges.
Get in touch with us
We will be happy to answer your course enquiry as soon as possible.
