AI Coding Essentials
Discover how to leverage AI tools to enhance coding efficiency, automate repetitive tasks, and unlock innovative development workflows in this hands-on session.
| Next public training | Language | Time & timezone | Sign up |
|---|---|---|---|
| 17. Dec 2025 - 18. Nov 2025 | EN | 09:00 (Europe/Berlin) | Get a quote |
Available as Private or Public training
Private Training Courses are exclusive groups for your company only. This has the advantage that we can address company-specific topics and questions that are relevant for the entire group.
We offer our courses as Public Courses on fixed dates. Attendees can purchase a seat at these courses. Minimum of 3 participants, mixed from different companies. Scheduled dates will appear at the top of this page
What you will learn in this course
WHY THIS COURSE IS A GAMECHANGER: Without AI knowledge, developers use tools ineffectively. In this training, you’ll learn to apply AI to coding meaningfully and significantly boost your productivity.
ABOUT THIS COURSE: Learn how to integrate AI tools into your code projects and take your software development to the next level. With GitHub Copilot subscriptions provided and access to a powerful lab environment, we’ll show you how to efficiently incorporate AI models and tools, create automated workflows, learn about trends and automate testing to develop reliable and high-performance applications.
Agenda
AI in the Software Development Life Cycle (SDLC): Explore the evolution of software development, the role of AI in SDLC and the importance of testing. Gain an understanding of GenAI fundamentals and discover where AI fits in. Refresh your understanding of the EU AI Act.
AI Tools & Ecosystem: Understand different Levels of AI assistance in coding tasks, from simple auto-completions to complex agentic workflows. Discover a plethora of AI tools for coding, testing, project automation as well as agentic development. (Tools: GitHub Copilot Chat, Ollama, Open Source LLMs, Continue+Ollama, RooCoder, OpenRouter, Groq, Aider, GitSage, Sourcery, MetaGPT, MCP and more)
Specification Centric Development: Learn how adding specified intent and context in development improves coding workflows. We'll also look at AI assisted Behaviour Driven Development and customisation options for Copilot.
AI-Coding Input Design: Understand effective input design and context layering methods for AI coding assistance. Discover prompting techniques and further ways to integrate domain knowledge.
AI-Coding Implications: Examine challenges, ethical and security concerns, and professional impacts of AI in software development and how to overcome them. We'll also look at future trends of AI coding.
Hands-On Labs: Lots of practical exercises with AI tools for coding and more.
audience
This course is designed for
- Developers, coders, and IT professionals seeking to integrate AI into their coding practices for productivity and innovation.
prerequisites
To get most out of this course, you should have:
- The lab instructions provided as part of the course will cover and explain everything. However, it would be beneficial to have a basic understanding of programming and to be familiar with Python and Git.
style
Our trainers have years of experience and will deliver the right mix of:
- Theoretical explanations, live demonstrations, interactive and guided hands-on activities, and Q&A sessions.
Technical requirements
We recommend the following equipment:
- Stable internet connection
- Access to AI tools and services (e.g., OpenRouter, Groq, OpenAI API) (Free accounts may need to be created)
- Browser compatible with modern web applications (e.g., Chrome)
- If you're eager to try out demonstrated tools on your own: Code editor (e.g., VS Code) with sufficient hardware (GPU) and a Python installation
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