Generative AI assistants in software development
AI Training for Developers – with GitHub Copilot, Claude Code, or a coding assistant of your choice
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Machine Learning Engineer
1. generative AI and LLMs in a nutshell
- What can generative AI do and what will it never be able to do?
- How do LLMs work and how do I get my files into them?
- How can artificial intelligence help in software development?
- An overview of AI assistants for all areas of application
2. generative AI in coding
- Plan, write, and document code with AI assistants
- Using generative AI for code analysis
- Refactoring with AI support
- Software testing with AI
3. generative AI in software projects
- Requirements engineering with artificial intelligence
- AI as an aid for software design
- Coding styles and patterns with generative AI
4. generative AI used creatively
- Let GitHub Copilot learn from existing code
- Expanding AI Capabilities with Skills
- Use various AI models
- Looking to the future: the AI-controlled software process
5 What else is important to note
- Security issues with AI-generated code
- Who owns the copyright for generated code?
- Who is liable for faulty or defective code?
- Privacy-by-design: comply with data privacy
Practical exercises to take part in
In this training working with AI assistants using practical examples. We’ll primarily be using GitHub Copilot, but other AI agents can also be used. Some of the features covered require the paid versions. If you’d like to try out all the exercises yourself, we recommend that you sign up for access. The providers’ websites typically offer subscriptions that can be canceled on a monthly basis.
- Find out how AI assistants can help you with coding tasks and how you can save a lot of time.
- You will learn concrete techniques that you can use to integrate generative AI tools into your workflows and the workflows of your team - for coding, testing, refactoring and much more.
- You'll get an overview ofthe advanced features of AI agents.
- You will broaden your horizons and learn new areas of application for AI-assisted software development.
- You'll gain advanced insights into how to configure AI assistants, create your own workflows, and integrate various AI models.
- You can assess which legal implications and liability issues are involved when you have code generated by AI.
This training training is conducted in a group of a maximum of 12 participants using the Zoom video conferencing software.
Individual support from the trainers is guaranteed - in the virtual classroom or individually in break-out sessions.
Once you have registered, you will find all the information, downloads and extra services for this training course in your online learning environment.
This training is aimed at everyone who works in software development: developers, DevOps engineers, data scientists, machine learning engineers, software testers, system architects, product owners and many more.
IT consultants as well as team and tech leads will get a good impression of how and with which AI tools software teams can be supported.
IT projectproject managers and service managers learn about tools, processes and methods that can be used to increase productivity and speed in software projects.
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