Generative AI in software development - with GitHub Copilot, ChatGPT & Co
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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
- Writing, debugging and documenting 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
- Security auditing with AI
4. generative AI used creatively
- Building extensions for GitHub Copilot
- Let GitHub Copilot learn from existing code
- Use different AI models and host them locally
- 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 , you will practise using AI assistants using practical examples. GitHub Copilot and ChatGPT will be used in particular. The paid versions are required for some of the functions used. If you would like to try out all the exercises yourself, we recommend that you get access to them. Both tools are available on the manufacturer's websites as monthly subscriptions.
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 will get an overview ofadvanced features of GitHub Copilot and learn about new powerful tools like GitHub Codespaces and Devin AI.
You will broaden your horizons and learn new areas of application for AI-assisted software development.
You will gain advanced insights into how you can customize AI assistants, create your own workflows and integrate different 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.
The practical exercises are mainly carried out with GitHub Copilot and ChatGPT. Access to the paid versions is not mandatory for participation in the course, but it is an advantage. The trainers will assist you in carrying out the practical exercises.
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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