Content:

The course covers the following topics:

- Introduction and Lab Setup
... - Welcome and Workshop Objectives
... - Overview of Lab Environment and Tool Setup
- Fundamental Understanding of AI: From History to current Development
- AI in Software Development: The Three Pillars
... - Understanding: AI for Code Comprehension and Analysis
... - Creating: AI-assisted Code Generation and Problem Solving
... - Assistant: AI as Development Aid for Testing, Debugging, and Other Tasks
- Hands-on Exercises: Starting with the Basics
... - Creating a Good Prompt
... - Using AI for Internet Search
... - Practical Exercises , covering all Three Pillars
- AI Integration: Local AI Usage
... - Setting Up and Configuring a Local LLM
... - Understanding LLM Selection Criteria
- AI Integration: Integrating AI into an IDE
... - Introduction and configuration of multiple plugins
... - Practical Exercises , covering all Three Pillars
- AI-assisted Development with an Agentic Workflow
... - Introduction to Agents and Agentic Workflow
... - Configuration and Usage of Agentic Tools
... - Practical Exercises , covering all Three Pillars
- AI Command Line
... - Introduction to CLI Tools
... - Simple Workflow Integration
... - Practical Exercises and creating simple automations
- Summary and Q&A

Disclaimer: The actual course content may vary from the above, depending on the trainer, implementation, duration and constellation of participants.

Whether we call it training, course, workshop or seminar, we want to pick up participants at their point and equip them with the necessary practical knowledge so that they can apply the technology directly after the training and deepen it independently.