AI Coding Essentials
Leverage AI tools to enhance coding efficiency, automate repetitive tasks, and unlock innovative development workflows.
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)
AI Tools & Ecosystem
AI-Coding Input Design
AI-Coding Implications
Hands-On Labs
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:
- Content based on real scenarios from everyday developer life
- Practical exercises in the form of hands-on labs
- Official training partners (Mondoo & IBM HashiCorp)
- Lifetime access to course materials
- Update information even after the workshop
- Experts with real project experience
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
Benefits
Multiple
Hands On Labs
Personal Certificate
Virtual Classroom
Own Lab-Environment
Need more than training?
Training is often a first step. Many teams realize they need support beyond the course to make things work in production, speed up the process or bridge short-term bottlenecks..
We can support you beyond training, through hands-on consulting, project collaboration, or as an embedded enablement team, we are helping you apply what you learned, validate decisions, and move forward with confidence.
Why Infralovers is your perfect partner
DE | EN
We speak two languages
100%
Real world experiences
10+
Years of experience
1500+
Training hours held per year
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