Online or in-house trainings within
Europe
All workshops in English or
German
Full days or half days
Content and schedule adapted to your needs
Learn how to integrate AI capabilities across your entire stack, from intelligent frontends to smart backends and AI-powered APIs.
This is why you should participate in the workshop (for developers)
- Avoid weeks of exploring scattered tutorials and frameworks to find out which AI technologies work best for frontend and backend integration
- To learn on your own is not for everyone, instead join an interactive session with an expert trainer and a group of participants
- Boost your career and stay up-to-date with the latest AI technologies that transform modern web applications
This is why you should participate in the workshop (for decision makers)
- Thinking about integrating AI features into your web applications? Evaluate the best approaches in short time and find out what works best for your architecture
- Reduce time-to-market by enabling your team to implement AI features efficiently without costly experimentation
- Educate your team and your company with the latest technologies in order to stay competitive
Schedule
3 full days or 6 half days
Description
In this course, you’ll discover how to seamlessly integrate AI technologies into full-stack applications, covering both frontend and backend implementations. We’ll explore practical approaches to embed language models into your existing tech stack, from creating intelligent user interfaces to building robust AI-powered APIs. Rather than treating AI as a separate component, you’ll learn how to weave it naturally into your application architecture, making it an integral part of the user experience.
We will examine real-world implementation patterns for common full-stack scenarios: building conversational interfaces with streaming responses, implementing intelligent search and autocomplete features, creating AI-assisted forms and workflows, and designing efficient caching strategies for LLM responses. You’ll learn how to handle authentication, rate limiting, and cost management when exposing AI capabilities through your APIs.
Throughout the workshop, we’ll work with modern frameworks and tools across the stack. For the backend, we’ll implement AI integrations in Java Spring Boot and Go, or your preferred server-side technology, while on the frontend we’ll explore integration patterns for React and other modern UI frameworks. We will also address critical production concerns like error handling, monitoring AI service performance, implementing fallback strategies, and ensuring data privacy when processing user inputs through external AI services.
Beyond integrating AI into your applications, you’ll also learn how to leverage AI tools throughout your development process. We’ll explore how AI-powered assistants like Claude Code or GitHub Copilot can accelerate your coding, help write unit tests, and support code review. You’ll discover how to use AI for debugging complex issues, generating documentation, and automating repetitive development tasks, making you more productive across the entire software development lifecycle.
About me
I work since more than 20 years as a developer, product manager and AI lead with language technologies. Starting with speech recognition and machine translation I now focus on education in AI, LLMs and semantic technologies.
Check out my AI trainings.
Contact me and book your training.