Essential Knowledge LLM / GenAI knowledge for enterprise Java
Seating is limited -- Register Now!
at Live, virtual workshop
Language: English
Price: 150€ (+19% MwSt. [VAT])
Learn how to...
We will create together a (serverless) MicroProfile application with LLM access.
Goals
- Introduction to Large Language Models (LLMs) and Generative AI
- Understanding LLM basics
- Overview of LangChain4j and Quarkus and its role in Java-based AI development
- Types of models (GPT, BERT, etc.)
- Tokenization and embeddings
- Prompt engineering techniques
- Enterprise "AI" Integration
- API
- tools and functions
- structure output
- RAG vs. large context windows
- first party integration
- AWS Bedrock
- Hands-on with LangChain4j
- Basic text generation
- Question answering systems
- Rule Engines
- Expert Systems
- Advanced LangChain4j features
- Chaining multiple AI tasks
- Memory and context management
- Integrating with external tools and APIs
- Building a practical AI application
- Designing the application architecture
- Implementing core functionalities
- Optimizing for performance and scalability
- AI ethics and responsible development
- Bias detection and mitigation
- Privacy considerations
- Ethical use of AI in applications
- Deploying AI applications
- Containerization with Docker
- Cloud deployment options
- Monitoring and maintaining AI systems
- Future trends in AI and potential impacts on Java development
- RAG
- cost driven architectures
- fault tolerance
- CI/CD
- subagents
- Fine Tuning
- Pure Java AI
I will ... workshop a GIT-repository with all intermediate steps and a deployable application.
For local model inference (fully optional) you will need a fastest possible machine. For all other use cases a typical development machine is sufficient.
Feel free to contact me / register via email: workshops[-AT-]adam-bien.com
You might be also interested in: Effective Java EE Workshop [one day later].
To register for both workshops, just mention it in the comment section.