What You Need to Know Before
You Start
Starts 8 June 2025 12:19
Ends 8 June 2025
00
days
00
hours
00
minutes
00
seconds
45 minutes
Optional upgrade avallable
Not Specified
Progress at your own speed
Free Video
Optional upgrade avallable
Overview
Explore the integration of LLMs with agentic AI through Quarkus, focusing on patterns like RAG and guardrails to create more reliable and auditable AI applications with practical examples.
Syllabus
- Introduction to LLM and Agentic AI
- Fundamentals of Quarkus
- Integration of LLMs within Quarkus
- Patterns in AI Integration
- Implementing Guardrails in AI Systems
- Ensuring Reliability and Auditability
- Practical Examples and Case Studies
- Summary and Best Practices
- Additional Resources and Further Reading
Overview of Large Language Models (LLMs)
Definition and role of Agentic AI in systems
Quarkus Framework Basics
Benefits of Using Quarkus for AI Integrations
Setting up a Quarkus Project
Implementing LLM APIs in Quarkus
Handling LLM output in Quarkus
Retrieval-Augmented Generation (RAG) pattern
Practical implementation of RAG within Quarkus
What are Guardrails in AI?
Strategies for Guardrail Implementation in Quarkus
Use Cases and Examples of Guardrails
Techniques for Ensuring AI Reliability
Auditability Best Practices in AI Systems
Step-by-step Guide to Building a Reliable AI Application
Case Study: A Comprehensive Example with Quarkus
Review of Key Concepts
Best Practices for Integrating LLM and Agentic AI with Quarkus
Suggested Books and Articles
Online Courses and Tutorials
Subjects
Programming
