Advanced AI Techniques: Retrieval-Augmented Generation (RAG) Essentials: Dive into the cutting-edge field of artificial intelligence with this comprehensive course on Retrieval-Augmented Generation (RAG). You'll explore advanced techniques that combine the power of retrieval-based systems with generative models to create more accurate and context-aware AI solutions. This course is ideal for AI practitioners and developers looking to enhance their expertise in RAG, enabling them to build sophisticated AI applications that leverage the best of both retrieval and generation approaches.
Learning Objectives
- Gain a deep understanding of Retrieval-Augmented Generation (RAG) in AI.
- Learn advanced techniques for integrating retrieval systems with generative models.
- Explore real-world applications of RAG in various industries.
- Develop practical skills in implementing RAG for enhanced AI solutions.
- Master the evaluation and optimization of RAG-based AI systems.
Framework Connections
The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):
Competency Areas
Work Roles
Feedback
If you would like to provide feedback on this course, please e-mail the NICCS team at NICCS@hq.dhs.gov. Please keep in mind that NICCS does not own this course or accept payment for course entry. If you have questions related to the details of this course, such as cost, prerequisites, how to register, etc., please contact the course training provider directly. You can find course training provider contact information by following the link that says “Visit course page for more information...” on this page.