GenAI data engineering and RAG systems.

Format:

Video

Contributor:

Starweaver, instructor.

Packt Publishing, publisher.

Language:

English

Subjects (All):

Natural language processing (Computer science).

Artificial intelligence.

Physical Description:

1 online resource (1 video file (2 hr., 52 min.)) : sound, color.

Edition:

[First edition].

Place of Publication:

[Birmingham, United Kingdom] : Packt Publishing, 2026.

Summary:

In this 2-hour course, learners build GenAI data engineering and RAG skills for data pipelines, knowledge bases, retrieval optimization, and support applications. What I will be able to do after this course Construct AI-ready data pipelines Implement advanced RAG architectures Design enterprise knowledge bases Optimize retrieval with reranking Validate RAG response quality Course Instructor Starweaver collaborates with a global network of expert educators to deliver engaging, practical learning experiences. Focused on empowering individuals and organizations, they equip learners with skills to navigate challenges in technology, business, and design. Who is it for? This course is for data engineers, ML engineers, software engineers, and AI/ML specialists building data pipelines, knowledge systems, and Retrieval-Augmented Generation solutions.

Notes:

OCLC-licensed vendor bibliographic record.

ISBN:

9781808345036

OCLC:

1602635507