GenAI foundations and Prompt engineering.

Format:

Video

Contributor:

Starweaver, instructor.

Packt Publishing, publisher.

Language:

English

Subjects (All):

Natural language generation (Computer science).

Artificial intelligence--Computer programs.

Artificial intelligence.

Natural language processing (Computer science).

Physical Description:

1 online resource (1 video file (2 hr., 15 min.)) : sound, color.

Edition:

[First edition].

Place of Publication:

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

Summary:

In this 2-hour course, build GenAI application foundations across system architecture, LLM integration, model selection, prompt patterns, prompt chains, support bots, QA testing, and ROI metrics. Design reliable AI workflows for business use cases. What I will be able to do after this course Apply GenAI architecture principles Compare LLM integration options Construct business prompt patterns Optimize prompt chains and context Test AI outputs with QA frameworks 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 software engineers, product managers, data scientists, and business analysts exploring AI integration, AI-driven products, workflow optimization, and support automation.

Notes:

OCLC-licensed vendor bibliographic record.

ISBN:

9781808349850

OCLC:

1601079497