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Prompt engineering masterclass : from beginner to advanced.

O'Reilly Online Learning: Academic/Public Library Edition Available online

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Format:
Video
Contributor:
LM Academy, instructor.
Packt Publishing, publisher.
Language:
English
Subjects (All):
Application program interfaces (Computer software).
Prompting (Education)--Data processing.
Prompting (Education).
Written communication--Data processing.
Written communication.
Narration (Rhetoric)--Data processing.
Narration (Rhetoric).
Natural language generation (Computer science)--Computer programs.
Natural language generation (Computer science).
Physical Description:
1 online resource (1 video file (15 hr., 52 min.)) : sound, color.
Edition:
[First edition].
Place of Publication:
[Birmingham, United Kingdom] : Packt Publishing, 2025.
Summary:
In this 15-hour course, you'll embark on a comprehensive journey through prompt engineering, from the basics of API usage to advanced techniques for optimizing AI systems. With hands-on labs and real-world projects, you'll master the art of designing and deploying AI solutions using OpenAI and Anthropic models. What I will be able to do after this course Grasp essential prompt engineering concepts for AI systems Set up and configure your AI development environment efficiently Create custom AI applications using the OpenAI and Anthropic APIs Build real-world projects, such as AI commit message generators Master core AI concepts like tokenization and context windows Course Instructor(s) Lauro Fialho M©ơller is a Senior Infrastructure Consultant at Thoughtworks, specializing in Cloud Computing, DevOps, AI, and FinOps. With extensive expertise in AWS, Kubernetes, and CI/CD pipelines, Lauro is passionate about knowledge-sharing and fostering career growth within the tech community. Who is it for? This course is designed for developers, data scientists, and AI enthusiasts interested in enhancing their prompt engineering skills for real-world applications. Ideal for individuals with basic programming knowledge, particularly in Python, and familiarity with APIs or machine learning concepts.
Notes:
OCLC-licensed vendor bibliographic record.
ISBN:
9781806708499
OCLC:
1550486181

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