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Freemium19hText Generation
DevelopersAI EngineersData ScientistsStudents
Master Generative AI and Large Language Models (LLMs), covering prompt engineering, transformers, and responsible AI development.

Overview

This intermediate course, offered by Google Cloud on Coursera, provides a comprehensive introduction to Generative AI and Large Language Models (LLMs). Learners will delve into the foundational concepts, explore the transformers architecture, and understand how to fine-tune LLMs for specific tasks. Key topics include advanced prompt engineering techniques, encoder-decoder models, and the critical importance of responsible AI development. The course emphasizes practical application, guiding students through building and deploying generative models using Google Cloud tools. It is ideal for developers, data scientists, and AI enthusiasts seeking to develop and implement cutting-edge AI solutions.

Instructor

Google Cloud

Google Cloud Training Team

Google Cloud offers a suite of cloud computing services that runs on the same infrastructure Google uses internally. Their training team designs courses to help individuals and organizations leverage these powerful tools.

Learning Outcomes

  • Understand the fundamentals and applications of Generative AI and LLMs.
  • Explore the transformers architecture and attention mechanisms.
  • Apply prompt engineering techniques to guide LLM behavior.
  • Grasp the concepts of encoder-decoder models and fine-tuning LLMs.
  • Learn about responsible AI development and ethical considerations.
  • Build and deploy generative AI solutions using Google Cloud services.