Google Cloud and Generative AI
Transform content creation and discovery, research, customer service, and developer efficiency—all with the power of Google Cloud generative AI

Introduction to Generative AI for Business Leaders

2 HOURS
This course is designed for business leaders and decision-makers within organizations who are seeking to gain a comprehensive understanding of generative AI and its potential impact on their businesses. This workshop targets senior leaders from a variety of industries, including but not limited to technology, finance, healthcare, retail, and manufacturing. The overall goal of this course is to educate leaders on the potential impact generative AI can have in their organizations, educate them about generative AI services on Google Cloud, and inspire leaders to start thinking about what is possible with generative AI technologies.

Introduction to Generative AI for Business Users

2 HOURS
This course is tailored for professionals who are actively involved in executing and managing business processes within their organizations. This course is designed to empower participants with a foundational understanding of generative AI and GenAI tools on Google Cloud, enabling them to identify opportunities to leverage GenAI tools and platforms within their specific roles and functions.

Industry Use Cases for Generative AI

2 HOURS
This course is designed for business professionals and technical individuals who are interested in understanding the practical applications of generative AI in various industries. This course targets professionals across different roles, including business analysts, data scientists, software developers, business users, and decision-makers who are specifically interested in leveraging generative AI for business solutions.

Generative AI Explorer

3 HOURS
Explore Vertex AI Studio and the PaLM API in Vertex AI, all while taking part in a friendly competition! You will create and test a prompt, create a conversation, and explore the prompt gallery through hands-on activities. After completing these tasks, you will compete to be the first to finish a challenge lab using what you have learned from earlier labs.

Text Generation for Applications Using Vertex AI Studio

1 DAY
In this course, you will explore the use of text generation models using Vertex AI Studio on Vertex AI and learn how to incorporate those models into your application using the PaLM API and client libraries. You will learn how to design and tune prompts to ensure the best outputs for your applications and discuss how to fine-tune foundational models to improve model output quality.

Interactive Chat for Applications Using Vertex AI Studio

1 DAY
In this course, you will explore the use of interactive multi-turn chat models using Vertex AI Studio on Vertex AI and learn how to incorporate those models into your application using the PaLM API and client libraries. You will learn how to design and test chat prompts to ensure the best outputs for your applications and discuss how to choose parameters for the PaLM API to improve response quality for your use case.

Vertex AI Model Garden

1 DAY
In this course, after being introduced to Vertex AI as a machine learning platform through the lens of Model Garden, you will learn how to leverage pre-trained models as part of your machine learning workflow and how to fine-tune models for your specific applications.

Introduction to Responsible AI in Practice

1 DAY
In this course, you will do a high-level exploration of Google’s recommended best practices for responsible AI usage across different areas of focus: Fairness, Interpretability, Privacy, and Safety. Along the way, you will learn how you can leverage different open-source tools and tools on Vertex AI to explore these concepts and spend time considering the different challenges that arise with generative AI.

Vertex AI Agent Builder

1 DAY
In this course, you learn how to use Vertex AI Agent Builder to create search engines and chat applications. You will then explore how to integrate these search engineers and chat applications into your own applications. Finally, you learn how to manage the tools built in Vertex AI Agent Builder in production

Introduction to Developer Efficiency on Google Cloud

1 DAY
In this course, you are introduced to how generative AI can be used to make developers more efficient at writing code and implementing new features into applications. Along the way, you learn principles of prompt design and how to explore the different models available on Google Cloud by using Vertex AI Model Garden.

Application Development with LLMs on Google Cloud

1 DAY
In this course, you explore tools and APIs available on Google Cloud for integrating large language models (LLMs) into your application. After exploring generative AI options on Google Cloud, next you explore LLMs and prompt design in Vertex AI Studio. Then you learn about LangChain, an open-source framework for developing applications powered by language models. After a discussion around more advanced prompt engineering techniques, you put it all together to build a multi-turn chat application by using LangChain and the Vertex AI PaLM API.

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