Overview

This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Embark on a transformative journey with the Google Cloud Generative AI Leader Training, designed to equip you with the essential skills and knowledge to become a certified Generative AI leader. Through engaging lessons, you will understand the fundamental concepts of Generative AI, including the core technologies such as AI, machine learning, and natural language processing (NLP). The course will provide a comprehensive view of how these technologies are applied in real-world scenarios, particularly in Google Cloud’s ecosystem. You will also dive into critical aspects such as prompt engineering, model performance, and data management, with a focus on practical applications. As you progress, the course guides you through the Google Cloud tools and platforms specifically tailored for generative AI. From TPUs to enterprise-ready AI strategies, you will explore scalable AI solutions designed for businesses of all sizes. You will also be introduced to Google's unique AI technologies, including Gemini, Gemma, and Vertex AI. The course is structured to help you master everything from the AI lifecycle to deployment strategies, ensuring you are well-prepared to work with AI at the enterprise level. This course is ideal for those aiming to work with Google Cloud’s generative AI tools or seeking to build expertise in AI governance, security, and scalability. It's designed for learners interested in AI, cloud computing, and enterprise innovation. A background in technology or business is recommended, but there are no strict prerequisites. The course is suitable for intermediate learners seeking to enhance their expertise in the rapidly evolving field of AI. By the end of the course, you will be able to define key generative AI concepts, apply machine learning techniques to real-world problems, leverage Google Cloud tools to scale AI solutions, and integrate responsible AI practices in enterprise environments.

Syllabus

Introduction

In this module, we will introduce the course structure, objectives, and provide an overview of the certification process. We will also guide you in assessing whether this course is a fit for your background and career aspirations. Lastly, you’ll learn how to navigate and optimize your learning experience throughout the course.

Fundamentals of Generative AI: Concepts, Models, and Business Relevance

In this module, we will dive into the fundamental concepts behind Generative AI, including its definitions and key differentiators. You will learn about AI’s core components, such as ML, NLP, and LLMs, while exploring practical business applications. Finally, we’ll cover essential techniques and their use in shaping innovative AI solutions.

Google Cloud Gen AI: Platform, Tools, and Enterprise Capabilities

In this module, we will explore how Google Cloud’s platform stands apart in the Generative AI landscape. You will learn about its unique tools, including the Gemini suite, and how they integrate into business operations. The module will also highlight how Google’s AI solutions provide scalable, secure, and governed AI capabilities for enterprises.

Responsible Generative AI: Risks, Grounding, and Output Control

In this module, we will focus on the potential risks associated with Generative AI and strategies for mitigating these challenges. You will learn essential techniques like grounding and prompt engineering to ensure responsible AI outputs. We’ll also cover how to monitor and fine-tune AI systems to maintain quality and trustworthiness.

Scaling and Governing Generative AI in the Enterprise

In this module, we will explore how to map Generative AI solutions to specific business needs and align them with organizational goals. You will gain insights into the integration process, including overcoming common challenges and implementing secure and ethical AI practices. This module also covers measuring the impact of AI on business outcomes.

Final Exam Preparation and Leadership Readiness

In this final module, we will prepare you for the certification exam by reviewing essential topics and providing practice questions. You will gain tips for managing your time during the exam and strategies for avoiding common pitfalls. We will conclude with final tips to help you succeed in the exam and earn your Generative AI Leader certification.