Google Cloud Generative AI Leader Training 2025
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Google Cloud Generative AI Leader Training 2025
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What you'll learn
Understand the core concepts of Generative AI, including NLP and large language models.
Explore the machine learning lifecycle and how it relates to responsible AI deployment.
Gain hands-on experience using Google Cloud’s generative AI tools like Vertex AI and Gemini.
Develop strategies to mitigate AI risks, including bias and hallucination, within enterprise applications.
Skills you'll gain
Tools you'll learn
Details to know
March 2026
7 assignments
See how employees at top companies are mastering in-demand skills
There are 6 modules in this course
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.
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.
What's included
4 videos1 reading
4 videos•Total 5 minutes
- Welcome to the Generative AI Leader Certification Course•1 minute
- Google Cloud Generative AI Leader - Exam Overview and Preparation Strategy•2 minutes
- Who Should Take This Course – Is This Course Right for You?•1 minute
- How to Navigate and Maximize This Course•1 minute
1 reading•Total 10 minutes
- Full Course Resources•10 minutes
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.
What's included
14 videos1 assignment
14 videos•Total 26 minutes
- What is Generative AI (Generative AI Explained)? Definitions and Differentiators•1 minute
- Core Concepts of Generative AI: AI, ML, NLP, LLMs, and Foundation Models•2 minutes
- Mastering Prompt Engineering, Diffusion Models, and Multimodal AI•2 minutes
- Real-World Business Applications of Generative AI•1 minute
- Supervised, Unsupervised, and Reinforcement Learning in Generative AI•2 minutes
- The Machine Learning Lifecycle: From Data Ingestion to Responsible Deployment•2 minutes
- Google Cloud AI Tools Mapped to the ML Lifecycle•2 minutes
- Choosing the Right Foundation Model: Modality, Context, and Cost•2 minutes
- Model Performance, Fine-Tuning, and Security in Generative AI•2 minutes
- Data Quality and Accessibility: Foundations of Responsible AI•2 minutes
- Structured vs. Unstructured Data in Generative AI Workflows•3 minutes
- Labeled vs. Unlabeled Data: Choosing the Right Training Strategy•2 minutes
- The Gen AI Technology Stack: From Infrastructure to Applications•2 minutes
- Gemini, Gemma, Imagen, and Veo: Google's Foundation Models Explained•2 minutes
1 assignment•Total 15 minutes
- Fundamentals of Generative AI: Concepts, Models, and Business Relevance - Assessment•15 minutes
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.
What's included
16 videos1 assignment
16 videos•Total 24 minutes
- What Sets Google Apart in Generative AI•1 minute
- Enterprise-Ready AI: Privacy, Scale, and Reliability on Google Cloud•1 minute
- Open, Governed, and Accountable: Google's AI Strategy for Enterprises•1 minute
- TPUs, GPUs, and the AI Hypercomputer: Scaling Performance with Google•1 minute
- Data Privacy, Model Governance, and Control with Google Cloud AI•1 minute
- Gemini App vs. Gemini Advanced: Choosing the Right Enterprise Tool•1 minute
- Google Agentspace: Custom Agents, NotebookLM, and Search Integration•1 minute
- Gemini for Google Workspace: AI Inside Gmail, Docs, Sheets, and More•1 minute
- Vertex AI Search vs. Google Search: Enterprise Knowledge Retrieval•1 minute
- Customer Engagement AI: Contact Center, Agent Assist, and Insights•1 minute
- Vertex AI, Model Garden, and AutoML: Tools for Every Developer Level•2 minutes
- Retrieval-Augmented Generation (RAG): APIs and Enterprise Workflows•2 minutes
- Vertex AI Agent Builder: Low-Code Tools for Custom AI Workflows•2 minutes
- Extensions, Plugins, and Data Access: Making Agents Actionable•2 minutes
- Speech, Vision, Translation, and Document AI: Google Cloud APIs•2 minutes
- Google AI Studio vs. Vertex AI Studio: Prototyping vs. Production•2 minutes
1 assignment•Total 15 minutes
- Google Cloud Gen AI: Platform, Tools, and Enterprise Capabilities - Assessment•15 minutes
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.
What's included
9 videos1 assignment
9 videos•Total 21 minutes
- Common Gen AI Risks: Bias, Hallucination & Knowledge Gaps•2 minutes
- Mitigation Strategies: Grounding, RAG, HITL & Fine-Tuning•2 minutes
- Monitoring Gen AI: KPIs, Observability & Feature Store•2 minutes
- Prompt Engineering: Zero-Shot, One-Shot, and Few-Shot Techniques•2 minutes
- Role Prompting and Prompt Chaining for Structured AI Behavior•2 minutes
- Chain-of-Thought and ReAct Prompting: Reasoning and Action•3 minutes
- Grounding in Gen AI: Enterprise, Third-Party, and Public Data•2 minutes
- How RAG Improves Output Accuracy, Relevance, and Trust•2 minutes
- Tuning Output with Sampling Parameters: Tokens, Temperature, Top-p•3 minutes
1 assignment•Total 15 minutes
- Responsible Generative AI: Risks, Grounding, and Output Control - Assessment•15 minutes
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.
What's included
9 videos1 assignment
9 videos•Total 24 minutes
- Mapping Solutions – Text, Image, Code, Personalization•2 minutes
- Aligning Solutions with Business Needs•2 minutes
- Steps to Integrate Gen AI into the Enterprise•3 minutes
- Impact Measurement Techniques•3 minutes
- Google's Secure AI Framework (SAIF)•3 minutes
- IAM, Secure-by-Design Infrastructure, Monitoring Tools•3 minutes
- Transparency, Explainability, and Accountability•2 minutes
- Privacy – Anonymization, Pseudonymization•2 minutes
- Bias, Fairness, and Ethical Business Use•3 minutes
1 assignment•Total 15 minutes
- Scaling and Governing Generative AI in the Enterprise - Assessment•15 minutes
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.
What's included
3 videos3 assignments
3 videos•Total 8 minutes
- Sample Questions and Practice Walkthrough•4 minutes
- Common Mistakes and Time Management Tips•3 minutes
- Final Exam Strategies and Certification Success•2 minutes
3 assignments•Total 90 minutes
- Final Exam Preparation and Leadership Readiness•15 minutes
- Full Course Assessment•60 minutes
- Full Course Practice Assessment•15 minutes
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Frequently asked questions
Generative AI refers to a category of artificial intelligence that is designed to generate new content, such as text, images, or other data, by learning patterns from existing data. It is highly relevant today as it is transforming industries by enabling machines to create novel and useful outputs. This technology is being applied in areas like content creation, personalized marketing, customer service, and even drug discovery. Mastery of generative AI can help professionals stay competitive in an increasingly AI-driven world.
The Google Cloud Generative AI Leader Training 2025 is an in-depth program that prepares individuals to become certified Generative AI leaders. The training covers fundamental AI concepts, explores Google Cloud’s AI tools, and addresses the practical application of generative AI in real-world business contexts. Participants will learn how to leverage Google Cloud’s infrastructure and AI solutions to create and deploy scalable generative AI applications.
After completing this training, you will be equipped to design and deploy generative AI solutions using Google Cloud's platform. You will also have the skills needed to manage the entire AI lifecycle, from data collection to model deployment. Additionally, you will be prepared to lead generative AI initiatives within an organization, ensuring scalability, security, and ethical use of AI technologies.
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