 Live Instructor-Led Training Classrooms are equipped with Digital Whiteboard Certified Instructor Tuition Book/Curriculum Extensive Hands-on Lab Activities One Exam Voucher + Proctor Fee (Valued at $99.00 ) with one year validity Practice Exam Refreshments (N/A: Virtual/WebEx) Lunch (N/A: Evening & Virtual/WebEx)
What do you need for Virtual/Zoom class?
Computer & Internet Access
All students will be provided with URL information, to link to the Zoom class that they have signed up for, the required lab facilities, and a toll free number for completely integrated audio.
The Google Cloud Generative AI Leader Certification Training course is designed for professionals who want to understand how generative AI can transform business operations, improve productivity, support decision-making, and create new opportunities across organizations.
This course helps students build business-level knowledge of generative AI, Google Cloud’s generative AI offerings, and the strategies organizations can use to adopt AI responsibly and effectively.
Students will learn the fundamentals of generative AI, how Google Cloud supports AI-powered solutions, how to improve generative AI model output, and how to connect AI use cases to real business goals.
This training covers key Generative AI Leader knowledge areas, including:
Fundamentals of generative AI
Google Cloud’s generative AI products and services
Techniques to improve generative AI model output
Business strategies for successful generative AI solutions
Responsible AI adoption, governance, and risk awareness
By completing this course, students will build practical knowledge in generative AI concepts, Google Cloud AI tools, prompt improvement, business use cases, AI strategy, and responsible AI implementation.
To get the most out of the Google Cloud Generative AI Leader Certification Training, ASM recommends that candidates have an interest in understanding how generative AI can be used in business, technology, operations, customer service, productivity, and innovation.
No technical prerequisites are required: Google Cloud lists no formal prerequisites for the Generative AI Leader certification exam, making it accessible to students from both technical and non-technical backgrounds.
Basic business or workplace technology experience: Recommended for students who want to understand how generative AI can support business goals, improve workflows, and create value across different departments.
Basic familiarity with cloud computing concepts: Helpful for understanding how Google Cloud services support generative AI solutions, although deep technical cloud experience is not required.
Interest in AI strategy and responsible AI adoption: Recommended for students who want to understand how organizations can adopt generative AI responsibly while considering governance, privacy, risk, security, and ethical use.
Candidates are also recommended to have basic computer navigation skills and a willingness to learn how generative AI tools are used in modern business environments.
Why these prerequisites are recommended: They help students focus on generative AI concepts, Google Cloud AI offerings, business use cases, model output improvement, and responsible AI strategy without needing to spend time on advanced programming or engineering topics.
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The Google Cloud Generative AI Leader certification is designed for professionals who want to understand how generative AI can help organizations innovate, improve productivity, and make better use of data and cloud technology.
As more organizations adopt AI tools, leaders, managers, analysts, administrators, sales teams, project teams, and technical professionals need a practical understanding of what generative AI can do, where it fits, and how it should be used responsibly.
Reasons to consider Google Cloud Generative AI Leader include:
Accessible for many job roles: This certification is designed for professionals with or without hands-on technical experience.
Business-focused AI knowledge: Learn how generative AI can support productivity, customer experience, operations, content creation, decision-making, and innovation.
Google Cloud relevance: Understand how Google Cloud’s generative AI offerings can help organizations build and use AI-powered solutions.
Responsible AI awareness: Build knowledge around AI governance, risk, security, privacy, ethical use, and responsible adoption.
Career growth: Develop AI knowledge that can support roles in business, technology, project management, operations, sales, marketing, data, cloud, and leadership.
