Google GenAI Leader: Executive Masterclass – From Vision to Value is an in-depth, leadership-oriented program designed to equip business and technology leaders with the strategic, technical, and organizational capabilities required to successfully adopt and scale Generative AI in the enterprise.
Aligned with the Google GenAI Leader certification, this course goes beyond theory to focus on real-world execution—helping leaders understand not only what Generative AI is, but how to apply it responsibly, securely, and at scale to deliver measurable business outcomes. Participants will learn how to translate GenAI potential into practical initiatives across core business functions, with a strong emphasis on regulated and data-sensitive industries, particularly Banking, Financial Services, and Insurance (BFSI)—while keeping all frameworks broadly applicable to any industry.
The program is structured across four core learning sessions and a capstone project, covering GenAI strategy and foundations, AI and data fundamentals, enterprise GenAI architecture and solution stacks, and applied GenAI with organizational transformation. Learners gain hands-on exposure to Google Cloud’s GenAI ecosystem, including Vertex AI, Gemini, Model Garden, AI agents, and NotebookLM, and learn how to evaluate models, data readiness, security, cost, and governance trade-offs at an executive level.
Throughout the course, participants work with realistic business scenarios, case studies, and decision frameworks—mirroring the kinds of discussions held with executive committees, transformation offices, and regulators. The course culminates in a capstone project, where learners design and demonstrate a GenAI solution on Google Cloud, such as an internal knowledge chatbot or AI agent, complete with architecture, cost considerations, responsible AI controls, and an implementation roadmap.
By the end of the program, learners will be fully prepared to pass the Google GenAI Leader exam and, more importantly, to lead GenAI initiatives from vision to value—driving productivity, improving decision-making, and enabling sustainable AI-driven transformation within their organizations.
