Generative AI Leader
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Generative AI
On-Site, Virtual
2 days
In this course, you will take a journey from a broad overview of generative AI to understanding how to leverage generative AI and Google Cloud for organizational transformation.
Learning objectives
- Describe how generative AI transforms organizations across business functions and industries.
- Define core gen AI concepts (artificial intelligence, GenAI, machine learning, etc.).
- Identify the core layers of the GenAI landscape (applications, agents, platforms, models, and infrastructure).
- Explain how you can combine the components of generative AI agents to build powerful solutions.
- Identify Google Cloud products and solutions that support the implementation and scaling of generative AI initiatives.
Audience
This course is intended for business professionals of all levels and job roles who want to contribute to their company's GenAI transformation. For developers and hands-on practitioners, more in-depth technical training for Google Cloud AI/ML products is available in our specialized courses.
Course outline
- Discover how generative AI transforms organizations across business functions and industries.
- Explore how generative AI uses foundation models and prompt engineering to create value.
- Identify Google Cloud's unique strengths in the field of generative AI.
- Explain the Google-Cloud-recommended steps to successfully implement a transformational GenAI solution.
- Define core generative AI concepts.
- Explain how data types are used in generative AI for business solutions, innovation, and competitive edge.
- Explain the role of foundation models in generative AI.
- Describe the Google-Cloud-recommended strategies for handling LLM limitations.
- Describe the challenges and key factors involved in responsibly and securely developing and deploying AI.
- Describe the layers of the GenAI landscape.
- Determine strategic entry points within the GenAI landscape to address specific business needs and drive innovation.
- Describe the components of the Google Cloud GenAI portfolio.
- Explain how Google Cloud’s AI-optimized resources support GenAI development.
- Describe the business factors to consider when deciding what to use for specific applications.
- Explain prompt engineering techniques and how they drive better results.
- Develop automated workflows by using generative AI prompt templates and tools.
- Describe the core functionality and business value of using Gemini for Google Workspace.
- Describe the core functionality and business value of using Gemini for Google Cloud.
Define the components of generative AI agents and how they work together.
Explain how you can combine the components of generative AI agents to build powerful solutions.
Describe how you can use Google Cloud’s GenAI products to create generative AI agents and solutions.
Explain how to effectively lead and manage organizational transformation with GenAI.
