Course
digicode: GALILT
Generative AI Leader
In this course, you will take a journey from a broad overview of gen AI to understanding how to leverage gen AI and Google Cloud for organizational transformation.
Duration
2 days
Price
1'500.–
Course documents
Official courseware
Course facts
- Describing how generative AI transforms organizations across business functions and industries
- Defining core gen AI concepts (artificial intelligence, gen AI, machine learning, etc.)
- Identifying the core layers of the gen AI landscape (applications, agents, platforms, models, and infrastructure)
- Explaining how you can combine the components of generative AI agents to build powerful solutions
- Identifying Google Cloud products and solutions that support the implementation and scaling of generative AI initiatives
- Introduction to gen AI for businesses
- Introduction to gen AI foundations
- Gen AI strategy
- 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 gen AI solution
- Discussion: What is your why?
- Discussion: Feeling inspired
- Try it: Hands-on with the Gemini app
- Discussion: Benefits of Google Cloud when building AI solutions
- Try it: Prioritization exercise
- Activity: Augmentation or automation?
- Core gen AI concepts
- Foundation models
- Responsible AI
- 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
- Activity: Supervised, unsupervised, or reinforcement learning?
- Discussion: Model matchmaker
- Discussion: Organizational roadblocks to responsible AI
- The gen AI landscape
- Gen AI agents and applications
- Gen AI platform, model, and infrastructure
- Gen AI project resources and management
- Describe the layers of the gen AI landscape
- Determine strategic entry points within the gen AI landscape to address specific business needs and drive innovation
- Describe the components of the Google Cloud gen AI portfolio
- Explain how Google Cloud’s AI-optimized resources support gen AI development
- Describe the business factors to consider when deciding what to use for specific applications
- Discussion: Conversational and workflow agents
- Activity: The writing assistant
- Activity: Edge or cloud?
- Activity: Best solution
- Prompting techniques
- Gen AI for productivity
- Gemini for Google Cloud
- 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
- Discussion: Customer service
- Try it: Step into the role
- Activity: Pick-a-product
- Discussion: Gemini for Google Cloud in your organization
- Today’s agents
- Building agents
- Enhancing the customer experience with agents
- 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 gen AI products to create generative AI agents and solutions
- Explain how to effectively lead and manage organizational transformation with gen AI
- Activity: The better prompt technique
- Activity: Agent tooling example – Meeting location planner APIs
- Activity: Pick-a-product
- Gemini
- Gemini Advanced
- Gemini in Google Workspace
- Gemini in Google Cloud
- Google Agentspace
- NotebookLM
- AI Applications
- Google AI Studio
- Vertex AI
- Vertex AI Studio