Detailed Course Outline
Module 1 - Gen AI: Beyond the chatbot
Topics
- Introduction to gen AI for businesses
- Introduction to gen AI foundations
- Gen AI strategy
Objectives
- 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.
Activities
- 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?
Module 2 - Gen AI: Unlock foundational concepts
Topics
- Core gen AI concepts
- Foundation models
- Responsible AI
Objectives
- 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.
Activities
- Activity: Supervised, unsupervised, or reinforcement learning?
- Discussion: Model matchmaker
- Discussion: Organizational roadblocks to responsible AI
Module 3 - Gen AI: Navigate the landscape
Topics
- The gen AI landscape
- Gen AI agents and applications
- Gen AI platform, model, and infrastructure
- Gen AI project resources and management
Objectives
- 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.
Activities
- Discussion: Conversational and workflow agents
- Activity: The writing assistant
- Activity: Edge or cloud?
- Activity: Best solution
Module 4 - Gen AI apps: Transform your work
Topics
- Prompting techniques
- Gen AI for productivity
- Gemini for Google Cloud
Objectives
- 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.
Activities
- Discussion: Customer service
- Try it: Step into the role
- Activity: Pick-a-product
- Discussion: Gemini for Google Cloud in your organization
Module 5 - Gen AI agents: Transform your organization
Topics
- Today’s agents
- Building agents
- Enhancing the customer experience with agents
Objectives
- 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.
Activities
- Activity: The better prompt technique
- Activity: Agent tooling example – Meeting location planner APIs
- Activity: Pick-a-product