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Course Outline
Foundations of Gemini 3 for Enterprise Applications
- Core reasoning, planning, and multimodal capabilities
- Enterprise use cases and key value drivers
- Overview of AI Studio and Vertex AI workflow tooling
Understanding Multimodal Inputs and Outputs
- Processing text, images, documents, and structured data
- Crafting multimodal prompts and workflows
- Synthesizing modalities for richer insight generation
Reasoning and Decision Support
- Constructing multi-step reasoning prompts
- Scenario planning and evaluation methods
- Designing decision-support assistants
Enterprise Workflow Design in AI Studio
- Project creation and management in AI Studio
- Connecting datasets and enterprise content
- Designing interactive reasoning workflows
Building Multimodal Pipelines in Vertex AI
- Leveraging Vertex AI Extensions and agents
- Integrating APIs, tools, and external systems
- Deployment and testing of multimodal pipelines
Prompt Engineering for Planning and Execution
- Strategies for structured reasoning prompts
- Iterative prompt refinement and evaluation
- Managing ambiguity and complex enterprise tasks
Workflow Automation and Orchestration
- Linking Gemini 3 outputs to business processes
- Designing AI-assisted planning and review cycles
- Creating reusable workflow components
Security, Governance, and Responsible AI Practices
- Data protection and enterprise governance
- Responsible AI policies and safeguards
- Managing model oversight and auditability
Summary and Next Steps
Requirements
- A solid grasp of fundamental AI concepts
- Hands-on experience with cloud-based enterprise tools
- A basic understanding of workflow or process design
Audience
- Product managers
- Knowledge workers
- Enterprise architects
14 Hours
Testimonials (1)
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