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Course Outline
Foundations of Gemini 3 in 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
- Handling text, images, documents, and structured data
- Developing multimodal prompts and workflows
- Integrating modalities to generate richer insights
Reasoning and Decision Support
- Constructing multi-step reasoning prompts
- Scenario planning and evaluation
- Designing decision-support assistants
Enterprise Workflow Design in AI Studio
- Creating and managing projects within AI Studio
- Connecting datasets and enterprise content
- Designing interactive reasoning workflows
Building Multimodal Pipelines in Vertex AI
- Utilizing Vertex AI Extensions and agents
- Integrating APIs, tools, and external systems
- Deploying and testing multimodal pipelines
Prompt Engineering for Planning and Execution
- Strategies for structuring reasoning prompts
- Iterative prompt refinement and evaluation
- Addressing 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 core AI concepts
- Experience with cloud-based enterprise tools
- Basic knowledge of workflow or process design
Audience
- Product managers
- Knowledge workers
- Enterprise architects
14 Hours
Testimonials (1)
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