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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.
- Introduction to AI Studio and Vertex AI workflow tools.
Understanding Multimodal Inputs and Outputs
- Processing text, images, documents, and structured data.
- Developing multimodal prompts and workflows.
- Synthesizing modalities to generate richer insights.
Reasoning and Decision Support
- Constructing multi-step reasoning prompts.
- Scenario planning and evaluation methodologies.
- Architecting decision-support assistants.
Enterprise Workflow Design in AI Studio
- Establishing and managing projects in AI Studio.
- Linking datasets and enterprise content sources.
- Building interactive reasoning workflows.
Building Multimodal Pipelines in Vertex AI
- Leveraging Vertex AI Extensions and agents.
- Integrating APIs, tools, and external systems.
- Deploying and validating multimodal pipelines.
Prompt Engineering for Planning and Execution
- Strategies for structuring reasoning prompts.
- Iterative prompt refinement and performance evaluation.
- Navigating ambiguity and complex enterprise tasks.
Workflow Automation and Orchestration
- Aligning Gemini 3 outputs with business processes.
- Designing AI-assisted planning and review cycles.
- Developing reusable workflow components.
Security, Governance, and Responsible AI Practices
- Data protection and enterprise governance frameworks.
- Responsible AI policies and safety safeguards.
- Ensuring model oversight and auditability.
Summary and Next Steps
Requirements
- A solid grasp of fundamental AI concepts.
- Hands-on experience with cloud-based enterprise tools.
- Basic knowledge of workflow or process design principles.
Target Audience
- Product Managers
- Knowledge Workers
- Enterprise Architects
14 Hours
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