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Duration 14 hours
Course Outline
Foundations of Gemini 3 in Enterprise Contexts
- Essential reasoning, planning, and multimodal features
- Enterprise-specific use cases and value propositions
- Introduction to AI Studio and Vertex AI workflow utilities
Navigating Multimodal Inputs and Outputs
- Processing text, images, documents, and structured data
- Constructing multimodal prompts and workflows
- Synthesizing modalities to generate deeper insights
Advanced Reasoning and Decision Support
- Formulating multi-step reasoning prompts
- Conducting scenario planning and evaluation
- Developing decision-support assistants
Enterprise Workflow Architecture in AI Studio
- Initiating and managing projects within AI Studio
- Linking datasets and internal enterprise content
- Building interactive reasoning workflows
Constructing Multimodal Pipelines in Vertex AI
- Leveraging Vertex AI Extensions and agents
- Integrating APIs, tools, and external systems
- Testing and deploying multimodal pipelines
Prompt Engineering for Strategic Planning and Execution
- Techniques for structuring reasoning prompts
- Iterative refinement and prompt evaluation
- Addressing ambiguity and complex enterprise challenges
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
- Ensuring data protection and enterprise governance
- Implementing responsible AI policies and safeguards
- Overseeing model management and auditability
Conclusion and Future Pathways
Requirements
- A solid grasp of fundamental AI concepts
- Proficiency with cloud-based enterprise platforms
- Basic knowledge of workflow or process design principles
Target Audience
- Product managers
- Knowledge workers
- Enterprise architects
Testimonials (1)
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