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Duration 14 hours
Course Outline
Foundations of Gemini 3 in Enterprise Settings
- Essential reasoning, planning, and multimodal features
- Enterprise use cases and key value propositions
- Introduction to AI Studio and Vertex AI workflow tools
Navigating Multimodal Inputs and Outputs
- Processing text, images, documents, and structured data
- Formulating multimodal prompts and associated workflows
- Integrating modalities to generate deeper insights
Reasoning and Decision Support
- Constructing multi-step reasoning prompts
- Conducting scenario planning and analysis
- Developing decision-support assistants
Enterprise Workflow Architecture in AI Studio
- Setting up and managing projects within AI Studio
- Linking datasets and corporate content
- Creating interactive reasoning workflows
Developing Multimodal Pipelines in Vertex AI
- Utilizing Vertex AI Extensions and intelligent agents
- Integrating APIs, external tools, and third-party systems
- Deployment and testing of multimodal pipelines
Prompt Engineering for Planning and Execution
- Tactics for creating structured reasoning prompts
- Iterative prompt refinement and performance evaluation
- Addressing ambiguity and complex enterprise challenges
Workflow Automation and Orchestration
- Linking Gemini 3 outputs to business processes
- Structuring AI-assisted planning and review cycles
- Building reusable workflow components
Security, Governance, and Responsible AI
- Data protection and corporate governance standards
- Responsible AI policies and safety measures
- Oversight management and auditability of models
Conclusion and Future Directions
Requirements
- Foundational knowledge of core artificial intelligence concepts
- Practical experience with cloud-based enterprise solutions
- Basic understanding of workflow or process design principles
Target Audience
- Product managers
- Knowledge workers
- Enterprise architects
Testimonials (1)
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