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Duration 14 hours
Course Outline
Foundations of Gemini 3 in Enterprise Applications
- Essential reasoning, planning, and multimodal capabilities
- Enterprise use cases and key value drivers
- Overview of AI Studio and Vertex AI workflow tooling
Navigating Multimodal Inputs and Outputs
- Processing text, images, documents, and structured data
- Developing multimodal prompts and workflows
- Synthesizing modalities for deeper insight generation
Reasoning and Decision Support Strategies
- Constructing multi-step reasoning prompts
- Scenario planning and performance evaluation
- Developing decision-support assistants
Enterprise Workflow Design in AI Studio
- Project creation and management within AI Studio
- Linking datasets and enterprise content
- Architecting interactive reasoning workflows
Building Multimodal Pipelines in Vertex AI
- Utilizing Vertex AI Extensions and agents
- Integrating APIs, tools, and external systems
- Deployment and testing of multimodal pipelines
Prompt Engineering for Planning and Execution
- Tactics for structured reasoning prompts
- Iterative prompt refinement and assessment
- Managing ambiguity and complex enterprise tasks
Workflow Automation and Orchestration
- Aligning Gemini 3 outputs with business processes
- Designing AI-assisted planning and review cycles
- Creating reusable workflow components
Security, Governance, and Responsible AI Practices
- Data protection and enterprise governance frameworks
- Responsible AI policies and safety safeguards
- Managing model oversight and auditability
Conclusion and Recommended Next Steps
Requirements
- A solid understanding of core AI concepts
- Experience with cloud-based enterprise tools
- Basic proficiency in workflow or process design
Target Audience
- Product managers
- Knowledge workers
- Enterprise architects
Testimonials (1)
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