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Duration 14 hours
Course Outline
Foundations of Gemini 3 in Enterprise Applications
- Core capabilities in reasoning, planning, and multimodal processing
- Key enterprise use cases and value propositions
- Introduction to AI Studio and Vertex AI workflow tooling
Navigating Multimodal Inputs and Outputs
- Processing text, images, documents, and structured data
- Formulating multimodal prompts and workflow logic
- Synthesizing modalities to generate deeper insights
Reasoning and Decision Support Mechanisms
- Constructing multi-step reasoning prompts
- Scenario planning and outcome evaluation
- Architecting decision-support assistants
Enterprise Workflow Design in AI Studio
- Project creation and management within AI Studio
- Integrating datasets and enterprise content
- Building interactive reasoning workflows
Constructing Multimodal Pipelines in Vertex AI
- Utilizing Vertex AI Extensions and agents
- Connecting APIs, tools, and external systems
- Deployment and testing of multimodal pipelines
Prompt Engineering for Planning and Execution
- Techniques for structured reasoning prompts
- Iterative prompt refinement and performance evaluation
- Managing 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 standards
- Implementing responsible AI policies and safeguards
- Ensuring model oversight and auditability
Conclusion and Strategic Next Steps
Requirements
- A solid grasp of fundamental AI concepts
- Practical experience with cloud-based enterprise platforms
- Basic proficiency in workflow or process design
Target Audience
- Product managers
- Knowledge workers
- Enterprise architects
Testimonials (1)
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