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Course Outline
Foundations of Gemini 3 for Enterprise Applications
- Core reasoning, planning, and multimodal capabilities
- Key enterprise use cases and value propositions
- Overview of AI Studio and Vertex AI workflow tooling
Understanding Multimodal Inputs and Outputs
- Processing text, images, documents, and structured data
- Crafting multimodal prompts and workflow structures
- Synthesizing modalities for deeper insight generation
Reasoning and Decision Support
- Constructing multi-step reasoning prompts
- Scenario planning and performance evaluation
- Developing decision-support assistant functionalities
Enterprise Workflow Design in AI Studio
- Project creation and management in AI Studio
- Linking datasets and enterprise content sources
- Designing interactive reasoning workflows
Building Multimodal Pipelines in Vertex AI
- Leveraging Vertex AI Extensions and intelligent agents
- Integrating APIs, external tools, and systems
- Deployment and testing of multimodal pipelines
Prompt Engineering for Planning and Execution
- Strategies for structured reasoning prompts
- Iterative prompt refinement and evaluation techniques
- Navigating ambiguity and complex enterprise tasks
Workflow Automation and Orchestration
- Connecting Gemini 3 outputs to core business processes
- Designing AI-assisted planning and review cycles
- Creating reusable and scalable workflow components
Security, Governance, and Responsible AI Practices
- Data protection protocols and enterprise governance
- Responsible AI policies and safety safeguards
- Managing model oversight and ensuring auditability
Summary and Next Steps
Requirements
- A solid grasp of fundamental AI concepts
- Practical experience with cloud-based enterprise tooling
- Basic knowledge of workflow or process design principles
Target Audience
- Product Managers
- Knowledge Workers
- Enterprise Architects
14 Hours
Testimonials (1)
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