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Duration 14 hours
Course Outline
Foundations of Gemini 3 for Enterprise Applications
- Core reasoning, planning, and multimodal capabilities
- Enterprise use cases and key value drivers
- Overview of AI Studio and Vertex AI workflow tools
Understanding Multimodal Inputs and Outputs
- Handling text, images, documents, and structured data
- Constructing multimodal prompts and workflows
- Synthesizing modalities to generate deeper insights
Reasoning and Decision Support
- Creating multi-step reasoning prompts
- Scenario planning and assessment
- Designing decision-support assistants
Enterprise Workflow Design in AI Studio
- Creating and managing projects in AI Studio
- Linking datasets and enterprise content
- Designing interactive reasoning workflows
Building Multimodal Pipelines in Vertex AI
- Leveraging Vertex AI Extensions and agents
- Integrating APIs, tools, and external systems
- Deploying and testing multimodal pipelines
Prompt Engineering for Planning and Execution
- Techniques for structuring reasoning prompts
- Iterative prompt refinement and evaluation
- Addressing ambiguity in complex enterprise tasks
Workflow Automation and Orchestration
- Connecting Gemini 3 outputs to business processes
- Designing AI-assisted planning and review cycles
- Creating reusable workflow components
Security, Governance, and Responsible AI Practices
- Data protection and enterprise governance
- Responsible AI policies and safeguards
- Managing model oversight and auditability
Summary and Next Steps
Requirements
- A solid grasp of fundamental AI concepts
- Hands-on experience with cloud-based enterprise tools
- Basic knowledge of workflow or process design
Target Audience
- Product managers
- Knowledge workers
- Enterprise architects
Testimonials (1)
Flow , vibe and topic on presentation
