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Duration 14 hours
Course Outline
Foundations of Gemini 3 in Enterprise Contexts
- Essential reasoning, planning, and multimodal capabilities
- Enterprise use cases and key value propositions
- Introduction to AI Studio and Vertex AI workflow tools
Mastering Multimodal Inputs and Outputs
- Processing text, images, documents, and structured datasets
- Crafting effective multimodal prompts and workflows
- Synthesizing modalities to generate deeper insights
Reasoning and Decision Support Mechanisms
- Constructing multi-step reasoning prompts
- Conducting scenario planning and performance evaluation
- Developing robust decision-support assistants
Enterprise Workflow Design in AI Studio
- Project creation and management within AI Studio
- Integration of datasets and enterprise content
- Architecting interactive reasoning workflows
Developing Multimodal Pipelines in Vertex AI
- Leveraging Vertex AI Extensions and autonomous agents
- Connecting APIs, tools, and external systems
- Deployment and validation of multimodal pipelines
Prompt Engineering for Strategic Planning and Execution
- Tactics for designing structured reasoning prompts
- Iterative prompt refinement and performance assessment
- Navigating ambiguity and complex enterprise challenges
Workflow Automation and Orchestration
- Aligning Gemini 3 outputs with business processes
- Designing AI-assisted planning and review cycles
- Creating scalable, reusable workflow components
Security, Governance, and Responsible AI Practices
- Data protection standards and enterprise governance frameworks
- Implementing Responsible AI policies and safety safeguards
- Ensuring model oversight and auditability
Summary and Future Directions
Requirements
- A solid grasp of fundamental AI concepts
- Proficiency with cloud-based enterprise solutions
- Basic proficiency in workflow or process design principles
Target Audience
- Product Managers
- Knowledge Workers
- Enterprise Architects
Testimonials (1)
Flow , vibe and topic on presentation