Gemini 3 for Enterprise: Reasoning, Planning & Multimodal Workflows Training Course
Gemini 3 is a multimodal AI model designed to reason across text, images, and structured inputs to support complex enterprise workflows.
This instructor-led, live training (online or onsite) is aimed at intermediate-level professionals who wish to build reasoning-driven and multimodal workflows using Gemini 3 within enterprise environments.
After completing this course, participants will have the skills to:
- Apply Gemini 3’s reasoning capabilities to enterprise planning and decision workflows.
- Design multimodal processes incorporating text, images, documents, and tabular data.
- Develop business workflows using AI Studio and Vertex AI tools.
- Optimize outputs through prompt engineering and iterative refinement techniques.
Format of the Course
- Guided demonstrations supported by expert explanations.
- Practical exercises focused on workflow design and multimodal tasks.
- Hands-on experimentation in AI Studio or Vertex AI environments.
Course Customization Options
- If your organization requires tailored workflow scenarios or data integration examples, please contact us to adapt the training.
Course Outline
Foundations of Gemini 3 for Enterprise Applications
- Core reasoning, planning, and multimodal capabilities
- Enterprise use cases and value drivers
- Overview of AI Studio and Vertex AI workflow tooling
Understanding Multimodal Inputs and Outputs
- Working with text, images, documents, and structured data
- Creating multimodal prompts and workflows
- Combining modalities for richer insight generation
Reasoning and Decision Support
- Building multi-step reasoning prompts
- Scenario planning and evaluation
- Designing decision-support assistants
Enterprise Workflow Design in AI Studio
- Creating and managing projects in AI Studio
- Connecting datasets and enterprise content
- Designing interactive reasoning workflows
Building Multimodal Pipelines in Vertex AI
- Using Vertex AI Extensions and agents
- Integrating APIs, tools, and external systems
- Deploying and testing multimodal pipelines
Prompt Engineering for Planning and Execution
- Strategies for structured reasoning prompts
- Iterative prompt refinement and evaluation
- Handling ambiguity and 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
- An understanding of core AI concepts
- Experience with cloud-based enterprise tools
- Basic familiarity with workflow or process design
Audience
- Product managers
- Knowledge workers
- Enterprise architects
Open Training Courses require 5+ participants.
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Testimonials (1)
Flow , vibe and topic on presentation
Lukasz Kowalczyk - Allegro Sp. z o.o.
Course - Google Gemini AI for Data Analysis
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