Gemini 3 for Enterprise: Reasoning, Planning & Multimodal Workflows Training Course
Gemini 3 is a multimodal AI model engineered to reason across text, images, and structured inputs, thereby supporting complex enterprise workflows.
This instructor-led, live training (delivered online or onsite) targets intermediate-level professionals aiming to construct reasoning-driven and multimodal workflows using Gemini 3 within enterprise environments.
Upon completing this course, participants will acquire the skills to:
- Leverage Gemini 3’s reasoning capabilities for enterprise planning and decision-making processes.
- Architect multimodal processes that integrate text, images, documents, and tabular data.
- Build business workflows utilizing AI Studio and Vertex AI tools.
- Enhance outputs via prompt engineering and iterative refinement techniques.
Course Format
- Guided demonstrations complemented by expert insights.
- Practical exercises centered on workflow design and multimodal tasks.
- Hands-on experimentation within AI Studio or Vertex AI environments.
Customization Options
- If your organization requires specific workflow scenarios or data integration examples, please contact us to tailor the training.
Course Outline
Foundations of Gemini 3 in Enterprise Applications
- Core reasoning, planning, and multimodal capabilities
- Enterprise use cases and key value drivers
- Overview of workflow tooling in AI Studio and Vertex AI
Mastering Multimodal Inputs and Outputs
- Processing text, images, documents, and structured data
- Formulating multimodal prompts and workflows
- Synthesizing modalities for deeper insight generation
Reasoning and Decision Support
- Constructing multi-step reasoning prompts
- Scenario planning and assessment
- Designing decision-support assistants
Designing Enterprise Workflows in AI Studio
- Creating and managing projects within AI Studio
- Linking datasets and enterprise content
- Developing interactive reasoning workflows
Developing 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 structured reasoning prompts
- Iterative prompt refinement and evaluation
- Managing ambiguity and complex enterprise tasks
Workflow Automation and Orchestration
- Connecting Gemini 3 outputs to business processes
- Structuring AI-assisted planning and review cycles
- Building reusable workflow components
Security, Governance, and Responsible AI Practices
- Data protection and enterprise governance
- Responsible AI policies and safeguards
- Oversight and auditability management
Summary and Next Steps
Requirements
- A solid grasp of core AI concepts
- Proficiency with cloud-based enterprise tools
- Familiarity with basic workflow or process design
Target Audience
- Product managers
- Knowledge workers
- Enterprise architects
Open Training Courses require 5+ participants.
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Lukasz Kowalczyk - Allegro Sp. z o.o.
Course - Google Gemini AI for Data Analysis
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