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Duration 21 hours
Course Outline
Module 1: Core Microsoft Teams Capabilities for Operational Efficiency
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Lesson 1: Microsoft Teams Architecture and Functional Overview
- System components: messaging, conferencing, file storage, and application integration
- Establishing effective conference structures: scheduling protocols, invitations, and role assignment
- Real-time collaborative features: digital whiteboards, shared documentation, and polling mechanisms
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Lesson 2: Operational Optimization within Teams
- Standard operating procedures for virtual conference management
- Utilizing channels for thematic and project-based tracking
- Deployment of third-party integrations within the Teams environment
Module 2: Implementation and Configuration of Read AI within Teams
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Lesson 3: Read AI Functionality and Teams Integration
- Capabilities of Read AI: automated summarization, transcript generation, and engagement metrics
- Technical integration workflow with the Microsoft Teams platform
- Management of access controls, permissions, and privacy parameters
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Lesson 4: Configuration and Customization of Read AI Settings
- Defining user preferences and settings for Teams-based conferences
- Interface navigation and interaction within the Teams environment
- Interpretation of various report types generated by Read AI
Module 3: Improving Conference Efficiency through Read AI Integration
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Lesson 5: Automated Summarization and Transcription Analysis
- Reviewing and analyzing AI-generated conference summaries
- Leveraging transcripts for comprehensive session review
- Advanced search methods for extensive transcription records
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Lesson 6: Engagement Metrics and Action Item Management
- Interpreting participation data to optimize meeting dynamics
- Identification of critical points and documented decisions
- Implementation of Read AI action items within Teams channels
- Monitoring tasks and pending actions via Read AI and Teams
Module 4: Advanced Strategies and Practical Implementation
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Lesson 7: Workflow Automation using Teams and Read AI
- Incorporating Read AI into project and team operational workflows
- Utilizing Teams automation capabilities for post-meeting follow-up
- Recommendations and best practices for concurrent platform utilization
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Lesson 8: Use Cases and Operational Best Practices
- Application of Teams and Read AI in professional contexts (e.g., sales, training, project management)
- Strategies for sustained improvement in meeting productivity
- Security protocols and privacy considerations for integrated Teams and Read AI usage
Module 5: Practical Exercises and Skill Application
- Practical exercises involving Teams conferences and Read AI analysis
- Case study review and application of advanced strategies
- Question and answer sessions and review of best practices
Requirements
- Basic familiarity with the Microsoft Teams platform
- Experience in participating in or hosting virtual meetings
Audience
- Team leaders and project managers
- Business professionals seeking to enhance meeting productivity
- Human resources and learning & development professionals managing collaborative initiatives
Testimonials (2)
i learned alot
Rose-Ann - Heart FM
Course - Microsoft Teams: Practical Collaboration, Productivity, and Automation
The engagement and the practical examples we did as a group to get more understanding of the topic