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FA-0020Agentic & Generative AIAI for Leaders & Business

AI-Powered Workplace Productivity Essentials

Building Smarter Workflows with Microsoft 365 Copilot and Modern Digital Tools

Introduction

Why this course

Modern workplaces are being reshaped by AI-assisted productivity, intelligent automation, and data-driven decision-making. Organisations are no longer looking for employees who simply know how to use software applications; they are seeking professionals who can work efficiently with AI tools, extract insights from information, communicate more effectively, and automate repetitive tasks. Microsoft 365 Copilot and AI-powered workplace tools are rapidly becoming central to this transformation, enabling teams to accelerate research, enhance collaboration, and improve operational efficiency across departments.

This course is designed to provide participants with practical, job-relevant skills in AI literacy, responsible AI usage, workplace productivity enhancement, and Microsoft 365 Copilot integration. Rather than focusing on theoretical or overly academic concepts, the training is built around realistic workplace scenarios, modern business workflows, and hands-on productivity use cases aligned with current industry practices and emerging AI capabilities in Microsoft 365 environments. The instructor brings over 30 years of industry experience and incorporates real-world enterprise methodologies, operational insights, and practical implementation strategies throughout the training delivery. Recent developments in Microsoft 365 Copilot, including AI agents, enterprise governance capabilities, enhanced Teams integrations, and intelligent workplace automation features, are also incorporated into the curriculum to ensure relevance with current enterprise adoption trends.

Learning outcomes

Learning outcomes

Participants will be able to:

  • Understand foundational AI concepts and responsible AI practices in workplace environments
  • Use Microsoft 365 Copilot to improve communication, research, collaboration, and productivity
  • Apply AI-assisted drafting and summarisation techniques for business communication
  • Utilize Copilot Chat and Teams integrations for workplace collaboration
  • Identify opportunities for workflow optimisation using digital tools and AI capabilities
  • Develop effective prompts and structured interactions with AI assistants
  • Improve workplace efficiency through task automation and intelligent assistance
  • Understand enterprise AI governance, privacy, and security considerations
  • Work with AI agents and modern Copilot capabilities for task execution and information retrieval
  • Apply practical productivity techniques aligned with real business operations
Prerequisites

Prerequisites

  • Basic computer literacy
  • Familiarity with Microsoft 365 applications
  • General understanding of workplace communication tools
  • Active Microsoft 365 account recommended
  • Laptop with internet connectivity
  • Basic understanding of file management and collaboration workflows
Training outline

7 modules

·
01Introduction to Artificial Intelligence in the Workplace3 topics

  1. Evolution of AI in business environments

    1. Generative AI concepts
    2. Enterprise AI adoption trends
    3. AI-assisted productivity transformation
    4. Modern digital workplace ecosystems

  2. AI Literacy Fundamentals

    1. Understanding large language models
    2. AI terminology and concepts
    3. Capabilities and limitations of generative AI
    4. Human oversight and validation practices
    5. Responsible AI principles

  3. Responsible and Ethical AI Usage

    1. Data privacy considerations
    2. Information sensitivity and confidentiality
    3. Bias and ethical concerns
    4. Compliance and governance awareness
    5. Enterprise AI security considerations
02Microsoft 365 Copilot Fundamentals3 topics

  1. Microsoft 365 Copilot Overview

    1. Copilot ecosystem architecture
    2. Copilot Chat capabilities
    3. Integration across Microsoft applications
    4. AI-assisted workplace workflows
    5. Current Microsoft Copilot enhancements and trends

  2. Microsoft 365 Environment Readiness

    1. Microsoft 365 account requirements
    2. Licensing considerations
    3. Browser and web access setup
    4. Teams web integration
    5. Security and access management

  3. Understanding Copilot Interfaces

    1. Copilot Chat navigation
    2. Prompt interaction workflows
    3. Context-aware assistance
    4. Work data versus web data grounding
    5. Multi-application AI experiences
03AI-Assisted Workplace Productivity4 topics

  1. Research and Information Discovery

    1. AI-assisted research workflows
    2. Information summarisation techniques
    3. Extracting actionable insights
    4. Multi-source information analysis
    5. Knowledge retrieval strategies

  2. AI-Assisted Communication

    1. Drafting professional emails
    2. Business writing enhancement
    3. Tone refinement and audience targeting
    4. Meeting recap generation
    5. Document summarisation workflows

  3. Brainstorming and Idea Generation

    1. Structured ideation methods
    2. AI-assisted creativity techniques
    3. Content planning workflows
    4. Problem-solving frameworks
    5. Scenario-based prompt engineering

  4. Prompt Engineering Fundamentals

    1. Effective prompt structuring
    2. Context-driven prompting
    3. Iterative refinement techniques
    4. Instruction clarity and specificity
    5. Prompt optimization strategies
04Microsoft Teams and Collaborative AI Workflows3 topics

  1. AI in Team Collaboration

    1. Copilot integration in Teams
    2. AI-assisted meeting management
    3. Intelligent meeting recaps
    4. Action item extraction
    5. Collaboration summarisation

  2. Teams Productivity Workflows

    1. Meeting preparation support
    2. Real-time collaboration enhancement
    3. AI-assisted note generation
    4. Task coordination workflows
    5. Cross-functional communication support

  3. Copilot Chat for Team Productivity

    1. Shared information retrieval
    2. Organisational knowledge access
    3. Workflow coordination
    4. Calendar and scheduling support
    5. AI-enhanced operational communication
05Copilot Agents and Intelligent Automation4 topics

  1. Introduction to Copilot Agents

    1. Understanding AI agents
    2. Agent-based workflows
    3. Pre-built Copilot agents
    4. Task-oriented AI interactions
    5. Agent lifecycle concepts

  2. Enterprise Information Retrieval

    1. Searching organisational knowledge
    2. AI-assisted file discovery
    3. Context-aware information retrieval
    4. Knowledge summarisation
    5. Multi-source data interpretation

  3. Workflow Optimisation with AI

    1. Identifying repetitive tasks
    2. Automation opportunities
    3. Productivity bottleneck analysis
    4. AI-supported operational efficiency
    5. Digital workflow redesign concepts

  4. Emerging Microsoft Copilot Capabilities

    1. AI agents in Microsoft applications
    2. Enhanced AI reasoning features
    3. Intelligent content generation
    4. AI-powered task orchestration
    5. Enterprise AI adoption trends
06Business Productivity Optimization3 topics

  1. Digital Productivity Best Practices

    1. Managing information overload
    2. Time optimization techniques
    3. AI-assisted prioritisation
    4. Task management strategies
    5. Workflow efficiency improvement

  2. AI-Driven Decision Support

    1. Data-informed workplace decisions
    2. AI-generated insight interpretation
    3. Risk awareness and validation
    4. Human-in-the-loop processes
    5. Business communication acceleration

  3. Productivity Metrics and Improvement

    1. Measuring workplace efficiency
    2. Identifying operational improvements
    3. AI-assisted reporting concepts
    4. Continuous productivity enhancement
    5. Collaboration optimization strategies
07Enterprise AI Governance and Operational Considerations3 topics

  1. AI Security and Compliance

    1. Organisational AI policies
    2. Data governance principles
    3. Secure AI usage practices
    4. Information protection considerations
    5. Regulatory awareness

  2. AI Adoption Strategies

    1. Building AI usage habits
    2. Change management considerations
    3. Employee enablement approaches
    4. AI adoption challenges
    5. Responsible enterprise rollout concepts

  3. Operational Best Practices

    1. Validating AI-generated outputs
    2. Managing hallucinations and inaccuracies
    3. Maintaining professional accountability
    4. AI usage boundaries
    5. Sustainable productivity practices
Disclaimer

The above outlines are intended to serve as structured training guidelines and may be adjusted, refined, expanded, or reorganised by the trainer based on participant profiles, organisational requirements, operational constraints, technology updates, delivery timelines, or evolving industry practices. The trainer reserves the right to modify the sequence, depth, emphasis, or coverage of topics where necessary to ensure optimal learning outcomes and relevance to current market and business conditions without prior notice.

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AI-Powered Workplace Productivity Essentials
FA-0020

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