Program Roadmap

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Welcome to Team Academy's Microsoft Copilot AI Business Practitioner Program – a comprehensive, business-focused learning journey designed to help professionals leverage Artificial Intelligence, Microsoft Copilot, enterprise productivity tools, automation platforms, analytics capabilities, and AI agent technologies to transform the way they work.

This program goes beyond basic AI awareness and prompt writing. It provides a structured pathway from foundational AI concepts and workplace productivity to advanced enterprise automation, business analytics, machine learning applications, Retrieval-Augmented Generation (RAG), and AI agent development.

Participants gain practical, hands-on experience using Microsoft Copilot, ChatGPT, Claude, Gemini, Copilot Studio, Power Platform, SharePoint, and other enterprise AI tools to solve real-world business challenges.

Whether you are a business professional, manager, analyst, project leader, consultant, entrepreneur, or digital transformation practitioner, this program equips you with the skills required to effectively adopt and implement AI within modern organizations.

Program Structure Overview

The program is organized into three progressive learning domains that guide participants from AI fundamentals and productivity enhancement to enterprise automation, analytics, and AI agent development.

Domain 1: Foundations of AI, Prompt Engineering & Personal Productivity Tools

This domain establishes the core knowledge required to work effectively with Large Language Models (LLMs), Microsoft Copilot, and AI-powered workplace productivity tools.

Module 1: Foundations of LLM Models & Prompt Engineering

Participants explore the fundamentals of modern AI systems and learn how to interact effectively with AI tools through structured prompting techniques.

Key topics include:

  • Microsoft Copilot Microsoft 365 interface walkthrough

  • Basics of prompt engineering

  • Prompting techniques for business practitioners

  • Copilot Chat vs Application Skills

  • Knowledge Graphs vs Vector Stores

  • LLM comparisons including ChatGPT, Claude, Gemini, Meta Llama, and KIMI

Module 2: Microsoft Office Productivity Tools with Copilot

This module focuses on applying Microsoft Copilot across the Microsoft 365 ecosystem to improve individual and team productivity.

Key topics include:

  • Excel formulas, analytics, dashboards, charts, and Excel Agent

  • PowerPoint presentations, design, and storytelling

  • Outlook email productivity and semantic search

  • Teams meeting summaries and transcript analysis

  • Word document drafting, summarization, and document analysis

  • Whiteboard and OneNote productivity

  • Sway and Bookings integration

Module 3: Claude Cowork

Participants learn how Claude can be used alongside business productivity applications.

Key topics include:

  • Claude platform walkthrough

  • Claude plugins for Word, Excel, and PowerPoint

  • Claude Projects

  • Claude Design Studio

Module 4: Graphics & Video Generation Using AI

This module focuses on AI-powered visual communication and content creation.

Key topics include:

  • Infographic creation

  • Document-to-video generation

  • Avatar-based video production

  • AI-powered brand kit development

  • Visual prompting techniques

  • Video generation using advanced AI platforms

Domain 2: AI for Enterprise Applications

This domain focuses on applying AI to business operations, research, analytics, workflow automation, and decision-making.

Module 5: Persona-Based Prompting, Projects & Notebooks

Participants learn how to create role-based AI experiences and reusable productivity systems.

Key topics include:

  • Persona-based prompting

  • Prompt libraries

  • AI notebooks

  • ChatGPT projects

  • OneDrive vectors and knowledge organization

  • Reusable AI workflows

Module 6: Research, Analytics, KPIs & Strategy with AI Agents

This module demonstrates how AI can support business research, analysis, and strategic planning.

Key topics include:

  • Research prompting techniques

  • KPI generation

  • SWOT analysis

  • Feasibility studies

  • Risk analysis

  • Descriptive analytics

  • Predictive analytics and forecasting

  • Strategy development using AI agents

Module 7: Workflow Automation, Enterprise AI Tools & Business App Creation Using AI

Participants learn how to automate business processes and build enterprise applications using AI-powered platforms.

Key topics include:

  • Power Apps with Copilot

  • AI-assisted application development

  • Power Automate workflows

  • SharePoint integration

  • OneDrive smart retrieval

  • Business process automation

  • Loop and Power Pages

Module 8: Machine Learning Models for Predictive & Prescriptive Modelling

This module introduces practical machine learning concepts for business users.

Key topics include:

  • Analytics prompting using machine learning models

  • Forecasting techniques

  • Project timeline forecasting

  • Risk prediction

  • Financial planning and budgeting models

  • Business forecasting scenarios

  • Prescriptive decision support

Domain 3: Enterprise AI Agents & Agentic Frameworks

The final domain focuses on enterprise AI deployment, AI agents, Retrieval-Augmented Generation (RAG), and AI agentic frameworks.

Module 9: Agent Creation Using Copilot, Gemini Pro, Claude & Custom GPTs

Participants learn how to design, build, and evaluate intelligent AI assistants.

Key topics include:

  • Instructional prompting

  • Contextual grounding

  • Chain-of-thought prompting

  • Copilot Studio capabilities

  • Custom GPT development

  • Claude Projects

  • Gemini Pro implementation

  • RAG agent creation using SharePoint and OneDrive

  • Agent evaluations and grounding techniques

Module 10: AI Agentic Framework – MCPs, Tools, Triggers & Automation Workflows

This advanced module focuses on building connected AI ecosystems.

Key topics include:

  • Topics and conversational flows

  • Variables and triggers

  • Tool integrations

  • Trigger-based workflow automation

  • Contextual instructions

  • MCP servers and protocols

  • Agent-to-agent interactions

  • Enterprise AI agentic frameworks

Who Should Join This Program?

This program is designed for:

  • Business Professionals

  • Managers and Team Leaders

  • Business Analysts

  • Project Management Professionals

  • PMO Teams

  • Operations Professionals

  • HR Teams

  • Consultants

  • Entrepreneurs

  • Corporate Innovation Teams

  • Digital Transformation Professionals

  • Students preparing for AI-enabled careers

Career & Business Value

Organizations across industries are actively adopting AI-powered technologies to improve productivity, automate business processes, strengthen decision-making, and accelerate digital transformation initiatives.

By completing this program, participants gain practical experience with Microsoft Copilot, enterprise AI tools, workflow automation platforms, analytics solutions, and AI agent technologies that can be applied immediately within modern workplace environments.

The program equips learners with skills that are increasingly valuable across business operations, consulting, project management, analytics, digital transformation, enterprise automation, and AI adoption initiatives.

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