Microsoft Copilot for Ideation, Research & Analysis

Learn how to transform ideas into clear visual storyboards and compelling presentation concepts using PowerPoint’s creative tools and structured workflows.

Brainstorm multiple product ideas, organize them into a structured outline, refine and select the best concept, create a storyboard in PowerPoint, and draft a preliminary marketing campaign plan.

Generate executive summaries and presentations effortlessly using Copilot.

In this lesson, we'll show you how Copilot can help you with data search and collection.

Discover practical techniques for fact-checking and verifying information to ensure accuracy and credibility in your work.

Learn to analyze data and derive actionable marketing insights efficiently.

Gather market and competitor data, summarize findings into clear documents, fact-check and verify information, and extract actionable insights to support your product concept.

Learn how to write effective prompts that guide Copilot in cleaning, formatting, and standardizing your datasets for accurate analysis.

Learn how to prompt Copilot to quickly summarize your data using key descriptive statistics like mean, median, mode, and standard deviation.

Learn how to turn raw data into clear, insightful charts and dynamic dashboards that communicate your findings effectively.

Discover how to use Copilot to automate advanced data preparation tasks like pivoting tables, parsing text, and generating calculated fields.

Practice creating a comprehensive analysis report by applying hands-on techniques to organize, interpret, and present data effectively.

Prepare and clean research datasets, generate descriptive statistics, build charts and dashboards, automate complex data tasks with pivots, and compile a comprehensive analysis report.

Gain a full understanding of how to plan, execute, and deliver a complete market research project from start to finish.

Learn how to transform insights and notes into a polished internal report tailored for a professional company meeting.

Apply everything you've learned by developing, researching, and analyzing a brand-new product idea in a practical capstone project.

Execute an end-to-end market research project, create a professional internal report, refine your capstone product concept, and develop a polished final presentation deck integrating research, analysis, and marketing strategies.

Explore the benefits of AI automation and understand how it can streamline business processes and boost efficiency.

Get an introductory tour of Microsoft Foundry, familiarizing yourself with its interface, key features, and navigation.

Task-based agents, conversational agents, data-driven agents, and workflow agents.

Foundry’s role in Microsoft’s AI ecosystem and how it differs from other AI platforms.

No-code approach vs custom development: benefits and limitations.

Models, agents, tools, data sources, workflows, and governance.

Conceptual explanation of visual builders, configuration panels, and prompts.

Step-by-step: create an agent that answers a set of FAQ questions. Configure the model and prompt using the UI, then save the agent.

In this lesson, we'll cover testing and iterating your agent.

In this lesson, we'll look through the templates that Microsoft Foundry provides.

Understand the difference between a single agent and a workflow of agents. Learn when to use multi-agent orchestration for complex tasks (e.g. separate agents for research, strategy, and execution).

Step-by-step: create a sequential workflow where Agent A’s output feeds into Agent B, then Agent C. For example, Agent 1 gathers data, Agent 2 summarizes it, Agent 3 generates a final report.

Learn how to add approval steps: the workflow pauses to ask the user a question or confirmation before proceeding (useful for quality checks or manual overrides).

Overview of advanced flows: you can route to different agents based on conditions or let agents collaborate in a group chat format. (This is useful for fallback or expert routing scenarios.)

Explore example applications (non-industry-specific): e.g. a support chatbot, an internal knowledge bot, or a scheduling assistant. See how Foundry’s features fit these scenarios.

In this lesson, you will learn how to leave a review for the course.

In this lesson, you will learn how to get a certificate.