This video provides a comprehensive guide to Microsoft Copilot and AI Agents, based on six months of learning and experimentation. Dr. Ryan Ahmed demonstrates how to use Copilot for content generation, research, and within Microsoft applications like Word, Excel, and PowerPoint. He also introduces the concept of AI Agents, showcasing their capabilities for analysis and research, and explains how to create custom AI agents using personal data.
A user can create a custom AI agent by going to the "Create agent" section in Copilot. They can then configure the agent by giving it a name, a description, and specific instructions. The agent can be granted access to tools and knowledge by uploading files or providing links to data sources, such as SharePoint. This allows the agent to ground its responses in the user's provided information. Users can also define the agent's capabilities, such as the ability to write code or generate images, and set starter prompts and a desired tone for its responses.
The AI Agents "Analyst" and "Researcher" within Copilot are designed for specialized tasks to boost productivity.
The Analyst agent can process uploaded data, clean it, generate insights, and run Python code for tasks like data visualization and building machine learning models.
The Researcher agent can conduct in-depth research by searching the internet, reviewing information, and summarizing findings into structured reports, significantly reducing the time humans would typically spend on such tasks.
