This practical, no-code course is designed to guide business professionals and developers through creating custom AI assistants using Microsoft 365 Agent Builder. Instructed by AI expert Alex Banks, the course focuses on moving beyond basic prompting to deploy reliable, data-connected agents that can automate team workflows and handle specific workspace tasks.
Course Details
- Duration: 52 minutes
- Skill Level: General (No programming experience required)
- Instructor: Alex Banks
Key Concepts & Curriculum
1. Evaluating Use Cases & Fundamentals
- Clarifying the structural differences between simple chatbots, standalone prompts, and true autonomous agents.
- Reviewing prebuilt Microsoft tools, such as the Researcher and Analyst agents, to evaluate when a custom-built solution is necessary.
2. Building and Configuring Agents
- Connecting custom agents directly to your organization’s private data sources and internal knowledge bases safely.
- Overcoming common data-silo issues to ensure the agent retrieves contextually accurate information.
- Extending agent functionalities with specialized document-creation and content-generation capabilities.
3. Troubleshooting, Testing, and Deployment
- Identifying and resolving frequent configuration mistakes, hallucination issues, or mapping bugs.
- Implementing robust testing frameworks to verify response accuracy before a full team rollout.
- Configuring secure sharing permissions, user access thresholds, and enterprise-level IT governance.
4. Scaling Beyond Agent Builder
- Understanding the boundaries of the Microsoft 365 Agent Builder workspace.
- Learning when and how to graduate your project into Copilot Studio for advanced logic branching, custom coding, and complex API integrations.
Skills You’ll Gain
- AI Productivity: Designing specialized tools to eliminate manual administrative overhead.
- Microsoft Copilot & 365 Suite: Maximizing your existing enterprise software ecosystem.
- No-Code Development: Creating custom application logic using visual configuration panels and natural language rather than standard programming code.
- Agentic AI Architecture: Structuring goal-oriented systems capable of executing multiple multi-step tasks autonomously.
