Microsoft Copilot Studio Course in Saudi Arabia

Identify a business process where an agent can create real value. Define users, outcomes, boundaries, risks and the human decisions that must remain in the workflow.

• Distinguish an AI agent from a chatbot, app or simple automation
• Select a suitable Saudi workplace use case
• Set success measures, ownership and review points

Create an agent, define its role and write clear instructions that guide behaviour without making the design brittle.

• Set purpose, scope, tone and limitations
• Design starter prompts and useful user journeys
• Choose between standard, Microsoft 365 Copilot and GitHub Copilot agent experiences where relevant

Connect approved information and improve grounded answers so the agent uses the right sources for the task.

• Use SharePoint, OneDrive, files, websites and other suitable knowledge sources
• Structure content for retrieval and traceability
• Test citations, unsupported answers and knowledge gaps

Control how the agent asks questions, stores context, handles exceptions and routes users through a process.

• Use topics, conditions, variables and entities
• Create escalation and fallback paths
• Balance generative orchestration with controlled business rules

Turn the agent from an information assistant into a practical business tool that can perform approved actions.

• Select connectors and actions for the use case
• Map inputs, permissions and outputs
• Design approval and human-review points before an action runs

Connect the agent to a repeatable workflow, approval or notification process.

• Build a practical agent flow
• Use Power Automate when the wider workflow needs it
• Handle success, failure, exception and handoff paths

Create structured tests for answer quality, action accuracy, safety and failure handling.

• Build representative test questions and expected results
• Evaluate groundedness, completeness and consistency
• Record defects, improve instructions and retest

Prepare the agent for the right users and channels, then use feedback and analytics to improve it.

• Plan publishing to Microsoft Teams, Microsoft 365 or another suitable channel
• Control sharing and environment access
• Monitor usage, outcomes and unresolved requests

Apply practical governance across data, access, ownership, change and responsible use.

• Use environments, roles, permissions and data policies appropriately
• Apply PDPL-aware handling within organisational policy
• Define agent ownership, review cycles, escalation and retirement

Combine knowledge, conversations, actions, testing and governance in one complete agent solution.

• Build a shared-services or department agent
• Present the business case, workflow and controls
• Create a 30-day pilot and 90-day adoption roadmap