Agents, MCP, And Tool Use
See how AI agents choose steps and use tools to complete a task.
Explore Outline →AI For Professional And Business Services
Assess document-intensive AI workflows, client confidentiality, evidence trails and the review needed for dependable service.
AI Foundations is useful starting knowledge. Specialist terms will be explained through examples; coding is not required for the introductory course.
Planned Topics
- Service Workflows And Client Needs
- Documents, Research And Evidence Trails
- Confidentiality And Tool Permissions
- Drafting, Review And Accountability
- Service Quality And Whole-Task Value
- Evaluate A Professional-Service Workflow
Planned Practice And Learning Check
Practice: Develop an evidence-based case analysis: identify the problem, AI approach, supporting evidence, limitations, implementation needs and a justified next decision.
Learning Check: Explain which conclusions the evidence supports, what remains uncertain and what further validation or review is needed.
Teaching materials and assessments will be reviewed before lessons become available.
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Explore Outline →AI Security, Safety, And Governance
Identify ways an AI system can cause harm or be misused, and how organisations manage those risks.
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