Build AI Agents That Deliver Results
Learn. Apply. Succeed.
- Understand key AI agent concepts and how AI agents differ from AI assistants and conventional automation
- Identify business opportunities where AI agents can improve productivity, service or operational efficiency
- Design agentic workflows with clear roles, boundaries and appropriate human oversight
- Build or specify a simple no-code or low-code AI agent
- Test AI agents for reliability, risk and unintended consequences
- Develop a governed pilot with appropriate safeguards and human oversight
- Define meaningful business measures to evaluate value, quality, adoption and cost
- Create an AI agent action plan
Is This Course Right For You?
Managers and practitioners who need to identify, sponsor, design, prototype, evaluate or govern AI agents across multiple functions.
98% of participants recommend this course.
The Learning Experience
- Hands-on, applied learning. Work through a real or realistic AI agent opportunity, moving from use case selection into workflow design, prototyping or specification, and testing.
- Guided practice and structured evaluation. Use scenarios and test cases to examine reliability, risk, safeguards and human oversight.
- Practical outputs you can use. Leave with working documents such as an opportunity brief, workflow and authority map, test evidence, pilot charter and KPI scorecard.
Duration: 7 Hours
Delivered in classrooms across Canada and Live Online.
Available for private delivery and customizable to match your organization’s needs.
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DateLocationTime
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Oct 13, 2026 - Oct 13, 2026Live Online9:00 AM – 5:00 PM (ET)
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Nov 12, 2026 - Nov 12, 2026Live Online9:00 AM – 5:00 PM (ET)
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Dec 8, 2026 - Dec 8, 2026Live Online10:00 AM – 6:00 PM (ET)
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Jan 14, 2027 - Jan 14, 2027Live Online9:00 AM – 5:00 PM (ET)
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Feb 10, 2027 - Feb 10, 2027Live Online10:00 AM – 6:00 PM (ET)
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Mar 10, 2027 - Mar 10, 2027Live Online9:00 AM – 5:00 PM (ET)
Do you need a different date or location? We offer Courses On Request.
When colleagues learn together, everyone benefits!
Connect with an advisor to discuss delivering this course to your team.
Frequently Asked Questions
Do I need technical or coding experience to build an AI agent in this course?
No. This course is designed for business professionals as well as those involved in AI implementation. You can build a simple no-code or low-code AI agent or create a build-ready specification, while learning the business, workflow, technology and governance considerations needed to move an agent from idea to pilot.
I have a repetitive workflow I want to automate. Will this course help me turn it into an AI agent?
Yes. You’ll learn how to map a workflow, define what the agent should and should not do, identify the information and tools it needs, and establish where human approval or intervention is required. You’ll then use that plan to build a prototype or create a detailed specification for an AI agent.
How can I prevent an AI agent from taking the wrong action?
The course covers safeguards such as human approval, limited permissions, action boundaries, spending or usage limits, monitoring, rollback procedures and stop conditions. You’ll also test normal, edge, exception and misuse scenarios to identify problems before an AI agent is put into wider use.
How do I know whether an AI agent is delivering business value?
You’ll learn how to establish baseline measures and select KPIs that track business value, quality, adoption, cost, exceptions, overrides and user trust. These measures can help determine whether an AI agent should be scaled, revised, restricted, paused or retired.
