Hands-On Learning

Develop practical workflow design skills through realistic professional scenarios, structured investigations and worked examples. Create workflow maps, delegation matrices, coordination plans and a complete Human–AI Agent Workflow Design Specification.

Expert Guidance

Explore systematic approaches to task decomposition, agent orchestration, cognitive delegation and human control. Learn how to make informed design decisions that balance efficiency, reliability and professional responsibility.

Flexible Schedule

Learn at your own pace through accessible online lessons, practical exercises and worked examples. Develop professional workflow design capabilities alongside your existing work and personal commitments, without needing programming experience.

About the Course

Agentic AI creates new opportunities for professionals to coordinate complex activities involving human judgement, AI-assisted tasks and increasingly autonomous systems. Realising these opportunities requires more than understanding what AI agents can do. It requires the ability to design how people and agents work together. Designing Human–AI Agent Workflows: Delegation, Orchestration and Cognitive Control develops the analytical and practical skills needed to design structured, reliable and appropriately controlled agentic workflows. You will learn to analyse professional processes, decompose complex tasks, allocate responsibilities between humans and AI agents, design activity sequences and handovers, and establish meaningful human decision points. The course also examines agent permissions, approval mechanisms, uncertainty, exception handling and recovery arrangements, helping you anticipate problems before workflows are implemented. Through realistic professional scenarios, structured investigations and worked examples, you will progressively develop a Human–AI Agent Workflow Design Specification that brings together your learning into a coherent, practical design. Designed for educators, researchers, professional services staff, managers and other professionals, the course builds on foundational agentic AI concepts while remaining accessible to learners without programming or specialist technical experience.

Meet Your Instructor

Jonathan Wong is the founder of CloudPedagogy and a digital education specialist with over 20 years of experience across higher education, research and digital innovation. His work focuses on turning emerging technologies into practical approaches to learning, analysis and knowledge creation. Through CloudPedagogy, he develops courses, open-source tools, interactive learning systems and applied projects exploring areas including generative and agentic AI, educational technology and digital learning design. His approach emphasises practical experimentation, transparency, critical judgement and responsible use of technology. CloudPedagogy is built around learning by understanding, building and applying: making complex ideas accessible while creating practical tools and workflows that demonstrate how they can be used in real-world contexts.

Curriculum

9 Chapters · 49 Lessons

    1. Welcome to the Course Free preview
    2. (Included in full purchase)

      From Understanding Agents to Designing Workflows

    3. Legal Disclaimer & Terms of Use Free preview

    1. (Included in full purchase)

      1.1 From Tasks to Workflows: Understanding the Whole Process

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      1.2 Workflow Boundaries, Inputs and Outcomes

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      1.3 Task Dependencies and Decision Structures

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      1.4 Identifying Opportunities for Agentic Support

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      1.5 Learning Activities

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      1.6 Professional Workflow Mapping

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      1.7 Dependency and Bottleneck Investigation

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      1.8 Agentic Workflow Suitability Assessment

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      2.1 Decomposing Complex Professional Activities

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      2.2 Human, AI and Agent Responsibilities

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      2.3 Designing Cognitive Delegation Boundaries

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      2.4 Matching Task Requirements to Agent Capabilities

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      2.5 Learning Activities

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      2.6 Task Decomposition Challenge

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      2.7 Human–Agent Responsibility Allocation

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      2.8 Cognitive Delegation Design Investigation

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      3.1 Sequencing Activities and Managing Dependencies

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      3.2 Parallel Workflows and Coordinated Execution

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      3.3 Designing Agent Handovers and Information Exchange

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      3.4 Single-Agent and Multi-Agent Workflow Patterns

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      3.5 Learning Activities

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      3.6 Workflow Sequencing Challenge

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      3.7 Agent Handover Design

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      3.8 Orchestration Pattern Comparison

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      4.1 Designing Human Decision Points

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      4.2 Approval Gates and Authorisation Boundaries

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      4.3 Managing Agent Permissions and Action Limits

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      4.4 Designing Meaningful Human Intervention

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      4.5 Learning Activities

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      4.6 Approval Gate Design Challenge

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      4.7 Agent Permission Boundary Investigation

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      4.8 Human Control Workflow Redesign

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      5.1 Understanding Exceptions in Agentic Workflows

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      5.2 Designing Escalation and Recovery Pathways

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      5.3 Managing Uncertainty, Incomplete Tasks and Conflicting Outputs

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      5.4 Workflow Resilience and Safe Termination

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      5.5 Learning Activities

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      5.6 Exception Pathway Investigation

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      5.7 Recovery and Escalation Design Challenge

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      5.8 Workflow Failure Scenario Analysis

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      6.1 Introduction to the Final Integrative Activity

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      6.2 Human–AI Agent Workflow Design Specification

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      6.3 Reviewing and Stress-Testing Your Workflow Design

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      6.4 Course Reflection and Next Steps

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      Course Complete: Share Your Feedback

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      End of Course Survey

Unlock Your Genai Potential

Join our course today and unlock the full potential of Generative AI in your research projects. Empower yourself with the knowledge and skills to drive innovation and make a significant impact in your field.

£49.00

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