Description
Introduction
The rise of Agentic AI—autonomous, goal-driven systems capable of decision-making and self-directed action—is reshaping the nature of work. From task automation to cognitive augmentation, these agents are not just replacing manual effort but redefining workflows, roles, and organizational models. This course explores how Agentic AI will transform the future of work across industries, examining opportunities, challenges, and the human-AI collaboration paradigm.
Prerequisites
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Basic understanding of AI systems and agentic concepts
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Familiarity with workplace automation and digital transformation
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Interest in workforce development, organizational change, or HR tech
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Optional: Experience with AI/ML tools or enterprise applications
Table of Contents
1. Introduction to Agentic AI and Work
1.1 From Automation to Agency
1.2 Understanding Agentic Systems in the Workplace
1.3 Key Trends in Labor and AI Integration
2. Redefining Human Roles and Skills
2.1 Shifting from Routine Tasks to Judgment Work
2.2 Human-in-the-Loop and AI-Augmented Decision Making
2.3 New Skill Demands: Prompting, Oversight, and AI-Orchestration
3. Agentic AI in Key Job Functions
3.1 Knowledge Work: Agents for Research, Writing, Analysis
3.2 Operations and Logistics: Planning and Execution Agents
3.3 Customer Service and Sales: Autonomous Conversational Agents
4. Organizational Transformation
4.1 Designing Agent-Augmented Workflows
4.2 Digital Twins and Agent-Driven Process Automation
4.3 Rethinking Hierarchies, Teams, and Management
5. Economic and Social Implications
5.1 Labor Market Displacement vs. Job Creation
5.2 Productivity Gains and Inequality Risks
5.3 Agentic AI in the Global Talent Economy
6. Responsible Deployment at Work
6.1 Ethics of Monitoring, Autonomy, and Delegation
6.2 Fairness, Transparency, and Workplace Trust
6.3 Governance and Policy for Enterprise Adoption
7. Preparing the Workforce
7.1 Reskilling and Agentic AI Literacy
7.2 Human-AI Co-working Models and Training Strategies
7.3 Building AI-Aware Organizational Culture
8. Future Scenarios and Emerging Roles
8.1 The Rise of Chief AI Agent Officers and AI Workflows Designers
8.2 Multi-Agent Ecosystems for Corporate Functions
8.3 The Long-Term Vision of Human-Agent Symbiosis
Agentic AI represents not just a technological shift but a reimagining of work itself. By augmenting human capabilities and reconfiguring workflows, these systems offer transformative potential—if deployed wisely. This course provides the foundation to understand, adapt to, and lead in a future where humans and agents collaborate meaningfully, ethically, and productively.






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