Description

Introduction

Artificial General Intelligence (AGI) has long been the ultimate vision in AI research, sparking both excitement and speculation. However, the emergence of Agentic AI—autonomous, goal-driven systems capable of real-world interaction—is bringing practical intelligence closer to today’s technological capabilities. This course unpacks the gap between AGI hype and Agentic AI reality, exploring what is possible now, what’s still speculative, and how to build responsibly for the future.

Prerequisites

• Basic understanding of AI, LLMs, and intelligent systems

• Familiarity with current limitations of machine learning models

• Interest in AI roadmapping, technology policy, or future forecasting

• Optional: Background in AI research, ethics, or innovation strategy

Table of Contents

1. AGI vs. Agentic AI: Framing the Landscape
1.1 Definitions and Distinctions
1.2 The AGI Narrative in Media and Industry
1.3 Rise of Practical Agentic Systems

2. Capabilities of Today’s Agentic AI
2.1 Goal Pursuit, Planning, and Tool Use
2.2 Autonomy within Constraints
2.3 Real-World Applications and Limits

3. Debunking the Myths of AGI
3.1 Intelligence vs. Generalization
3.2 Common Misconceptions in Public Discourse
3.3 The Role of Hype in Investment and R&D

4. Evaluating Progress Toward AGI
4.1 Benchmarks and Metrics: What Matters?
4.2 Memory, Reasoning, and Embodiment Gaps
4.3 Multi-Agent Collaboration and Scaling

5. Agentic AI as the Middle Path
5.1 Practical Autonomy without Full Generality
5.2 Augmenting Human Expertise, Not Replacing It
5.3 Co-evolving Human-Agent Workflows

6. Challenges and Limitations
6.1 Robustness, Hallucination, and Goal Misalignment
6.2 Containment, Control, and Value Alignment
6.3 The Risk of Overpromising Capabilities

7. Responsible Innovation and Policy
7.1 Regulating Agentic AI Before AGI
7.2 Building Trust, Governance, and Guardrails
7.3 The Role of Open Source, Industry, and Academia

8. What’s Next: Navigating the Transition
8.1 Designing Agentic Systems with Scalability in Mind
8.2 Preparing for a Hybrid Future of Narrow + Agentic AI
8.3 Long-Term AI Visions Grounded in Present Capabilities

While AGI remains a long-term aspiration, Agentic AI offers tangible pathways to transformative applications today. This course helps learners and leaders move beyond hype, understand the nuances, and focus on building meaningful, safe, and actionable AI systems now—while staying prepared for what comes next.