Understand, Lead, and Strategically Apply AI Agents Across Industries — Without Writing Code
AI agents are transforming work—and leaders need to understand how to harness them.
What you’ll learn
- Distinguish between rule-based bots, RPA systems, and modern AI agents..
- Understand the foundations of Agents and Agentic Architectures.
- Identify the main components of Agents and Agent Architectures.
- Explore what makes an agent “intelligent,” including features like autonomy, memory, planning, and interactivity..
- Analyze state-of-the-art applications of agents in domains such as healthcare, enterprise, education, and personal productivity..
- Compare leading agent architectures (e.g., Autogen, CrewAI, LangGraph) and learn when to use each..
- Understand how to integrate tools, memory systems, and external APIs to enable agents to perceive, reason, and act in real or simulated environments..
- See how one can implement agents using open-source frameworks like LangChain, CrewAI, or LangGraph..
- Explore concepts such as recursive prompting, self-reflection, planning, negotiation, and agent collaboration..
- Design and simulate multi-agent workflows with communication, goal alignment, and safety considerations..
- Examine the ethical, technical, and societal challenges of autonomous agents—including embodiment, trust, and permission layers..
- Explore cutting-edge research directions and speculate on trends shaping the future of agent technologies..
- Design and prototype their own AI agents using open-source frameworks like LangChain, CrewAI, or LangGraph..
- Integrate agents into productivity, healthcare, or enterprise workflows with an awareness of memory, safety, planning, and tool use..
- Evaluate agent architectures and agent capabilities for internal deployments, product innovation, or research prototyping..
- Contribute to multi-agent systems or lead discussions about how AI agents will reshape industries..
Course Content
- Foundations of AI Agents –> 3 lectures • 27min.
- AI Agent Capabilities and Techniques –> 5 lectures • 46min.
- Advanced AI agent capabilities and techniques –> 4 lectures • 32min.
Requirements
AI agents are transforming work—and leaders need to understand how to harness them.
This course is designed for professionals, innovators, and decision-makers who want to lead confidently in the age of AI agents. You’ll gain a clear, practical understanding of what agents are, how they work, and how they’re being applied across sectors like healthcare, enterprise, and education—without needing to write code.
We’ll explore:
- What makes AI agents different from bots or automation scripts
- Core capabilities: memory, planning, tool use, communication, and learning
- Use cases: from care coordination and workflow agents to productivity and coaching companions
- How to evaluate frameworks like LangChain, CrewAI, and LangGraph (without needing to build them yourself)
- Leadership insights on agent architecture, team readiness, safety, and ethical design
- Future trends: multi-agent systems, embodied agents, and strategic AI roadmaps
You’ll leave with the ability to speak the language of AI agents, evaluate tools, identify valuable use cases, and guide technical or business teams in responsible deployment.
Who This Course Is For:
- Innovation and digital transformation leaders
- Product and strategy professionals exploring AI capabilities
- Business professionals who want to lead AI adoption — not just watch it happen
- Consultants and team leads who need to bridge business and AI development teams
- AI professionals, data scientists and programmers wanting to understand the principles of AI agents
No coding skills required. Just a sharp mind, a curiosity for emerging technologies, and a desire to shape the future of work.