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    Prof. Dr. Ana-Maria Olteteanu

    AI Agents for Leaders By Prof. Dr. Ana-Maria Olteteanu

    Prof. Dr. Ana-Maria Olteteanu

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    AI Agents · Online Course

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    AI Agents for Leaders · Program

    About this program

    AI Agents for Leaders

    Online Course

    Learning format

    AI Agents

    Subcategory

    English

    Course language

    $19.99 (list $9.99)

    Price

    Price may change · updated within 1–2 weeks

    Official program page

    What you'll learn in AI Agents for Leaders

    • 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.

    What's Included in AI Agents for Leaders

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