Agentic AI Fundamentals: Architectures, FrameWorks, and Applications

Looking to dive into the world of agentic AI? The course covers the essential concepts, architectures, and frameworks that form the foundation of autonomous agents. Explore decision-making processes, machine learning techniques, and multi-agent systems and gain practical knowledge to develop and deploy agentic AI solutions.

Learning objectives

• Understand the fundamentals of agentic AI, including agent architectures, decision-making frameworks, and environment interaction.
• Learn how to implement machine learning techniques, such as reinforcement learning, to enable agents to learn and adapt.
• Gain knowledge of multi-agent systems, communication protocols, and negotiation strategies.
• Discover practical applications of agentic AI in industries such as robotics, finance, healthcare, and transportation.
• Develop an understanding of the ethical and societal implications of agentic AI and learn how to design secure and robust agents.

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