Foundations of Agentic AI: From Reactive to Autonomous Systems
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Training TypeLive Training
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CategoryMachine Learning
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Duration1 Hours
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Rating4.8/5
Course Introduction
About the Course
This foundational course introduces learners to the key concepts, technologies, and design principles that define agentic AI. Participants will trace the journey from rule-based reactive systems to sophisticated agents capable of memory, planning, and tool use. The course provides both theoretical grounding and practical examples to understand how agentic systems are constructed and deployed in real-world scenarios, including customer service, education, and intelligent automation.
Course Objective
Understand the difference between reactive, proactive, and agentic systems
Learn about the historical development of agent-based AI
Identify core components of an agentic system (e.g., goals, memory, planning)
Analyze real-world applications of agentic AI
Lay the groundwork for designing your own agentic AI solutions
Who is the Target Audience?
Beginners in AI, non-technical professionals, educators, digital transformation leaders, and anyone seeking to understand the strategic potential of agentic AI.
Basic Knowledge
No programming experience is required. A general interest in AI, automation, or digital innovation is helpful.
Available Batches
| 14 Jul 2025 | Mon ( 1 Day ) | 12:00 PM - 01:00 PM (Eastern Time) |
| 06 Aug 2025 | Wed ( 1 Day ) | 12:00 PM - 01:00 PM (Eastern Time) |
Pricing
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