Course Description

The Agentic AI course explores the next frontier of Artificial Intelligence — systems capable of autonomous decision-making, goal-oriented behavior, and self-directed learning. Building upon Generative AI foundations, this course introduces the concept of agency in AI models, enabling them to act proactively, collaborate, and achieve defined objectives with minimal human intervention.
Learners will gain hands-on experience in designing, developing, and deploying intelligent agents powered by advanced AI frameworks, large language models (LLMs), and orchestration tools.

Key Highlights

• Comprehensive coverage of Agentic AI concepts and frameworks
•  Practical understanding of autonomous and goal-driven AI systems
•  Integration of LLMs, APIs, and external tools for agentic workflows
•  Hands-on projects with AI orchestration and multi-agent systems
•  Focus on ethical, responsible, and explainable AI practices
•  Real-world use cases across business automation, research, and analytics

What You Will Learn

By the end of this course, you will be able to:

• Understand the core principles and architecture of Agentic AI systems
• Build and manage autonomous AI agents capable of dynamic decision-making
• Implement agentic behavior using LLMs and AI orchestration frameworks
• Develop multi-agent environments for collaborative AI applications
• Apply Agentic AI in real-world domains such as operations, analytics, and customer engagement
• Evaluate and ensure ethical governance and accountability in autonomous AI systems