IIIT Hyderabad Launches 3-Month Certificate Program on Engineering Agentic AI Systems

Hyderabad, December 17, 2025: The International Institute of Information Technology Hyderabad (IIIT Hyderabad), through its Division of Flexible Learning (DFL), has announced the launch of a new 12-week online certificate program titled “Engineering Agentic AI Systems: Agentic AI from Concepts to Practice.”

The program will be delivered by Prof. Karthik Vaidhyanathan, Assistant Professor at IIIT Hyderabad and a leading researcher in AI and Software Engineering. Designed to be hands-on and practice-oriented, the course enables learners to design, build, test, and deploy agentic AI systems grounded in real-world use cases.

Speaking on the launch, Prof. Sandeep Shukla, Director, IIIT Hyderabad, said: “This program reinforces our commitment to advancing high-quality AI education at scale—for working professionals as well as for students who are unable to partake in the world-class AI research at the IIIT Hyderabad campus. Agentic AI represents a significant leap in how transformer-based AI models are orchestrated into parallel pipelines of complex tasks to automate end-to-end business processes. By empowering learners beyond our campus to build agentic workflow solutions, we aim to help create a competent workforce for a rapidly evolving IT industry.”

Prof. Venkatesh Choppella, Associate Dean, Division of Flexible Learning, IIIT Hyderabad, added: “At DFL, our goal is to bring the best of IIIT Hyderabad’s educational programs to learners across the world in a structured and accessible manner. This program on Agentic AI is a continuation of that effort. It blends emerging concepts with practical engineering methodologies, preparing participants to build intelligent, robust, and scalable systems.”

Highlighting the focus of the program, Prof. Karthik Vaidhyanathan, Course Instructor, noted: “Agentic AI calls for a system-centric way of thinking, where engineering matters as much as—if not more than—the models themselves. This course brings together our academic research and practical experience to help learners build agentic AI systems that are reliable, scalable, sustainable, and ready for real-world deployment.”