Great Learning partners with Johns Hopkins, US to offer agentic AI program

Great Learning has partnered with Johns Hopkins Whiting School of Engineering, US, to launch a new certificate program in Agentic AI, aimed at equipping professionals with skills to build autonomous, goal-driven AI systems.

The 16-week online program is designed and delivered by faculty from Johns Hopkins Engineering along with industry practitioners.

It targets STEM professionals, data and AI practitioners, product managers, and technical leaders, focusing on creating AI agents that can perceive context, reason through complex situations, and act independently in dynamic environments.

The curriculum begins with fundamentals of large language models and agent design, progressing to planning and reasoning through complex tasks using frameworks like ReAct and Chain-of-Thought.

Learners then explore multi-agent collaboration, human–AI interaction, and responsible deployment, including ethical considerations, monitoring mechanisms, and guardrails.

Beginners are supported through a structured Python prework module and assessment to ensure readiness for the main program. Participants complete applied projects throughout the course, culminating in a portfolio demonstrating their ability to design and deploy AI agents.

Paul Huckett, Associate Dean of Johns Hopkins Engineering Executive and Professional Education, said, "At Johns Hopkins, we've always believed that the toughest engineering challenges require both strong technical skills and a sense of responsibility. Agentic AI is precisely that kind of challenge. These systems don't just follow instructions; they think, decide, and act on their own, and that's a powerful capability that comes with serious implications.”

“It is no longer enough for organizations to build intelligent systems; they need professionals who understand how to govern them. The faculty teaching this program are at the intersection of AI research and real-world deployment, bringing the kind of depth that this challenge demands,” Huckett added.

Huckett continued, “This program is built on the pedagogical principles that define a Johns Hopkins education: rigorous theory, applied practice, and the judgment to know the difference between building a system that works and building one that can be trusted.”

Arjun Nair, Co-Founder of Great Learning, said, “We have entered an era where AI systems are no longer just assistants; they are becoming decision-makers. Leading AI companies are releasing frontier agentic models at an accelerating pace, and the demand for professionals who can build and govern these systems has never been greater.”

“The question is no longer how to use AI as a tool, but how to design systems that operate autonomously and responsibly. Our collaboration with Johns Hopkins Whiting School of Engineering, US, is focused on building that capability early. Grounded in the university's research depth and engineering rigor, the program prepares practitioners to build, deploy, and govern agentic AI with confidence in real production environments,” Nair added.

Delivered fully online, the program combines recorded lectures, weekly live mentorship sessions with industry experts, and monthly masterclasses led by Johns Hopkins faculty.

Successful participants will receive a Certificate of Completion; 11 Continuing Education Units from Johns Hopkins Whiting School of Engineering, US; and a shareable e-portfolio showcasing applied projects.

As AI transitions from simple task automation to autonomous, goal-driven systems, the program aims to position professionals at the forefront of enterprise innovation, enabling them to leverage Agentic AI for efficiency, adaptability, and business growth.