Bengaluru, April 2026.

Great Learning, a leading global edtech company, has launched a Certificate Program in Agentic AI in collaboration with Johns Hopkins Whiting School of Engineering, a globally top-ranked U.S. university. The 16-week online program, designed and delivered by Johns Hopkins Engineering faculty and industry practitioners, equips STEM professionals, data and AI practitioners, product managers, and technical leaders to build autonomous, goal-driven AI agents capable of perceiving context, reasoning through complexity, and acting independently in dynamic environments.

Gartner projects that by 2028, 15 percent of day-to-day business decisions will be made autonomously by AI, and agentic capabilities will be embedded in one-third of enterprise software, up from less than 1 percent today. As adoption scales, professionals who can build and govern these systems will be the most sought-after in the industry.

The program begins with the fundamentals of large language models and how agents are designed and built. Learners then examine how agents plan and reason through complex tasks using frameworks such as ReAct and Chain-of-Thought, before advancing to multi-agent collaboration. The program concludes with a focus on human–AI interaction and responsible deployment, incorporating guardrails, monitoring mechanisms, and ethical considerations required in real production environments. For those new to programming, a structured Python prework module followed by an assessment ensures readiness before the main curriculum begins. Throughout, participants learn by doing and complete the program with a portfolio of applied projects that demonstrate their ability to design and deploy AI Agents.

Highlighting the importance of the program, Paul Huckett, Associate Dean, 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 organisations 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. 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.”

Talking about the collaboration, Arjun Nair, Co-Founder of Great Learning, added, “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 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.”

Delivered in a flexible online format, the program offers a blend of recorded video lectures, weekly live mentorship sessions with industry practitioners, and monthly live masterclasses by Johns Hopkins Whiting School of Engineering faculty.

Learners will be awarded a Certificate of Completion and 11 Continuing Education Units from Johns Hopkins Whiting School of Engineering, along with a shareable e-portfolio to showcase their applied projects, upon successful completion of the program. As AI evolves from task automation to autonomous, goal-driven systems, this program positions professionals at the forefront of enterprise innovation, empowering them to harness Agentic AI to drive efficiency, adaptability, and growth across industries.