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In a bold move to accelerate enterprise adoption of generative and agentic AI, Hexaware Technologies Ltd., a leading global IT services provider, has partnered with upGrad Enterprise, the corporate skilling arm of edtech giant upGrad, to launch the Agentic AI Academy. This initiative marks a significant milestone in workforce transformation, aiming to cultivate a new breed of AI architects equipped to design autonomous, intelligent systems that can revolutionize industries.
The Agentic AI Academy is not just another training program—it’s a strategic investment in the future of work. By combining Hexaware’s deep expertise in digital transformation with upGrad’s cutting-edge learning infrastructure, the academy will train over 100 Hexaware employees to become Gen AI architects, capable of building agentic AI solutions that operate across digital and physical environments.
What Is Agentic AI—and Why It Matters
Agentic AI refers to autonomous AI agents that can make decisions, take actions, and interact with other systems or humans in complex workflows. Unlike traditional AI models that require human prompts, agentic AI systems are designed to operate independently, learning from context and adapting to dynamic environments.
From underwriting loans to managing supply chains, agentic AI is poised to transform how businesses operate. Hexaware’s new academy will focus on training professionals to build these intelligent agents using advanced tools such as Model Context Protocol (MCP), a framework that enables seamless data integration across large language models.
“Agentic AI is the next frontier,” said Mehdi Goodarzi, Global Head of AI Business Unit at Hexaware. “We’re moving from experimentation to real-world deployment, and this academy is our launchpad for scaling innovation.”
Curriculum Designed for the Future
The Agentic AI Academy will offer a hybrid learning model that blends instructor-led sessions with self-paced eLearning modules. The curriculum includes:
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Gen AI Foundation and Advanced Courses
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Deep Learning and Natural Language Processing (NLP)
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Agentic AI Design Principles
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MCP Integration and Use Cases
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Ethical AI and Responsible Deployment
Participants will be selected based on performance ratings, technical background, and prior experience in roles such as technical architect. The goal is to build a cohort of elite professionals who can lead AI transformation projects across Hexaware’s global client base3.
“This initiative aligns with our mission to rapidly build Gen AI capabilities across our workforce,” said Satyendu Mohanty, EVP & Global Head – Talent Supply Chain and L&D at Hexaware. “We’re investing in our people to stay ahead of the curve and deliver unmatched value to our clients.”
A Strategic Collaboration
The partnership with upGrad Enterprise is a testament to Hexaware’s commitment to continuous learning and innovation. upGrad will provide the learning infrastructure, content development, and mentorship support to ensure participants are industry-ready.
“We’re thrilled to collaborate with Hexaware on this transformative journey,” said Srikanth Iyengar, CEO of upGrad Enterprise. “This isn’t just about upskilling—it’s about future-proofing talent and aligning capabilities with the evolving digital economy.”
The academy also reflects a broader trend in enterprise learning, where companies are moving beyond generic training to role-specific, outcome-driven programs that directly impact business performance.
Impact Beyond the Classroom
Hexaware’s Agentic AI Academy is expected to have ripple effects across the tech ecosystem. By cultivating Gen AI architects, the company is building internal capacity to deliver smarter, faster, and more adaptive solutions to clients in banking, healthcare, retail, and manufacturing.
Moreover, the academy will serve as a blueprint for other organizations looking to scale AI talent. With agentic AI gaining traction globally, Hexaware’s initiative positions it as a thought leader and pioneer in the space.
The company also plans to expand the academy to include external participants, including clients and partners, in future phases—creating a collaborative ecosystem for AI innovation.
Sources: Hexaware, IOT Insider, PR Newswire
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