MongoDB Plans to Upskill Two Million Builders in India by 2030, Expands AI and Database Training

MongoDB has announced plans to upskill two million Indian builders by 2030 through an expanded academia program, new regional partnerships, and local-language learning initiatives. 

The announcement, made at MongoDB.local Bengaluru, also included the launch of new AI capabilities designed to help enterprises overcome key barriers to deploying artificial intelligence at scale.

The company will expand its MongoDB for Academia program by partnering with more than 1,500 educational institutions across India and providing curriculum support and hands-on training to 5,000 educators. 

Since its launch in September 2023, the initiative has already trained over 650,000 students through collaborations with the All India Council for Technical Education (AICTE), SmartBridge, ICT Academy, and leading universities.

As part of the expansion, MongoDB will collaborate with HCL GUVI to deliver its curriculum in Kannada, Hindi, and Tamil, while a partnership with ICT Academy of Kerala (ICTAK) will extend training to more than 100 institutions across the state. 

The company will also work with institutions including Birla Institute of Technology & Science, SRM Institute of Science and Technology, KL University Hyderabad, and Ramaiah Institute of Technology to integrate modern database technologies and MongoDB expertise into academic curricula.

"MongoDB's founding mission was to make data incredibly easy for builders to work with," said Raghu Viswanathan, Vice President, Education, Academia and Documentation at MongoDB. “This mission is as important as ever because the hard part about building AI in production isn't the model. It's the data layer underneath it.”

MongoDB also announced it will deepen its collaboration with AICTE through their joint Virtual Internship Programme, aimed at preparing students for the rapidly evolving AI landscape.

"In India, we have a massive opportunity with AI to transform our economy and the lives of our citizens. But to take advantage of it, our developers must have the right skills," said Buddha Chandrasekhar, CEO, Anuvadini AI, Ministry of Education, and Chief Coordinating Officer, AICTE. “While the technology is changing fast, the importance of strong data skills remains the constant foundation for any builder. We are excited to expand our partnership with MongoDB to ensure every Indian student has access to the tools they need to succeed in the AI era, regardless of what language they speak or where they live.”

Alongside its education initiatives, MongoDB unveiled new AI capabilities aimed at addressing two of the biggest obstacles to enterprise AI adoption—retrieval accuracy and infrastructure compliance. 

The company introduced Voyage Context 4, Hybrid Search, and Native Reranking, with Native Reranking improving retrieval quality by up to 30%. Search and Vector Search capabilities are now generally available for MongoDB Enterprise Advanced and Community Edition, enabling deployment across on-premises, private cloud, and local environments.

"The biggest barrier to enterprise AI in production and at scale isn't the LLM. It's memory, retrieval, accuracy, and compliance. Most enterprises aren't blocked by ambition. They're held back by infrastructure that wasn't designed to provide AI with trusted access to enterprise data. Bolting on more systems to solve those problems only creates more vendors, more latency, and more points of failure," said Ben Cefalo, Chief Product Officer, Core Products, MongoDB. 

The company also highlighted customer adoption through Emergent Labs, an AI-native application development platform that migrated from PostgreSQL to MongoDB Atlas to improve AI agent performance.

"Our agents write code, modify data structures, and act on what they read back millions of times a day. If retrieval returns something stale or wrong, the agent builds on it, and the error compounds," said Mukund Jha, CEO of Emergent Labs.