Tech Mahindra scales Google Cloud Gemini Enterprise AI training to 12,500+ associates
Tech Mahindra is rolling out a Google Cloud 'Build with Gemini' workshop to more than 12,500 associates worldwide as it pushes agentic AI from experimentation into production.
- 12,500+
- 146,000+
- 90
What Happened
Tech Mahindra announced an expansion of its agentic AI readiness through a partnership with Google Cloud. The company said the partnership aims to scale hands-on capabilities of Google Cloud Gemini Enterprise across its global workforce to support growing enterprise demand for production-ready AI. Its scaled readiness combines trained and certified talent with reusable industry solutions, production deployment experience, and a growing portfolio of agentic AI solutions and agents. The combination is designed to help customers move from AI experimentation to implementation and adoption, and it reinforces Tech Mahindra's focus on collaborating with Google Cloud to help enterprises build the skills, solutions and delivery capacity needed to move agentic AI into production at scale.
12,500+associates
Google Cloud hands-on workshop Tech Mahindra is rolling out worldwide to build Gemini Enterprise skills.
- Rolled out to more than 12,500 associates worldwide as an immersive, hands-on event
- Participants learn to create, secure and govern AI agents using Gemini Enterprise tools and solutions
- Tools covered include Agent Runtime, Agent Gateway and Model Armor
- Associates who complete the workshop earn a Google Cloud Skill Badge
- Skills are meant to be applied directly into client engagements
Tech Mahindra's expanding portfolio includes industry-specific solutions available through Google Cloud Marketplace, enabling customers to accelerate adoption of enterprise AI with capabilities designed for real-world business environments. The work builds on Tech Mahindra's experience deploying Gemini Enterprise in complex enterprise environments and developing industry-specific agentic AI solutions across telecommunications, financial services, manufacturing, retail and other sectors. The company said the effort complements its broader 'AI Delivered Right' strategy, which focuses on translating AI innovation into responsible, secure and measurable enterprise outcomes.
“Enterprise AI will scale only when organizations can combine technology innovation with the talent and delivery capability required to put it into production. Together with Google Cloud, we are building that capability by combining hands-on Gemini Enterprise expertise with industry solutions, agents, and real-world deployment experience. This strengthens our ability to help clients move faster from AI ambition to measurable outcomes, consistent with our AI Delivered Right approach.”
“Enterprises are shifting rapidly from AI experimentation to deployment, where domain expertise and robust engineering matter most. By scaling Gemini Enterprise, Tech Mahindra equips its global teams to build, deploy, and govern agentic AI solutions. Together, we are helping joint customers accelerate innovation and drive business value with Google Cloud.”
Why this matters
The move shows how technology services firms are gearing up for enterprise demand for AI that actually reaches production, not just pilot projects. It affects Tech Mahindra's own workforce, which gains hands-on Gemini Enterprise skills and credentials, and customers in sectors such as telecom, financial services, manufacturing and retail, who get access to that trained talent and ready-made solutions.
Terms in This Story
- agentic AI
- AI systems built to act on their own to complete multi-step tasks, rather than only responding to individual prompts.
- Gemini Enterprise
- Google Cloud's enterprise offering for building, deploying and governing AI agents inside organizations.
- Google Cloud Skill Badge
- A credential Google Cloud issues to recognize that someone has completed a hands-on skills training activity.
- AI Delivered Right
- Tech Mahindra's stated strategy focused on translating AI innovation into responsible, secure and measurable enterprise outcomes.
Summarised from the linked release; details can be imperfect — always verify against the original source.