Scaling AI-Ready Engineering Talent:
Building production-ready capabilities across software engineering, cloud, cybersecurity, and AI teams at enterprise scale.
Date
24th June 2026
Platform
Zoom Platform
Time
11:30 AM - 12:30 PM
Coursera For Business
AI Workforce Transformation
With 168 million learners and partnerships with 350+ universities and organizations, Coursera offers a diverse range of programs in high-demand fields like GenAI, data science, technology, and business. They're committed to providing universal access to world-class learning, aligning perfectly with our mission
India’s technology sector is entering a defining new phase of global leadership. As enterprises and Global Capability Centers (GCCs) evolve from operational back offices into strategic innovation engines, the mandate is no longer simply scaling talent—it is building AI-ready engineering organizations capable of driving global product innovation, accelerating delivery velocity, and securing enterprise-wide transformation.
The challenge is urgent. India’s AI talent demand is projected to reach 1.25 million roles by 2027, while the half- life of technical skills continues to shrink rapidly in the age of Generative AI. At the same time, organizations are under pressure to improve productivity, modernize engineering workflows, and enable teams to work alongside AI-powered development tools. Traditional learning models and fragmented upskilling approaches are no longer sufficient to meet the pace of technological change.
As AI increasingly reshapes software engineering, cloud operations, cybersecurity, and product development, technology leaders must move beyond ad hoc learning toward a skills-first transformation strategy—one that ensures capabilities are verified, role-ready, and directly aligned to business outcomes and technology roadmaps.
This transformation also extends beyond technical teams. Many organizations continue to face internal execution gaps where non-technical stakeholders underestimate the operational, governance, and talent requirements needed to scale AI successfully across the enterprise. In this new era, AI readiness is becoming an organization-wide capability challenge, not just a technology initiative.
This executive roundtable brings together technology, engineering, HR, and learning leaders from India’s leading enterprises and GCCs to discuss how organizations can accelerate AI capability at scale, build production-ready engineering talent, and redefine workforce transformation in an increasingly AI-powered economy.
Scaling AI-Ready Engineering Talent:
Building production-ready capabilities across software engineering, cloud, cybersecurity, and AI teams at enterprise scale.
Closing India’s AI Talent Gap:
Addressing the widening demand-supply imbalance for AI and advanced technology skills through scalable, verifiable learning pathways.
Transforming GCCs into Innovation Engines:
Enabling India’s GCCs to evolve from operational delivery centers into globally strategic product and innovation hubs.
AI Literacy Beyond Technical Teams:
Ensuring product, operations, compliance, and business functions can effectively collaborate in AI-led transformation initiatives.
Learning as a Business Performance Lever:
Connecting workforce capability development directly to engineering quality, delivery velocity, innovation outcomes, and enterprise competitiveness.
Preparing for AI-driven workflows, evolving job roles, and human-machine collaboration:
Adapting to the changing landscape of work in an AI-powered future.
Welcome & Opening Remarks by the Gainskills Moderator
Presentation of Sneha Bhattacharya, Account Director at Coursera
Audience Poll & Interactive Q&A
Panel Discussion
Closing Takeaways & Alignment Summary
Wrap-Up & Conclusion