Company Background

A globally recognized engineering and technology leader, with decades of expertise in mobility solutions, industrial systems, and advanced software services, launched an enterprise-wide initiative to strengthen its workforce in AI and data-driven skills. Known for combining deep engineering heritage with digital innovation, the company partnered with Simplilearn to implement a structured, role-based upskilling strategy aligned with real-world project needs.

To foster a future-ready workforce and accelerate innovation, the company emphasized the importance of continuous learning and skills mastery in artificial intelligence, machine learning, and data engineering. This transformation was part of a broader employee reskilling movement led by its internal Centre of Excellence team.

Objective

The company set out to strengthen technical capabilities in AI, ML, and data domains across its engineering teams.

The goal was to align skill-building efforts to practitioner-level job roles, encourage deeper course engagement, and ensure a meaningful application of newly acquired skills in day-to-day project environments.

  • Create tailored learning paths aligned to AI, ML, and Data Engineering practitioner roles

  • Build a culture of continuous learning and increase course completion rates

  • Drive on-the-job application by ensuring at least 40% of learners unlock certifications

Simplilearn’s Solution

To meet these objectives, Simplilearn delivered a multi-tiered learning solution through its enterprise skilling platform.

What began with a Self-Service Portal evolved into a  Simplilearn Learning Hub+ license, offering unlimited access to structured learning paths, live classes, expert mentoring, and curated labs across AI and data domains. The program was embedded into the company's reskilling initiative to support long-term transformation goals.

  • Launched the learning journey with structured access to Simplilearn Learning Hub+ (SLH+)

  • Delivered high-touch mentoring and live webinars across AI, ML, and Data to boost engagement

  • Created a 3-stage knowledge progression model to ensure steady skill advancement and role alignment

Learning Outcomes

  • The program scaled from just 500 learners in 2019 to over 10,000 participants by 2025
  • More than 90,000 live class hours were delivered, enriching the learner experience through instructor-led sessions
  • Over 35,000 certifications were unlocked, marking significant course completions and job-readiness
  • 35,000+ projects were completed, helping learners apply skills to practical scenarios
  • The program achieved a Net Promoter Score (NPS) of 80+, reflecting strong satisfaction and learner engagement across the board

Conclusion

This AI competency-building initiative demonstrated how enterprise-wide skilling, when tied to job roles and real project needs, can deliver impactful results at scale. By aligning training with business priorities, the company successfully built a future-ready workforce equipped to lead in AI and data innovation.

Simplilearn Learning Hub+, a learning library, enabled this success by providing a structured, scalable learning ecosystem. With SLH+, organizations gain access to role-aligned learning paths, hands-on labs, live mentoring, and certifications, empowering employees to upskill effectively and contribute with confidence.

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