What Leaders@Harman Had To Say
“Several of the people who have graduated out of this program have already started working on advanced projects related to Data Science and AI and are successfully building and implementing ML models. So, in fact, several of them are working and we are launching a number of these models through AWS Marketplace. Some of learners are working on Text Processing models, some of them working on Anomaly Detection etc. So, these are people who have no background or no exposure to any Data Science or AI ML in the past and this course really helped these people a lot, making this possible.
A big thank you to everyone for this and really appreciate all the help. I look forward to working with you guys closely in the future!”
- Business Leader 1
Problem- Lack of Capability Building To Realize The Goals of Digital Engineering
The absence of a robustAI/ML training program to upskill the workforce posed a significant challenge for Harman. If designed right, the program could bring the desired leverage across digital engineering, significantly strengthening key positions like Quality Analysts, Associate Engineers, and Data Architects.
Solution - A Customized Learning Plan Using NIIT-StackRoute’s IMPACT Framework
When creating a functional learning experience, customization holds the key. With Harman, things weren’t different either. That’s why, we relied on NIIT-StackRoute’s IMPACT Framework to devise a learning strategy, keeping in line with Harman’s tech and innovation goals. Key program objectives included defining, curating, and implementing goal-driven learning across all levels. The training program was divided into three distinct stages focusing on Data Science, Machine Learning, and Big Data.
Foundation
Training the workforce to develop a deep understanding of mathematical principles, statistical analysis, and vital insights into mastering Data Science with Python programming
Core
Using application-driven learning of regression, classification, and unsupervised learning, the training module comprised vital learning points across Data Science, Data Engineering, and Python for web services
Capstone
Showcasing end-to-end execution at an enterprise level by reviewing implementations and redesigning existing solutions
The Team Behind
The key team members of the learning and training program
Vishnupriya Raghavan, Santosh Subramaniam, Anirudh Vamanmurthy Parvatikar, Kavya N P, Adhish Nanda, Gaurav Baidyasen, Shruti Wadhwa, Anuron Mitra, Syed Shamshuddin, Tineshwari Pathade, Prathima Prabhu, Abhilash Chauhan, Sajid Patel, Sachin Grover, Neha Gade
Business Impact
The AI/ML capability development program witnessed an impressive 100 % deployment for all young professionals. Further, it helped build a future-ready workforce, well-versed in handling emerging technologies and industry-leading products and solutionsz
Award
2023 Brandon Hall Excellence Gold Award in the Best Training Program for the Extended Enterprise category.
Trusted By The Best In The Business
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