Upskilling Data Scientists and AI/ML Engineers for a Fortune 500 Human Resources Management Leader [Case Study]

Challenge

A leading Fortune 500 company specializing in human resources management solutions needed to rapidly upskill and onboard new Data Scientists and AI/ML Engineers to support its growing AI initiatives. To meet its upskilling needs, the company sought a training provider capable of delivering a tailored and impactful program that aligned with their unique requirements and technology stack.

Methodology

We began by conducting in-depth interviews with key stakeholders, including hiring managers, team leads, and new hires, to gain a thorough understanding of the company's objectives, technical environment, and existing skill gaps. We performed pre-assessments to gauge the participants' baseline knowledge and tailor the program accordingly. This needs analysis ensured that the curriculum would be relevant, engaging, and directly applicable to the company's real-world challenges.

Solution

We designed six week blended learning program that combined the best of instructor-led training and self-paced learning. The program was delivered through a mix of:

• Live online sessions: Led by experienced data scientists and AI/ML engineers, these sessions provided expert instruction, fostered collaboration, and allowed for real-time Q&A.
• Interactive exercises: Hands-on labs and coding challenges reinforced key concepts and allowed participants to practice their skills in a safe environment.
• Dedicated learning platform: A curated online platform provided access to course materials, self-paced modules, and additional resources for ongoing learning and support.

The program culminated in a group capstone project, where participants worked collaboratively to develop and deploy an AI solution to a real-world business problem. This project provided invaluable experience and allowed participants to demonstrate their newly acquired skills.

Program Highlights

• Introduction to SQL: Covering the fundamentals of database management and data manipulation.  
• AWS Technical Essentials: Providing a foundational understanding of cloud computing concepts and AWS services.  
• CI/CD using GitHub and Microservices Development in Python: Focusing on continuous integration and deployment pipelines for efficient software development.  
• Data Engineering with Python and Databricks: Equipping participants with the skills to build robust data pipelines and manage large datasets.  
• Practical Data Science and Machine Learning with Python: Covering essential algorithms, model training, and evaluation techniques.  
• Process Engineering, DevOps, SRE, DevSecOps (in the context of ML or AI): Addressing the operational aspects of deploying and managing machine learning models.  
• Machine Learning with Databricks: Deepening participants' understanding of machine learning workflows on the Databricks platform.  
• Neural Networks, CNN, and RNN: Exploring advanced neural network architectures for complex tasks.  
• Comprehensive Generative AI for Developers: Covering the fundamentals and applications of generative AI models.  
• Group Capstone Project: Deep Learning / GenAI: Providing a hands-on experience in developing and deploying AI solutions.  
• AI Security, Compliance, and Explainability: Addressing the ethical and security considerations of AI systems.  

Outcomes

This program enabled the client to successfully upskill their new hires, equipping them with the necessary skills to tackle critical data science and machine learning projects. By aligning the training with business requirements, the program ensured a smooth onboarding process and maximized the return on investment.  Key outcomes included:

• Increased productivity: Participants demonstrated a significant improvement in their ability to perform core data science and AI/ML tasks, leading to increased productivity and faster project completion times.
• Reduced onboarding time: The structured training program accelerated the onboarding process, enabling new hires to become productive members of the team more quickly.
• ROI/Learning Gain: a 72% learning gain signifies a profound impact on participants' understanding of data science and AI/ML. This remarkable improvement showcases the effectiveness of our training program in fostering knowledge acquisition and practical application. 

  Preliminary Assessment: 68%, Final Assessment: 91%,  Learning Gain: 72%
  

  
  • Enhanced employee satisfaction: Participants reported high levels of satisfaction with the program, citing its relevance, practicality, and engaging delivery. Here is some feedback from the learners in this program:

  “[Instructor]  went above and beyond to teach us everything that was required and more. She has really good presentation skills and always relates what we learned to real world examples.”

  “The technologies being taught are very useful and relevant to what is used in the industry today.” ​

  “It was very helpful doing an entire project on our own, it helps me to gain confidence”

  “I learned a lot and brushed up on some things I need to successfully contribute to my team.”

  About Ascendient Learning

  Partnering with us brings you:

  • 60+ years of combined experience in technical training across our three respected brands: Web Age Solutions, Accelebrate, and ExitCertified.  
  • Tailored upskilling solutions that precisely match your organization's strategic goals and talent development needs.  
  • A blended learning approach combining the best of instructor-led training, on-demand learning, and hands-on project experience.  

  We have a wide variety of Data Science, AI/ML, and Generative AI courses that can be customized and delivered online or at your site, on your schedule. Contact us for private, customized training tailored to your unique needs.