Data Science
Build an AI-Powered Personalized Learning Assistant for Employee Upskilling
Design and prototype an AI-powered system that personalizes employee learning pathways using data insights, recommendation logic, and generative AI.
Certified by
Role
Data Scientist
Industry
Education
No. of Subscribers
1
Level
Intermediate
Time Commitment
100 Hours
Duration
60 days
Tools you’ll learn
Here’s What You Work On
About the Company
By taking up this internship, you will gain hands-on experience in building AI-enabled learning tools — from analyzing real-world data to designing personalized recommendations and simulating a conversational learning assistant.
You will explore how AI can transform employee development, and walk away with a functional prototype and a portfolio-ready project that demonstrates product thinking, data fluency, and AI integration.
You will explore how AI can transform employee development, and walk away with a functional prototype and a portfolio-ready project that demonstrates product thinking, data fluency, and AI integration.
Explore
the following work techniques
Exploratory Data Analysis
Recommendation Systems
Generative AI Application
Bridging the gap
Today’s corporate learning systems are often generic and poorly aligned with individual learner needs, leading to disengagement and low upskilling impact.
This internship challenges you to solve that problem by designing an intelligent assistant that uses AI to tailor training content, adapt learning formats, and proactively engage employees.
The purpose is to empower you to move beyond theory and apply AI as a tool for meaningful, human-centered change in workplace development.
This internship challenges you to solve that problem by designing an intelligent assistant that uses AI to tailor training content, adapt learning formats, and proactively engage employees.
The purpose is to empower you to move beyond theory and apply AI as a tool for meaningful, human-centered change in workplace development.
Apply
the following skills
Data Analysis & Modelling
Data Visualization
Design thinking
Expected output
You will deliver data-driven insights, learner personas, a custom recommendation scoring system, and a basic system architecture.
You will generate AI-personalized content, simulate assistant interactions, and build a functional prototype of a learning assistant — culminating in a portfolio-ready solution that applies AI to personalize employee learning.
You will generate AI-personalized content, simulate assistant interactions, and build a functional prototype of a learning assistant — culminating in a portfolio-ready solution that applies AI to personalize employee learning.
Create
the following deliverables
System Architecture Diagram
Recommendation Model
Final Summary Report
What you’ll need before starting
- Basic Data Handling & Analysis
- Foundational Understanding of AI & Recommendation Systems
- Analytical & Problem-Solving Thinking
