Online certifications to grow your career in data science
HyperSense AI Certification Program

Showcase your expertise in machine learning and HyperSense AI by completing online certification programs.

Available Programs

Get certified today. Enroll here.
COURSE 1 – AI 101

Beginners Program

Purpose of the program: To enable non-technical users to design, build and deploy AI/ML models using Subex HyperSense AI by providing an in-depth understanding of fundamentals of Data Science and AI/ML Model Building on a “NO-Code” tool like HyperSense AI.

Eligibility: Ideal for Beginners

Benefits of the program:

  1. Helps non-technical users become citizen data scientists (data scientists who can build statistical or machine learning models without a need for coding)
  2. Gain understanding of AI/ML application in business context
  3. Implement AI/ML models with business functions and drive value
  4. Work with other data scientists to drive large scale implementation
Introduction to DS and Elements in DS Duration: 45 minutes
  • Introduction to AI/ML
  • EDA
    • Statistical Analysis
    • Visual Analytics
  • Predictive modeling overview
Building your first ML model on HyperSense AI Duration: 60 Minutes
  • Data Science Workflow
  • Data Preparation
  • EDA and feature synthesis
  • Feature selection
  • Model Training – Algorithm selection, Hyperparameter tuning, Evaluation
  • Model Evaluation
Hands-on Lab on HyperSense HyperSense AI Duration: 40 Minutes
  • Build first regression model (Demand forecasting using regression)
  • Build first classification model (Churn Prediction)
COURSE 2 – AI 101

Expert Program

Purpose of the program: To enable ‘Citizen Data Scientist’ to build robust AI/ML models leveraging advanced data science capabilities of HyperSense AI by providing an in-depth understanding of machine learning processes, techniques, and hyper parameterization.

Eligibility: Ideal for those complete Beginner’s course

Benefits of the program:

  1. Helps data savvy users such as data analyst, business analyst and citizen data scientist build custom AI/ML models
  2. Improve performance of existing AI/ML models
  3. Accelerate impact and value of AI/ML within business functions
  4. Collaborate with data scientists and engineers for large scale AI/ML implementation driving higher adoptionIdeal for those complete Beginner’s course
Introduction to common machine learning technique Duration: 1.5 Hours
  • Common Predictive Modeling Techniques
  • How do the algorithms learn from data?
  • How to evaluate the ML model?
Hands-on Lab on AI Studio Duration: 30 Hours
  • Build custom predictive models in AI Studio
Advanced Machine Learning Duration: 1 Hour
  • How can I improve my model?
  • What is AUTO CASH?
  • Can you explain why the model does what it does?