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AI for Tech

Machine Learning in Business

AI is transforming the way companies measure performance, optimize processes, and make decisions. This program gives you a practical, structured introduction to using machine learning in real business environments, focusing on metrics, experimentation, and data collection.
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Learn how to measure, improve, and validate business performance using ML-friendly methods that help teams make better decisions with data.
Duration
40 hours
Level
Intermediate

Who is this program for

This course is built for:
Professionals transitioning into data or analytics roles
Business and product teams who need to work confidently with ML-focused metrics
Anyone who wants a practical introduction to applying ML in real business settings
Man wearing glasses and a black turtleneck sweater typing on a laptop at a wooden desk with a smartphone placed beside it.

Recommended prerequisites

Your team feels comfortable with basic arithmetic and spreadsheet-style calculations
Your team enjoys learning through examples and step-by-step analysis
Your team wants to prepare for more advanced ML and analytics topics

Modules Overview

Throughout the program, you will work with real business scenarios to calculate metrics, evaluate product changes, and collect data suitable for ML tasks. You’ll also practice A/B testing, confidence intervals, and cross-validation using Python and common analytical workflows.

8 Modules
Module 1. Course overview
Module 2. Entry Assessment
Module 3. Business Metrics
Module 4. Implementing New Functionality
Module 5. Data Collection
Module 6. Course Project
Module 7. Final Assessment
Module 8. Conclusion

Get in Touch!

You’re just one email away from transforming your company!

Our team will reach out to understand your strategic objectives and craft a tailored solution thatmeets your specific needs.
Fill in the form
Learn about our product
Receive a personalized offer based on your company’s needs
We will reach out to understand your objectives and craft a solution that means to you