Machine Learning Using Python Certification Course
Learn one of the most in-demand skills of the decade with Digitribe’s Machine Learning Using Python course. Designed for professionals breaking into AI and data science, this hands-on program takes you from core ML concepts to deploying real-world models using Python, the industry’s go-to language for machine learning.
in AI & Machine LearningCourse Overview
This 8-week training combines live instructor-led sessions with self-paced resources, helping learners build and deploy ML models using Python libraries like scikit-learn, pandas, and NumPy. With real-world projects and industry-recognized certification, this course prepares you for a career in AI, data science, and automation.
Learning Path

Skills & Technologies Covered
- Supervised and unsupervised learning
- Regression, classification, and clustering models
- Model evaluation, tuning, and optimization
- Python libraries: scikit-learn, pandas, NumPy, Matplotlib
- Deploying models in Jupyter Notebooks
- Data cleaning, feature selection, and preprocessing techniques
Target Audience
- Data analysts and developers moving into ML
- Engineers and IT professionals upskilling in AI
- Students and recent graduates exploring data science
- Anyone aiming to launch a career in machine learning or AI engineering
Learning Benefits & Outcomes
Gain hands-on experience building ML models that solve real business challenges. From Python basics to advanced evaluation techniques, you'll graduate with a job-ready portfolio and the confidence to tackle real-world AI applications. Learners report significant career growth — from salary hikes to promotions and new roles.
Job Role Matrix

Training Options
- * Collaborative Learning
- * Group Activities
- * Cost-Effective
- * Healthy Competition
- * Collaborative Learning
- * Group Activities
- * Cost-Effective
- * Healthy Competition
- * Flexible pricing & billing options
- * Private cohorts available
- * Training progress dashboards
- * Skills assessment & benchmarking
- * Platform integration capabilities
- * Dedicated customer success manager
- * Flexible pricing & billing options
- * Private cohorts available
- * Training progress dashboards
- * Skills assessment & benchmarking
- * Platform integration capabilities
- * Dedicated customer success manager