IBM – Machine Learning with Python Course (Mentor-Led Learning)

The IBM – Machine Learning with Python Course is an industry-aligned, hands-on program designed to help learners build machine learning models using Python and industry-standard libraries. The curriculum follows professional practices and workflows aligned with standards inspired by IBM, ensuring relevance for modern data and AI roles.

In the first month, learners focus on Python for Machine Learning, covering core ML algorithms and end-to-end model building techniques. The course introduces supervised and unsupervised learning, helping learners understand how machines learn from data and make predictions.

The second month emphasizes practical implementation, where learners work on live machine learning projects, apply model tuning and validation techniques, and understand evaluation metrics used to measure model performance in real-world scenarios.

The third month is dedicated to reinforcement and readiness, including assignments, quizzes, and certification preparation. This phase strengthens conceptual clarity, improves problem-solving skills, and prepares learners for entry-level ML job roles and certification assessments.

By the end of this program, learners will be able to:

• Build machine learning models using Python

• Apply supervised and unsupervised learning techniques

• Evaluate, tune, and validate ML models

• Work confidently on real-world ML projects and assessments

This program is ideal for students, freshers, and professionals aiming to start careers in Machine Learning, Data Analytics, or Python Development.