Machine Learning with Python Course with Internship (Self-Paced Learning)

The Machine Learning with Python Course is a practical, career-focused program designed to help learners master the fundamentals and applications of machine learning using Python. This course emphasizes predictive model building, data-driven decision making, and real-world implementation, making it ideal for anyone aiming to enter the AI and data science domain.

In the first phase of the program, learners gain a strong foundation in Python for Machine Learning, including data handling, feature engineering, and model evaluation. The curriculum covers both supervised and unsupervised learning algorithms, enabling learners to understand how machines learn from structured and unstructured data.

The advanced phase focuses on model deployment and internship-based projects, where learners work on real datasets and practical use cases. This hands-on approach ensures exposure to end-to-end machine learning workflows—from data preparation to production-ready models.

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

• Build and evaluate machine learning models using Python

• Apply ML algorithms to real-world datasets

• Deploy machine learning models for practical use

• Work on internship-level projects for portfolio development

This program is suitable for students, fresh graduates, and professionals aiming for roles in Machine Learning, Data Analytics, and AI Development.