Machine Learning (Self-Paced Learning)

The Machine Learning – Beginner course is a foundational program designed for students and beginners who want to start a career in Machine Learning and Artificial Intelligence. This course builds strong fundamentals in Python programming while introducing key Machine Learning concepts and real-world applications.

The curriculum begins with Python basics and variables, helping learners understand Python syntax, data types, and programming logic. Participants will learn about Python features and installation, enabling them to set up a development environment and write basic programs confidently.

The course provides a clear overview of Machine Learning, explaining how machines learn from data and how ML is applied in real-world scenarios. Learners will understand the differences between Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning, building strong conceptual clarity.

A unique highlight of the course is the conceptual understanding of self-driving cars, helping learners visualize how ML models are used in autonomous systems. The self-paced format allows learners to study flexibly over 3 months, making it ideal for beginners and non-technical learners.

Upon successful completion, participants receive industry-recognized certifications, including participation, industrial training, and internship completion certificates, enhancing employability in AI and ML domains.

This beginner Machine Learning course is ideal for students, freshers, and professionals looking to build a strong foundation before moving into advanced ML and data science courses.