Machine Learning (Professional Learning)

The Machine Learning – Advanced course is a professional, industry-aligned program designed for learners who want to master advanced ML techniques and real-world problem solving. This course focuses on deep conceptual understanding, model optimization, and hands-on project execution aligned with current industry requirements.

The curriculum covers neural network concepts and training, enabling learners to understand network architectures, activation functions, and learning processes. Participants will gain clarity on bias–variance trade-off and model fitting, learning how to diagnose underfitting and overfitting and improve model performance.

Learners will explore unsupervised learning techniques, such as clustering and dimensionality reduction, along with reinforcement learning concepts, understanding how intelligent agents learn through interaction with environments.

A major highlight of the course is advanced internship-level projects involving real-world predictions, classification problems, and fraud detection applications. These projects simulate industry scenarios and help learners build job-ready Machine Learning portfolios.

Delivered in a professional, mentor-led format, the course emphasizes applied learning, model evaluation, and business-oriented ML solutions. Upon successful completion, learners receive globally recognized certifications, including a Certification from Microsoft, along with participation, industrial training, and internship completion certificates.

This advanced Machine Learning course is ideal for data scientists, ML engineers, analysts, and professionals aiming for senior roles in AI, Machine Learning, and data-driven decision-making.