Machine Learning with AI

Course Objective

The objective of this programme is to develop participants' understanding of fundamental Machine Learning and AI concepts and provide hands-on exposure to building and evaluating basic machine learning models.

The programme aims to enable participants to understand how data can be used to develop predictive models, identify patterns, automate tasks, and support intelligent decision-making.

Course Outcomes

After successful completion of the programme, participants will be able to:

• Understand the fundamentals of Artificial Intelligence and Machine Learning.
• Explain the difference between AI, Machine Learning, and Deep Learning.
• Understand the Machine Learning lifecycle and workflow.
• Prepare, clean, and preprocess datasets for machine learning.
• Understand Supervised and Unsupervised Learning concepts.
• Apply basic classification and regression techniques.
• Understand clustering and pattern identification.
• Split datasets into training and testing sets.
• Understand model training, prediction, and evaluation.
• Apply appropriate performance metrics to evaluate basic models.
• Identify and understand common machine learning challenges such as overfitting and underfitting.
• Use AI-assisted tools and techniques to support learning and model development.
• Interpret machine learning results and generate meaningful insights.
• Apply machine learning concepts to practical business and real-world problems.
• Develop a basic machine learning project using a real-world dataset.

Course Highlights

Course Details