Certificate in Machine Learning

COURSE DETAILS

Machine learning is a powerful tool in artificial intelligence. This course explores machine learning algorithms, model development, and practical applications in areas such as natural language processing and computer vision.

Objective

To teach students the foundations of machine learning.
To enable students to develop and deploy machine learning models.
To prepare students for machine learning roles.

Course Structure

This course is organized into 8 online live class sessions, with each session lasting 2 hours. Each session is carefully designed to concentrate on specific elements of the course material, allowing you to progressively develop your understanding and expertise as you follow the curriculum outlined below.

Session 1: Introduction to Machine Learning
Session 2: Data Preprocessing
Session 3: Supervised Learning
Session 4: Supervised Learning (Continued)
Session 5: Unsupervised Learning
Session 6: Neural Networks and Deep Learning
Session 7: Natural Language Processing (NLP)
Session 8: Model Deployment and Future Trends

Weekly Assignment

You will receive either a reading or problem-solving assignment each week. Completing all your weekly assignments is a mandatory requirement to successfully finish the course.

Reading assignments are designed to help you understand key concepts and theories related to the course material. Be sure to engage with the readings actively, taking notes and highlighting important points.
Problem-solving assignments will challenge you to apply what you've learned. Carefully read and analyze the problem statements, and use the knowledge gained from the readings and previous weeks to solve them.