Certificate in Deep Learning

COURSE DETAILS

Deep learning is a subset of machine learning that focuses on neural networks and complex data representations. This course explores deep learning concepts and applications, including image and speech recognition.

Objective

To provide in-depth knowledge of deep learning and neural networks.
To enable students to build and train complex neural networks.
To prepare students for deep 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 Deep Learning
Session 2: Neural Networks and Activation Functions
Session 3: Convolutional Neural Networks (CNNs)
Session 4: Recurrent Neural Networks (RNNs)
Session 5: Generative Adversarial Networks (GANs)
Session 6: Natural Language Processing (NLP)
Session 7: Transfer Learning and Fine-Tuning
Session 8: Building Deep Learning Projects

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.