CNNs

EdX

IBM

Deep Learning with Python and PyTorch (edX)

Statistics & Data Analysis Data Science

Dive into the world of advanced deep learning with our expert-led course, 'Deep Learning with Python and PyTorch'. This course is designed to build upon your foundational knowledge in PyTorch, equipping you with the skills to construct sophisticated deep neural networks and train them using state-of-the-art methodologies. Whether you're a data scientist, machine learning enthusiast, or AI developer, this course will empower you to create and deploy complex models that can tackle real-world challenges.

Self Paced

Self-Paced

Python ML Machine Learning

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Coursera

DeepLearning.AI

Advanced Computer Vision with TensorFlow (Coursera)

Data Science

Dive deep into the world of advanced computer vision with our expert-led course on TensorFlow. From image classification to complex object detection and segmentation, this course will equip you with the skills to analyze images at a sophisticated level using state-of-the-art models like ResNet-50 and Mask-RCNN. Whether you're looking to improve existing systems or develop new applications in computer vision, this course is your gateway to mastering cutting-edge techniques.

Sep 14th 2026

4 Weeks

ML Computer Vision Visualization

Details

EdX

Arm Education,ArmEducationX

Machine Learning at the Edge on Arm: A Practical Introduction (edX)

Engineering Eng: Electronics

Embark on a journey into the future of machine learning with 'Machine Learning at the Edge on Arm: A Practical Introduction'. This course is designed for tech enthusiasts and professionals looking to harness the power of edge computing and Arm-based microcontrollers. Learn how to create cutting-edge ML applications that process data locally, enhancing efficiency and privacy.

Self Paced

Self-Paced

ML Artificial Intelligence Machine Learning

Details

Coursera

IBM

Deep Neural Networks with PyTorch (Coursera)

Data Science

Dive into the world of deep learning and master the powerful PyTorch framework with our expert-led course. From understanding basic concepts like tensors and automatic differentiation, to implementing complex models such as convolutional networks and recurrent neural networks, you'll gain a thorough understanding of building state-of-the-art deep learning solutions.

Jul 6th 2026

5-12 Weeks

Python ML Machine Learning

Details

Coursera

University of Glasgow

Deep learning in Electronic Health Records - CDSS 2 (Coursera)

Data Science

Dive into the world of Deep Learning as applied to Electronic Health Records with our comprehensive course. Master the art of dealing with complex EHR datasets, including imputation techniques and encoding strategies for continuous, ordinal, and categorical variables. Apply your skills on real-world data from the MIMIC-III database to create robust clinical prediction benchmarks.

Jul 6th 2026

4 Weeks

Artificial Intelligence Deep Learning Recurrent Neural Networks

Details

Coursera

Coursera Project Network

Brain Tumor Classification Using Keras (Coursera)

Statistics & Data Analysis Data Science

Dive into this comprehensive guided project and master the art of classifying brain tumors using Keras. With over 3000 Brain MRI scans categorized into Glioma, Meningioma, Pituitary Tumor, and No Tumor classes, you'll develop an efficient neural network model for accurate predictions.

Mar 14th 2022

Self-Paced

MRI Python Programming Deep Learning

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EdX

Purdue University,PurdueX

Introduction to Deep Learning (edX)

Data Science

Dive into the world of artificial intelligence with our 'Introduction to Deep Learning' course on edX. This 3-credit-hour program is designed for those new to machine learning and eager to explore how deep learning can be used to tackle significant engineering challenges. Over a span of 16 weeks, you'll build a strong foundation in deep neural networks, engage in practical projects, and master the use of TensorFlow and Keras tools.

Aug 23rd 2021

13-24 Weeks

TensorFlow Deep Learning Recurrent Neural Networks

Details

EdX

IBM

Deep Learning with Tensorflow (edX)

Statistics & Data Analysis Data Science

Dive into the world of Deep Learning with Tensorflow and learn how to harness the potential of deep neural networks for solving complex, real-world problems involving unstructured data like images, sound, and text. This course will guide you through the fundamentals and applications of deep learning, enabling you to unlock new insights from vast datasets.

Self Paced

Self-Paced

TensorFlow Deep Learning Restricted Boltzmann Machines

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EdX

IBM

Using GPUs to Scale and Speed-up Deep Learning (edX)

Statistics & Data Analysis Data Science

Master the art of using powerful GPUs to accelerate and scale your deep learning projects. This course will teach you how to leverage accelerated hardware to significantly reduce training times, enabling faster development and deployment of complex deep learning models.

No sessions available

5-12 Weeks

GPU TensorFlow Deep Learning

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