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Learn Deep Learning online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.
716 courses
Packt
Updated in May 2025. This course now features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Embark on a comprehensive journey into deep lear…
Packt
This course dives deep into the integration of artificial intelligence and machine learning within robotics. You will learn to build intelligent robots capable of performing real-world tasks using ROS 2, Python, OpenCV, and advanced AI/ML techniques. By focusing on neural networks, computer vision,…
LearnKartS
Everyone talks about AI these days, but few people can actually explain how it works under the hood. This Deep Learning fundamentals course closes that gap by helping you learn how deep learning models are built, trained, & fixed when they get it wrong. The course consists of three modules. First M…
Packt
This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Data science is transforming how organizations analyze information, build…
Packt
This course teaches you techniques to dramatically speed up model training using the latest features in PyTorch 2.X. Mastering these optimization strategies is essential for professionals building scalable, high-performance AI systems. You’ll learn how to refine your training workflow, improve comp…
Packt
This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Dive deep into advanced machine learning techniques, including data minin…
Packt
Artificial Intelligence is transforming industries by enabling machines to learn from data and make intelligent decisions. This course offers an in-depth exploration of Recurrent Neural Networks (RNN) and Deep Neural Networks (DNN), two pivotal AI technologies. You’ll start with the basics of RNNs…
Packt
Deep Learning for Time Series Cookbook is a hands-on course that helps you tackle a variety of time series problems using deep learning through practical coding recipes. You'll learn how to develop accurate forecasting models and extract insights from temporal data using the PyTorch ecosystem. Thro…
Packt
This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. This course provides a comprehensive journey into sequence modeling, tran…
Packt
Updated in May 2025. This course now features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. This course is designed to equip learners with t…
Universidad de los Andes
El aprendizaje profundo actualmente es una parte central de la inteligencia artificial contemporánea, y se refiere al proceso realizado por los computadores para aprender de la experiencia permitiendo describir abstracciones complejas a partir de conceptos más simples de forma jerárquica. Este curs…
EDUCBA
Discover how deep learning can be applied to stock price prediction by building a Recurrent Neural Network (RNN) with Long Short-Term Memory (LSTM) layers in Python. This hands-on course guides you through the complete workflow, from setting up your development environment and preparing financial d…
Whizlabs
Fundamentals of Deep Learning is a structured course designed for developers, data professionals, and AI enthusiasts who want to build a strong foundation in neural networks and modern deep learning techniques. This course focuses on core deep learning principles, including how artificial neurons w…
Università di Napoli Federico II
Python per la Data Science è un corso cruciale per qualsiasi professionista che voglia analizzare grandi quantità di dati attraverso le più recenti tecniche di machine Learning e Deep learning. Il core del corso è rappresentato dall’utilizzo dei notebook: una nuova forma di fruizione dei contenuti…
EDUCBA
Build a strong foundation in machine learning, deep learning, and TensorFlow through a structured, hands-on learning experience that takes you from core concepts to practical model development. In this course, you will learn how machine learning works, explore real-world applications across industr…
EDUCBA
By the end of this course, learners will be able to analyze structured datasets, prepare features for machine learning, build and evaluate neural network regression models, and apply regularization techniques to improve predictive performance. They will gain hands-on experience transforming raw car…
EDUCBA
By the end of this course, learners will be able to analyze core deep learning architectures, apply neural networks to visual data, and evaluate computer vision techniques for real-world problem solving. Learners will develop the ability to interpret how models learn from images, select appropriate…
EDUCBA
By the end of this course, learners will prepare image and text datasets, construct classification models, train neural networks, evaluate model performance, and apply transformer architectures for text generation. This practical course explores two major applications of deep learning: computer vis…
EDUCBA
Build practical deep learning skills and learn to build, train, evaluate, and optimize neural networks with PyTorch. You’ll begin by distinguishing machine learning from deep learning and exploring perceptrons, neural networks, and their role in real-world AI systems. You’ll then set up Jupyter Not…
EDUCBA
Build practical face recognition skills with Keras, convolutional neural networks (CNNs), MTCNN, and FaceNet. Designed for learners who want hands-on experience in computer vision and deep learning, this project-based course guides you through building a complete face detection and recognition syst…
