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Deep Learning courses

Learn Deep Learning online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.

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Packt

Deep Learning with Keras and Practical Applications

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…

  • Coursera
  • 18 hours
  • Self-paced
  • Paid certificate

Packt

Artificial Intelligence for Robotics

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,…

  • Coursera
  • 17 hours
  • Self-paced
  • Paid certificate

LearnKartS

Become AI-Ready: Deep Learning Fundamentals

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…

  • Coursera
  • 10 hours
  • Self-paced
  • Paid certificate

Packt

Hands-On Data Science with PyTorch & Pandas

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…

  • Coursera
  • 7.5 hours
  • Self-paced
  • Paid certificate

Packt

Accelerate Model Training with PyTorch 2.X

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…

  • Coursera
  • 9 hours
  • Self-paced
  • Paid certificate

Packt

Advanced Machine Learning, Big Data, and Deep Learning

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…

  • Coursera
  • 12 hours
  • Self-paced
  • Paid certificate

Packt

Introduction to RNN and DNN

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…

  • Coursera
  • 7 hours
  • Self-paced
  • Paid certificate

Packt

Deep Learning for Time Series Cookbook

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…

  • Coursera
  • 7 hours
  • Self-paced
  • Paid certificate

Packt

Sequence Modeling, Transformers, and Transfer Learning

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…

  • Coursera
  • 11 hours
  • Self-paced
  • Paid certificate

Packt

Advanced Chatbots with Deep Learning and Python

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…

  • Coursera
  • 4 hours
  • Self-paced
  • Paid certificate

Universidad de los Andes

Introducción al deep learning contemporáneo

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…

  • Coursera
  • 12 horas semanales
  • Self-paced
  • Paid certificate

EDUCBA

Deep Learning RNN & LSTM: Stock Price Prediction

4.513 ratings

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…

  • Coursera
  • 5 hours
  • Self-paced
  • Paid certificate

Whizlabs

Fundamentals of Deep Learning

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…

  • Coursera
  • 2 Weeks of Study, 4 hours/Week
  • Self-paced
  • Paid certificate

Università di Napoli Federico II

Python per la Data Science

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…

  • Coursera
  • Self-paced
  • Paid certificate

EDUCBA

Master Machine Learning with TensorFlow: Basics to Advanced

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…

  • Coursera
  • 20 hours
  • Self-paced
  • Paid certificate

EDUCBA

Apply Neural Networks for Car Price Prediction

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…

  • Coursera
  • 5 hours
  • Self-paced
  • Paid certificate

EDUCBA

Analyze and Apply Deep Learning for Computer Vision

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…

  • Coursera
  • 5.5 hours
  • Self-paced
  • Paid certificate

EDUCBA

Build Image and Text Models with Deep Learning

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…

  • Coursera
  • 8.5 hours
  • Self-paced
  • Paid certificate

EDUCBA

Deep Learning: Build & Optimize Neural Networks

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…

  • Coursera
  • 18 hours
  • Self-paced
  • Paid certificate

EDUCBA

Face Recognition with Keras: Detect & Classify

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…

  • Coursera
  • 6.5 hours
  • Self-paced
  • Paid certificate