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This course is designed for anyone interested in diving into the world of Deep Learning, whether you're a complete beginner or have some prior experience with Machine Learning. You will gain a solid understanding of key Deep Learning concepts and be able to apply them to real-world challenges, transforming your career and enhancing your problem-solving skills.

Deep Learning

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Learn to create Deep Learning models in Python from two Machine Learning, Data Science experts. Code templates included.

deeplearning

Deep Learning A-Z 2025: Neural Networks, AI & ChatGPT Prize

DS & AI Instructor

Kirill

Kirill Eremenko

Passionate AI Instructor

Hadelin

Hadelin de Ponteves

Helping Data Scientists Succeed

SuperDataScience

SuperDataScience Team

Ligency

Ligency Team

This course is perfect for AI enthusiasts, students, and business professionals looking to deepen their understanding of Natural Language Processing (NLP). Whether you're just starting your career or aiming to enhance your portfolio with practical NLP applications, this course will equip you with the skills to address real-world challenges. Expect to gain hands-on experience in building advanced NLP models and translating text data into actionable insights.

Natural Language Processing

Solve Seq2Seq and Classification NLP tasks with Transformer and CNN using Tensorflow 2 in Google Colab

modern-nlp

Modern Natural Language Processing in Python

Freelance data scientist

Martin

Martin Jocqueviel

The Complete Self-Driving Car Course - Applied Deep Learning

When I started this course it was somehow challenging and not an easy approach because of my background. Now I can say that it is the course you need for entry into self-driving cars and any advanced classes. Recommended for all.

Learn deep learning from top-rated instructors. Find the best deep learning courses for your level and needs, from Big Data and machine learning to neural networks and artificial intelligence. Master deep learning with Python, TensorFlow, PyTorch, Keras, and keep up-to-date with the latest AI and machine learning algorithms

Top Deep Learning Courses Online - Updated [June 2025]

Most popular

Beginner Favorites

This course is perfect for programmers and Python enthusiasts eager to dive into the world of deep learning. Whether you're a beginner or have some experience, you will transform your understanding of artificial intelligence and machine learning fundamentals. By the end of the course, you'll be equipped to create programs that automate feature extraction and solve real-world problems.

Complete Deep Learning Course to Master Data science, Tensorflow, Artificial Intelligence, and Neural Networks

deep-learning-basics-with-python

Python for Deep Learning: Build Neural Networks in Python

Let's code & build the metaverse together!

Meta Brains

Unlock Your AI Potential

Skool

Skool of AI

This course is perfect for Python students eager to dive into the world of deep learning using TensorFlow. You will gain a solid understanding of how neural networks operate and learn to build your own from scratch. By the end of this course, you will be equipped with cutting-edge techniques and practical skills that will empower you to tackle real-world problems in deep learning.

Polish

Polski

Learn how to use Google's Deep Learning Framework - TensorFlow with Python! Solve problems with cutting edge techniques!

complete-guide-to-tensorflow-for-deep-learning-with-python

Complete Guide to TensorFlow for Deep Learning with Python

Head of Data Science at Pierian Training

Jose

Jose Portilla

Data Science and Machine Learning Training

Pierian

Pierian Training

This course is perfect for beginners to advanced students eager to explore the world of deep learning using TensorFlow 2.0. You will gain a strong understanding of AI technologies, including how to build models for various applications such as computer vision, natural language processing, and more. Expect to transform your coding skills and be equipped to tackle real-world projects with confidence.

Machine Learning & Neural Networks for Computer Vision, Time Series Analysis, NLP, GANs, Reinforcement Learning, +More!

deep-learning-tensorflow-2

[2025] Tensorflow 2: Deep Learning & Artificial Intelligence

Artificial intelligence and machine learning engineer

Lazy Programmer

Lazy Programmer Inc.

Artificial Intelligence and Machine Learning Engineer

Lazy Programmer Team

This course is designed for aspiring data scientists and machine learning professionals with a basic understanding of linear models. You will gain a comprehensive insight into how deep learning works by building your very first artificial neural network from scratch in Python. Expect to transform your understanding of machine learning by learning to visualize and implement neural networks effectively.

Python

The MOST in-depth look at neural network theory for machine learning, with both pure Python and Tensorflow code

data-science-deep-learning-in-python

Data Science: Deep Learning and Neural Networks in Python

This course is designed for students, professionals, and anyone interested in Deep Learning, Computer Vision, or NLP, especially those looking to enhance their skills in these cutting-edge fields. You will gain a solid understanding of Convolutional Neural Networks (CNNs) and their applications in image recognition and text classification. Prepare to transform your knowledge into practical skills that will elevate your career in data science and machine learning.

Convolutional Neural Networks

Tensorflow 2 CNNs for Computer Vision, Natural Language Processing (NLP) +More! For Data Science & Machine Learning

deep-learning-convolutional-neural-networks-theano-tensorflow

Deep Learning: Convolutional Neural Networks in Python

This advanced course is designed for students and professionals eager to elevate their understanding of computer vision and deep learning. You will explore cutting-edge architectures like VGG, ResNet, and Inception, while gaining hands-on experience with object detection systems and neural style transfer. Expect to transform your skills and knowledge in a way that empowers you to tackle real-world challenges in AI.

VGG, ResNet, Inception, SSD, RetinaNet, Neural Style Transfer, GANs +More in Tensorflow, Keras, and Python

advanced-computer-vision

Deep Learning: Advanced Computer Vision (GANs, SSD, +More!)

This course is designed for students, professionals, and anyone interested in deep learning, particularly those looking to enhance their skills in time series forecasting and natural language processing. You will gain hands-on experience in building and understanding Recurrent Neural Networks (RNNs) using TensorFlow 2. Expect to transform your understanding of AI technologies and their applications in real-world scenarios.

GRU, LSTM, Time Series Forecasting, Stock Predictions, Natural Language Processing (NLP) using Artificial Intelligence

deep-learning-recurrent-neural-networks-in-python

Deep Learning: Recurrent Neural Networks in Python

This course is designed for students and professionals in machine learning, deep learning, artificial intelligence, and data science who have a foundational understanding of these concepts. You will gain the ability to build advanced NLP systems that tackle real-world problems such as text classification and machine translation. By the end of the course, you will transform your theoretical knowledge into practical skills that can be immediately applied in exciting AI projects.

Natural Language Processing (NLP) with Sequence-to-sequence (seq2seq), Attention, CNNs, RNNs, and Memory Networks!

deep-learning-advanced-nlp

Deep Learning: Advanced Natural Language Processing and RNNs

This course is perfect for students, machine-learning enthusiasts, and aspiring data scientists eager to dive deep into the world of deep learning. You will gain a comprehensive understanding of deep learning concepts, empowering you to tackle complex AI challenges and implement sophisticated models. With hands-on practice and expert guidance, you'll transform your skills and knowledge into real-world applications.

Czech

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Finnish

Suomi

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Українська

Master deep learning in PyTorch using an experimental scientific approach, with lots of examples and practice problems.

deeplearning_x

A deep understanding of deep learning (with Python intro)

Educator and writer

Mike X

Mike X Cohen

This course is perfect for anyone involved in online business, including students and professionals in machine learning, deep learning, and data science. You will gain a deep understanding of recommender systems and learn to implement advanced algorithms that drive user engagement and revenue. Transform your ability to make data-driven recommendations that resonate with your audience, and unlock new opportunities for your business.

Recommendation Engine

The most in-depth course on recommendation systems with deep learning, machine learning, data science, and AI techniques

recommender-systems

Recommender Systems and Deep Learning in Python

This course is tailored for intermediate to advanced Python developers eager to dive into the world of Deep Learning using PyTorch. You will transform your understanding of neural networks and gain the ability to create sophisticated models that can tackle real-world data challenges. Experience a blend of theoretical concepts and practical exercises that will empower you to apply deep learning techniques effectively.

PyTorch

Learn how to create state of the art neural networks for deep learning with Facebook's PyTorch Deep Learning library!

pytorch-for-deep-learning-with-python-bootcamp

PyTorch for Deep Learning with Python Bootcamp

Courses to get you started

Deep learning courses cover a subset of machine learning that uses multi-layered neural networks to teach fundamental concepts and develop advanced machine learning models, valuable for data scientists and AI researchers.