10 Best Deep Learning Courses and Certifications Online 2023

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There are countless online courses and classes that will assist you improve your Deep Learning skills and earn your Deep Learning certificate.

In this short article, our experts have assembled a curated list of the 10 Best of the Best Deep Learning courses, tutorials, training programs, classes and certifications that are offered online right now.

We have included just those courses that fulfill our high-quality requirements. We have actually put a great deal of time and effort into gathering these all for you. These courses are suitable for all levels, beginners, intermediate students, and experts.

Here’s a look at these courses and what they have to offer for you!

10 Best Deep Learning Courses and Certifications Online

Course Name	Enrolled Students (Count)	Reviews (count)
1. Deep Learning A-Z™: Hands-On Artificial Neural Networks Our Best Pick	339115+	40911+
2. Complete Guide to TensorFlow for Deep Learning with Python	92744+	16491+
3. Data Science: Deep Learning and Neural Networks in Python	50178+	8513+
4. Tensorflow 2.0: Deep Learning and Artificial Intelligence	38052+	7527+
5. Advanced AI: Deep Reinforcement Learning in Python	35250+	4567+
6. Deep Learning: Convolutional Neural Networks in Python	31700+	4622+
7. “Deep Learning: Advanced Computer Vision (GANs, SSD, +More!)”	30031+	4692+
8. Deep Learning: Recurrent Neural Networks in Python	29522+	3956+
9. Deep Learning: Advanced Natural Language Processing and RNNs	25470+	4541+
10. Recommender Systems and Deep Learning in Python	20034+	3840+

1. Deep Learning A-Z™: Hands-On Artificial Neural Networks by “Kirill Eremenko, Hadelin de Ponteves, Ligency I Team, Ligency Team” Udemy Course Our Best Pick

Learn to create Deep Learning Algorithms in Python from two Machine Learning & Data Science experts. Templates included.

As of right now, more than 339115+ people have enrolled in this course and there are over 40911+ reviews.

Course Content

Welcome to the course
——————— Part 1 – Artificial Neural Networks ———————
ANN Intuition
Building an ANN
——————– Part 2 – Convolutional Neural Networks ——————–
CNN Intuition
Building a CNN
———————- Part 3 – Recurrent Neural Networks ———————-
RNN Intuition
Building a RNN
Evaluating and Improving the RNN
———————— Part 4 – Self Organizing Maps ————————
SOMs Intuition
Building a SOM
Mega Case Study
————————- Part 5 – Boltzmann Machines ————————-
Boltzmann Machine Intuition
Building a Boltzmann Machine
—————————- Part 6 – AutoEncoders —————————-
AutoEncoders Intuition
Building an AutoEncoder
——————- Annex – Get the Machine Learning Basics ——————-
Regression & Classification Intuition
Data Preprocessing Template
Logistic Regression Implementation
Bonus Lectures

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2. Complete Guide to TensorFlow for Deep Learning with Python by Jose Portilla Udemy Course

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

As of right now, more than 92744+ people have enrolled in this course and there are over 16491+ reviews.

Course Content

Introduction
Installation and Setup
What is Machine Learning?
Crash Course Overview
Introduction to Neural Networks
TensorFlow Basics
Convolutional Neural Networks
Recurrent Neural Networks
Miscellaneous Topics
AutoEncoders
Reinforcement Learning with OpenAI Gym
GAN – Generative Adversarial Networks
BONUS

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3. Data Science: Deep Learning and Neural Networks in Python by Lazy Programmer Inc. Udemy Course

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

As of right now, more than 50178+ people have enrolled in this course and there are over 8513+ reviews.

Course Content

“Welcome
Review
Preliminaries: From Neurons to Neural Networks
Classifying more than 2 things at a time
Training a neural network
Practical Machine Learning
TensorFlow, exercises, practice, and what to learn next
Project: Facial Expression Recognition
Backpropagation Supplementary Lectures
Higher-Level Discussion
Setting Up Your Environment (FAQ by Student Request)
Extra Help With Python Coding for Beginners (FAQ by Student Request)
Effective Learning Strategies for Machine Learning (FAQ by Student Request)
Appendix / FAQ Finale”

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4. Tensorflow 2.0: Deep Learning and Artificial Intelligence by “Lazy Programmer Inc., Lazy Programmer Team” Udemy Course

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

As of right now, more than 38052+ people have enrolled in this course and there are over 7527+ reviews.

Course Content

“Welcome
Google Colab
Machine Learning and Neurons
Feedforward Artificial Neural Networks
Convolutional Neural Networks
Recurrent Neural Networks, Time Series, and Sequence Data
Natural Language Processing (NLP)
Recommender Systems
Transfer Learning for Computer Vision
GANs (Generative Adversarial Networks)
Deep Reinforcement Learning (Theory)
Stock Trading Project with Deep Reinforcement Learning
Advanced Tensorflow Usage
Low-Level Tensorflow
In-Depth: Loss Functions
In-Depth: Gradient Descent
Extras
Setting up your Environment (FAQ by Student Request)
Extra Help With Python Coding for Beginners (FAQ by Student Request)
Effective Learning Strategies for Machine Learning (FAQ by Student Request)
Appendix / FAQ Finale”

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5. Advanced AI: Deep Reinforcement Learning in Python by “Lazy Programmer Team, Lazy Programmer Inc.” Udemy Course

The Complete Guide to Mastering Artificial Intelligence using Deep Learning and Neural Networks

As of right now, more than 35250+ people have enrolled in this course and there are over 4567+ reviews.

Course Content

Introduction and Logistics
The Basics of Reinforcement Learning
OpenAI Gym and Basic Reinforcement Learning Techniques
TD Lambda
Policy Gradients
Deep Q-Learning
A3C
Theano and Tensorflow Basics Review
Setting Up Your Environment (FAQ by Student Request)
Extra Help With Python Coding for Beginners (FAQ by Student Request)
Effective Learning Strategies for Machine Learning (FAQ by Student Request)
Appendix / FAQ Finale

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6. Deep Learning: Convolutional Neural Networks in Python by Lazy Programmer Inc. Udemy Course

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

As of right now, more than 31700+ people have enrolled in this course and there are over 4622+ reviews.

Course Content

Welcome
Google Colab
Machine Learning and Neurons
Feedforward Artificial Neural Networks
Convolutional Neural Networks
Natural Language Processing (NLP)
Convolution In-Depth
Convolutional Neural Network Description
Practical Tips
In-Depth: Loss Functions
In-Depth: Gradient Descent
Setting Up Your Environment (FAQ by Student Request)
Extra Help With Python Coding for Beginners (FAQ by Student Request)
Effective Learning Strategies for Machine Learning (FAQ by Student Request)
Appendix / FAQ Finale

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7. “Deep Learning: Advanced Computer Vision (GANs, SSD, +More!)” by Lazy Programmer Inc. Udemy Course

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

As of right now, more than 30031+ people have enrolled in this course and there are over 4692+ reviews.

Course Content

Welcome
Machine Learning Basics Review
Artificial Neural Networks (ANN) Review
Convolutional Neural Networks (CNN) Review
VGG and Transfer Learning
ResNet (and Inception)
Object Detection (SSD / RetinaNet)
Neural Style Transfer
Class Activation Maps
GANs (Generative Adversarial Networks)
Object Localization Project
Keras and Tensorflow 2 Basics Review
Setting Up Your Environment (FAQ by Student Request)
Extra Help With Python Coding for Beginners (FAQ by Student Request)
Effective Learning Strategies for Machine Learning (FAQ by Student Request)
Appendix / FAQ Finale

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8. Deep Learning: Recurrent Neural Networks in Python by Lazy Programmer Inc. Udemy Course

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

As of right now, more than 29522+ people have enrolled in this course and there are over 3956+ reviews.

Course Content

“Welcome
Google Colab
Machine Learning and Neurons
Feedforward Artificial Neural Networks
Recurrent Neural Networks, Time Series, and Sequence Data
Natural Language Processing (NLP)
In-Depth: Loss Functions
In-Depth: Gradient Descent
Extras
Setting Up Your Environment (FAQ by Student Request)
Extra Help With Python Coding for Beginners (FAQ by Student Request)
Effective Learning Strategies for Machine Learning (FAQ by Student Request)
Appendix / FAQ Finale”

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9. Deep Learning: Advanced Natural Language Processing and RNNs by Lazy Programmer Inc. Udemy Course

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

As of right now, more than 25470+ people have enrolled in this course and there are over 4541+ reviews.

Course Content

“Welcome
Recurrent Neural Networks, Convolutional Neural Networks, and Word Embeddings
Bidirectional RNNs
Sequence-to-sequence models (Seq2Seq)
Attention
Memory Networks
Keras and Tensorflow 2 Basics
Setting Up Your Environment (FAQ by Student Request)
Extra Help With Python Coding for Beginners (FAQ by Student Request)
Effective Learning Strategies for Machine Learning (FAQ by Student Request)
Appendix / FAQ Finale”

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10. Recommender Systems and Deep Learning in Python by Lazy Programmer Inc. Udemy Course

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

As of right now, more than 20034+ people have enrolled in this course and there are over 3840+ reviews.

Course Content

Welcome
Simple Recommendation Systems
Collaborative Filtering
Beginner Q&A
Matrix Factorization and Deep Learning
Restricted Boltzmann Machines (RBMs) for Collaborative Filtering
Big Data Matrix Factorization with Spark Cluster on AWS / EC2
Basics Review
Bayesian Ranking (Scary Version)
Setting Up Your Environment (FAQ by Student Request)
Extra Help With Python Coding for Beginners (FAQ by Student Request)
Effective Learning Strategies for Machine Learning (FAQ by Student Request)
Appendix / FAQ Finale

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Here are some frequently asked questions about learning Deep Learning

How Long Does It Take to Learn Deep Learning?

The answer to the question “How long does it ttake to learn Deep Learning” is … it depends. Everybody has different requirements, and everybody is working in different situations, so the answer for a single person may be completely different than for another person.

Consider these questions: What are you trying to Learn Deep Learning for? Where is your starting point? Are you a beginner or do you have experience with Deep Learning? How much can you practice? 1 hour each day? 40 hours weekly? Take a look at this course about Deep Learning.

Is Deep Learning Easy Or Hard to Learn?

No, learning Deep Learning isn’t hard for the majority of people. Check this course on how to Learn Deep Learning in no time!

How to Learn Deep Learning Fast?

The fastest method to Learn Deep Learning is to first get this Deep Learning course, then practice whatever you learn whenever you can. Even if its simply 15 minutes a day of practice. Consistency is crucial.

Where to Learn Deep Learning?

If you want to explore and learn Deep Learning, then Udemy offers you the best platform to learn the Deep Learning. Check this course on how to Learn Deep Learning in no time!

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