10 Best Neural Networks Courses and Certifications Online

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Close up iPhone showing Udemy application and laptop with notebookThere are thousands of online courses and classes that will assist you improve your Neural Networks abilities and earn your Neural Networks certificate.

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

We have included just those courses that meet our top quality standards. We have actually put a lot of effort and time into collecting these all for you. These courses are suitable for all levels, beginners, intermediate learners, and experts.

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

10 Best Neural Networks Courses and Certifications Online

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. Neural Networks in Python: Deep Learning for Beginners by Start-Tech Academy Udemy Course

Learn Artificial Neural Networks (ANN) in Python. Build predictive deep learning models using Keras & Tensorflow| Python

As of right now, more than 119088+ people have enrolled in this course and there are over 1159+ reviews.

Course Content
Introduction
Setting up Python and Jupyter Notebook
Single Cells – Perceptron and Sigmoid Neuron
Neural Networks – Stacking cells to create network
Important concepts: Common Interview questions
Standard Model Parameters
Practice Test
Tensorflow and Keras
Python – Dataset for classification problem
Python – Building and training the Model
Python – Solving a Regression problem using ANN
Complex ANN Architectures using Functional API
Saving and Restoring Models
Hyperparameter Tuning
Add-on 1: Data Preprocessing
Add-on 2: Classic ML models – Linear Regression
Practice Assignment
Congratulations & about your certificate

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3. Artificial Neural Networks for Business Managers in R Studio by Start-Tech Academy Udemy Course

You do not need coding or advanced mathematics background for this course. Understand how predictive ANN models work

As of right now, more than 97597+ people have enrolled in this course and there are over 482+ reviews.

Course Content
Introduction
Setting Up R Studio and R crash course
Single Cells – Perceptron and Sigmoid Neuron
Neural Networks – Stacking cells to create network
Important concepts: Common Interview questions
Standard Model Parameters
Practice Test
Tensorflow and Keras
R – Dataset for classification problem
R – Building and training the Model
The NeuralNets Package
R – Complex ANN Architectures using Functional API
Saving and Restoring Models
Hyperparameter Tuning
Add-on 1: Data Preprocessing
Linear Regression Model
Practice Assignment
Congratulations & about your certificate

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4. 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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5. Artificial Intelligence II – Hands-On Neural Networks (Java) by Holczer Balazs Udemy Course

“Hopfield networks, neural networks, gradient descent and backpropagation algorithms explained step by step”

As of right now, more than 5015+ people have enrolled in this course and there are over 474+ reviews.

Course Content
Introduction
Artificial Intelligence Basics
Hopfield Neural Network Theory
Hopfield Neural Network Implementation
Neural Networks With Backpropagation Theory
Single Perceptron Model
Backpropagation Implementation
Logical Operators
Clustering
Classification – Iris Dataset
Optical Character Recognition (OCR)
Course Materials (DOWNLOADS)

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6. Introduction to Artificial Neural Network and Deep Learning by Seyedali Mirjalili Udemy Course

The Best Machine Learning Techniques for Data Science in Java and Neuroph with Application in Image Recognition

As of right now, more than 2960+ people have enrolled in this course and there are over 585+ reviews.

Course Content
“Preliminaries and Essential Definitions in Artificial Neural Networks
An Artificial Neuron (Perceptron)
Learning: How to train a Perceptron
A Perceptron Network, Deep Neural Networks, and deep learning
BP: Backpropagation Algorithm
Regression using Neural Networks
Neuroph
Free e-book”

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7. Neural Networks in Python from Scratch: Complete guide by “Jones Granatyr, Ligency I Team, Ligency Team, IA Expert Academy” Udemy Course

Learn the fundamentals of Deep Learning of neural networks in Python both in theory and practice!

As of right now, more than 2530+ people have enrolled in this course and there are over 288+ reviews.

Course Content
Introduction
Single layer perceptron
Multilayer perceptron
Libraries for neural networks

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8. Practical Neural Networks & Deep Learning In R by Minerva Singh Udemy Course

Artificial Intelligence & Machine Learning for Practical Data Science in R

As of right now, more than 1703+ people have enrolled in this course and there are over 208+ reviews.

Course Content
INTRODUCTION TO THE COURSE: The Key Concepts and Software Tools
Introduction to Artificial Neural Networks (ANN)
Start With Deep Neural Network (DNN)
ANN & DNN With MXNet Package in R
Convolution Neural Networks (CNN)

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9. neural networks for sentiment and stock price prediction by Dan We Udemy Course

How to predict stock prices with neural networks and sentiment with neural networks. Machine learning hands on data scie

As of right now, more than 1336+ people have enrolled in this course and there are over 235+ reviews.

Course Content
LSTM neural networks for stock price prediction
Sentiment prediction with LSTM neural networks
NEW BONUS – Predicting the next X days in the future with LSTM Models (multiple)

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10. Artificial Neural Network and Machine Learning using MATLAB by Nastaran Reza Nazar Zadeh Udemy Course

Learn to Create Neural Network with Matlab Toolbox and Easy to Follow Codes; with Comprehensive Theoretical Concepts

As of right now, more than 792+ people have enrolled in this course and there are over 232+ reviews.

Course Content
Introduction
Artificial Intelligence and Machine Learning
Fundamentals of Artificial Neural Network
MATLAB: Neural Net Fitting Tool
MATLAB: Scripts
MATLAB: Modified Advance Script
MATLAB: Engine Data Set (Multiple Targets)

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