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Neural Networks Courses

Neural networks courses can help you learn the basics of architecture design, backpropagation, activation functions, and optimization techniques. You can build skills in training models, tuning hyperparameters, and evaluating performance metrics. Many courses introduce tools like TensorFlow and PyTorch, that support implementing neural networks in practical applications such as image recognition, natural language processing, and predictive analytics.


Popular Neural Networks Courses and Certifications


  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Networking and Storage

    Skills you'll gain: Data Storage, OSI Models, General Networking, Wireless Networks, Data Storage Technologies, Local Area Networks, Networking Hardware, Computer Networking, Network Architecture, Network Infrastructure, TCP/IP, Network Protocols, Microsoft Windows, Network Troubleshooting, Network Security, System Configuration, Wide Area Networks, Hardware Architecture, Command-Line Interface

    4.7
    Rating, 4.7 out of 5 stars
    ·
    566 reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Fake News Detection with Machine Learning

    Skills you'll gain: Recurrent Neural Networks (RNNs), Exploratory Data Analysis, Deep Learning, Text Mining, Matplotlib, Data Cleansing, Data Analysis, Data Preprocessing, Natural Language Processing, Data Manipulation, Python Programming, Machine Learning, Model Evaluation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    264 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    S

    SAS

    Generative AI Using SAS

    Skills you'll gain: Generative AI, Retrieval-Augmented Generation, Large Language Modeling, Generative Adversarial Networks (GANs), Responsible AI, Embeddings, Data Synthesis, SAS (Software), Text Mining, Natural Language Processing

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    SAS

    Machine Learning Using SAS Viya

    Skills you'll gain: Data Preprocessing, Model Deployment, Model Evaluation, Supervised Learning, Decision Tree Learning, Applied Machine Learning, Predictive Modeling, Random Forest Algorithm, Feature Engineering, SAS (Software), Machine Learning, Data Analysis, Business Analysis, Artificial Neural Networks, Classification Algorithms, No-Code Development, Statistical Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    102 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Foundations of AI, LLMs, and Development Environments

    Skills you'll gain: OpenAI API, Generative Model Architectures, Hugging Face, Programming Principles, Computer Programming, Software Installation

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    AWS Networking, Compute & IAM Architecture

    Skills you'll gain: AWS Identity and Access Management (IAM), Amazon Web Services, Identity and Access Management, Amazon Elastic Compute Cloud, Cloud Computing Architecture, Cloud Computing, Network Security, Virtual Networking, Network Architecture, Cloud Infrastructure, Authentications, Virtual Private Networks (VPN), Multi-Factor Authentication, Cloud Security, Load Balancing, Containerization, Scalability

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Cybersecurity Tools & Cyberattacks

    Skills you'll gain: Malware Protection, Identity and Access Management, Incident Response, Cybersecurity, Computer Security Incident Management, Network Security, Threat Management, Threat Detection, Cyber Attacks, Authentications, Distributed Denial-Of-Service (DDoS) Attacks, Security Awareness, Digital Forensics, Security Controls, Multi-Factor Authentication, Human Factors (Security)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    16K reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Machine Learning with ChatGPT: Image Classification Model

    Skills you'll gain: Model Evaluation, ChatGPT, Keras (Neural Network Library), Applied Machine Learning, Tensorflow, Data Preprocessing, Image Analysis, Machine Learning Methods, Data Import/Export, Machine Learning, Python Programming, Performance Tuning, Artificial Neural Networks

    4.4
    Rating, 4.4 out of 5 stars
    ·
    34 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    AI for Cybersecurity

    Skills you'll gain: Generative Adversarial Networks (GANs), Anomaly Detection, AI Security, Generative AI, Fraud detection, Intrusion Detection and Prevention, Model Evaluation, Malware Protection, Cyber Threat Hunting, Cybersecurity, Threat Detection, Cyber Threat Intelligence, Feature Engineering, Network Analysis, Cyber Attacks, Cyber Security Strategy, Applied Machine Learning, Email Security, Network Security, Jupyter

    4.3
    Rating, 4.3 out of 5 stars
    ·
    99 reviews

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Facial Expression Recognition with PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Transfer Learning, Convolutional Neural Networks, Deep Learning, Image Analysis, Computer Vision, Model Evaluation, Data Preprocessing, Classification Algorithms

    3.9
    Rating, 3.9 out of 5 stars
    ·
    60 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Machine Learning with TensorFlow on Google Cloud en Español

    Skills you'll gain: Feature Engineering, Responsible AI, Tensorflow, Exploratory Data Analysis, Data Quality, Machine Learning, Applied Machine Learning, Keras (Neural Network Library), Scikit Learn (Machine Learning Library), Google Cloud Platform, MLOps (Machine Learning Operations), Model Deployment, Data Cleansing, Supervised Learning, Data Preprocessing, Data Strategy, Artificial Neural Networks, Model Evaluation, Logistic Regression, Performance Tuning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    448 reviews

    Intermediate · Specialization · 3 - 6 Months

  • G

    Google Cloud

    Encoder-Decoder Architecture

    Skills you'll gain: Model Deployment, Keras (Neural Network Library), Tensorflow, Recurrent Neural Networks (RNNs), Generative Model Architectures, Machine Learning Methods, Artificial Neural Networks

    4.3
    Rating, 4.3 out of 5 stars
    ·
    51 reviews

    Advanced · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular neural networks courses

  • Introduction to Networking and Storage: IBM
  • Fake News Detection with Machine Learning: Coursera
  • Generative AI Using SAS: SAS
  • Machine Learning Using SAS Viya: SAS
  • Foundations of AI, LLMs, and Development Environments: Packt
  • AWS Networking, Compute & IAM Architecture: Packt
  • Introduction to Cybersecurity Tools & Cyberattacks: IBM
  • Machine Learning with ChatGPT: Image Classification Model: Coursera
  • AI for Cybersecurity: Johns Hopkins University
  • Facial Expression Recognition with PyTorch : Coursera

Skills you can learn in Machine Learning

Python Programming (33)
Tensorflow (32)
Deep Learning (30)
Artificial Neural Network (24)
Big Data (18)
Statistical Classification (17)
Reinforcement Learning (13)
Algebra (10)
Bayesian (10)
Linear Algebra (10)
Linear Regression (9)
Numpy (9)

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