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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
    G

    Google

    Play It Safe: Manage Security Risks

    Skills you'll gain: Security Management, Threat Management, Cybersecurity, Cyber Risk, Risk Management Framework, Risk Management, Business Risk Management, Incident Response, Vulnerability Management, Risk Mitigation, Security Information and Event Management (SIEM), Security Controls, Computer Security, Risk Analysis, Threat Detection, Open Web Application Security Project (OWASP), Event Monitoring, Auditing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    11K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Preparing for Google Cloud Certification: Cloud Network Engr

    Skills you'll gain: Application Performance Management, Distributed Denial-Of-Service (DDoS) Attacks, Google Cloud Platform, Cloud Infrastructure, Load Balancing, Prompt Engineering, Kubernetes, Network Performance Management, Network Monitoring, Prompt Engineering Tools, Containerization, Firewall, Virtual Networking, Network Architecture, Network Planning And Design, Infrastructure As A Service (IaaS), Prompt Patterns, Network Routing, Virtual Private Networks (VPN), Dashboard Creation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    50K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Production-Ready Multimodal ML Engineering

    Skills you'll gain: MLOps (Machine Learning Operations), Data Validation, Model Deployment, Test Driven Development (TDD), Apache Airflow, Data Pipelines, Containerization, Extract, Transform, Load, Kubernetes, Model Training, Data Integrity, Model Optimization, Cloud-Native Computing, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Software, Artificial Intelligence, Artificial Neural Networks, Machine Learning Algorithms, Natural Language Processing, Algorithms

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Introduction to Generative AI

    Skills you'll gain: Generative AI, Google Gemini, AI literacy, Google Cloud Platform, Artificial Intelligence, Machine Learning Methods, Deep Learning, Large Language Modeling

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Generative Deep Learning with TensorFlow

    Skills you'll gain: Generative Adversarial Networks (GANs), Autoencoders, Generative AI, Tensorflow, Generative Model Architectures, Model Training, Image Analysis, Transfer Learning, Deep Learning, Convolutional Neural Networks, Artificial Neural Networks, Data Synthesis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    315 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Optimizing AI Workflows and Deploying Edge Models

    Skills you'll gain: Model Optimization, PyTorch (Machine Learning Library), Model Evaluation, Model Deployment, MLOps (Machine Learning Operations), Model Training, AI Workflows, Tensorflow, Dataflow, Performance Tuning, Deep Learning, Dashboard, Data Pipelines, Grafana, Artificial Neural Networks, Data Processing, Resource Utilization, Performance Analysis, Performance Metric, Data Manipulation

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Data Scientists

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Generative Model Architectures, Exploratory Data Analysis, Generative Adversarial Networks (GANs), Data Ethics, Feature Engineering, AI literacy, Predictive Modeling, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Data Synthesis, Data Analysis, Data Visualization Software, Augmented and Virtual Reality (AR/VR), Autoencoders, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    J

    John Wiley & Sons

    Data Processing, Machine Learning, and Model Evaluation

    Skills you'll gain: Data Preprocessing, Model Evaluation, Data Processing, Model Deployment, Data Transformation, MLOps (Machine Learning Operations), Unsupervised Learning, Data Cleansing, Predictive Modeling, Model Training, Data Science, Data Analysis, Applied Machine Learning, Model Optimization, Technical Communication, Supervised Learning, Machine Learning, Artificial Neural Networks

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Machine Learning Foundations for Product Managers

    Skills you'll gain: Deep Learning, Model Evaluation, Unsupervised Learning, Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Artificial Neural Networks, Decision Tree Learning, Model Training, Computer Vision, Logistic Regression, Supervised Learning, Machine Learning Algorithms, Natural Language Processing, Data Science, Predictive Analytics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    804 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    MathWorks Computer Vision Engineer

    Skills you'll gain: Computer Vision, Model Evaluation, Image Analysis, Model Deployment, Anomaly Detection, Convolutional Neural Networks, Transfer Learning, Model Training, Fine-tuning, Deep Learning, Machine Learning Methods, Image Quality, Generative AI, Data Preprocessing, Artificial Neural Networks, Matlab, Applied Machine Learning, Machine Learning, Classification Algorithms, Software Visualization

    4.7
    Rating, 4.7 out of 5 stars
    ·
    367 reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    M

    Microsoft

    Microsoft Cybersecurity Analyst

    Skills you'll gain: Azure Active Directory, MITRE ATT&CK Framework, Intrusion Detection and Prevention, Threat Modeling, Vulnerability Management, Zero Trust Network Access, Network Security, Distributed Denial-Of-Service (DDoS) Attacks, Security Information and Event Management (SIEM), Record Keeping, Authentications, Encryption, Penetration Testing, Secure Coding, Regulatory Requirements, Cloud Computing, Active Directory, Operating Systems, Cybersecurity, Computer Security Incident Management

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Preview
    Preview
    S

    Stanford University

    Cryptography I

    Skills you'll gain: Cryptography, Data Encryption Standard, Cryptographic Protocols, Encryption, Key Management, Advanced Encryption Standard (AES), Public Key Cryptography Standards (PKCS), Cybersecurity, Application Security, Authentications, Data Integrity, Algorithms, Arithmetic, Probability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    4.5K reviews

    Mixed · Course · 1 - 3 Months

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

  • Play It Safe: Manage Security Risks: Google
  • Preparing for Google Cloud Certification: Cloud Network Engr: Google Cloud
  • Production-Ready Multimodal ML Engineering: Coursera
  • Introduction to Generative AI : Google Cloud
  • Generative Deep Learning with TensorFlow: DeepLearning.AI
  • Optimizing AI Workflows and Deploying Edge Models: Coursera
  • Generative AI for Data Scientists: IBM
  • Data Processing, Machine Learning, and Model Evaluation: John Wiley & Sons
  • Machine Learning Foundations for Product Managers: Duke University
  • MathWorks Computer Vision Engineer: MathWorks

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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