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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


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    Pragmatic AI Labs

    Machine Learning with Databricks and MLflow

    Skills you'll gain: MLOps (Machine Learning Operations), Databricks, Apache Spark, Model Evaluation, Hugging Face, Data Architecture, Recurrent Neural Networks (RNNs), LLM Application, Data Science, Data Mining, Mathematical Modeling, Scala Programming, Continuous Monitoring, Rust (Programming Language), Lean Six Sigma, Statistical Inference, Artificial Intelligence, Functional Testing, Exploratory Data Analysis, Programming Principles

    Intermediate · Course · 1 - 4 Weeks

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    Stanford University

    Game Theory

    Skills you'll gain: Game Theory, Mathematical Modeling, Graph Theory, Bayesian Statistics, Behavioral Economics, Probability, Economics, Problem Solving, Algorithms, Probability Distribution

    4.6
    Rating, 4.6 out of 5 stars
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    4.9K reviews

    Beginner · Course · 1 - 3 Months

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    Google

    Sound the Alarm: Detection and Response

    Skills you'll gain: Intrusion Detection and Prevention, Incident Response, Computer Security Incident Management, Threat Detection, Event Monitoring, Security Information and Event Management (SIEM), Incident Management, Security Management, Continuous Monitoring, Network Security, Network Monitoring, Splunk, Network Analysis, TCP/IP, Network Protocols, Query Languages

    4.8
    Rating, 4.8 out of 5 stars
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    3.3K reviews

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    Eyes on AI - Computer Vision Engineering

    Skills you'll gain: Model Evaluation, Transfer Learning, PyTorch (Machine Learning Library), Model Deployment, Data Preprocessing, Technical Communication, MLOps (Machine Learning Operations), Image Analysis, Computer Vision, AI Workflows, Convolutional Neural Networks, Verification And Validation, Tensorflow, Dataflow, Performance Tuning, Performance Metric, Data Analysis, Deep Learning, Exploratory Data Analysis, Process Optimization

    Intermediate · Professional Certificate · 3 - 6 Months

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    University of Washington

    Machine Learning Foundations: A Case Study Approach

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Feature Engineering, Regression Analysis, Machine Learning, Image Analysis, Supervised Learning, Artificial Intelligence, Data Preprocessing, Deep Learning, Computer Vision, Application Development, Predictive Modeling, Unsupervised Learning, Natural Language Processing, Text Mining, Python Programming, Classification Algorithms

    4.6
    Rating, 4.6 out of 5 stars
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    14K reviews

    Mixed · Course · 1 - 3 Months

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    Coursera

    Vector DB Foundations, Embeddings & Search Algorithms

    Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, Image Analysis, LLM Application, Applied Machine Learning, Data Flow Diagrams (DFDs), Embeddings, Docker (Software), Prompt Engineering, Generative AI, Context Management, Large Language Modeling, Simulations, Data-oriented programming, Artificial Neural Networks, Data Ethics, Data Import/Export, Data Pipelines, Python Programming, Plot (Graphics)

    Intermediate · Specialization · 3 - 6 Months

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    Google

    Automate Cybersecurity Tasks with Python

    Skills you'll gain: Debugging, Python Programming, Cybersecurity, Scripting, Programming Principles, IT Automation, Algorithms, Automation, Computer Programming, File Management, Data Structures

    4.8
    Rating, 4.8 out of 5 stars
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    3.5K reviews

    Beginner · Course · 1 - 4 Weeks

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    Google Cloud

    Build, Train and Deploy ML Models with Keras on Google Cloud

    Skills you'll gain: Model Deployment, Tensorflow, Keras (Neural Network Library), Cloud Deployment, Google Cloud Platform, Data Pipelines, MLOps (Machine Learning Operations), Deep Learning, Data Preprocessing, Model Evaluation, Artificial Neural Networks, Feature Engineering, Machine Learning, Python Programming, Data Transformation

    4.4
    Rating, 4.4 out of 5 stars
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    2.8K reviews

    Intermediate · Course · 1 - 3 Months

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    Stanford University

    Cryptography I

    Skills you'll gain: Cryptography, Data Encryption Standard, Encryption, Key Management, Advanced Encryption Standard (AES), Public Key Cryptography Standards (PKCS), Cybersecurity, Authentications, Data Integrity, Secure Coding, Algorithms, Computational Thinking

    4.8
    Rating, 4.8 out of 5 stars
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    4.5K reviews

    Mixed · Course · 1 - 3 Months

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    Google

    Put It to Work: Prepare for Cybersecurity Jobs

    Skills you'll gain: Incident Response, Computer Security Incident Management, Incident Management, Cybersecurity, Cyber Threat Intelligence, Security Management, Cyber Security Policies, Security Awareness, Data Ethics, Data Security, Personally Identifiable Information, AI Security, Technical Communication, Artificial Intelligence

    4.8
    Rating, 4.8 out of 5 stars
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    6.3K reviews

    Beginner · Course · 1 - 3 Months

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    MathWorks

    MathWorks Computer Vision Engineer

    Skills you'll gain: Model Evaluation, Computer Vision, Image Analysis, Model Deployment, Anomaly Detection, Convolutional Neural Networks, Transfer Learning, Deep Learning, Image Quality, Artificial Neural Networks, Matlab, Applied Machine Learning, PyTorch (Machine Learning Library), Machine Learning Methods, Data Preprocessing, Classification Algorithms, Traffic Flow Optimization, Data Visualization, Automation, Digital Signal Processing

    4.7
    Rating, 4.7 out of 5 stars
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    362 reviews

    Beginner · Professional Certificate · 3 - 6 Months

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    Coursera

    Building Vision and NLP Workflows with TensorFlow pipelines

    Skills you'll gain: Model Evaluation, Computer Vision, Vision Transformer (ViT), Tensorflow, Keras (Neural Network Library), Embeddings, Deep Learning, Natural Language Processing, Model Deployment, Transfer Learning, Data Pipelines, Risk Modeling, Performance Tuning

    Intermediate · Course · 1 - 3 Months

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

  • Machine Learning with Databricks and MLflow: Pragmatic AI Labs
  • Game Theory: Stanford University
  • Sound the Alarm: Detection and Response: Google
  • Eyes on AI - Computer Vision Engineering: Coursera
  • Machine Learning Foundations: A Case Study Approach: University of Washington
  • Vector DB Foundations, Embeddings & Search Algorithms: Coursera
  • Automate Cybersecurity Tasks with Python: Google
  • Build, Train and Deploy ML Models with Keras on Google Cloud: Google Cloud
  • Cryptography I: Stanford University
  • Put It to Work: Prepare for Cybersecurity Jobs: Google

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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