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Deep Learning Courses

Deep learning courses can help you learn neural networks, convolutional networks, and recurrent networks, along with their applications in image recognition and natural language processing. You can build skills in model training, hyperparameter tuning, and performance evaluation, which are crucial for developing effective AI solutions. Many courses introduce tools like TensorFlow and PyTorch, allowing you to implement algorithms and optimize models, making your learning experience hands-on and relevant to current industry practices.


Popular Deep Learning Courses and Certifications


  • Status: Free Trial
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    Packt

    Recommender Systems: An Applied Approach using Deep Learning

    Skills you'll gain: Model Evaluation, Deep Learning, Data Preprocessing, Data Manipulation, Applied Machine Learning, Model Deployment, Artificial Neural Networks, Embeddings, Matplotlib

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Mining Quality Prediction Using Machine & Deep Learning

    Skills you'll gain: Regression Analysis, Exploratory Data Analysis, Model Evaluation, Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Machine Learning, Data Preprocessing, Deep Learning, Statistical Analysis, Data Analysis, Artificial Neural Networks, Data Import/Export, Matplotlib, Python Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    69 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • P

    Packt

    Advanced Chatbots with Deep Learning and Python

    Skills you'll gain: Large Language Modeling, Deep Learning, Data Preprocessing, Keras (Neural Network Library), Tensorflow, Python Programming, Artificial Intelligence and Machine Learning (AI/ML), Generative Model Architectures, Natural Language Processing

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
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    University of Glasgow

    Explainable deep learning models for healthcare - CDSS 3

    Skills you'll gain: Autoencoders, Model Evaluation, Deep Learning, Healthcare 5.0, Recurrent Neural Networks (RNNs), Applied Machine Learning, Time Series Analysis and Forecasting, Machine Learning, Convolutional Neural Networks, Responsible AI, Electocardiography, Artificial Neural Networks

    4.6
    Rating, 4.6 out of 5 stars
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    15 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    Google Cloud

    Preparing for Google Cloud Certification: Machine Learning Engineer

    Skills you'll gain: Feature Engineering, MLOps (Machine Learning Operations), Responsible AI, Generative AI, Google Cloud Platform, Model Deployment, Tensorflow, Big Data, Keras (Neural Network Library), Data Preprocessing, Data Quality, Exploratory Data Analysis, Machine Learning, Applied Machine Learning, Data Migration, Apache Airflow, Model Evaluation, Data Lakes, Scikit Learn (Machine Learning Library), Cloud Computing

    4.4
    Rating, 4.4 out of 5 stars
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    4.9K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
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    IBM

    IBM Introduction to Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Unsupervised Learning, Supervised Learning, Classification Algorithms, Regression Analysis, Dimensionality Reduction, Statistical Methods, Data Preprocessing, Applied Machine Learning, Model Evaluation, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Access, Anomaly Detection, Logistic Regression, Scikit Learn (Machine Learning Library), Machine Learning, Machine Learning Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.3K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    U

    University of Pennsylvania

    AI and Machine Learning Essentials with Python

    Skills you'll gain: Statistical Machine Learning, Data Preprocessing, Model Evaluation, PyTorch (Machine Learning Library), Statistical Methods, Probability, Probability & Statistics, Sampling (Statistics), Logistic Regression, Deep Learning, Probability Distribution, Supervised Learning, Statistics, Machine Learning Methods, Machine Learning, Agentic systems, Artificial Intelligence, Artificial Neural Networks, Algorithms, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
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    42 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
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    I

    IBM

    Machine Learning Introduction for Everyone

    Skills you'll gain: Model Evaluation, Predictive Modeling, Machine Learning, Supervised Learning, Applied Machine Learning, Data Science, Artificial Intelligence, Deep Learning, Classification Algorithms, Unsupervised Learning, Regression Analysis, Reinforcement Learning

    4.6
    Rating, 4.6 out of 5 stars
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    300 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    Fundamentals of Reinforcement Learning

    Skills you'll gain: Reinforcement Learning, Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Markov Model, Algorithms, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
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    2.9K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    Deep Teaching Solutions

    Learning How to Learn: Powerful mental tools to help you master tough subjects

    Skills you'll gain: Learning Strategies, Time Management, Willingness To Learn, Productivity, Growth Mindedness, Mental Concentration, Creativity, Self-Discipline, Cognitive flexibility, Stress Management, Adaptability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    93K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Applied Machine Learning in Python

    Skills you'll gain: Feature Engineering, Model Evaluation, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Decision Tree Learning, Unsupervised Learning, Python Programming, Random Forest Algorithm, Regression Analysis, Classification Algorithms, Artificial Neural Networks

    4.6
    Rating, 4.6 out of 5 stars
    ·
    8.7K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Machine Learning with Python

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Model Evaluation, Regression Analysis, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Machine Learning, Dimensionality Reduction, Decision Tree Learning, Python Programming, Logistic Regression, Classification Algorithms, Feature Engineering

    4.7
    Rating, 4.7 out of 5 stars
    ·
    18K reviews

    Intermediate · Course · 1 - 3 Months

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1…91011…585

In summary, here are 10 of our most popular deep learning courses

  • Recommender Systems: An Applied Approach using Deep Learning: Packt
  • Mining Quality Prediction Using Machine & Deep Learning: Coursera
  • Advanced Chatbots with Deep Learning and Python: Packt
  • Explainable deep learning models for healthcare - CDSS 3: University of Glasgow
  • Preparing for Google Cloud Certification: Machine Learning Engineer: Google Cloud
  • IBM Introduction to Machine Learning: IBM
  • AI and Machine Learning Essentials with Python: University of Pennsylvania
  • Machine Learning Introduction for Everyone: IBM
  • Fundamentals of Reinforcement Learning: University of Alberta
  • Learning How to Learn: Powerful mental tools to help you master tough subjects: Deep Teaching Solutions

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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