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Deeplearning.AI Courses

Deeplearning.AI courses can help you learn how machine learning and artificial intelligence techniques are developed and applied across different tasks. You can build skills in neural networks, model evaluation, data preparation, and modern generative AI methods. Many courses introduce tools such as Python libraries, cloud environments, and frameworks that support experimenting with models and strengthening practical AI workflows.


More to explore:

Popular Deeplearning.AI Courses and Certifications


  • D

    DeepLearning.AI

    신경망 및 딥 러닝

    Skills you'll gain: Deep Learning, Artificial Neural Networks, Convolutional Neural Networks, Supervised Learning, Applied Machine Learning, Computer Vision, Recurrent Neural Networks (RNNs), Machine Learning, NumPy, Performance Tuning, Linear Algebra

    5
    Rating, 5 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    시퀀스 모델

    Skills you'll gain: Recurrent Neural Networks (RNNs), Natural Language Processing, Large Language Modeling, Deep Learning, Artificial Neural Networks, Embeddings, Transfer Learning, Hugging Face, Time Series Analysis and Forecasting

    Intermediate · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Custom Models, Layers, and Loss Functions with TensorFlow

    Skills you'll gain: Tensorflow, Transfer Learning, Deep Learning, Keras (Neural Network Library), Convolutional Neural Networks, Artificial Neural Networks, Model Evaluation

    4.9
    Rating, 4.9 out of 5 stars
    ·
    1.1K reviews

    Intermediate · Course · 1 - 3 Months

  • D

    DeepLearning.AI

    Custom and Distributed Training with TensorFlow

    Skills you'll gain: Tensorflow, Deep Learning, Keras (Neural Network Library), Distributed Computing, Performance Tuning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    438 reviews

    Intermediate · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Build Basic Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative Model Architectures, PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Convolutional Neural Networks, Responsible AI, Artificial Neural Networks, Data Ethics, Unsupervised Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Source Systems, Data Ingestion, and Pipelines

    Skills you'll gain: Apache Airflow, Data Pipelines, Dataflow, Data Integration, Infrastructure as Code (IaC), Terraform, Extract, Transform, Load, Amazon CloudWatch, IT Automation, Data Quality, Amazon Web Services, CI/CD, Data Processing, Data Transformation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    135 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Top AI Program
    Top AI Program
    D

    DeepLearning.AI

    Supervised Machine Learning: Regression and Classification

    Skills you'll gain: Supervised Learning, Jupyter, Scikit Learn (Machine Learning Library), Machine Learning, NumPy, Predictive Modeling, Classification Algorithms, Feature Engineering, Artificial Intelligence, Model Evaluation, Data Preprocessing, Python Programming, Logistic Regression, Regression Analysis, Unsupervised Learning

    4.9
    Rating, 4.9 out of 5 stars
    ·
    32K reviews

    Beginner · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Unsupervised Learning, Recommenders, Reinforcement Learning

    Skills you'll gain: Unsupervised Learning, Data Ethics, Machine Learning, Supervised Learning, Artificial Intelligence, Reinforcement Learning, Artificial Neural Networks, Deep Learning, Anomaly Detection, Dimensionality Reduction, Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    5.5K reviews

    Beginner · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    PyTorch: Techniques and Ecosystem Tools

    Skills you'll gain: Transfer Learning, Embeddings, Model Evaluation, Convolutional Neural Networks, Data Preprocessing, Model Deployment

    5
    Rating, 5 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Browser-based Models with TensorFlow.js

    Skills you'll gain: Image Analysis, Tensorflow, Transfer Learning, Convolutional Neural Networks, Computer Vision, JSON, Model Deployment, Applied Machine Learning, Javascript, Data Processing, Real Time Data, Web Applications, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1K reviews

    Intermediate · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    AI and Disaster Management

    Skills you'll gain: Disaster Recovery, Image Analysis, Data Ethics, Emergency Response, Mitigation, Text Mining, Natural Language Processing, Artificial Intelligence, Geospatial Mapping, Computer Vision, Spatial Data Analysis, Artificial Neural Networks, Convolutional Neural Networks, Model Evaluation, Data Preprocessing, Exploratory Data Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    319 reviews

    Beginner · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    AI for Medical Prognosis

    Skills you'll gain: Risk Modeling, Decision Tree Learning, Predictive Modeling, Feature Engineering, Applied Machine Learning, Random Forest Algorithm, Forecasting, Model Evaluation, Data Preprocessing, Logistic Regression, Machine Learning, Statistical Analysis, Probability & Statistics, Data Analysis, Deep Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    799 reviews

    Intermediate · Course · 1 - 4 Weeks

1…8910…17

In summary, here are 10 of our most popular deeplearning.ai courses

  • 신경망 및 딥 러닝: DeepLearning.AI
  • 시퀀스 모델: DeepLearning.AI
  • Custom Models, Layers, and Loss Functions with TensorFlow: DeepLearning.AI
  • Custom and Distributed Training with TensorFlow: DeepLearning.AI
  • Build Basic Generative Adversarial Networks (GANs): DeepLearning.AI
  • Source Systems, Data Ingestion, and Pipelines: DeepLearning.AI
  • Supervised Machine Learning: Regression and Classification : DeepLearning.AI
  • Unsupervised Learning, Recommenders, Reinforcement Learning: DeepLearning.AI
  • PyTorch: Techniques and Ecosystem Tools: DeepLearning.AI
  • Browser-based Models with TensorFlow.js: DeepLearning.AI

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