Find courses for specific tools and technologies across 1,762 AI and data science courses from top providers.
Build your Python programming foundation for AI, data science, and machine learning. Learn core Python, libraries, OOP, and scripting for automation and analysis.
Learn TensorFlow, Google's open-source machine learning framework. Build and train neural networks, deploy models, and use TensorFlow Extended for production ML pipelines.
Master PyTorch, the popular deep learning framework from Meta. Build dynamic neural networks, use torchvision for computer vision, and deploy models with TorchServe.
Master pandas and NumPy for data manipulation and analysis. Learn DataFrames, Series, array operations, data cleaning, and efficient numerical computing in Python.
Explore the Hugging Face ecosystem for NLP and generative AI. Use transformers, datasets, and model hub for text generation, classification, and fine-tuning.
Build deep learning models quickly with Keras, the high-level neural network API. Design sequential and functional models, tune hyperparameters, and deploy predictions.
Learn AWS machine learning services including SageMaker, Rekognition, Comprehend, and Bedrock. Build, train, and deploy ML models on Amazon Web Services.
Create compelling data visualizations with Tableau, matplotlib, seaborn, and Plotly. Build dashboards, charts, and interactive reports for AI insights.
Use scikit-learn for practical machine learning in Python. Covers classification, regression, clustering, preprocessing, model selection, and pipeline construction.
Master SQL for data analysis and data science. Write queries, aggregate data, join tables, use window functions, and work with databases for AI data pipelines.
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