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Explore the PyTorch Course Catalog
Skills you'll gain: Matplotlib, Deep Learning, Linear Algebra, Artificial Neural Networks, NumPy, Image Analysis, Keras (Neural Network Library), Data Visualization Software, Seaborn, Pandas (Python Package), Tensorflow, Machine Learning, Applied Machine Learning, Computer Vision, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, PyTorch (Machine Learning Library), Jupyter, Python Programming
- Status: Free
Coursera Project Network
Skills you'll gain: OpenAI, Real Time Data, Data Manipulation, Generative AI, Python Programming, Artificial Intelligence, Customer Analysis, Performance Metric, Business Analysis, Data Analysis, JSON
Skills you'll gain: Microsoft Azure, MLOps (Machine Learning Operations), Databricks, Cloud Computing, Applied Machine Learning, Data Ethics, Data Pipelines, Machine Learning, Information Privacy, Tensorflow, Performance Tuning
Google Cloud
Skills you'll gain: Apache Airflow, MLOps (Machine Learning Operations), Tensorflow, Google Cloud Platform, Data Pipelines, Kubernetes, Continuous Deployment, PyTorch (Machine Learning Library), Continuous Integration, Metadata Management, Machine Learning, Containerization, Automation
Skills you'll gain: PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Computer Vision, Artificial Neural Networks, Data Processing, Debugging, Machine Learning Methods, Performance Tuning, Regression Analysis
Skills you'll gain: Tensorflow, Google Cloud Platform, Scripting, Artificial Neural Networks, Machine Learning, Supervised Learning, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Development Environment
- Status: Free
Skills you'll gain: Apache Spark, Machine Learning Methods, Machine Learning Algorithms, Machine Learning, Generative AI, PySpark, Applied Machine Learning, Supervised Learning, Apache Hadoop, Data Pipelines, Unsupervised Learning, Feature Engineering, Data Processing, Extract, Transform, Load, Predictive Modeling, Data Transformation, Regression Analysis
University of Pennsylvania
Skills you'll gain: Statistical Machine Learning, PyTorch (Machine Learning Library), Statistical Methods, Probability, Probability & Statistics, Sampling (Statistics), Deep Learning, Probability Distribution, Python Programming, Statistical Modeling, Supervised Learning, Statistics, Machine Learning, Data Processing, Artificial Intelligence, Artificial Neural Networks, Algorithms, Theoretical Computer Science, Artificial Intelligence and Machine Learning (AI/ML), Computational Thinking
Skills you'll gain: Generative AI, OpenAI, IBM Cloud, Tensorflow, Artificial Intelligence, Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Natural Language Processing, Machine Learning, Open Source Technology
Skills you'll gain: Generative AI, Web Applications, IBM Cloud, Python Programming, OpenAI, Serverless Computing, Cloud Applications, Front-End Web Development, Application Development, Artificial Intelligence, Natural Language Processing, Back-End Web Development
Skills you'll gain: Generative AI, Natural Language Processing, PyTorch (Machine Learning Library), Artificial Neural Networks, Deep Learning, Text Mining, Feature Engineering, Machine Learning Methods
Skills you'll gain: Generative AI, Computer Vision, Image Analysis, OpenAI, Software Development Tools, GitHub, Artificial Intelligence, Application Development, Natural Language Processing, Creative Design
In summary, here are 10 of our most popular pytorch courses
- Deep Learning with Real-World Projects: Packt
- GenAI For Business Analysis: Fine-Tuning LLMs: Coursera Project Network
- Build and Operate Machine Learning Solutions with Azure: Microsoft
- ML Pipelines on Google Cloud: Google Cloud
- Mastering Image Segmentation with PyTorch: Packt
- Learning TensorFlow: the Hello World of Machine Learning: Google Cloud
- Machine Learning with Apache Spark: IBM
- AI and Machine Learning Essentials with Python: University of Pennsylvania
- Generative AI: Foundation Models and Platforms: IBM
- Building Generative AI-Powered Applications with Python: IBM