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Explore the PyTorch Course Catalog
- Status: Free Trial
Skills you'll gain: Unsupervised Learning, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Exploratory Data Analysis, Deep Learning, Microsoft Azure, Data Visualization, Applied Machine Learning, Regression Analysis, Predictive Modeling, Jupyter, Artificial Intelligence and Machine Learning (AI/ML), Classification And Regression Tree (CART), Data Science, MLOps (Machine Learning Operations), Machine Learning, Tensorflow, Artificial Neural Networks
Skills you'll gain: Apache Spark, PySpark, Applied Machine Learning, Big Data, Machine Learning Methods, Data Storage, Data Pipelines, Machine Learning Algorithms, Distributed Computing, Data Processing, Exploratory Data Analysis, Statistical Analysis
Coursera Project Network
Skills you'll gain: OpenAI, Large Language Modeling, Real Time Data, Data Manipulation, Generative AI, Python Programming, Artificial Intelligence, Performance Analysis, Customer Analysis, Business Analysis, Data Analysis, JSON
University of Glasgow
Skills you'll gain: Large Language Modeling, ChatGPT, Generative AI, Natural Language Processing, PyTorch (Machine Learning Library), Risk Management Framework, Prompt Engineering, Tensorflow, Data Ethics, Deep Learning, Artificial Neural Networks, Artificial Intelligence
- Status: Free Trial
DeepLearning.AI
Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Artificial Neural Networks, Applied Machine Learning, Data Ethics, Computer Vision, Artificial Intelligence, Unsupervised Learning
Coursera Project Network
Skills you'll gain: Prompt Engineering, Generative AI, Data Visualization Software, OpenAI, Matplotlib, Data Analysis, Pandas (Python Package), Python Programming, Data Manipulation, Natural Language Processing
- Status: Free
DeepLearning.AI
Skills you'll gain: Generative AI, Jupyter, PyTorch (Machine Learning Library), Image Analysis, Sampling (Statistics), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Algorithms
Skills you'll gain: Feature Engineering, Data Transformation, Data Processing, Data Cleansing, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Exploratory Data Analysis, Automation, Machine Learning Methods, Machine Learning, Scikit Learn (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Performance Tuning
- Status: Free Trial
Stanford University
Skills you'll gain: Bayesian Network, Applied Machine Learning, Machine Learning Algorithms, Markov Model, Machine Learning, Statistical Modeling, Network Analysis, Probability Distribution, Statistical Methods, Probability & Statistics, Algorithms
- Status: Free
Coursera Project Network
Skills you'll gain: Keras (Neural Network Library), Tensorflow, Deep Learning, Performance Tuning, Machine Learning Methods
Coursera Project Network
Skills you'll gain: Anomaly Detection, Jupyter, Exploratory Data Analysis, Application Deployment, Unsupervised Learning, Data Visualization, Predictive Modeling, Interactive Data Visualization, Applied Machine Learning, Machine Learning Software, Machine Learning Algorithms
- Status: NewStatus: Free Trial
Skills you'll gain: Natural Language Processing, Text Mining, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Applied Machine Learning, Deep Learning, Data Processing, Machine Learning Methods, Data Cleansing
In summary, here are 10 of our most popular pytorch courses
- Create Machine Learning Models in Microsoft Azure:Â Microsoft
- Scalable Machine Learning on Big Data using Apache Spark:Â IBM
- GenAI For Business Analysis: Fine-Tuning LLMs:Â Coursera Project Network
- Generative Pre-trained Transformers (GPT):Â University of Glasgow
- Build Basic Generative Adversarial Networks (GANs):Â DeepLearning.AI
- Data Visualization with OpenAI API: Generate code with GenAI:Â Coursera Project Network
- How Diffusion Models Work:Â DeepLearning.AI
- Machine Learning Rapid Prototyping with IBM Watson Studio:Â IBM
- Probabilistic Graphical Models 3: Learning:Â Stanford University
- Optimize TensorFlow Models For Deployment with TensorRT:Â Coursera Project Network