Results for "machine learning platforms"
Duke University
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Cloud Deployment, Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Hugging Face, Responsible AI, Data Manipulation, Exploratory Data Analysis, Containerization, DevOps, Cloud Computing, Python Programming, Machine Learning, GitHub, Big Data, Data Management, Data Analysis
Google Cloud
Skills you'll gain: Feature Engineering, Generative AI, Model Deployment, Tensorflow, Google Cloud Platform, Keras (Neural Network Library), Machine Learning, Data Preprocessing, MLOps (Machine Learning Operations), Model Evaluation, Applied Machine Learning, Data Cleansing, Data Quality, AI Enablement, Prompt Engineering, Cloud Deployment, Supervised Learning, Scikit Learn (Machine Learning Library), AI Workflows, Cloud Computing
Skills you'll gain: MLOps (Machine Learning Operations), Containerization, AI Workflows, Model Deployment, Generative AI Agents, LangGraph, Artificial Intelligence and Machine Learning (AI/ML), CrewAI, BeeAI, Docker (Software), Agentic systems, Google Cloud Platform, AWS SageMaker, CI/CD, Cloud Platforms, DevOps, Azure DevOps Pipelines, Kubernetes, Applied Machine Learning, Scalability
Status: Trending in AISkills you'll gain: Generative AI, Model Evaluation, Supervised Learning, Generative Model Architectures, Recurrent Neural Networks (RNNs), Unsupervised Learning, Data Preprocessing, Large Language Modeling, Time Series Analysis and Forecasting, Exploratory Data Analysis, LLM Application, Applied Machine Learning, Generative Adversarial Networks (GANs), Retrieval-Augmented Generation, Data Collection, Machine Learning Algorithms, Convolutional Neural Networks, Model Deployment, Transfer Learning, Hugging Face
Skills you'll gain: Model Deployment, Databricks, MLOps (Machine Learning Operations), Feature Engineering, Apache Spark, Data Preprocessing, Applied Machine Learning, Data Lakes, Extract, Transform, Load, AI Workflows, Hugging Face, Data Pipelines, Data Processing, PySpark, Vector Databases, Artificial Intelligence and Machine Learning (AI/ML), Retrieval-Augmented Generation, Data Quality, Machine Learning, Artificial Intelligence
Coursera
Skills you'll gain: Model Deployment, Unit Testing, MLOps (Machine Learning Operations), Test Driven Development (TDD), Software Testing, Scalability, Dashboard, Feature Engineering, Continuous Integration, Kubernetes, Scikit Learn (Machine Learning Library), CI/CD, Performance Tuning, Tensorflow, Python Programming, Software Engineering, PyTorch (Machine Learning Library), Docker (Software), Containerization, Git (Version Control System)
What brings you to Coursera today?
Multiple educators
Skills you'll gain: Tensorflow, Keras (Neural Network Library), Machine Learning Methods, Model Evaluation, Machine Learning, Google Cloud Platform, Machine Learning Algorithms, Applied Machine Learning, Financial Trading, Reinforcement Learning, Recurrent Neural Networks (RNNs), Supervised Learning, Data Pipelines, Time Series Analysis and Forecasting, Statistical Machine Learning, Technical Analysis, Deep Learning, Securities Trading, Portfolio Management, Artificial Intelligence and Machine Learning (AI/ML)
Skills you'll gain: Feature Engineering, Decision Tree Learning, Supervised Learning, Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Random Forest Algorithm, Predictive Modeling, Model Evaluation, Bayesian Network, Python Programming, Statistical Modeling, Performance Tuning, Classification Algorithms
Status: Trending in AIMultiple educators
Skills you'll gain: Unsupervised Learning, Supervised Learning, Transfer Learning, Machine Learning, Jupyter, Applied Machine Learning, Data Ethics, Decision Tree Learning, Model Evaluation, Tensorflow, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Classification Algorithms, Reinforcement Learning, Random Forest Algorithm, Feature Engineering, Data Preprocessing
Skills you'll gain: Data Preprocessing, Model Deployment, Model Evaluation, Feature Engineering, Microsoft Azure, Applied Machine Learning, Machine Learning, Large Language Modeling, Data Cleansing, Supervised Learning, Data Transformation, Cloud Deployment, Data Ethics, CI/CD, Machine Learning Algorithms, Transfer Learning, Data Quality, Performance Tuning
Skills you'll gain: Model Evaluation, Data Preprocessing, JUnit, Build Tools, Java Programming, MLOps (Machine Learning Operations), Java, Performance Tuning, Decision Tree Learning, Classification And Regression Tree (CART), Apache Maven, Data Structures, Random Forest Algorithm, Gradle, Data Pipelines, Software Architecture, Software Design, Object Oriented Programming (OOP), Apache, Machine Learning
Google Cloud
Skills you'll gain: Model Deployment, Convolutional Neural Networks, Google Cloud Platform, Natural Language Processing, Tensorflow, MLOps (Machine Learning Operations), Reinforcement Learning, Transfer Learning, Computer Vision, Systems Design, Machine Learning Methods, Applied Machine Learning, Image Analysis, AI Personalization, Cloud Deployment, Recurrent Neural Networks (RNNs), Hybrid Cloud Computing, Systems Architecture, Performance Tuning, Embeddings
In summary, here are 10 of our most popular machine learning platforms courses
- MLOps | Machine Learning Operations:Â Duke University
- Machine Learning on Google Cloud:Â Google Cloud
- AI Agents and MLOps for Production-Ready AI:Â Packt
- Machine Learning with Scikit-learn, PyTorch & Hugging Face:Â Coursera
- Databricks ML in Action:Â Packt
- ML Production Systems:Â Coursera
- Machine Learning for Trading:Â New York Institute of Finance
- The Nuts and Bolts of Machine Learning:Â Google
- Machine Learning:Â DeepLearning.AI
- Azure ML Bootcamp: Machine Learning on the Cloud:Â Packt
