Filter by
SubjectRequired
LanguageRequired
The language used throughout the course, in both instruction and assessments.
Learning ProductRequired
LevelRequired
DurationRequired
SkillsRequired
SubtitlesRequired
EducatorRequired
Results for "machine learning implementation and operations in aws"
Skills you'll gain: MLOps (Machine Learning Operations), AWS SageMaker, Applied Machine Learning, Amazon Web Services, Scalability, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Application Deployment, Cloud Security, Disaster Recovery, Data Security
Multiple educators
Skills you'll gain: Unsupervised Learning, Supervised Learning, Machine Learning Methods, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Jupyter, Data Ethics, Decision Tree Learning, Tensorflow, Scikit Learn (Machine Learning Library), Artificial Intelligence, NumPy, Predictive Modeling, Deep Learning, Reinforcement Learning, Random Forest Algorithm, Feature Engineering
DeepLearning.AI
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Probability, Linear Algebra, Statistical Inference, Applied Mathematics, NumPy, Calculus, Dimensionality Reduction, Numerical Analysis, Mathematical Modeling, Machine Learning, Machine Learning Methods, Python Programming, Jupyter, Data Manipulation
Google Cloud
Skills you'll gain: Natural Language Processing, MLOps (Machine Learning Operations), Tensorflow, Large Language Modeling, Reinforcement Learning, Computer Vision, Google Cloud Platform, Keras (Neural Network Library), Systems Design, Image Analysis, Hybrid Cloud Computing, Applied Machine Learning, Systems Architecture, Performance Tuning, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Artificial Neural Networks, Machine Learning, Machine Learning Algorithms, Distributed Computing
Imperial College London
Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Probability & Statistics, Feature Engineering, Jupyter, Advanced Mathematics, Data Science, Statistics, Machine Learning Algorithms, Machine Learning Methods, Statistical Analysis, Artificial Neural Networks, Algorithms, Data Manipulation, Python Programming, Machine Learning
Duke University
Skills you'll gain: MLOps (Machine Learning Operations), Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Data Ethics, Application Deployment, Data Manipulation, Exploratory Data Analysis, Containerization, Data Pipelines, CI/CD, Software Testing, Data Import/Export, Amazon Web Services, Feature Engineering, Cloud Solutions, Artificial Intelligence and Machine Learning (AI/ML), Docker (Software), Rust (Programming Language)
- Status: AI skills
Skills you'll gain: Dashboard, Data Visualization Software, Data Wrangling, Data Visualization, SQL, Supervised Learning, Feature Engineering, Plotly, Interactive Data Visualization, Jupyter, Data Literacy, Exploratory Data Analysis, Data Mining, Data Cleansing, Matplotlib, Data Analysis, Unsupervised Learning, Generative AI, Pandas (Python Package), Professional Networking
Johns Hopkins University
Skills you'll gain: PyTorch (Machine Learning Library), Unsupervised Learning, Computer Vision, Machine Learning Algorithms, Applied Machine Learning, Image Analysis, Dimensionality Reduction, Supervised Learning, Reinforcement Learning, Feature Engineering, Regression Analysis, Data Cleansing, Machine Learning, Data Mining, Scikit Learn (Machine Learning Library), Statistical Machine Learning, Advanced Analytics, Deep Learning, Artificial Neural Networks, Decision Tree Learning
Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Unsupervised Learning, Supervised Learning, Generative AI, Dimensionality Reduction, Reinforcement Learning, Deep Learning, Data Analysis, Regression Analysis, Statistical Inference, Applied Machine Learning, Machine Learning Algorithms, Data Processing, Machine Learning, Statistical Analysis, Data Access, Anomaly Detection, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library)
Amazon Web Services
Skills you'll gain: AWS SageMaker, Artificial Intelligence and Machine Learning (AI/ML), Amazon Web Services, Natural Language Processing, Artificial Intelligence, Image Analysis, Computer Vision, Text Mining, Machine Learning, Data Processing
Skills you'll gain: Feature Engineering, Applied Machine Learning, Statistical Machine Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Unsupervised Learning, Data Ethics, Machine Learning, Machine Learning Algorithms, Supervised Learning, Random Forest Algorithm, Data Analysis, Performance Tuning, Python Programming
Skills you'll gain: Prompt Engineering, Large Language Modeling, PyTorch (Machine Learning Library), Supervised Learning, Feature Engineering, Generative AI, Keras (Neural Network Library), Deep Learning, Jupyter, Natural Language Processing, Reinforcement Learning, Unsupervised Learning, Generative AI Agents, Scikit Learn (Machine Learning Library), Image Analysis, Data Manipulation, Tensorflow, Python Programming, Verification And Validation, Artificial Neural Networks
In summary, here are 10 of our most popular machine learning implementation and operations in aws courses
- Machine Learning Implementation and Operations in AWS: Whizlabs
- Machine Learning: DeepLearning.AI
- Mathematics for Machine Learning and Data Science: DeepLearning.AI
- Advanced Machine Learning on Google Cloud: Google Cloud
- Mathematics for Machine Learning: Imperial College London
- MLOps | Machine Learning Operations: Duke University
- IBM Data Science: IBM
- Applied Machine Learning: Johns Hopkins University
- IBM Machine Learning: IBM
- Introduction to Machine Learning on AWS: Amazon Web Services