Results for "machine learning implementation and operations in aws"
Status: FreeAmazon Web Services
Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), AWS SageMaker, Amazon Web Services, Model Deployment, Machine Learning, Applied Machine Learning, Predictive Modeling
Status: Free TrialMultiple 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
Status: NewStatus: Free TrialSkills you'll gain: AWS SageMaker, Responsible AI, Artificial Intelligence, Machine Learning, Prompt Engineering, Amazon Web Services, Model Deployment, Supervised Learning, Computer Vision, Image Analysis, Model Evaluation, Unsupervised Learning, Data Preprocessing, Natural Language Processing, Deep Learning, Reinforcement Learning
Status: NewStatus: Free TrialSkills you'll gain: MLOps (Machine Learning Operations), Responsible AI, CI/CD, Model Deployment, Continuous Integration, Continuous Delivery, Continuous Deployment, Cloud Platforms, Model Evaluation, Automation, Data Governance, Performance Tuning, Continuous Monitoring, Performance Analysis, Scalability
Status: Free TrialDuke 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
Status: Free TrialSkills you'll gain: MLOps (Machine Learning Operations), AWS SageMaker, Amazon Web Services, Model Deployment, Scalability, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Technical Design, Amazon Elastic Compute Cloud, Cloud Security, Data Management, Disaster Recovery, Continuous Monitoring
What brings you to Coursera today?
Status: NewStatus: FreeAmazon Web Services
Skills you'll gain: Amazon Bedrock, Responsible AI, Generative AI, AI Security, Artificial Intelligence, Large Language Modeling, Amazon Web Services, Embeddings, Retrieval-Augmented Generation, Image Analysis
Status: Free TrialDuke University
Skills you'll gain: MLOps (Machine Learning Operations), Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Containerization, Tensorflow, Rust (Programming Language), Microsoft Copilot, DevOps, Hugging Face, Applied Machine Learning, Cloud Solutions, CI/CD, Machine Learning, Serverless Computing, Docker (Software), GitHub, Big Data
Status: FreeAmazon Web Services
Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Deep Learning, AI Enablement, Artificial Intelligence, Amazon Web Services, Applied Machine Learning, Machine Learning, Digital Transformation
Status: NewStatus: PreviewSkills you'll gain: Model Deployment, Databricks, MLOps (Machine Learning Operations), Apache Spark, Applied Machine Learning, PySpark, Data Preprocessing, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Scikit Learn (Machine Learning Library), Feature Engineering, Application Deployment, Model Evaluation, Real Time Data, Exploratory Data Analysis, Engineering
Status: NewStatus: Free TrialSkills you'll gain: AWS Kinesis, Apache Kafka, Amazon Redshift, Data Lakes, Real Time Data, Data Management, Apache Hive, Apache Spark, Amazon S3, Data Pipelines, Data Processing, Big Data, Apache Hadoop, AWS Identity and Access Management (IAM), Query Languages, Serverless Computing, Scalability
Status: Free TrialJohns Hopkins University
Skills you'll gain: Computer Vision, Model Evaluation, PyTorch (Machine Learning Library), Supervised Learning, Unsupervised Learning, Image Analysis, Applied Machine Learning, Data Preprocessing, Dimensionality Reduction, Reinforcement Learning, Feature Engineering, Machine Learning Algorithms, Convolutional Neural Networks, Regression Analysis, Data Processing, Machine Learning, Data Mining, Data Cleansing, Deep Learning, Artificial Neural Networks
What brings you to Coursera today?
In summary, here are 10 of our most popular machine learning implementation and operations in aws courses
- Developing Machine Learning Solutions: Amazon Web Services
- Machine Learning: DeepLearning.AI
- Master AI & AWS Cloud Skills: Analyze, Build, Deploy: EDUCBA
- Automate, Validate, and Promote ML Models Safely: Coursera
- MLOps | Machine Learning Operations: Duke University
- Machine Learning Implementation and Operations in AWS: Whizlabs
- AWS AI Practitioner Power Hour: Amazon Web Services
- DevOps, DataOps, MLOps: Duke University
- Fundamentals of Machine Learning and Artificial Intelligence: Amazon Web Services
- Databricks Machine Learning Fundamentals: Coursera
