All Results

Duke University
Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Microsoft Azure, Model Deployment, Exploratory Data Analysis, Data Pipelines, Model Training, Amazon Web Services, Feature Engineering, Model Evaluation, Data Preprocessing, Cloud Deployment, Data Analysis, Applied Machine Learning, Machine Learning Methods, Serverless Computing, Machine Learning, Python Programming

Skills you'll gain: Responsible AI, Microsoft Azure, Data Ethics, Natural Language Processing, Image Analysis, Generative AI, Artificial Intelligence, Cloud Solutions, Large Language Modeling, AI Security, Computer Vision, OpenAI, OpenAI API, LLM Application, AI Integrations, Model Deployment, Key Management, Python Programming, Model Evaluation

Skills you'll gain: Natural Language Processing, Microsoft Azure, Computer Vision, No-Code Development, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Predictive Modeling, Artificial Intelligence, AI literacy, Responsible AI

Skills you'll gain: Application Deployment, Data Maintenance, Network Architecture, Cloud Infrastructure, Data Storage, Network Infrastructure, Scalability, Issue Tracking, Public Cloud, General Networking, Network Monitoring, Data Security, Serverless Computing, Network Planning And Design, Network Security, Authentications, Infrastructure Security, Authorization (Computing), Data Loss Prevention, Remote Access Systems

Microsoft
Skills you'll gain: Responsible AI, MLOps (Machine Learning Operations), Azure DevOps Pipelines, Azure DevOps, Generative AI, Microsoft Azure, Model Deployment, AI Workflows, Model Training, CI/CD, Version Control, Data Ethics, Model Evaluation, Continuous Integration, Git (Version Control System), Continuous Monitoring

Skills you'll gain: Microsoft Azure, MLOps (Machine Learning Operations), Data Science, Machine Learning, Prompt Engineering Tools, Model Evaluation, Applied Machine Learning, Data Store, AI Workflows, Apache Spark, Data Strategy, Data Import/Export, Azure Synapse Analytics, Cloud Computing, Fine-tuning, Data Pipelines, Continuous Monitoring, Data Preprocessing, Scalability, Development Environment
What brings you to Coursera today?

Skills you'll gain: MLOps (Machine Learning Operations), Data Preprocessing, AWS SageMaker, Model Evaluation, Model Deployment, Artificial Intelligence and Machine Learning (AI/ML), Amazon Web Services, Model Training, Predictive Modeling, Machine Learning Methods, Applied Machine Learning, Data Processing, Machine Learning, Supervised Learning, Machine Learning Algorithms, Unsupervised Learning, Classification Algorithms

Skills you'll gain: Statistical Modeling, Microsoft Azure, Statistical Methods, Data Processing, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, MLOps (Machine Learning Operations), Applied Machine Learning, Data Store, Apache Spark, Azure Synapse Analytics, Model Training, Cloud Computing, Data Preprocessing, Data Management, Model Deployment, Development Environment

Skills you'll gain: Model Deployment, AWS SageMaker, Amazon Bedrock, MLOps (Machine Learning Operations), Amazon Web Services, Cloud Deployment, Data Preprocessing, Model Evaluation, Amazon S3, Generative AI, Data Storage, Generative Model Architectures, Data Storage Technologies, Model Training, Feature Engineering, Exploratory Data Analysis, Applied Machine Learning, Machine Learning, Amazon Redshift, Cloud Engineering

Skills you'll gain: Azure DevOps Pipelines, CI/CD, Authorization (Computing), Package and Software Management, Infrastructure as Code (IaC), Continuous Delivery, Authentications, Application Deployment, Azure DevOps, Continuous Integration, Cloud Deployment, DevSecOps, DevOps, OAuth, Security Controls, GitHub, Continuous Deployment, Git (Version Control System), Agile Methodology, Performance Tuning

Skills you'll gain: Feature Engineering, MLOps (Machine Learning Operations), Model Optimization, Google Cloud Platform, Generative AI Agents, Model Deployment, Tensorflow, Model Training, Dataflow, Big Data, Keras (Neural Network Library), Machine Learning, Data Preprocessing, Prompt Engineering, Machine Learning Software, CI/CD, Machine Learning Methods, Generative AI, Model Evaluation, Cloud Computing

Microsoft
Skills you'll gain: Unsupervised Learning, Fine-tuning, Model Deployment, Generative AI, Large Language Modeling, Data Management, Generative Model Architectures, Natural Language Processing, MLOps (Machine Learning Operations), Supervised Learning, Microsoft Azure, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Generative Adversarial Networks (GANs), Infrastructure Architecture, LLM Application, Responsible AI, Data Infrastructure, Data Preprocessing, Model Optimization