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Status: Free TrialSkills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Model Evaluation, Model Training, DevOps, Continuous Deployment, CI/CD, AI Workflows, Automation
Status: Free TrialDuke University
Skills you'll gain: Fine-tuning, MLOps (Machine Learning Operations), Model Deployment, Cloud Deployment, Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Hugging Face, GitHub Copilot, Unit Testing, Responsible AI, DevOps, Cloud Computing, Python Programming, Machine Learning, GitHub, Big Data, Data Management, Data Analysis
Status: Free TrialDuke University
Skills you'll gain: MLOps (Machine Learning Operations), GitHub Copilot, Responsible AI, Model Deployment, Containerization, Web Frameworks, Rust (Programming Language), AI Workflows, DevOps, Hugging Face, Applied Machine Learning, Cloud Solutions, Cloud-Native Computing, Machine Learning, Serverless Computing, Application Deployment, GitHub, Command-Line Interface, Big Data
Status: Free TrialDuke 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, Cloud Platforms, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Data Preprocessing, Cloud Deployment, Data Analysis, Applied Machine Learning, Machine Learning Methods, Serverless Computing, Machine Learning, Python Programming
Status: Free TrialSkills you'll gain: Model Optimization, Generative Model Architectures, Model Deployment, Azure DevOps Pipelines, Large Language Modeling, Model Training, Cloud Deployment, CI/CD, Fine-tuning
Status: NewStatus: Free TrialSkills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Model Deployment, AI Orchestration, AI Workflows, Generative AI, Google Cloud Platform, Data Modeling, Continuous Monitoring, Data Pipelines, Model Training, Feature Engineering, Model Optimization, DevOps, Agentic Workflows, Generative AI Agents, Data Store, Continuous Deployment, Data Preprocessing, Forecasting
What brings you to Coursera today?
Status: Free TrialDuke University
Skills you'll gain: MLOps (Machine Learning Operations), Continuous Delivery, Applied Machine Learning, Cloud Engineering, Google Cloud Platform, Model Deployment, Cloud Applications, Cloud Development, Cloud API, Cloud Deployment, Artificial Intelligence, Machine Learning, Microsoft Azure, AI Workflows, Software Engineering, Computer Vision, Application Programming Interface (API), Natural Language Processing, Flask (Web Framework)
Status: Free TrialSkills you'll gain: Quantum computing, Algorithms, Computer Hardware, IBM Cloud, Cryptography, Python Programming, Computer Programming, Software Documentation, Simulations

Skills you'll gain: Model Deployment, Application Deployment, Data Preprocessing, Devops Tools, Model Training, Machine Learning Software, Data Processing, Model Optimization, Model Evaluation
Status: NewSkills you'll gain: Reinforcement Learning, Deep Learning, Model Training, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Tensorflow, Machine Learning, Quantum computing, Machine Learning Algorithms, Artificial Intelligence, Model Optimization, Artificial Neural Networks, Algorithms, Python Programming
Status: NewStatus: Free TrialSkills you'll gain: AI Integrations, Infrastructure as Code (IaC), AI Personalization, Integrated Development Environments, Command-Line Interface, Shell Script, AI Workflows, AWS CloudFormation, Bash (Scripting Language), Prompt Engineering, Generative AI Agents, Terraform, Open Source Technology, AI Security, Computer Programming, Generative AI, Artificial Intelligence, Systems Administration
Status: NewStatus: Free TrialSkills you'll gain: MLOps (Machine Learning Operations), Containerization, AI Workflows, Model Deployment, Generative AI Agents, LangGraph, Agentic Workflows, Artificial Intelligence and Machine Learning (AI/ML), CrewAI, Devops Tools, BeeAI, Docker (Software), Cloud Deployment, Agentic systems, Google Cloud Platform, Cloud Platforms, Kubernetes, Applied Machine Learning, Scalability