Results for "machine+learning+engineering+for+production"
Skills you'll gain: Feature Engineering, Model Evaluation, Model Deployment, Fine-tuning, Data Preprocessing, Model Training, Deep Learning, Machine Learning Methods, Model Optimization, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Scalability, Hugging Face, Docker (Software), Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Application Deployment, Software Development, Machine Learning
Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Regression Testing, Kubernetes, Docker (Software), Feature Engineering, Containerization, Software Documentation, Data Pipelines, Git (Version Control System), Apache Airflow, Technical Documentation, Microservices, CI/CD, Unit Testing, API Design, Performance Metric, Python Programming, Version Control, Verification And Validation
DeepLearning.AI
Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Application Deployment, Model Training, Continuous Deployment, Model Evaluation, Data Preprocessing, Model Optimization, Machine Learning, Applied Machine Learning, Data Validation, Data Integrity, Data Maintenance, Data Quality, Data Synthesis, Data Collection, System Monitoring, Continuous Monitoring, Unstructured Data
Skills you'll gain: Model Training, Fine-tuning, Model Evaluation, Model Optimization, Machine Learning Methods, Predictive Modeling, Tensorflow, Statistical Machine Learning, Machine Learning Software, MLOps (Machine Learning Operations), Computer Vision, Performance Testing, Transfer Learning, Feature Engineering, Scikit Learn (Machine Learning Library), Verification And Validation, Network Architecture, Deep Learning, Benchmarking, PyTorch (Machine Learning Library)
Saïd Business School, University of Oxford
Skills you'll gain: Intellectual Property, Media Production, Responsible AI, Regulation and Legal Compliance, Large Language Modeling, Legal Risk, AI Product Strategy, Data Ethics, Media Strategy, Journalism, AI literacy, Artificial Intelligence, Digital Content, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Innovation, Business Strategy, Digital Transformation, Digital Advertising, Algorithms
Skills 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, Forecasting, Metadata Management
What brings you to Coursera today?
Skills you'll gain: Model Evaluation, Model Deployment, Model Training, Model Optimization, Data Preprocessing, MLOps (Machine Learning Operations), Data Cleansing, Microservices, Data Pipelines, Feature Engineering, Data Quality, Containerization, Application Deployment, Service Level, Extract, Transform, Load, Data Transformation, System Monitoring, Machine Learning Methods, Performance Tuning, Machine Learning Algorithms
L&T EduTech
Skills you'll gain: Machine Learning Algorithms, Internet Of Things, Artificial Intelligence, Unsupervised Learning, Python Programming, Embedded Software, Computer Vision, Peripheral Devices, Integrated Development Environments, Deep Learning, Applied Machine Learning, Image Analysis, Machine Learning, Embedded Systems, Civil Engineering, Classification Algorithms, Security Controls, Wireless Networks, Automation, Digital Transformation
Skills you'll gain: Unsupervised Learning, Exploratory Data Analysis, Feature Engineering, Dimensionality Reduction, Supervised Learning, Classification Algorithms, Regression Analysis, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Statistical Methods, Data Preprocessing, Applied Machine Learning, Model Evaluation, Statistical Inference, Predictive Modeling, Machine Learning Methods, Statistical Hypothesis Testing, Model Training, Data Processing, Machine Learning
L&T EduTech
Skills you'll gain: Product Lifecycle Management, Embedded Systems, Embedded Software, Automation Engineering, Machine Controls, Manufacturing and Production, Manufacturing Processes, Product Engineering, Robotic Process Automation, Control Systems, Computer-Aided Design, Manufacturing Operations, Automation, Internet Of Things, Production Process, Robotics, Cyber Engineering, Digital Transformation, Business Process Automation, C (Programming Language)
Duke University
Skills you'll gain: Deep Learning, MLOps (Machine Learning Operations), Responsible AI, Model Evaluation, Data Ethics, Data Management, Experience Design, Unsupervised Learning, Model Training, User Experience Design, Data Quality, Model Deployment, Data Preprocessing, Human Centered Design, Machine Learning, Regression Analysis, Project Management, Product Management, Product Design, Data Science
Duke 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
In summary, here are 10 of our most popular machine+learning+engineering+for+production courses
- Machine Learning and Deep Learning for Software Engineers: Board Infinity
- Gradient to Production: MLOps & Model Serving: Coursera
- Machine Learning in Production: DeepLearning.AI
- Train, Tune, & Ship: End-to-End Machine Learning Engineering: Coursera
- AI and Production: Saïd Business School, University of Oxford
- Machine Learning Operations (MLOps) on Google Cloud: Google Cloud
- Machine Learning Made Easy for Software Engineers: Coursera
- Intelligent Digital Factories: L&T EduTech
- IBM Introduction to Machine Learning: IBM
- Digital Technology in Manufacturing: L&T EduTech
