Filter by
SubjectRequired
LanguageRequired
The language used throughout the course, in both instruction and assessments.
Learning ProductRequired
LevelRequired
DurationRequired
SkillsRequired
SubtitlesRequired
EducatorRequired
Results for "hands-on ml model development"
Skills you'll gain: Linux Commands, Bash (Scripting Language), Shell Script, File Management, Unix Shell, Linux, Unix Commands, Linux Servers, Command-Line Interface, Linux Administration, Scripting Languages, Unix, Operating Systems, Network Protocols, OS Process Management, Automation
DeepLearning.AI
Skills you'll gain: MLOps (Machine Learning Operations), Application Deployment, Continuous Deployment, Software Development Life Cycle, Machine Learning, Applied Machine Learning, Data Validation, Feature Engineering, Data Quality, Debugging, Continuous Monitoring, Data Pipelines
Microsoft
Skills you'll gain: Unsupervised Learning, Generative AI, Data Management, Natural Language Processing, MLOps (Machine Learning Operations), Supervised Learning, Microsoft Azure, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, Data Infrastructure, Applied Machine Learning, Reinforcement Learning, Data Ethics, Artificial Intelligence, Test Case, OpenAI, Human Computer Interaction, Performance Testing, Application Deployment
Duke University
Skills you'll gain: MLOps (Machine Learning Operations), Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Unit Testing, Data Ethics, Application Deployment, Data Manipulation, Exploratory Data Analysis, Containerization, Data Pipelines, CI/CD, Software Testing, Data Import/Export, Amazon Web Services, Feature Engineering, Artificial Intelligence and Machine Learning (AI/ML), Docker (Software), Rust (Programming Language)
Skills you'll gain: Jupyter, Automation, Web Scraping, Python Programming, Data Manipulation, Data Import/Export, Scripting, Data Structures, Data Processing, Data Collection, Application Programming Interface (API), Pandas (Python Package), Programming Principles, NumPy, Object Oriented Programming (OOP), Computer Programming
Skills you'll gain: Software Development Life Cycle, Development Environment, Software Engineering, Software Architecture, Software Design, Programming Principles, Unified Modeling Language, Agile Methodology, Software Development, Scrum (Software Development), Web Development, Cloud Development, Integrated Development Environments, Application Development, Back-End Web Development, Front-End Web Development, Computer Programming, Python Programming
Skills you'll gain: Artificial Intelligence, Generative AI, Data Ethics, OpenAI, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Artificial Neural Networks, ChatGPT, Governance, Machine Learning, Business Transformation, Ethical Standards And Conduct, Computer Vision, Emerging Technologies, Natural Language Processing
- Status: [object Object]
Skills you'll gain: Istio, Node.JS, Software Development Life Cycle, Unit Testing, Cloud Computing Architecture, Server Side, Application Deployment, Kubernetes, React Redux, Cloud Services, Django (Web Framework), Object-Relational Mapping, OpenShift, Git (Version Control System), Full-Stack Web Development, HTML and CSS, Cloud Computing, Jupyter, Generative AI, Interviewing Skills
Skills you'll gain: Supervised Learning, Feature Engineering, Jupyter, Unsupervised Learning, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Python Programming, Applied Machine Learning, Statistical Machine Learning, Predictive Modeling, Machine Learning, Dimensionality Reduction, Classification And Regression Tree (CART), Matplotlib, Regression Analysis, Random Forest Algorithm, Statistical Modeling, Data Manipulation
Coursera Project Network
Skills you'll gain: Applied Machine Learning, Classification And Regression Tree (CART), Predictive Modeling, Microsoft Azure, Machine Learning, Predictive Analytics, Feature Engineering, Data Processing, Data Cleansing, Application Deployment, Exploratory Data Analysis
Multiple educators
Skills you'll gain: Unsupervised Learning, Supervised Learning, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Jupyter, Data Ethics, Decision Tree Learning, Tensorflow, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Reinforcement Learning, Random Forest Algorithm, Feature Engineering, Artificial Neural Networks
Skills you'll gain: Agile Software Development, Agile Methodology, Kanban Principles, Agile Project Management, User Story, Sprint Retrospectives, Sprint Planning, Workflow Management, Performance Metric, Backlogs, Team Building, GitHub, Lean Methodologies, Plan Execution, Continuous Improvement Process, Estimation
In summary, here are 10 of our most popular hands-on ml model development courses
- Hands-on Introduction to Linux Commands and Shell Scripting: IBM
- Machine Learning in Production: DeepLearning.AI
- Microsoft AI & ML Engineering: Microsoft
- MLOps | Machine Learning Operations: Duke University
- Python for Data Science, AI & Development: IBM
- Introduction to Software Engineering: IBM
- Introduction to Artificial Intelligence (AI): IBM
- IBM Full Stack Software Developer: IBM
- Machine Learning with Python: IBM
- Machine Learning Pipelines with Azure ML Studio: Coursera Project Network