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Results for "ml+deployment+challenges"
Google Cloud
Skills you'll gain: Data Quality, Exploratory Data Analysis, Machine Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Data Cleansing, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Google Cloud Platform, Machine Learning Algorithms, Data Analysis, Big Data, Regression Analysis, Data Processing, Sampling (Statistics), Performance Tuning
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
Duke University
Skills you'll gain: Databricks, Generative AI, Performance Analysis, Apache Airflow, Workflow Management, Data Lakes, Extract, Transform, Load, OpenAI, AWS SageMaker, Performance Tuning, Scalability, Data Transformation, Data Infrastructure, Microsoft Azure, MLOps (Machine Learning Operations), Amazon Web Services, Natural Language Processing, PyTorch (Machine Learning Library), Risk Management Framework, Artificial Intelligence
Google Cloud
Skills you'll gain: Generative AI, Google Cloud Platform, Artificial Intelligence, Natural Language Processing, Performance Tuning
Google Cloud
Skills you'll gain: Feature Engineering, Tensorflow, Keras (Neural Network Library), Data Quality, MLOps (Machine Learning Operations), Exploratory Data Analysis, Machine Learning, Applied Machine Learning, Google Cloud Platform, Scikit Learn (Machine Learning Library), Data Cleansing, Data Strategy, Artificial Intelligence and Machine Learning (AI/ML), Data Pipelines, Supervised Learning, Machine Learning Algorithms, Data Analysis, Data Management, Data Governance, Workflow Management
Skills you'll gain: Feature Engineering, MLOps (Machine Learning Operations), Google Cloud Platform, Generative AI, Tensorflow, Keras (Neural Network Library), Data Quality, Exploratory Data Analysis, Machine Learning, Applied Machine Learning, Apache Airflow, Scikit Learn (Machine Learning Library), Data Cleansing, Cloud Infrastructure, Artificial Intelligence and Machine Learning (AI/ML), Data Pipelines, Supervised Learning, Machine Learning Algorithms, Systems Design, Data Analysis
Skills you'll gain: Node.JS, Cloud Computing Architecture, Server Side, Cloud-Native Computing, React Redux, Cloud Services, NoSQL, MongoDB, React.js, Agile Methodology, Front-End Web Development, JavaScript Frameworks, Cloud Security, Hypertext Markup Language (HTML), HTML and CSS, Cloud Infrastructure, Restful API, Web Development, Web Development Tools, Back-End Web Development
Skills you'll gain: Serverless Computing, Digital Transformation, Cloud Services, Data Ethics, Cloud Infrastructure, Google Cloud Platform, Application Programming Interface (API), Business Transformation, Applied Machine Learning, Hybrid Cloud Computing, Image Analysis, Infrastructure As A Service (IaaS), Cloud Computing, Public Cloud, Containerization, Cloud Computing Architecture, Multi-Cloud, Machine Learning, Software As A Service, Computer Vision
Google Cloud
Skills you'll gain: Google Cloud Platform, Machine Learning, Data Strategy, MLOps (Machine Learning Operations), Applied Machine Learning, Development Environment, Data Ethics, Artificial Intelligence, Computer Vision, Jupyter
DeepLearning.AI
Skills you'll gain: Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning, Debugging, Data-Driven Decision-Making, Performance Tuning
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: Cloud Development, Image Analysis, Anomaly Detection, Microsoft Azure, Cloud Storage, Data Storage, Cloud Applications, Computer Vision, Text Mining, Microsoft Development Tools, Unsupervised Learning, Data Storage Technologies, Natural Language Processing, Continuous Deployment, Data Ethics, Application Deployment, Virtual Machines, ASP.NET, GitHub, Generative AI
In summary, here are 10 of our most popular ml+deployment+challenges courses
- Launching into Machine Learning:Â Google Cloud
- Machine Learning in Production:Â DeepLearning.AI
- Large Language Model Operations (LLMOps):Â Duke University
- Introduction to Large Language Models:Â Google Cloud
- Machine Learning on Google Cloud:Â Google Cloud
- Preparing for Google Cloud Certification: Machine Learning Engineer:Â Google Cloud
- Cloud Application Development Foundations:Â IBM
- Digital Transformation Using AI/ML with Google Cloud:Â Google Cloud
- How Google does Machine Learning:Â Google Cloud
- Structuring Machine Learning Projects:Â DeepLearning.AI