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Results for "ml+deployment+challenges"
Skills you'll gain: CI/CD, Application Deployment, Software Development Life Cycle, Continuous Deployment, Continuous Integration, Amazon Web Services, AWS CloudFormation, Amazon Elastic Compute Cloud, Regression Testing, Unit Testing, Infrastructure as Code (IaC), Docker (Software), Git (Version Control System)
LearnKartS
Skills you'll gain: Application Deployment, Dashboard, Salesforce Development, Salesforce, Data Presentation, Data Storytelling, Performance Tuning, Business Reporting, End User Training and Support, Change Control, Data-Driven Decision-Making, Data Management
Whizlabs
Skills you'll gain: Machine Learning Algorithms, Image Analysis, Reinforcement Learning, Forecasting, Algorithms, AWS SageMaker, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Time Series Analysis and Forecasting, Supervised Learning, Unsupervised Learning, Predictive Analytics, Regression Analysis, Natural Language Processing, Classification And Regression Tree (CART)
Microsoft
Skills you'll gain: Microsoft Azure, System Monitoring, Virtual Machines, Network Monitoring, Event Monitoring, Virtualization and Virtual Machines, Continuous Monitoring, Application Performance Management, Cloud Management, Cloud Applications, IT Automation, Web Applications, Query Languages
Skills you'll gain: Kubernetes, Microsoft Azure, Docker (Software), Azure Active Directory, YAML, Containerization, Application Deployment, Cloud Security, General Networking, Network Infrastructure, Command-Line Interface
Skills you'll gain: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Deep Learning, MLOps (Machine Learning Operations), Application Deployment, Data Pipelines, Cloud Computing, Applied Machine Learning, Artificial Neural Networks, Machine Learning, Data Transformation
Skills you'll gain: Cloud Applications, Cloud API, Application Deployment, API Gateway, Application Programming Interface (API), Cloud Computing, Serverless Computing, Application Security, Web Servers, OpenAI, Artificial Intelligence
Skills you'll gain: Tensorflow, Applied Machine Learning, Feature Engineering, MLOps (Machine Learning Operations), Google Cloud Platform, Artificial Intelligence and Machine Learning (AI/ML), Scalability, Data Processing, Machine Learning, Deep Learning, Serverless Computing, Predictive Modeling
Skills you'll gain: Google Cloud Platform, Kubernetes, Cloud Applications, Microsoft Azure, Application Deployment, Cloud Computing, Serverless Computing, Containerization, Application Performance Management, System Monitoring
- Status: Free
DeepLearning.AI
Skills you'll gain: Performance Testing, Android Development, PyTorch (Machine Learning Library), Embedded Software, Deep Learning, Tensorflow, Hardware Architecture, Artificial Neural Networks, Real Time Data, Computer Vision, Artificial Intelligence, Machine Learning
Skills you'll gain: Firewall, Terraform, Virtual Machines, Virtualization and Virtual Machines, Infrastructure as Code (IaC), Network Infrastructure, Google Cloud Platform, IT Automation, Network Security, Verification And Validation
Google Cloud
Skills you'll gain: Kubernetes, Application Deployment, Google Cloud Platform, Docker (Software), Cloud-Native Computing, Cloud Applications, Scalability, CI/CD, Containerization, Continuous Deployment, Application Lifecycle Management
In summary, here are 10 of our most popular ml+deployment+challenges courses
- AWS: CI/CD Pipelines and Deployment Strategies: Whizlabs
- Reports, Dashboards, and Deployment: LearnKartS
- ML Algorithms: Whizlabs
- Deploy and configure Azure Monitor: Microsoft
- Deploy containers by using Azure Kubernetes Service: Microsoft
- Build, Train and Deploy ML Models with Keras on Google Cloud - Français: Google Cloud
- Deploy AI Apps with Cloudflare: Scrimba
- Serverless Machine Learning with Tensorflow on Google Cloud auf Deutsch: Google Cloud
- Deploy and Monitor in Google Cloud for Azure Professionals: Google Cloud
- Introduction to On-Device AI: DeepLearning.AI