Azure Machine Learning & MLOps : Beginner to Advance
- Offered byUDEMY
Azure Machine Learning & MLOps : Beginner to Advance at UDEMY Overview
Duration | 20 hours |
Total fee | ₹399 |
Mode of learning | Online |
Credential | Certificate |
Azure Machine Learning & MLOps : Beginner to Advance at UDEMY Highlights
- 30-Day Money-Back Guarantee
- Certificate of completion
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Azure Machine Learning & MLOps : Beginner to Advance at UDEMY Course details
- How to use Azure Machine Learning from Development to Production
- How to Use Azure DevOps for Continuous Integration, continuous deployment on Machine Learning
- How to automate End 2 End machine Learning Solution on Azure
- How to Deploy Machine learning Models on Azure (Azure Container Instances, Azure Kubernetese Services, managed endpoints)
- Run an end-to-end CI/CD MLOps pipeline using Azure DevOps & Azure Machine learning
- Bests practices and highly demanded capabilities of machine learning on Azure Cloud
- A course instructed by me and my digital twin if:You are looking for a comprehensive, engaging, and fun course for mastering Azure Machine learning ( up to even advanced industry-required topics) plus fully hands-on end-to-end implantation of MLOps ( DevOps for Machine learning on Azure). If yes, then this is the right and very unique course for you! Machine Learning Operations (MLOps) is a rapidly growing culture nad highly demanded in the industry with a set of principles, and guidelines defined in the machine learning world to deploy a machine learning model into production.Azure Machine Learning is a cloud service for accelerating and managing the machine learning project lifecycle. Machine learning professionals, data scientists, and engineers can use it in their day-to-day workflows: Train and deploy models, and manage MLOps.You can create a model in Azure Machine Learning or use a model built from an open-source platform, such as Pytorch, TensorFlow, or scikit-learn. MLOps tools help you monitor, retrain, and redeploy models.Key points about this courseVery detailed in-depth and comprehensive coverage This course will help you prepare for entry into this hot career path of Machine Learning and MLOpsThe course is regularly updated with recent featuresBest practices and impactful features of Azure ML (e.g, Explainable AI) with its tricks are all coveredContains some extra videos relevant to Azure Machine Learning and Databricks (Apache Spark)
Azure Machine Learning & MLOps : Beginner to Advance at UDEMY Curriculum
Azure MLOps
Complete Intro to Azure Machine Learning Service
Intro to Azure DevOps
Setting up Azure DevOps Configurations
Create & Deploy Infrastructure as Code Pipeline
CI Pipeline ( Continuous Integration) for ML
CI Pipeline ( Continuous Integration) for ML
Automated Training with CI Pipeline
CD Pipeline (Continuous Deployment) for Staging
CD Pipeline(Continuous Deployment)for Production
Testing End to End MLOps Pipelines
Extra 1 : Azure MLOps with GitHub Actions & Azure Machine Learning
Extra 2: Databricks MLOps With GitHub Actions & MLflow
Azure ML SDK V2
Azure MLOps V2 Accelerator
Azure Machine Learning
Highly Demanded Capabilities
Responsible AI in Action - Part 1
Responsible AI in Action - Part 2
Azure Machine Learning Pipeline
Feature Store (Feast) in Azure (Machine Learning)
Ray and Dask in Azure Machine Learning
Auto ML for Computer Vision in Azure Machine Learning
Differential Privacy For Machine Learning In Action (Sensitive Data)
Integrate Azure Databricks with Azure Machine Learning
AutoML for Natural Language Processing (NLP) in Azure Machine Learning
Train and Score Thousands of Machine Learning Models in Parallel ( Many Models i
Why do Machine learning models fail? (Data Drift Monitoring in Azure)
Integrating Azure Synapse with Azure Machine Learning
Deploy Multi Model Endpoint in Azure Machine Learning
Rollout (Blue-Green) Real-Time Machine Learning Model Deployment in Azure
Consume Azure Machine Learning models in Power BI
Use PowerApps to Create Apps for Deployed Azure Machine Learning Models
Attach Your OnPrem Kubernetes to Azure Machine Learning Using Azure Arc
Components in Azure Machine Learning Pipelines
Being Platform Agnostic with MLflow in Azure Machine Learning
Deploy Spark ML model as Web Service Using Azure Machine Learning
Azure Machine Learning Environments
Scalable & Managed Batch Prediction with Azure Machine Learning
Execute Azure Machine Learning pipelines in Azure Data Factory or Synapse
Extra: Train Machine learning model once and deploy it anywhere with ONNX
Extra: Azure Machine Learning Networking (Hands-on)
Extra: AutoML Comparison in Databricks VS Azure Machine Learning
Extra: Machine Learning Lineage with Microsoft Purview
Extra: Azure + Open AI = The Future is Here
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