Course Details
Course Details
What You'll Learn
Topic 1 Explore the Azure Machine Learning workspace
Explore Azure Machine Learning workspace resources and assets
Explore developer tools for workspace interaction
Topic 2 Work with data in Azure Machine Learning
Make data available in Azure Machine Learning
Topic 3 Automate machine learning model selection with Azure Machine Learning
Find the best classification model with Automated Machine Learning
Topic 4 Train models with scripts in Azure Machine Learning
Run a training script as a command job in Azure Machine Learning
Track model training with MLflow in jobs
Topic 5 Optimize model training in Azure Machine Learning
Run pipelines in Azure Machine Learning
Perform hyperparameter tuning with Azure Machine Learning
Topic 6 Deploy and consume models with Azure Machine Learning
Deploy a model to a managed online endpoint
Deploy a model to a batch endpoint
Course Info
Prerequisite
This is a intermediate course. The following knowledge is asumed:
Software Requirement
Please install the following software prior to the class
1. Pycharm : - Install Pycharm (https://www.jetbrains.com/pycharm/download/)
2 . Install Pytorch
Please follow this guide to install Pytorch https://pytorch.org/get-started/locally/
Job Roles
Job Roles
- Data Scientist
- Azure Data Engineer
- Azure Solution Architect
- Machine Learning Engineer
- Cloud Data Scientist
- Data Analytics Manager
- Cloud Solution Consultant
- Azure DevOps Engineer
- AI Developer on Azure
- Data Science Consultant
- Cloud Infrastructure Specialist
- Big Data Engineer on Azure
- Data Platform Specialist
- Machine Learning Operations (MLOps) Engineer
- Cloud Application Developer
Trainers
Trainers
Saeid is co-founder of Skymics Sdn Bhd. He has 8 years of experience in the field of IoT (Internet of Things) and Information Technology. He is a certified IBM IoT Practitioner and instructor, and a Certified Citizen Data Scientist Train-The-Trainer. He has been co-inventor of 3 inventions during the last 4 years.