Sanjiv i is an ACTA certified experienced leader with a proven track record in business / finance consulting and in developing i) business intelligence (BI) solutions ii) data analytics/analysis solutions and iii) IOT lead BI solutions. Sanjiv's goal through Prudentia Consulting, is to promote the simple joy and excitement of actively using the Microsoft Platform. He believes that the agility afforded by the Microsoft platform helps businesses get time back for deeper business thinking and to spend more time with their end customers
Sanjiv has rich experiences in diverse/complex high-tech businesses, turn around environments and strategic transformations. His functional expertise is in sales analytics, financial planning and analysis, engineering and program management. He has worked across discrete manufacturing, professional services and higher education verticals. He also has a working knowledge of equities portfolio management within the financial services domain.Sanjiv is the CEO of Prudentia Consulting, an organization committed to promoting the active usage of the Microsoft Platform. Prior to this, he has worked at Microsoft (US & APAC: 9.2 years), Cognizant Tech Solutions (3.3 years), Yazaki North America (8 years) and until recently at Oracle. Here are a few of his BI/analytics projects driven at scale: Built APAC wide BI dashboard using the Power BI umbrella tool set (Power BI online, Power BI desktop and Power Pivot) and a KPI lake (SQL DB), Helped develop key KPIs – identified key KPIs and helped land this in the DB, Developed a budget audit tool that captured budget inputs from a host of countries across the globe, Developed a business unit P&L reporting tool (functional architecture) in Business Objects for the world-wide financial planning and analysis team.
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
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