Overview
In this course, students will gain comprehensive knowledge of machine learning operations, leveraging Azure Machine Learning. They will explore the fundamentals of designing a machine learning solution while becoming familiar with the Azure Machine Learning environment. Participants will understand the intricacies of data ingestion and preparation, furthering their proficiency in using Python within Azure’s ecosystem. The course covers a spectrum of topics from no-code machine learning with Azure Machine Learning Designer to optimizing model training and deployment. Students will also delve into the significance of machine learning operations (MLOps) solutions in maintaining and scaling ML models.
This course is designed for individuals with a foundation in Python and machine learning, aiming to enhance their expertise in managing, training, and deploying ML solutions using Microsoft Azure.
Roles
- Data Scientist
- AI Engineer
What You'll Learn
- Describe what data science and machine learning are, their applications & use cases, and various types of tasks performed by data scientists
- Examine the Azure Machine Learning SDK tool
- Deploy, train and analyze a model using Azure Machine Learning
Skills You'll Gain
- Microsoft Azure
- Machine learning
Total hours
- Sync Hands-on/Lecture: 8 Hours
- Async Learning: 6 Hours
- Assessment: 10 hours
Course outline
Required resources
Laptop, Intel Core i5 or higher, 16GB RAM, 1TB Storage, Graphics Card (Hardware); Microsoft Azure (Software); Adequate Internet Connection (Network)
Pre-Requisites
The primary audience for this course is data professionals, data architects, and business intelligence professionals who want to learn about data engineering and building analytical solutions using data platform technologies that exist on Microsoft Azure. The secondary audience for this course are data analysts and data scientists who work with analytical solutions built on Microsoft Azure.
Assessment
Practical Assessment: Hands-on activities are prepared to assess the attainment of learning outcomes.
Final Assessment: This exam is an opportunity to demonstrate knowledge of core data concepts and related Microsoft Azure data services.Â
Credit and Recognition
The learner is eligible to take the Microsoft Certified: Azure Data Engineer Associate.
Â
Earn this BatStateU – Microsoft LearnBadge and highlight it in your performance review!
Share your achievement on your LinkedIn profile, resume or CV, and social media accounts.”
Â
This course is accredited by Microsoft and is facilitated by a Microsoft Certified professional.
