OpenCourser brand icon
Sign in
We may earn an affiliate commission when you visit our partners.
Pluralsight logo

Getting Your Data Ready to Train Computer Vision Models Using Azure Machine Learning

Microsoft Ignite 2019 | Getting Your Data Ready to Train Computer Vision Models Using Azure Machine Learning | Ranvijay Kumar

Read more

Microsoft Ignite 2019 | Getting Your Data Ready to Train Computer Vision Models Using Azure Machine Learning | Ranvijay Kumar

In this session, we take a detailed look at how you can use Azure Machine Learning data management and processing capabilities to prepare your data and train computer vision models. See how Azure ML datasets provide ease of access, tracking, and seamless integration with Azure ML components such as Labeling, Visual Interface, Automated ML, Script Run, Estimator, Hyperdrive, and Pipelines. Also, understand how Azure ML Data Labeling enables you to obtain annotations against your data with the help of the domain experts or private workforce within your organization. Join this session to learn how to use these capabilities to generate annotated datasets that you can quickly apply for training using deep learning frameworks.

This course is no longer available. Find a similar course by searching these:
azure machine learning computer vision data labeling data management data processing deep learning

What's inside

Syllabus

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Explores computer vision models using Azure Machine Learning, valuable for professionals in this field
Taught by Ranvijay Kumar, recognized for his expertise in computer vision and machine learning
Covers data management and processing capabilities for computer vision models, enhancing learners' technical skills
Provides hands-on experience through data labeling and dataset generation, preparing learners for practical applications
Requires familiarity with Azure Machine Learning and data science concepts, catering to experienced learners

Save this course

Create your own learning path. Save this course to your list so you can find it easily later.
Save

Activities

Coming soon We're preparing activities for Getting Your Data Ready to Train Computer Vision Models Using Azure Machine Learning. These are activities you can do either before, during, or after a course.

Career center

Learners who complete Getting Your Data Ready to Train Computer Vision Models Using Azure Machine Learning will develop knowledge and skills that may be useful to these careers:
Computer Vision Engineer
Computer Vision Engineers develop and implement computer vision systems. This course may be useful for a Computer Vision Engineer because it can help build a foundation in data management and processing techniques that are essential for preparing data for computer vision model training.
See salaries and explore the career path for Computer Vision Engineer
Machine Learning Engineer
Machine Learning Engineers design, develop, and deploy machine learning models. This course may be useful for a Machine Learning Engineer because it can help build a foundation in data management and processing techniques that are essential for preparing data for computer vision model training.
See salaries and explore the career path for Machine Learning Engineer
Data Analyst
Data Analysts collect, clean, and analyze data to identify trends and patterns. This course may be useful for a Data Analyst because it can help build a foundation in data management and processing techniques that are essential for preparing data for computer vision model training.
See salaries and explore the career path for Data Analyst
Data Engineer
Data Engineers design, build, and maintain data pipelines and infrastructure. This course may be useful for a Data Engineer because it can help build a foundation in data management and processing techniques that are essential for preparing data for computer vision model training.
See salaries and explore the career path for Data Engineer
Data Scientist
Data Scientists combine programming skills with an aptitude for math and statistics to extract meaningful insights from data. This course may be useful for a Data Scientist because it can help build a foundation in data management and processing techniques that are essential for preparing data for computer vision model training.
See salaries and explore the career path for Data Scientist
Data Visualization Engineer
Data Visualization Engineers design and develop data visualizations. This course may be useful for a Data Visualization Engineer because it can help build a foundation in data management and processing techniques that are essential for preparing data for computer vision model training.
See salaries and explore the career path for Data Visualization Engineer
Data Science Manager
Data Science Managers lead and manage teams of data scientists. This course may be useful for a Data Science Manager because it can help build a foundation in data management and processing techniques that are essential for preparing data for computer vision model training.
See salaries and explore the career path for Data Science Manager
Machine Learning Architect
Machine Learning Architects design and build machine learning systems. This course may be useful for a Machine Learning Architect because it can help build a foundation in data management and processing techniques that are essential for preparing data for computer vision model training.
See salaries and explore the career path for Machine Learning Architect
Data Science Consultant
Data Science Consultants provide consulting services to organizations on data science projects. This course may be useful for a Data Science Consultant because it can help build a foundation in data management and processing techniques that are essential for preparing data for computer vision model training.
See salaries and explore the career path for Data Science Consultant
Data Scientist Intern
Data Scientist Interns provide support to data scientists on data science projects. This course may be useful for a Data Scientist Intern because it can help build a foundation in data management and processing techniques that are essential for preparing data for computer vision model training.
See salaries and explore the career path for Data Scientist Intern
Software Engineer
Software Engineers design, develop, and maintain software systems. This course may be useful for a Software Engineer because it can help build a foundation in data management and processing techniques that are essential for preparing data for computer vision model training.
See salaries and explore the career path for Software Engineer
Cloud Architect
Cloud Architects design and build cloud-based solutions. This course may be useful for a Cloud Architect because it can help build a foundation in data management and processing techniques that are essential for preparing data for computer vision model training.
See salaries and explore the career path for Cloud Architect
Product Manager
Product Managers define and manage the development of products. This course may be useful for a Product Manager because it can help build a foundation in data management and processing techniques that are essential for preparing data for computer vision model training.
See salaries and explore the career path for Product Manager
Project Manager
Project Managers plan, organize, and manage projects. This course may be useful for a Project Manager because it can help build a foundation in data management and processing techniques that are essential for preparing data for computer vision model training.
See salaries and explore the career path for Project Manager
Business Analyst
Business Analysts analyze business processes and systems to identify opportunities for improvement. This course may be useful for a Business Analyst because it can help build a foundation in data management and processing techniques that are essential for preparing data for computer vision model training.
See salaries and explore the career path for Business Analyst

Reading list

We haven't picked any books for this reading list yet.

Share

Help others find this course page by sharing it with your friends and followers:
Facebook
LinkedIn
Reddit
X
Link
Email

Similar courses

Similar courses are unavailable at this time. Please try again later.
Course image
Time
46 hours
Level
Advanced
Via
Pluralsight
Language
English
This course belongs to a collection called Microsoft Ignite 2019: Breakouts. It's comprised of 69 courses:
  1. Machine Learning Simplified: From Ideation to Deployment with Azure Machine Learning
  2. Knowledge Mining: AI-driven Content Understanding with Cognitive Search on Azure
  3. AI Powered Web Search with Bing Search APIs, and More
  4. Manage Your End-to-end Machine Learning Lifecycle with MLOps
  5. Getting Your Data Ready to Train Computer Vision Models Using Azure Machine Learning (viewing)
  6. A Deep-dive into Conversational AI using Azure Bot Service and Cognitive Services
  7. Enterprise AI Scenarios for Speech, Technical Edition
  8. Understanding AI Enabled Search for Your Apps: Azure Search Technical Edition
  9. Building Industrial Autonomous Systems with Reinforcement Learning
  10. Increase Your .NET Productivity with Visual Studio and Visual Studio for Mac
  11. Cloud Native Applications with .NET Core and Azure Kubernetes Service
  12. Create Amazing Web Apps with ASP.NET Core
  13. Debugging Tips and Tricks in Visual Studio 2019
  14. Visual Studio Online: A Look at the Future of Developer Productivity and Collaboration
  15. Linux based Web App Development Made Easy on App Service
  16. APIs and Digital Transformation: Growing Your Business with Connected Ecosystems
  17. .NET Platform Overview and Roadmap
  18. Java on Azure: Building Spring Boot Microservices
  19. What’s New in Security for Azure SQL
  20. Raising the Bar Again for Azure SQL Database with Centrally Managed Encryption
  21. Understanding the Latest Updates in Azure Cosmos DB API for Mongo DB and Best Practices
  22. Data Modelling and Partitioning in Azure Cosmos DB: What Every Relational Database User Needs to Know
  23. Building Event Driven Apps with Azure Cosmos DB and Azure Functions
  24. A Developer's Guide to Azure Cosmos DB, from Onboarding to Going Live in Production
  25. Migrate or Build Internet-scale Applications Using MySQL
  26. Mission Critical Performance with SQL Server 2019
  27. SQL Server 2019 Big Data Clusters: Architecture, Deployment, and Security
  28. SQL Server 2019 on Containers and Kubernetes
  29. Best, Better, Hyperscale: The Last Database You Will Ever Need in the Cloud
  30. Gaining Business Insights with Open Source Analytics on Azure HDInsight: Patterns and Best Practices
  31. Migrating Your Mission-Critical Data Warehouse to Azure Synapse Analytics
  32. Deep Dive with Data Migration Tools and Azure Database Migration Service
  33. PaaSport to Paradise: Lifting and Shifting with Azure SQL Database + SSIS in Azure Data Factory
  34. Learn Why SAP Customers with Leading Brands and Large Mission Critical Landscapes Are Migrating Their SAP to Azure
  35. Driving Retail and Manufacturing Industry Transformation with SAP on Azure
  36. Lessons Learned Migrating SAP Applications to Azure: Customers and Partners
  37. Make the Most of Azure to Reduce Your Cloud Spend
  38. Oracle on Azure Overview
  39. What's New in Azure Networking
  40. Get Your Organization Ready for Your Azure Journey
  41. Introducing Azure Arc
  42. End to End Security for IoT
  43. Best Practices and Lessons Learned from Securely Operating Microsoft Azure Stack
  44. PowerShell Unplugged with Jeffrey Snover and Jason Helmick
  45. Learn How to Run Network-attached Storage Workflows in Azure
  46. Use GPU VMs to Power Remote Graphics and Visualization in the Cloud
  47. Modernize Your Retail Stores or Branch Offices with Azure Stack HCI
  48. Jumpstart Your Azure Stack HCI Deployment
  49. Building High-value Integrated Data Center Solutions for Microsoft Azure Stack
  50. Customizing Images Made Easy for Windows & Linux on Azure with Azure Image Builder Service and Shared Image Gallery
  51. Global Transit Network Architectures with Azure Virtual WAN
  52. Windows Admin Center: Unlock Azure Hybrid Value
  53. Delivering Services Privately in Your VNet with Azure Private Link
  54. Virtual Machine Manager 2019 and Data Protection Manager 2019: Customer Success Stories and What’s Next
  55. Azure Automation for Managing Servers across Your Environment
  56. PowerShell 7
  57. Automate and Manage Your Windows Server Environment Using Azure Management Services
  58. Architecting SAP Landscapes with Demanding Performance Requirements on Azure
  59. Seamless Connectivity to Azure with Windows Server and Hybrid Networking
  60. Files Are Critical to Your Business: Modernize Your File Services with Windows Server 2019 and Azure
  61. Bringing File Services into the 2020s: Migrate SMB and NFS File Shares to the Cloud with Azure Files and Sync
  62. Plan for Z-day 2020: Windows Server 2008 End of Support is Coming!
  63. Use Serverless Technologies to Manage Your IT Resources
  64. What’s Next for Software-defined Storage and Networking for Windows Server
  65. Leverage the Cloud to Strengthen Your On-premises Active Directory Security
  66. Optimize Price-performance and Lower TCO for Your Workloads with the Next-gen Azure Disks
  67. Creating Impact Today with Microsoft Quantum
  68. Microsoft Quantum: Partners in Action
  69. Driving Growth and Transformation with Microsoft IoT
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Explores computer vision models using Azure Machine Learning, valuable for professionals in this field
Taught by Ranvijay Kumar, recognized for his expertise in computer vision and machine learning
Covers data management and processing capabilities for computer vision models, enhancing learners' technical skills
Provides hands-on experience through data labeling and dataset generation, preparing learners for practical applications
Requires familiarity with Azure Machine Learning and data science concepts, catering to experienced learners
Share this
Share to help others discover this course.
Facebook LinkedIn X Reddit Link Email
Begin learning today
Enroll now to gain full access to Getting Your Data Ready to Train Computer Vision Models Using Azure Machine Learning.
Enroll now
Save for later
Add this course to your list. Find it anytime.
Save
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2025 OpenCourser