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Introduction to Artificial Intelligence and Machine Learning in Azure

Course Summary

The Introduction to Artificial Intelligence (AI) and Machine Learning (ML) in Azure training course is designed to explore the different AI and ML services and capabilities in Microsoft Azure.

The course begins by diving into the comprehensive set of AI services including Cognitive Services and Bots. Next, the course covers custom models with ML for different scenarios. The course concludes with modeling in ML Studio.

Purpose
Learn how to implement AI and ML techniques on Azure.
Audience
Developers wanting to use AI and ML on the Azure Platform.
Role
Data Engineer - Data Scientist - Software Developer
Skill Level
Introduction
Style
Hack-a-thon - Learning Spikes - Workshops
Duration
2 Days
Related Technologies
Artificial Intelligence | Azure | Machine Learning Training

 

Productivity Objectives
  • Define the different AI APIs.
  • Explain how these services can be applied to real-world use cases.
  • Apply these services in real-world scenarios and build the next generation of smart applications.

What You'll Learn:

In the Introduction to Artificial Intelligence and Machine Learning in Azure training course, you'll learn:
  • Introduction to Artificial Intelligence and Machine Learning in Azure
    • Overview of Azure's AI and ML capabilities.
    • Importance of AI and ML in modern applications.
    • Introduction to Cognitive Services and custom machine learning models.
  • Exploring Cognitive Services
    • Overview of Cognitive Services.
      • Introduction to various categories of Cognitive Services.
      • Natural language understanding and processing.
      • Understanding images and videos.
      • Speech recognition and synthesis.
      • Knowledge mining and management.
    • Search: Intelligent search capabilities.
    • Use cases and scenarios for each category.
    • Hands-on Labs: Building with Cognitive Services
  • Introduction to Machine Learning
    • Fundamentals of machine learning.
    • Overview of Azure Machine Learning service.
    • Understanding supervised and unsupervised learning.
  • Data Science Virtual Machines
    • Introduction to Data Science Virtual Machines (DSVM).
    • Setting up DSVM for machine learning experimentation.
    • Exploring pre-configured environments for data science and machine learning tasks.
    • Creating and managing machine learning experiments.
    • Training and evaluating machine learning models using drag-and-drop interface.
    • Hands-on Labs: Working with Machine Learning Studio
  • Modeling in Machine Learning Studio
    • Advanced features of Azure Machine Learning Studio.
    • Building custom machine learning pipelines.
    • Deploying and managing machine learning models in production.
    • Monitoring and retraining models for ongoing improvement.
    • Hands-on Lab: Modeling in Machine Learning Studio
“I appreciated the instructor's technique of writing live code examples rather than using fixed slide decks to present the material.”

VMware

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