Artificial Intelligence MPN17996 (Sep 2017)

Learning path description

Keywords

Difficulty Level : Beginner
Role : Technical
Country : Global
Introduction to Artificial Intelligence (AI) [16 h 0 m]

Artificial Intelligence will define the next generation of software solutions. This computer science course provides an overview of AI, and explains how it can be used to build smart apps that help organizations be more efficient and enrich people’s lives. It uses a mix of engaging lectures and hands-on activities to help you take your first steps in the exciting field of AI. Discover how machine learning can be used to build predictive models for AI. Learn how software can be used to process, analyze, and extract meaning from natural language; and to process images and video to understand the world the way we do. Find out how to build intelligent bots that enable conversational communication between humans and AI systems. edX course. Approximately 16 hours duration.

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Introduction to Machine Learning in the Azure cloud [0 h 0 m]

Machine learning is a data science technique that allows computers to use existing data to forecast future behaviors, outcomes, and trends. Using machine learning, computers learn without being explicitly programmed. Reference documentation from azure.com.

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Microsoft Cognitive Services: Give Your Apps a Human Side [0 h 0 m]

Build ""smart"" into your apps with this new collection of intelligence and knowledge APIs from Microsoft Project Oxford and Bing. Executive Vice President, Dr. Harry Shum, the head of Microsoft's Technology and Research division of over 1,000 scientist and engineers working on over 55 research areas in labs worldwide, will share how to use artificial intelligence and machine learning-based research from Microsoft’s Cognitive Services. A video overview from azure.com.

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Bot Framework Documentation [0 h 0 m]

This is the launch point for documentation introducing the Bot Framework, explaining how to get started, how it works an covering patterns and guidelines for bots. Reference documentation from azure.com.

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Computer Vision API Version 1.0 [0 h 0 m]

The cloud-based Computer Vision API provides developers with access to advanced algorithms for processing images and returning information. By uploading an image or specifying an image URL, Microsoft Computer Vision algorithms can analyze visual content in different ways based on inputs and user choices. Reference documentation from azure.com.

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