A Developer’s Guide to Building AI Applications

Artificial intelligence (AI) is accelerating the digital transformation for every industry, with examples spanning manufacturing, retail, finance, healthcare, and many others. At this rate, every industry will be able to use AI to amplify human ingenuity. This e-Book provides a comprehensive roadmap for developers to build their first AI-infused application.

Using a Conference Buddy as an example, you’ll learn the key ingredients needed to develop an intelligent chatbot that helps conference participants interact with speakers.

This eBook provides an introduction to the tools, infrastructure, and services on the Microsoft AI Platform, and teaches you how to create powerful, intelligent applications:

• Understand how the intersection of cloud, data, and AI is enabling organizations to build intelligent systems.

• Learn the tools, infrastructure, and services available as part of the Microsoft AI Platform for developing AI applications.

• Teach the Conference Buddy application new AI skills, using pre-built AI capabilities such as vision, translation, and speech.

• Learn about the Open Neural Network Exchange.

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Relevant courses for your learning:

AI-100T01: Designing and Implementing an Azure AI Solution

This course teaches students how to analyse requirements for AI solutions, recommend appropriate tools and technologies, and implement solutions that meet scalability and performance requirements. You’ll also understand when a custom API should be developed to meet specific requirements.

DP-100T01: Designing and Implementing a Data Science Solution on Azure

By end of the course, you’ll be able to accomplish technical tasks such as define and prepare development environment, prepare data for modelling, perform feature engineering, and develop models. Satisfy your business objectives by using machine learning techniques to train, evaluate, and deploy models to build AI solutions.

DP-200T01: Implementing an Azure Data Solution

Students who take this course will implement various data platform technologies into solutions that are in line with business and technical requirements including on-premises, cloud, and hybrid data scenarios incorporating both relational and No-SQL data. Learn how to process data using a range of technologies and languages for both streaming and batch data.

DP-201T01: Designing an Azure Data Solution

This course teaches students how to identify and meet data requirements to design data solutions that use Azure data services such as, Azure data storage solutions that use relational and non-relational data stores, batch and real-time data processing solutions, and design for data security and compliances.

Read to learn more:

Cloud-based advanced services, like machine learning, artificial intelligence, and data analytics, open new opportunities for technical teams to drive business value. Find inspiration and guidance about what kind of transformational changes are possible and how you can achieve them.

Azure Functions is a fully managed compute platform that process data, integrate systems, and build simple APIs and microservices. In this e-book you’ll find use cases, hands-on steps, and tutorials to guide you through configuring your own serverless environments.

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