Learning Path: Developer’s Guide to Artificial Intelligence
A learning path is a carefully curated set of technical sessions that provide a view into a particular area of Azure; and often help you prepare for a certification. Each session in a learning path is business-scenario focused so you can see how this technology could be used in the real world. Each session is independent, however viewing them as a series builds a clearer picture of when and how to use which technology. Artificial Intelligence (AI) is driving innovative solutions across all industries but with machine learning (ML) applying a paradigm change to how we approach building products we are all exploring how to expand our skill sets and enhance our applications. Tailwind Traders is a retail company looking for support on how to benefit from applying AI across their business. In ‘Developer’s Guide to AI’ we’ll show how Tailwind Traders have solved business challenges and implemented AI technologies. In this learning path you will see a wide range of examples: dealing with different types of data (text, audio, image, unstructured), sharing best practices around unstructured search and conversational AI or taking your next step in learning more about machine learning theory with low code solutions.
Session 1: Introducing Computer Vision for Automation in Changing Times
In an effort to protect the wellbeing and safety of all employees during the global pandemic and promote social distancing, Tailwind Traders needed to reconsider its staffing model. This has presented a challenge; quarterly inventory counts are happening in 4 weeks time and a reduction in staff means a longer inventory count period. In this session you will learn how Computer Vision was harnessed to address this opportunity and enable inventory counts to occur quicker to aid workers using Azure Cognitive services vision capabilities. Key technologies included: Cognitive Services Computer Vision, ONNX, Unity Check out more on Learn!
Session 2: Extracting Value from Text and Audio to Inform Business Strategy
Tailwind Traders have a great website and application for customers and partners. However, they are seeing an increased amount of support tickets regarding usage of these offerings. They want to store, analyze and extract insights from their text and audio data to make better product backlog decisions and reduce their support tickets. In this session you’ll learn how Tailwind Traders took their support ticket text and audio files, convert and extract insight metadata from each ticket using Azure Cognitive Services Text Analytics and Speech-to-Text. Then aggregated their findings to inform their product backlog and implement improvements. Key technologies included: Azure Cognitive Services, Azure Storage and Power BI, (Aspect Based Sentiment Analysis, Speech to Text, LUIS) Check out more on Learn!
Session 3: Making Sense of your Unstructured Data with AI
Tailwind Traders have a lot of data often in unreadable formats such as Invoice PDFs, Product and Review images and inventory forms. They would like the ability to extract this rich information, analyze it and act on it. In this session, you’ll learn how the team use Azure Cognitive Search to make sense of this data in a short amount of time and with amazing success. We’ll discuss AI concepts, like the ingest-enrich-explore pattern, skillsets, leveraging cognitive services, knowledge bases and connecting all these elements together to build an intelligent search experience into their applications. Key technologies included: Azure Cognitive Search, Azure Cognitive Services, Azure Functions, Azure Storage. Check out more on Learn!
Session 4: Improve Customer Engagement and Productivity with Conversational AI
Tailwind Traders recent internal employee survey showed their employees are frustrated with lengthy processes for simple actions, such as booking vacation and other company benefits. They want to reduce the friction of reviewing and booking vacation so it’s a simple, easy and pleasant process for their employees. In this session you will see how Tailwind Traders applied Conversational AI best practices to simplify the vacation process for their employees. Using the Bot Framework Composer tooling you can quickly build conversation flows, incorporate intelligence services such as Q&A maker and LUIS, test and deploy your virtual assistant to the cloud and embed it where your customers and employees spend their time. Key technologies included: Bot Framework – Composer, Cognitive Services – Q&A Maker, Cognitive Services – LUIS, Azure Bot Service Teams. Check out more on Learn!
Session 5: Start Building Machine Learning Models Faster than You Think
Tailwind Traders are finding it difficult to accurately predict they inventory at their many different retail stores. They want to introduce custom machine learning models to help, without changing their Software Development Life Cycle. How? They are exploring Azure Machine Learning Designer. In this session, you’ll learn the data science process that Tailwind Traders’ uses and get an introduction to Azure Machine Learning Designer. You’ll see how to find, import, and prepare data, select a machine learning algorithm, train and test the model, and deploy a complete model to an API. Get tips, best practices, and resources you and your development team need to continue your machine learning journey. Key technologies included: Azure Machine Learning Designer. Check out more on Learn!