BRK003 Azure AI Powering new possibilities for every organization

BRK003 Azure AI: Powering new possibilities for every organization encourses you to harness the power of Azure AI to transform your business and organization. Regardless of where you are on your AI journey—whether you are contemplating getting started or already have mature AI deployments in place. Azure has solutions that meet you where you are and can help you take your organization to the next level. See behind-the-scenes demos of innovative use cases and hear first-hand from customers how Azure AI is helping them digitally transform. Get insights into how you can build secure and reliable AI applications. Learn about Azure Cognitive Services, Bot Service, Azure Machine Learning, Azure Search and more.

Azure IoT DevKit Training MXChip AZ3166

Can quality Microsoft Azure IoT DevKit Training on MXChip AZ3166 be easy to come by? With Dynamics Edge, today could be your very own lucky day!

Azure IoT Devkit Training MXChip AZ3166 Hardware Board
Azure IoT Devkit Training

Inquire to us (Dynamics Edge) for more details on our latest Azure DevKit training course options.

Ask especially for our classes that train specifically on the actual hardware board, specifically our to Azure IoT Hub hardware devkit training courses.

Our quality Azure IoT training classes help you understand the Azure AZ3166 MXChip in order to help you start learning how to program Internet of Things (IoT) smart devices. You get familiar with tools like Microsoft Visual Studio or Visual Studio Code (VS Code) to accomplish this in our integrative, hybrid, hardware and software Azure IoT Developer training courses.

Also you may ask about our Azure IoT Edge training courses for use cases like to deploy an Azure Machine Learning solution directly to a device for specific reasons we can go over with you, which may include Azure Cognitive Services training on the Azure cloud platform ,learning how to properly set up, configure, and how to connect your IoT DevKit AZ3166 to Microsoft Azure IoT Hub so that you can start to send data to the Azure modern cloud platform, potentially receive data from Azure, and more!

Azure IoT DevKit MXChip training can be used for applications such as machine learning, deep learning, and other Azure AI training related usage. Azure AI Training is an abbreviation that also means Azure Artificial Intelligence Training. Microsoft Certification Exam AI-100: Designing and Implementing an Azure AI Solution is very much related to Azure AI training – check out our website or contact us for more info on this exam and the best Dynamics Edge Azure certification training course to take for this exam i.e. ask for our Azure AI-100 Training options. Our best course to help you prepare for Azure exam AI-100 though is likely to be our Azure AI-100T01 training course.

More than just some other Azure IoT DevKit Simulator training or just a generic plain Azure training, we go in depth here with a unique combination of hardware and software topic coverage and live practice. We actually offer Azure IoT devkit courses that are based on direct practice on the hardware board itself and integrating with the software side or Azure side. That means you will be working with the actual hardware! Hands on is the way to go for the highest chances of you getting the most benefits from this type of Azure course. You may also start to understand the Arduino portion (for more details on Arduino please inquire for our azure arduino training options), VSLink, instruction sets, and how these all fit together comprehensively to make a complete Azure internet of things solution for the modern day, for smart devices, location or environment aware devices and more!

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

Our Microsoft Windows Azure AI Solution Training is here with AI-100T01 Dynamics Edge Course Number 1100 for your quality instruction.

About this Course:

This is 3-day course, build a customer support chat Bot that use artificial
intelligence from the Microsoft Azure platform including language
understanding and pre-built AI functionality in the Azure Cognitive
Services.

Audience profile:

This course is aimed at Cloud Solution Architects, Azure artificial
intelligence designers, and AI developers.

Prerequisites:

Before attending this Azure AI Implementation training course, students must have:

  • Azure Fundamentals
  • C# Knowledge

Course Outline

Module 1: Introducing Azure Cognitive Services

The student will learn about the available Cognitive Services on Microsoft
Azure and their role in architecting AI solutions.

Lessons

  • Overview of Azure Cognitive Services
  • Creating a Cognitive Service on the Azure Portal
  • Access and Test a Cognitive Service

Module 2: Creating Bots

The student will learn about the Microsoft Bot Framework and Bot Services.

Lessons

  • Introducing the Bot Service
  • Creating a Basic Chat Bot
  • Testing with the Bot Emulator

Module 3: Enhancing Bots with QnA Maker

The student will learn about the QnA Maker and how to integrate Bots and
QnA Maker to build up a useful knowledge base for user interactions.

Lessons

  • Introducing QnA Maker
  • Implement a Knowledge Base with QnA Maker
  • Integrate QnA with a Bot


Module 4: Learn How to Create Language Understanding Functionality with
LUIS

The student will learn about LUIS and how to create intents and utterances
to support a natural language processing solution.

Lessons

  • Introducing Language Understanding
  • Create a new LUIS Service
  • Build Language Understanding with Intents and Utterances

Module 5: Enhancing Your Bots with LUIS

The student will learn about integrating LUIS with a Bot to better
understand the users’ intentions when interacting with the Bot.

Lessons

  • Overview of language understanding for AI applications
  • Integrate LUIS and Bot to create an AI-based solution


Module 6: Integrate Cognitive Services with Bots and Agents

The student will learn about integrating Bots and Agents with Azure
Cognitive Services for advanced features such as sentiment analysis, image
and text analysis, and OCR and object detection.

Lessons

  • Understand Cognitive Services for Bot Interactions
  • Perform Sentiment Analysis for your Bot with Text Analytics
  • Detect Language in a Bot with the Language Cognitive Services
  • Integrate Computer Vision with Bots