Immerse yourself in the transformative world of AI with the Azure AI Boot Camp for Technical Users. This intensive, three-day program, designed for technical professionals new to Azure and AI, offers an exceptional opportunity to harness AI's capabilities. From interpreting images and text to decoding speech and developing decision support systems, you'll cultivate a dynamic skillset that translates into actionable improvements for your organization and increases the efficiency of your day-to-day tasks. This course isn't just about learning; it's about empowering you to drive change, innovate, and excel in your professional journey. Guided by our expert Azure AI instructor, you’ll gain modern hands-on skills using innovative tools to implement practical AI solutions at your workplace, resulting in smarter applications and improved operational efficiency.

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* Actual course outline may vary depending on offering center. Contact your sales representative for more information.

Learning Objectives

This course combines engaging instructor-led presentations and useful demonstrations with valuable hands-on labs and engaging group activities. Throughout the course you’ll learn how to:
Understand the core concepts and tools of Azure AI services, and their significance in a business environment. This foundational knowledge will help you appreciate how AI can streamline operations and offer innovative solutions.
Develop the ability to work with Azure Cognitive Services for tasks such as text analytics, speech recognition, and image analysis. These practical skills can enhance applications with rich, natural user experiences.
Learn how to create, deploy, and monitor machine learning workflows in Azure. This hands-on understanding will allow you to harness the power of AI for predictive modelling and data analysis.
Acquire the skills to build intelligent chatbots using Azure Bot Services and integrate them with natural language understanding. This ability can improve your organization's customer engagement and services.
Gain proficiency in using Azure tools for data analysis, visualization, predictive modelling, and real-time analytics. These skills will empower you to draw valuable insights from big data and implement real-time decision-making processes.
Familiarize yourself with the usage of Azure AI in various applications such as vision, language, speech and voice, and decision support. This knowledge will enable you to create diverse AI-powered solutions tailored to specific industry needs.

1

  • INTRODUCTION TO AZURE AI

  • Overview of Azure AI services and offerings

    Understanding the benefits of Azure AI for businesses

    Exploring the Azure AI ecosystem and tools

2

  • AZURE COGNITIVE SERVICES

  • Introduction to Azure Cognitive Services and its key features

    Text analytics and natural language processing with Azure Cognitive Services

    Speech recognition and synthesis using Azure Cognitive Services

    Computer vision and image analysis with Azure Cognitive Services

3

  • AZURE MACHINE LEARNING

  • Introduction to Azure Machine Learning and its components

    Creating and managing machine learning experiments in Azure

    Training and deploying machine learning models using Azure ML

    Monitoring and scaling machine learning workflows in Azure ML

4

  • AZURE BOT SERVICES

  • Building intelligent chatbots with Azure Bot Services

    Designing conversational experiences using Azure Bot Framework

    Integrating Azure Bot Services with natural language understanding

    Deploying and managing chatbots in Azure

5

  • AZURE DATA SCIENCE AND ANALYTICS

  • Exploratory data analysis and visualization with Azure tools

    Building predictive models using Azure Machine Learning Studio

    Implementing big data analytics with Azure HDInsight

    Real-time analytics and stream processing with Azure Stream Analytics

6

  • AZURE AI FOR VISION APPLICATIONS

  • Image recognition and classification using Azure Custom Vision

    Object detection and tracking with Azure Computer Vision

    Building custom vision models with Azure Machine Learning

    Implementing facial recognition and analysis with Azure Face API

7

  • AZURE AI FOR LANGUAGE APPLICATIONS

  • Text classification and sentiment analysis using Azure Text Analytics

    Language translation and localization with Azure Translator

    Building language models with Azure Language Understanding

    Entity recognition and named entity recognition using Azure NLP services

8

  • AZURE AI FOR SPEECH AND VOICE APPLICATIONS

  • Speech-to-text transcription using Azure Speech Services

    Voice synthesis and customization with Azure Speech Services

    Implementing speech translation with Azure Speech Services

    Developing voice-enabled applications with Azure AI services

9

  • AZURE AI FOR DECISION SUPPORT

  • Implementing recommendation systems with Azure Personalizer

    Anomaly detection and predictive maintenance using Azure AI

    Forecasting and time series analysis with Azure Machine Learning

    Building decision support systems using Azure AI services

Audience

This Intermediate level course is geared for experienced technical users new to AI and Azure. Roles would include but not be limited to software engineers, developers, data analysts, IT professionals, and system administrators who are looking to learn Azure and add AI capabilities to their skillset. Attendees will build on their experience while learning and developing new skills related to Azure AI, but they don’t need to have extensive prior knowledge of AI or Azure to attend.

Language

English

Prerequisites

To ensure a smooth learning experience and maximize the benefits of attending this course, you should have the following prerequisite skills: A basic understanding of general IT concepts such as databases, servers, and networks would help attendees to grasp the concepts and functionalities of Azure AI services more effectively. Basic familiarity with any programming language can be beneficial when understanding the workflow of AI solutions, but you don’t need to be a programmer to attend. Knowledge of basic data analysis concepts such as data cleaning, data manipulation, and understanding of data types will be helpful, particularly in the sections related to machine learning and data analytics.

$2,495

Length: 3.0 days (24 hours)

Level:

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