AI-102 Designing and
Implementing
MS Azure AI Solution
Overview
Course Objective
Who Should Attend
This course is aimed at Cloud Solution Architects, Azure artificial intelligence designers, and AI developers.
Prerequisites
Successful Azure AI Engineers start this role with professional experience with cloud technologies, and
experience with software development kits.
Specifically:
• Implementing solutions in C# or Python
• Application development in the cloud
• Understanding Azure storage technologies
To gain these prerequisite skills, take the following free online training before attending the course:
• Explore Microsoft Azure cloud concepts
• Take your first steps with C# or Take your first steps with Python
• Core Cloud Services – Introduction to Azure
• Core Cloud Services – Azure compute options
If you are completely new to Azure AI services, please complete Microsoft Azure AI Fundamentals first.
Training Calendar
Intake
Duration
Program Fees
Module
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.
• 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.
• 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.
• 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 Language Understanding with Intents and
Utterances (LUIS) and how to create intents and utterances to support a natural
language processing solution.
• Introducing Language Understanding
• Create a new LUIS Service
• Build LUIS
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.
• 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.
• Understand Cognitive Services for Bot Interactions
• Perform Sentiment Analysis for your Bot with Text
• Analytics
• Services
• Detect Language in a Bot with the Language Cognitive
• Integrate Computer Vision with Bots
FAQs
General Questions:
Q: What is the AI-102: Designing and Implementing a Microsoft Azure AI Solution course about?
This 4-day course focuses on the technical skills required to design and implement AI solutions using Microsoft Azure. Students will learn to build and deploy a customer support chatbot by utilizing Azure Cognitive Services, the Microsoft Bot Framework, and Language Understanding (LUIS). The course covers creating cognitive services, enhancing bots with QnA Maker, integrating advanced AI functionalities like sentiment analysis, image and text analysis, and computer vision, enabling learners to develop AI-driven solutions for improved user interaction.
Q: Who should attend this course?
This course is ideal for Cloud Solution Architects, Azure artificial intelligence designers, and AI developers who want to enhance their skills in designing and implementing AI solutions on the Azure platform. It’s also suited for individuals aiming to create intelligent chatbots and integrate AI features into cloud applications.
Q: What are the prerequisites for this course?
Participants should have professional experience in cloud technologies and software development, with knowledge in programming (C# or Python), cloud application development, and Azure storage technologies. It is recommended that attendees complete the following free online training before the course:
Explore Microsoft Azure cloud concepts
Take your first steps with C# or Python
Core Cloud Services – Introduction to Azure
Core Cloud Services – Azure compute options
For those new to Azure AI services, completing Microsoft Azure AI Fundamentals is recommended.
Q: How long is the course?
The course runs for 4 days, covering the key aspects of designing and implementing AI solutions, including cognitive services, chatbot creation, and the integration of advanced AI technologies.
Q: What key topics are covered in this course?
The course covers the following topics:
Introduction to Azure Cognitive Services and how they support AI solutions
Creating and testing basic bots with the Microsoft Bot Framework
Enhancing bots with QnA Maker to build a knowledge base
Implementing Language Understanding (LUIS) for natural language processing
Integrating LUIS with bots to improve user interaction
Leveraging cognitive services for advanced AI features like sentiment analysis, image and text analysis, and computer vision
Q: Will I receive a certification after completing the course?
While this course does not directly provide certification, it prepares participants to work on AI solutions using Microsoft Azure, and those interested can pursue additional certifications such as Microsoft Certified: Azure AI Engineer Associate.
Program Content & Skills:
Q: What foundational AI concepts will I strengthen in this course?
You’ll strengthen core AI concepts such as language understanding, natural language processing (NLP), cognitive services, and bot development. The course also covers machine learning integration, sentiment analysis, image and text recognition, and AI ethics, building a solid foundation for designing, deploying, and maintaining intelligent AI solutions using Microsoft Azure.
Q: How does the course help me apply AI knowledge to real-world problems?
Through practical exercises, bot creation, and integration of cognitive services, you’ll learn to implement AI-powered chatbots, enhance user interactions, and address real-world challenges such as sentiment analysis, image and object detection, and natural language understanding. You’ll be equipped to design intelligent AI solutions for customer support, content interaction, and more in professional environments.
Q: What skills will I develop in designing and implementing AI solutions?
You’ll develop skills in integrating Azure Cognitive Services, building bots using the Microsoft Bot Framework, implementing language understanding with LUIS, and using advanced AI features such as sentiment analysis, computer vision, and text analytics. The course also trains you in designing and testing AI-based applications, improving bot interactions, and managing AI-driven solutions in cloud environments.
Q: Will I learn how to work with different types of AI services and environments?
Yes, the course covers various AI services and tools within Azure, including the Bot Framework, Cognitive Services, and LUIS. You’ll also learn to work with different AI environments, such as cloud-based bot interactions and integrating AI functionalities into diverse applications, preparing you to operate across multiple AI platforms.
Q: How does this course prepare me for using AI technologies professionally?
This course provides hands-on experience with AI solution design, bot development, and the integration of advanced Azure Cognitive Services. You’ll gain the technical expertise needed to professionally manage AI applications, analyze user interactions, improve AI solution performance, and address real-time challenges in business-critical environments.
Submit your interest today !
