Artificial Intelligence and Machine Learning Courses

Designing and Implementing a Microsoft Azure AI Solution (AI-102) - Self-paced

  • Length 365 days
  • Price  $550 inc GST
  • Inclusions Test Prep & Labs
Course overview
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Why study this course

This self-paced course is intended for software developers wanting to build AI infused applications that leverage Azure AI Foundry and other Azure AI services. Topics in this course include developing generative AI apps, building AI agents, and solutions that implement computer vision and information extraction. The course will use C# or Python as the programming language.

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What you’ll learn

After completing this course, students will be able to:

  • Plan and manage an Azure AI solution

  • Implement generative AI solutions

  • Implement an agentic solution

  • Implement computer vision solutions

  • Implement natural language processing solutions

  • Implement knowledge mining and information extraction solutions


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Microsoft Azure at Lumify Work

As part of Lumify Group, Lumify Work has skilled more people in Microsoft technologies than any other organisation in Australia and New Zealand. We have a campus in the Philippines, too. We offer the broadest range of instructor-led training courses, from end user to architect level.  We are proud to be the winner of the Microsoft MCT Superstars Award for FY24, which formally recognises us as having the highest quality Microsoft Certified Trainers in ANZ. 


Who is the course for?

Software engineers concerned with building, managing and deploying AI solutions that leverage Azure AI Foundry and other Azure AI services. They are familiar with C# or Python and have knowledge on using REST-based APIs and SDKs to build generative AI, computer vision, language analysis, and information extraction solutions on Azure.


Course subjects

Plan and Manage an Azure AI Solution

  • Introducing Azure AI Services

  • Securing and Monitoring Azure AI Services

  • Implementing AI Solutions Responsibly

Implement Generative AI Solution

  • Azure AI Foundry and Language Studio

  • Language Tasks Using REST APIs and Client SDKs

  • Azure OpenAI and AI Foundry

  • Projects, Playgrounds, and Models

  • Model Parameters and Prompt Engineering

  • Retrieval Augmented Generation

  • Fine-Tuning and Model Evaluation

  • Tracing and Prompt Flows

Implement an Agentic Solution

  • Using the Azure AI Foundry Agent Service

Implement Computer Vision Solutions

  • Image Analysis in the Azure AI Vision Service

  • Video Indexer and Custom Vision

Implement Natural Language Processing Solutions

  • Conversational Language & Custom Question Answering

  • Translation & Speech Tasks

Implement Knowledge Mining and Information Extraction Solutions

  • Introducing Azure AI Search

  • Configuring and Using Azure AI Search

  • AI Enrichments, Knowledge Stores, and Apache Lucene

  • Azure AI Content Understanding

Practice Exam & Labs

  • Practice Test

  • Labs


Prerequisites

Before attending this course, students must have:

If you are new to artificial intelligence, and want an overview of AI capabilities on Azure, consider completing the AI-900: Azure AI Fundamentals training before taking this one.


Microsoft - Training Solutions Partner - Microsoft Certified Trainers - MCT Superstars Award FY24


Terms & Conditions

The supply of this course by Lumify Work is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.


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