Microsoft Certified Azure AI Engineer Associate (AI-102) Training
About This Course
This WSQ Microsoft Certified Azure AI Engineer Associate (AI-102) Training provides learners with the expertise to design, build, and deploy AI-powered applications using Microsoft Azure AI Services. This course covers key areas, including computer vision, natural language processing, AI-powered search, document intelligence, and generative AI with Azure OpenAI. Participants will learn how to create, secure, and optimize AI services, enabling seamless integration into business applications. The curriculum also emphasizes responsible AI usage, content safety, and model monitoring to ensure ethical AI deployment.
Through practical hands-on exercises, learners will develop intelligent applications that leverage Azure AI Vision for image analysis, Azure AI Language for NLP tasks, and Azure AI Search for knowledge mining. Participants will also work with Azure AI Document Intelligence for data extraction and explore generative AI applications using Azure OpenAI Service. By the end of this course, learners will be well-equipped to pass the Microsoft AI-102 certification and apply Azure AI solutions to real-world business challenges.
What You'll Learn
- Analyse algorithms in Microsoft Azure AI applications and establish their correlation with efficiency.
- Identify and evaluate the strengths and limitations of various Microsoft Azure AI applications.
- Assess the feasibility and improvements of applying Azure AI to product and maintenance processes.
Course outline:
LU1 Introduction to Microsoft Azure AI Applications
Topic 1 Get started with Azure AI Services
Topic 2 Create computer vision solutions with Azure AI Vision
LU2 Evaluate Microsoft Azure AI Applications
Topic 3 Develop natural language processing solutions with Azure AI Services
Topic 4 Implement knowledge mining with Azure AI Search
LU3 Develop Azure AI Solutions
Topic 5 Develop solutions with Azure AI Document Intelligence
Topic 6 Develop Generative AI solutions with Azure OpenAI Service
Entry Requirements
Knowledge and Skills
• Able to operate computer functions with minimum Computer Literacy Level 2 based on ICAS Computer Skills Assessment Framework
• Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)
Attitude
• Positive Learning Attitude
• Enthusiastic Learner
Experience
• Minimum of 1 year of working experience.
Target age group: 21-65 years old.