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AI-102 Azure AI Engineer Training

Sessions 2 days
Duration 15 hrs
Level Beginner
Assessment NA

Venue

12 Woodlands Square #07-85/86/87 Woods Square Tower 1, Singapore 737715. 5 mins walk from Woodlands (NS9) MRT station.

The venue is disabled-friendly.

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Certificate of Completion from Tertiary Courses - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Courses.

AI-102 Azure AI Engineer Training

Course Code: C926

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Our AI-102 Designing and Implementing a Microsoft Azure AI Solution Exam Preparation course is meticulously designed to help you master the skills necessary to pass this crucial certification exam. The course will equip you with a deep understanding of designing and implementing AI solutions leveraging the power of Microsoft Azure.

This course covers all aspects of the AI-102 exam, from planning and managing an Azure Cognitive Services solution to implementing complex AI workflows. Our blend of theoretical modules and practical exercises will enable you to understand and apply the concepts of Azure AI effectively. Whether you're a professional looking to validate your skills with a certification or a student aiming to dive into the world of AI, this course is the ideal pathway. Enroll today and start your journey towards becoming a certified Azure AI professional.

Get exam-ready on our Practice Exam Portal — train in realistic Practice Mode and timed Exam Mode, then retake them as many times as you like before the real exam.

Start Practising →

No funding is available for this course

For WSQ funding, please checkout the details at WSQ - Microsoft Azure AI Engineer Associate (AI-102)

Course Fee

₵8,400.00 (GST-exclusive)

₵9,156.00 (GST-inclusive)

Mode of Training

Physical Classroom Training
Synchronised Teaching using ZOOM
Corporate Training at Company Premise

Course Date * Course Date

Include Exam Voucher *

No
Yes +₵2,400.00

Course Time * Course Time

9:30am - 5:30pm

No. of Participants

Sponsorship

Self-Sponsored
Employer-Sponsored

Name(s) on Certificate *

Additional Message or Emails for Course Notification

* Required Fields

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

We provide free consultation related to the subject matter after the course.
Please email your queries to enquiry@tertiaryinfotech.com and we will forward your queries to the subject matter experts.

You can register your interest without upfront payment. There is no penalty for withdrawal of the course before the class commences.
We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% for any paid amount.
Note the venue of the training is subject to changes due to availability of the classroom.

Course Details

Topic 1 Prepare for AI engineering

Define artificial intelligence
Understand AI-related terms
Understand considerations for AI Engineers
Understand considerations for responsible AI
Understand capabilities of Azure Machine Learning
Understand capabilities of Azure Cognitive Services
Understand capabilities of the Azure Bot Service
Understand capabilities of Azure Cognitive Search

Topic 2 Provision and manage Azure Cognitive Services

Create and consume Cognitive Services
Secure Cognitive Services
Monitor Cognitive Services
Deploy cognitive services in containers

Topic 3 Process and translate text with Azure Cognitive Services

Extract insights from text with the Language service
Translate text with the Translator service

Topic 4 Process and Translate Speech with Azure Cognitive Speech Services

Create speech-enabled apps with the Speech service
Translate speech with the speech service

Topic 5 Create a Language Understanding solution with Azure Cognitive Services

Build a Language Understanding model
Publish and use a Language Understanding app

Topic 6: Build a question answering solution

Understand question answering
Compare question answering to language understanding
Create a knowledge base
Implement multi-turn conversation
Test and publish a knowledge base
Use a knowledge base
Improve question answering performance
Create a question answering bot

Topic 7 Build custom text analytics solutions

Create custom text classification solutions
Custom named entity recognition

Topic 8 Create conversational AI solutions

Create a bot with the Bot Framework SDK
Create a Bot with the Bot Framework Composer

Topic 9 Create computer vision solutions with Azure Cognitive Services

Analyze images
Analyze video
Classify images
Detect objects in images
Detect, analyze, and recognize faces

Topic 10 Extract text from images and documents

Read Text in Images and Documents with the Computer Vision Service
Extract data from forms with Form Recognizer

Topic 11 Implement knowledge mining with Azure Cognitive Search

Create an Azure Cognitive Search solution
Create a custom skill for Azure Cognitive Search
Create a knowledge store with Azure Cognitive Search
Enrich a search index using Language Studio
Implement advanced search features in Azure Cognitive Search
Build an Azure Machine Learning custom skill for Azure Cognitive Search
Search data outside the Azure platform in Azure Cognitive Search using Azure Data Factory
Maintain an Azure Cognitive Search solution

Topic 12 Develop AI solutions with Azure OpenAI

Get started with Azure OpenAI Service
Build natural language solutions with Azure OpenAI Service
Apply prompt engineering with Azure OpenAI Service

Practice Exam

Course Info

Promotion Code

Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.

Minimum Entry Requirement

Knowledge and Skills

Able to operate using computer functions
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: 18-65 years old

Minimum Software/Hardware Requirement

Software:

Microsoft Azure Machine Learning account

Hardware: Window or Mac Laptops

Job Roles

AI Developer
Cloud Solutions Architect
Data Scientist
Machine Learning Engineer
Azure AI Engineer
Cloud Technical Specialist
Data Analyst
AI Solutions Architect
Business Intelligence Developer
IT Project Manager (focused on AI initiatives)
DevOps Engineer (with AI integration)
Software Developer (seeking AI capabilities)
Technical Consultant (Azure-focused)
Innovation Manager
Cloud Product Manager

Trainers

Sanjiv i is an ACTA certified experienced leader with a proven track record in business / finance consulting and in developing i) business intelligence (BI) solutions ii) data analytics/analysis solutions and iii) IOT lead BI solutions. Sanjiv's goal through Prudentia Consulting, is to promote the simple joy and excitement of actively using the Microsoft Platform. He believes that the agility afforded by the Microsoft platform helps businesses get time back for deeper business thinking and to spend more time with their end customers Sanjiv has rich experiences in diverse/complex high-tech businesses, turn around environments and strategic transformations. His functional expertise is in sales analytics, financial planning and analysis, engineering and program management. He has worked across discrete manufacturing, professional services and higher education verticals. He also has a working knowledge of equities portfolio management within the financial services domain.Sanjiv is the CEO of Prudentia Consulting, an organization committed to promoting the active usage of the Microsoft Platform. Prior to this, he has worked at Microsoft (US & APAC: 9.2 years), Cognizant Tech Solutions (3.3 years), Yazaki North America (8 years) and until recently at Oracle. Here are a few of his BI/analytics projects driven at scale: Built APAC wide BI dashboard using the Power BI umbrella tool set (Power BI online, Power BI desktop and Power Pivot) and a KPI lake (SQL DB), Helped develop key KPIs – identified key KPIs and helped land this in the DB, Developed a budget audit tool that captured budget inputs from a host of countries across the globe, Developed a business unit P&L reporting tool (functional architecture) in Business Objects for the world-wide financial planning and analysis team.

Alec Tan is a ACTA certified trainer, He has a number of Comptia certifications. Since 2002, starting off from IT technical background to pre-sales, sales account manager, system integration, operate IT retail / repair shop business in Sim Lim Square 2008 ~ 2012, and back to IT industry employment, freelance IT Trainer till present.

CY Quah is an ACLP-certified trainer and data science professional with extensive experience in Python, NLP, and machine learning. He has led AI training programs for SAP, Temasek Polytechnic, and IMDA under the SGUnited Mid-Career Pathways initiative, and has delivered corporate workshops on text analytics, recommender systems, and chatbot development. His expertise includes applying NLP tools such as NLTK, spaCy, and Gensim for sentiment analysis, topic modeling, and text classification.

Peter Cheong is an IT and knowledge management professional with strong expertise in networking, cybersecurity, and information systems. He has completed the Cisco Networking Academy Introduction to Packet Tracer course and has participated in international ICT and knowledge management conferences such as the IFLA Knowledge Management Satellite Meeting. With professional experience in IT systems and infrastructure, Peter brings both technical knowledge and global exposure to his training. As an adult educator, Peter focuses on building learners’ foundational skills in cybersecurity, network defense, and risk management aligned to CompTIA Security+ objectives. His sessions emphasize real-world security scenarios, equipping participants to recognize vulnerabilities, manage threats, and implement effective security controls. His combination of practical training and industry exposure ensures learners are well-prepared for both the certification exam and workplace application.

Alan Tan is an ACTA certified trainer. Alan Tan hold Masters in Data Science in Singapore University of Technology and Design. He is Microsoft Power Platform PL-900 certified and Microsoft Azure Data Fundamentals Certified DP-900. He has these skills in Microsoft Power Platform development skills such as Powerapps, Power Automate,Power Portal, Power Virtual Agent, Power BI, Sharepoint, Dataverse, etc. For Programming language such as Python and Robotics Process Automation (RPA) development. He is working as a Senior Data Engineer in an MNC.