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AI-102 Azure AI Engineer Training

Course Information

  • Sessions 2 days
  • Duration 15 hrs
  • Level Beginner
  • Assessment NA

Venue

Kuala Lumpur: G-3A-02, Suite Pejabat Korporat, KL Gateway, No 2, Jalan kerinchi, Gerbang kernichi Lestari, 59200 Kuala Lumpur, Malaysia
Penang: Jalan Sungai Dua, 11700 Penang, Malaysia.

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Certification

  • 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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What's This Course About

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.

Microsoft Learning Partner

We are Authorised Microsoft Learning Partner (Org ID:  5238476). To get the official Microsoft certification, please register your certification exam at Pearson Vue Test Center.

Certification Exam at Pearson Vue

We are Authorised Pearson Vue Testing Center. Once you have prepared for the exam, you can register for the certification here. The course fee does not include the certification exam fee.

You can purchase the exam voucher (one of the lowest prices in Singapore) at Microsoft Role-Based Certification Exam Voucher.

WSQ Funding

Full Fee 2,100.00 Before GST
GST 189.00 9% of fee
Baseline Nett 1,239.00 SG/PR age 21+ · 50% funded
MCES / SME Nett 819.00 SG age 40+ · 70% funded
Funding and Grant Applications

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

MYR2,100.00

Additional Note

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

Disclaimer: The course dates displayed on our website are tentative and subject to trainer availability. We will confirm the final date after checking with the trainer. You are also welcome to email us your preferred date at sales@tertiarycourses.com.my, and we will do our best to coordinate with the trainer's schedule.

Post-Course Support

  • We may provide consultation related to the subject matter after the course.
  • Please email your queries to sales@tertiarycourses.com.my and we will forward your queries to the subject matter experts and get back to you as soon as possible.

Cancellation & Reschedule Policy

  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
  • Note: the venue of the training is subject to changes due to class size and availability of the classroom. The minimum class size to start a class is 3 Pax.

Course Details

Course Details

What You'll Learn

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:

Hardware: Window or Mac Laptops

Job Roles

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

Trainers

Saeid is co-founder of Skymics Sdn Bhd. He has 8 years of experience in the field of IoT (Internet of Things) and Information Technology. He is a certified IBM IoT Practitioner and instructor, and a Certified Citizen Data Scientist Train-The-Trainer. He has been co-inventor of 3 inventions during the last 4 years.

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