IT10A06: MICROSOFT AZURE AI FUNDAMENTALS (SF)
MICROSOFT AZURE AI FUNDAMENTALS (SF)
Course Duration
Who Should Attend
- Application Consultant
- Change Manager
- Business Analyst
- Application Developer
- Data Scientist
What's In It for Me
Mastering the basics in AI can help you jump-start your career and get ready to dive deeper into the other technical opportunities Azure offers. Artificial intelligence (AI) opens doors into possibilities that might have seemed like science fiction only yesterday. Using AI, you can build solutions, improve your apps and advance technology in many fields, including healthcare, financial management, and environmental protection, to name just a few.
Course Overview
This course introduces fundamentals concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions. It is designed to help students build awareness of common AI workloads and the ability to identify Azure services to support them.
Course Schedule
Next available schedule
Course Objectives
- Describe Artificial Intelligence workloads and considerations.
- Describe fundamental principles of machine learning on Azure.
- Describe features of computer vision workloads on Azure.
- Describe features of Natural Language Processing (NLP) workloads on Azure.
Pre-requisites
- Basic level of familiarity with computer technology and the Internet
- Basic understanding of data analytic concepts
- Hardware & Software
This course will be conducted as a Virtual Live Class (VLC) via Zoom platform. Participants must own a zoom account and have a laptop or a desktop with “Zoom Client for Meetings” installed. This can be downloaded from https://zoom.us/download
System Requirement |
Please ensure that your computer or laptop meets the following requirements.
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Course Outline
Module 1 : Explore Fundamentals of Artificial Intelligence
- Introduction to Artificial Intelligence
- Artificial Intelligence in Microsoft Azure
Module 2 : Explore Fundamentals of Machine Learning
- Introduction to Machine Learning
- Azure Machine Learning
Module 3 : Explore Fundamentals of Computer Vision
- Computer Vision Concepts
- Creating Computer Vision solutions in Azure
Module 4 : Explore Fundamentals of Natural Language Processing
- Introduction to Natural Language Processing
Building Natural Language Solutions in Azure
Certificate Obtained and Conferred by
Certificate of Completion from NTUC LearningHub
Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from NTUC LearningHub.
Additional Details
Medium of Instruction: English
Trainer:Trainee Ratio is 1:20
Mode of Delivery: Virtual Live Class (VLC) via Zoom
As this is a government subsidised programme, the entire training programme will be video recorded for audit purposes by the relevant funding agency. To ascertain their presence, Trainees / Participants are required to
- Turn on web camera to show real-time video, as opposed to using a profile picture / video (jpg/jpeg, gif or png image file) for the entirety of the training and assessment session.
- Ensure that their faces are fully visible (not just the forehead / eyebrows)
- Use their full name as per NRIC / Passport as their Screen Name on Zoo
Price
Course Fee and Government Subsidies |
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Individual Sponsored |
Company Sponsored |
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Non-SME |
SME |
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Before GST |
With GST |
Before GST |
With GST |
Before GST |
With GST |
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Full Course Fee
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$650.00 |
$708.50 |
$650.00 |
$708.50 |
$650.00 |
$708.50 |
For Singapore Citizens aged 39 years and below
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$195.00 |
$212.55 |
$195.00 |
$212.55 |
$65.00 |
$82.55 |
For Singapore Citizens aged 40 years and above |
$65.00 |
$82.55 |
$65.00 |
$82.55 |
$65.00 |
$82.55 |
Funding Eligibility Criteria:
Individual Sponsored Trainee |
Company Sponsored Trainee |
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Remarks:
Individual Sponsored Trainee |
Company Sponsored Trainee |
SkillsFuture Credit:
UTAP:
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Absentee Payroll (AP) Funding:
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Terms and conditions apply. NTUC LearningHub reserve the right to make changes or improvements to any of the products described in this document without prior notice.
Prices are subject to other LHUB miscellaneous fees.
Batch ID | Course Period | Course Title | Funding Available |
Duration (Hours) |
Session (Hours) |
Venue | Available Seats |
Online Payment |
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