Deep Learning & Azure Machine Learning Course
Kickstart your journey with our hands-on Azure Machine Learning course. You’ll learn how to build and deploy machine learning models using real-world techniques like regression, classification, time series forecasting, and more.
1 DAYS
Course Days
7 HOURS
Course Duration
9:30 AM - 5:30PM
Course Timings
VENUE
10 Anson Road, 26-08A International Plaza, Singapore 079903
Course Start Date
Deep Learning & Azure Machine Learning Course
In this course, you will have an immersive introduction to the professions of the machine learning engineer and data scientist. You’ll be using Python to derive meaningful insights from data for better data-informed and future-oriented decision-making. You’ll be working with datasets from real-world applications in e-commerce, automotive, and social media. You will learn to build machine learning models in a series of projects using several machine learning techniques, including regression, classification, time series forecasting, and more!
Upon Course Completion, The Candidate Will Be Able To
Describe Machine Learning (ML) and its concepts
Gain insights into the roles played by a Machine Learning Engineer
Discuss various ML algorithms and their implementation
Validate ML algorithms
Why Should You Learn Machine Learning To Grow Your Career?
Harvard Business Review endorses Machine Learning as the hottest job for today’s digital world due to its remarkable achievements in the R&D (Research and Development) sector.
Most top-rated organizations are seeking Machine Learning professionals and offering high payouts.
According to Indeed.com, on average, a Machine Learning professional earns $110,304 per annum.
Who Should Learn Machine Learning?
Machine Learning is being used by most among the world leading organizations. This training is the perfect choice for:
Analytics managerss
Developers
Business Analysts
Information architects
Graduates aiming to build a machine learning career
Prerequisites
The participants of our training should have
Fair understanding of Statistics and Mathematics basics
Familiarity with Python Programming fundamentals
Who Should Attend This Machine Learning Course Singapore
Machine Learning is being used by most among the world leading organizations.This Machine learning course is the perfect choice for:
Analyst
Turn insights into strategy
Business professionals
Drive smarter decisions
Entrepreneur
Innovate with AI power
Training Professionals
Upskill the future workforce
Student
Kickstart your AI journey
Entry Requirements
Above 16 years old
High School Level English
Basic internet & computer operation skills
Course Completion Requirements
Minimum 75% attendance is required in order to complete the course and receive the course completion certificate
Azure Machine Learning Training Curriculum
Module 1: Data Science Lifecycle & Machine Learning Introduction
- The objective of this module is to learn the data science lifecycle, and basic machine learning techniques. This module will take participants through the foundations of the data science lifecycle, the different steps involved, and the common machine learning techniques utilized in different industry areas.
Module 2: Machine Learning using Azure Machine Learning (AML) Studio
- Learn AML Studio Components
- Learn how to Import Data
- Learn Data Cleaning and Manipulation
- Machine Learning Practicals
- Learn how to Deploy Machine Learning Models
- Learn APIs in Excel Module
Module 3: Machine Learning using Azure Machine Learning Services
- Learn Azure Machine Learning Services
- Using Pandas
- Understand Operationalizing Models
See how MOCD Studio’s courses help our students grow and succeed
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Read MoreFrequently Asked Questions (FAQ)
What is the schedule and duration of the course?
The course is 1 day long (7 hours) and the time is 9:30 AM to 5:30 PM.
Where is the course held?
Venue: 10 Anson Road, 26‑08A International Plaza, Singapore 079903
Who should attend this course?
This course is ideal for: Analytics Managers, Developers, Business Analysts, Information Architects, Graduates seeking to begin a career in machine learning.
What are the entry requirements?
Requirements: Must be above 16 years old, High school level English proficiency, Basic internet and computer usage skills
What is the attendance requirement to receive a certificate?
You need at least 75% attendance to qualify for the course completion certificate.
ADDITIONAL SUPPORT
For Company
* Eligible companies can reimburse up to 90% of the payable amount via SFECFor Self-sponsor
* Singaporean can offset the payable amount via SkillsFuture Credit (Except Mid Career Credit) and/or PSEA * NTUC Union members can reimburse of up to 50% of the unfunded fee under UTAP Enjoy up to $250 UTAP support. More info: UTAP
Note: minimum 75% attendance & passing all the assessment are required for WSQ subsidy deduction.
Address
10 Anson Road,
26-08A International Plaza
Singapore 079903
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