Start Azure Machine Learning with Hands-On Azure Machine Learning Course in Singapore
Accelerate your data science skills with our Azure Machine Learning course. This comprehensive program is designed for those eager to dive into the world of machine learning, where you’ll learn to develop effective algorithms and models.
Schedule
- Days: 1 Days
- Duration: 7 Hours
- Timings: 9:30 AM - 5:30 PM
- 10 Anson Road, 26-08A International Plaza, Singapore 079903
Why Choose Us
- Expert Local Trainers
- Hands-on Training by experts
- Certificate of Achievement
Who Should Attend This Azure Machine Learning Course
This course is tailored for individuals aiming to advance their careers in data science, machine learning, or those interested in applying machine learning techniques within their businesses.
Business professionals
Analyst
Entrepreneur
Training Professionals
Student
Course Completion Requirements
Minimum 75% attendance is required in order to complete the course and receive the course completion certificate
Above 16 years old
High School Level English
Basic internet & computer operation skills
Azure Machine Learning Course
In this course, you will gain practical experience in creating and deploying machine learning models leveraging Azure's powerful platform. We'll cover fundamental concepts such as regression, classification, time series modeling, and more, ensuring you develop a solid understanding of machine learning techniques. What You’ll Learn
- Understanding the fundamentals of machine learning and the Azure platform
- Developing and refining machine learning models using regression and classification techniques
- Implementing time series models for predictive analytics
- Exploring best practices for model evaluation and deployment
- Hands-on experience with Azure Machine Learning Studio and its features
Who Should Learn Azure Machine Learning?
Azure Machine Learning is being used by most of the world's leading organizations. This training is the perfect choice for:
- Analytics managers
- Developers
- Business Analysts
- Information architects
- Graduates aiming to build a machine learning career
Course requirements:
The participants of our training should have
- Familiarity with Python Programming fundamentals
- Fair understanding of Statistics and Mathematics basics
Why Should You Learn Machine Learning to Grow Your Career?
- Harvard Business Review has recognized machine learning as one of the most sought-after careers in today's digital scenario, especially for its significant research and development (R&D) region.
- Many leading organizations are actively looking for professionals with expertise in Machine Learning and are prepared to offer competitive salaries
- Data from Indeed.com shows that the average salary for a Machine Learning professional is around $110,304 per year. This trend underscores the increasing demand for skilled individuals in this field, making it a lucrative career choice.
Unsure if this course is suitable for you? Take this Quick test to help you decide.
Azure Machine Learning Training Outline
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
- Learn how to develop Model Pipelines using Azure Machine Learning Services
- Understand Operationalizing Models
Frequently Asked Questions (FAQs)
Who should take this course?
This course is suitable for data scientists, analysts, and IT professionals seeking to enhance their machine learning skills using Azure.
What skills you will learn?
Participants will learn model development, data preparation, feature engineering, evaluation metrics, and deployment techniques specific to Azure Machine Learning
How long is the course?
The course is conducted over 1 day
What are the completion requirements?
A minimum of 75% attendance is required to complete the course and receive the course completion certificate