Start Azure Machine Learning with Hands-On Azure Machine Learning Course in Singapore
Azure Machine Learning is Microsoft’s cloud based platform that lets you build, train, and deploy machine learning models directly on the cloud without setting up or managing local environments. Azure Machine Learning Course Singapore is a one day classroom training where participants work hands on with the Azure platform to create and deploy machine learning models covering regression, classification, time series modelling, model evaluation, and deployment using Azure Machine Learning Studio. From importing and cleaning data to developing model pipelines and operationalising models using Azure Machine Learning Services, the azure ml training Singapore takes participants through the full machine learning workflow on the cloud in one structured classroom day. Before joining this cloud machine learning course, participants should have a working familiarity with Python programming fundamentals and a basic understanding of statistics and mathematics.
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
Anyone who wants to learn how to build and deploy machine learning models using the Microsoft Azure platform will find this Azure Machine Learning Course Singapore a practical and hands on starting point. Before joining, participants should have a working familiarity with Python programming fundamentals and a basic understanding of statistics and mathematics to follow the course comfortably across the training day.
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 Singapore
Azure Machine Learning Course Singapore gives participants hands on experience creating and deploying machine learning models using the Azure platform. Across one focused classroom day, participants work through fundamental machine learning concepts including regression, classification, and time series modelling, and explore best practices for model evaluation and deployment. Working directly with Azure Machine Learning Studio throughout the day gives participants a practical and accurate understanding of how to use the platform's features to build and manage machine learning workflows on the cloud.
What You Will Learn in This Azure ML Training Singapore
By completing this microsoft azure ai course, participants will be able to:
- Understand the fundamentals of machine learning and how the Azure platform supports it
- Develop and refine machine learning models using regression and classification techniques
- Build and apply time series models for predictive data analysis
- Follow best practices for model evaluation and deployment on Azure
- Work hands on with Azure Machine Learning Studio and its core features
Who Should Learn Azure Machine Learning?
Azure Machine Learning is widely used across different organisations and roles. Anyone who wants to work with machine learning on the Microsoft Azure platform will find this azure data science training a practical and well structured option. People who regularly work with data, analytics, development, business intelligence, or information architecture will find the skills covered in this course directly applicable to their work.
- 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 Learn Azure Machine Learning in Singapore
Azure Machine Learning is Microsoft's cloud based platform for building, training, and deploying machine learning models through a managed cloud environment rather than a local setup. Learning how to work with it gives you a practical understanding of how machine learning models are developed, tested, and put into use on the cloud using Microsoft Azure tools and services.
Working with Azure Machine Learning means you can import and clean data, run machine learning practicals, and deploy models all within one platform. Knowing how to use Azure Machine Learning Studio, develop model pipelines using Azure Machine Learning Services, and operationalise models gives you a working knowledge of how machine learning workflows are structured and managed from data preparation through to deployment on the cloud.
For anyone looking to build practical cloud machine learning skills in Singapore, learning Azure Machine Learning through a structured one day ai on azure Singapore classroom training gives you direct hands on experience with the platform in a guided and well paced environment. Every topic covered during the day connects directly to how Azure Machine Learning is used to build and manage machine learning workflows on the cloud.
What You Can Do After This Training
- Work with the Azure Machine Learning platform to build and manage machine learning workflows on the cloud
- Create and deploy machine learning models using regression and classification techniques on Azure
- Build and apply time series models for predictive data analysis within the Azure environment
- Use Azure Machine Learning Studio confidently to import data, clean it, and run machine learning practicals
- Develop model pipelines using Azure Machine Learning Services to structure and manage machine learning workflows
- Deploy machine learning models through the Azure platform and work with APIs in Excel
- Operationalise models and understand how they are managed after deployment on the cloud
- Apply azure data science training skills to data preparation, model development, and deployment tasks on the cloud
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