Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning.
This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring in Microsoft Azure.
- Introduction to Azure Machine Learning
- No-Code Machine Learning with Designer
- Running Experiments and Training Models
- Working with Data
- Compute Contexts
- Orchestrating Operations with Pipelines
- Deploying and Consuming Models
- Training Optimal Models
- Interpreting Models
- Monitoring Models
❖ Data scientists with existing knowledge of Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow.
❖ Those who want to build and operate machine learning solutions in the cloud
Before attending this course, students must have:
❖ A fundamental knowledge of Microsoft Azure
❖ Experience of writing Python code to work with data, using libraries such as Numpy, Pandas, and Matplotlib.
❖ Understanding of data science; including how to prepare data, and train machine learning models using common machine learning libraries such as Scikit-Learn, PyTorch, or TensorFlow.
Jesu Arockia Xavier
Xavier is an Engineering Graduate in Computer Science from New Delhi, India. Has over 12 years of experience in IT infrastructure, management, training and consultancy.
Trained over 800 professionals and fresh graduates in the span of 4 years on various SAP, Microsoft and DevOps technologies.
Key Subject Areas: Big Data, Data Engineering, Data Warehouse, Machine Learning, Artificial Intelligence, Azure Cloud, Business Intelligence Development & Reporting, Programming & Development and DevOps practices.
He trained trainees from various MNCs and Government sector organisations such as Petronas, BP, Shell, Sime Darby, BrightTree, EY, Accenture, Deloitte, Telekom Malaysia, Tenaga Nasional Berhad, Itelligence Malaysia, Abeam Consulting, Malaysian Airlines, Carlsberg, SAINS, HCL Axon, IBM, HP, World Health Organization among many others.
As well as students and fresh graduates from UPM, UKM, UMP and UiTM (Shah Alam) universities