Azure Machine Learning Training
Catalogue index: IFS/88
product- line 1
Features
Description
InfoShare Academy is a leading IT academy offering comprehensive educational programs in new technologies for companies. Since 2015, we have been supporting organizations in developing technology teams through dedicated courses in Machine Learning, DevOps, Data Engineering, Python, UX/UI Design, AWS, and Kubernetes. Our training is based on practical skills and real business cases. We collaborate with over 300 industry practitioners, ensuring that our programs are tailored to current market needs. We specialize in reskilling and upskilling employees. With us, you will build effective teams implementing new technologies that will accelerate innovation and strengthen your company's competitiveness in the market. Check out our training offerings designed for companies, created to enhance your employees' competencies in the IT field.
- The Azure Machine Learning training is an intensive two-day course focusing on the practical application of tools and services available in Azure for creating, training, and deploying machine learning models. The training program is designed so that 80% of the time is dedicated to practical workshops and 20% to theory. Participants will learn how to leverage the full potential of the Azure Machine Learning platform by working on real examples and use cases.
- Requirements:
- Basic programming knowledge in Python
- Experience working with cloud services will be an additional advantage
- Basic knowledge of machine learning
- Programmers and data engineers who want to expand their skills in machine learning in the Azure cloud
- IT specialists who want to use Azure Machine Learning for automating data processing and predictions
- Data scientists and data analysts wishing to train and deploy ML models in a production environment
- You will learn:
- How to configure and manage the Azure ML Workspace environment
- How to deploy ML models on Azure ML Service and monitor their performance
- How to conduct exploratory data analysis and train ML models using Azure ML Designer and AutoML
- How to integrate ML models with other Azure services, such as Databricks and Cognitive Services
Day 1: Introduction to Azure Machine Learning and Basics
Basics of Azure Machine Learning
Introduction to the Azure ecosystem and its ML services
Configuring the Azure ML Workspace environment
Data Preparation and Exploratory Data Analysis (EDA)
Importing and processing data in Azure
Conducting EDA using tools available in Azure
Training Models in Azure
Introduction to Azure ML Designer
Automating model training using Azure AutoML
Training the First Model
Practical exercises on training a model using a real dataset
Analyzing results and evaluating the model
Day 2: Advanced Techniques and Practical Applications
Advanced Model Training Techniques
Using custom scripts for model training
Using GPU and computing clusters to accelerate training
Deploying and Monitoring Models
Deploying models on Azure ML Service
Monitoring and managing deployed models
Deploying and Optimizing the Model
Practical exercises on model deployment
Model optimization and hyperparameter tuning
16 h/2 days
- Certificate of completion
- Monthly access to the training recording (for online format)
- Customization of the training program to client needs