Corporate Microsoft Azure Machine Learning for Data Scientists Training Course

Name: Microsoft Azure Machine Learning for Data Scientists Training
Availability: InStock

Edstellar's Microsoft Azure Machine Learning for Data Scientists instructor-led training course enables teams to drive business and innovation using data insights. The course enables teams to develop and deploy predictive models to solve complex business problems. Empower your team to unlock the power of data science with Microsoft Azure ML.

Duration

32 - 40 hrs

Delivery Type

Instructor-led Group Training
(Virtual / On-site / Off-site)

Training Available in

10 Languages

Multiple Locations

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Looking for multiple trainings? Get a detailed quote for group training

About Learning Outcomes Key Benefits Course Outline Target Audience Training Modes Certificate Trainers Request a Training Quote

Drive Team Excellence with Microsoft Azure Machine Learning for Data Scientists Corporate Training

Microsoft Azure is a cloud-based platform provided by Microsoft that enables data scientists to develop, deploy, and manage machine learning models effectively. It provides advanced analytics tools and algorithms, empowering data scientists to explore data, build predictive models, and extract valuable insights. Microsoft Azure Machine Learning for Data Scientists training ensures that data scientists can streamline their model development process, optimize performance, and drive innovation in their organizations.

The Microsoft Azure Machine Learning for Data Scientists instructor-led training course provided by Edstellar can be customized to meet teams' requirements. The virtual/onsite Microsoft Azure Machine Learning for Data Scientists training course led by expert trainers ensures that professionals gain hands-on experience to tackle any data challenge and stimulate organizational growth.

Get Customized Expert-led Training for Your Teams

Customized Training Delivery

Scale Your Training: Small to Large Teams

In-person Onsite, Live Virtual or Hybrid Training Modes

Plan from 2000+ Industry-ready Training Programs

Experience Hands-On Learning from Industry Experts

Delivery Capability Across 100+ Countries & 10+ Languages

Skills Your Employees Will Gain

These are the core, hands-on capabilities your team builds during the program.

Data Analysis
Data Analysis is the process of inspecting, cleansing, and modeling data to discover useful information. This skill is important for roles like data scientist and business analyst, as it drives informed decision-making and strategy development.
Regression Modeling
Regression Modeling is a statistical technique used to predict outcomes based on relationships between variables. This skill is important for data analysts and data scientists, as it enables informed decision-making and insights from data.
Classification Modeling
Classification Modeling is a statistical technique used to categorize data into predefined classes. This skill is important for data analysts and machine learning engineers, as it enables accurate predictions and informed decision-making.
Clustering Algorithms
Clustering Algorithms group similar data points, revealing patterns and insights. this skill is important for data analysts and machine learning engineers to enhance decision-making.
Model Evaluation
Model Evaluation is the process of assessing a machine learning model's performance using metrics like accuracy and precision. this skill is important for data scientists and machine learning engineers to ensure models are effective and reliable in real-world applications.
Model Optimization
Model Optimization is the process of refining machine learning models to enhance performance and efficiency. This skill is important for data scientists and AI engineers, as it ensures accurate predictions and resource-efficient solutions.

What Your Team Will Achieve After This Training

Analyze data to identify suitable machine learning tasks and techniques
Design and implement regression models to predict continuous variables
Develop classification models for making binary or multi-class predictions
Apply clustering algorithms to discover patterns and group similar data points
Evaluate model performance using appropriate metrics and techniques
Optimize machine learning models to improve accuracy and efficiency
Deploy machine learning models as web services for real-time inference
Interpret model outputs and communicate findings effectively to stakeholders

Topics & Program Outline

The curriculum is organized into focused modules built by industry experts and delivered virtually or on-premise. Interactive sessions reflect the evolving demands of the workplace, keeping the learning both relevant and practical.

Use Automated Machine Learning in Azure Machine Learning

Introduction to Automated Machine Learning
- Understanding Automated Machine Learning (AutoML)
- Benefits of AutoML in Azure Machine Learning
Exploring Azure Machine Learning environment
- Accessing Azure Machine Learning studio
- Setting up Azure Machine Learning workspace
Configuring Automated ML in Azure
- Configuring Automated ML settings
- Selecting compute resources for Automated ML

Create a Regression Model with Azure Machine Learning Designer

Introduction to regression modeling
- Understanding regression analysis
- Use cases for regression modeling
Using Azure Machine Learning designer
- Overview of Azure Machine Learning designer
- Importing datasets and data preprocessing
Building a regression model
- Configuring regression algorithm options
- Training and evaluating the regression model

Classification Model with Azure AI

Introduction to classification modeling
- Understanding classification algorithms
- Applications of classification modeling
Data preparation for classification
- Data preprocessing techniques for classification
- Handling imbalanced datasets
Building and evaluating classification models
- Configuring classification algorithms
- Training, testing, and evaluating the classification model

Clustering Model with Azure AI

Introduction to clustering
- Understanding clustering algorithms
- Use cases for clustering analysis
Preprocessing data for clustering
- Feature scaling and normalization
- Handling missing values for clustering
Building and assessing clustering models
- Configuring clustering algorithms
- Evaluating clustering model performance

Who Should Attend?

This program suits professionals at many levels across the organization, including:

Data Scientists
Machine Learning Engineers
AI Researchers
Data Engineers
Cloud Data Managers
Research Scientists
Analytics Managers
Solution Architects
IT Operations Teams
Data Science Teams
Software Engineers
AI Developers

What are the Prerequisites?

Professionals with a basic understanding of data manipulation and preprocessing techniques, proficiency in programming languages such as Python or R, and experience working with cloud platforms, preferably Microsoft Azure can take up the Microsoft Azure Machine Learning for Data Scientists training course.

Request a Quote for your Corporate Training Requirements

Delivering Training for Organizations across 100 Countries and 10+ Languages

Choose the Format That Fits Your Team

We design training your teams actually engage with, and deliver it the way that suits you best. Through a vetted global trainer network, Edstellar runs sessions in 10+ languages with consistent quality anywhere.

Virtual Microsoft Azure Machine Learning for Data Scientists Training

Virtual / online: expert-led live sessions delivered anywhere, with consistency and easy scheduling.

We deliver anywhere worldwide

Standardized content for consistent outcomes

Join from own workspace, no travel

We scale to large groups across sites

Interactive tools keep remote learners engaged

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On-site Microsoft Azure Machine Learning for Data Scientists Training

On-site (in-house): immersive, instructor-led learning at your office.

Our trainers run face-to-face at your office

We tailor setup/content to your workplace and tools

Group exercises drive collaboration

Live demos + hands-on practice

Direct trainer access to clarify doubts

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Off-site Microsoft Azure Machine Learning for Data Scientists Training

Off-site: focused, instructor-led group learning away from everyday workplace distractions.

We host your teams at a venue of your preferred choice

Built-in group activities for bonding

Full uninterrupted schedule for focus/retention

Boosts morale and signals commitment

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Enquire now

What Sets Edstellar Apart

Experienced Trainers

Our trainers are drawn from a vetted global network and bring years of industry expertise, keeping every session practical and impactful.

Proven Quality

With a strong global track record, Edstellar is known for quality and engaging delivery.

Industry-Relevant Curriculum

Our programs are built by experts to match the demands of today's industry.

Fully Customizable

Every program can be tailored to your organization's goals.

Comprehensive Support

We provide pre- and post-session support for a complete learning experience.

Global Multi-Location & Multilingual Training Delivery

We deliver in multiple languages to support diverse global teams.

Hear from Organizations We've Trained

"Attending the Microsoft Azure Machine Learning for Data Scientists training was transformational for my professional development. As a Principal Big Data Engineer, the deep dive into advanced methodologies gave me the of practical simulations were immediately applicable to my work. I've successfully implemented these advanced techniques in production environments with measurable impact. This course has become foundational to my continued success.”

Pasquale Ferguson

Principal Big Data Engineer,

AI Solutions Platform Provider

"This Microsoft Azure Machine Learning for Data Scientists course was precisely what I needed to design robust strategic implementation architectures. The hands-on approach to hands-on exercises and seamless integration with advanced techniques from this training. This expertise enabled us to secure a transformative contract with a Fortune 100 organization. The comprehensive curriculum has elevated my solution delivery capabilities significantly.”

Juho Nieminen

Principal Analytics Architect,

Intelligent Automation Company

"As a Senior Data Engineer overseeing technical mastery initiatives, the Microsoft Azure Machine Learning for Data Scientists training significantly elevated our team's capabilities. The course expertly covered our operational effectiveness. Our department achieved a remarkable 50% improvement in operational efficiency metrics. Our department has achieved remarkable improvements, demonstrating this course's lasting organizational impact.”

Karim Farouk

Senior Data Engineer,

Predictive Analytics Firm

“Edstellar’s IT & Technical training programs have been instrumental in strengthening our engineering teams and building future-ready capabilities. The hands-on approach, practical cloud scenarios, and expert guidance helped our teams improve technical depth, problem-solving skills, and execution across multiple projects. We’re excited to extend more of these impactful programs to other business units.”

Aditi Rao

L&D Head,

A Global Technology Company

Recognition That Motivates Your Team

Upon successful completion of the training course offered by Edstellar, employees receive a course completion certificate, symbolizing their dedication to ongoing learning and professional development.

This certificate validates the employee's acquired skills and is a powerful motivator, inspiring them to enhance their expertise further and contribute effectively to organizational success.

Corporate Microsoft Azure Machine Learning for Data Scientists Training Course

Drive Team Excellence with Microsoft Azure Machine Learning for Data Scientists Corporate Training

Skills Your Employees Will Gain

What Your Team Will Achieve After This Training

Topics & Program Outline

Use Automated Machine Learning in Azure Machine Learning

Create a Regression Model with Azure Machine Learning Designer

Classification Model with Azure AI

Clustering Model with Azure AI

Who Should Attend?

What are the Prerequisites?

Choose the Format That Fits Your Team

Get a Proposal Shaped to Your Needs

What Sets Edstellar Apart

Experienced Trainers

Proven Quality

Industry-Relevant Curriculum

Fully Customizable

Comprehensive Support

Global Multi-Location & Multilingual Training Delivery

Hear from Organizations We've Trained

Recognition That Motivates Your Team

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