The Best Azure AI-102 Training Institute in Hyderabad

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Azure Machine Learning (AML)
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Key Features of AML

• Title
• Core Features of Azure Machine Learning
• Content
• Automated ML, drag-and-drop designer,
  model training, ML Ops, and integration with
  other Azure services.

3
AML Workspace

• Title
• Understanding the AML Workspace
• Content
• Overview of the workspace structure,
  including datasets, experiments, pipelines, and
  models.

4
Data Preparation

• Title
• Data Preparation in AML
• Content
• Tools and techniques for data cleaning,
  transformation, and feature engineering within
  AML.

5
Building and Training Models

• Title
• Model Building and Training
• Content
• Options for building models using
  Automated ML, the designer, or custom code
  (Python, R).

6
Model Deployment

• Title
• Deploying Models with AML
• Content
• Steps to deploy models as web services,
  A/B testing, and scaling in production.

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ML Ops and CI/CD

• Title
• Implementing ML Ops in AML
• Content
• Continuous integration and delivery
  (CI/CD) for machine learning models using Azure
  DevOps.

8
Monitoring and Management

• Title
• Monitoring and Managing Models
• Content
• Tools for monitoring model performance,
  drift detection, and retraining in AML.

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Use Cases and Applications

• Title
• Real-World Applications of AML
• Content
• Examples of how organizations use AML for
  predictive analytics, personalized
  recommendations, and more.

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CONTACT

• Azure AI - 102
• Address- Flat no 205, 2nd Floor,
• Nigari Block, Aditya Enclave,
• Ameer pet, Hyderabad-1 
• Ph. No 91-9989971070 
• Visit www.visualpath.in 
• E-Mail online_at_visualpath.in

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THANK YOU
Visit www.visualpath.in