AI-102 Microsoft Azure AI Training | Azure AI Engineer Training

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Advantages and Disadvantages ofMicrosoft Azure AI
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Advantages
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Introduction

• What is Microsoft Azure AI?
• Brief introduction to Microsoft Azure AI
• Mention its key components
• Cognitive Services, Machine Learning, and Azure
  Bot Services

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Comprehensive AI Services

• Bullet Points
• Wide range of AI services and tools
• Integration with other Azure services
• Pre-trained models and custom model creation

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Scalability and Flexibility

• Bullet Points
• Scalable infrastructure to handle varying
  workloads
• Flexibility in choosing different tools and
  services
• Pay-as-you-go pricing model

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Robust Security and Compliance

• Bullet Points
• Advanced security features (e.g., encryption,
  threat detection)
• Compliance with various industry standards (e.g.,
  GDPR, HIPAA)
• Regular security updates and monitoring

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Disadvantages
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Cost Considerations

• Bullet Points
• Potentially high costs for extensive use
• Complex pricing structure
• Need for careful cost management and monitoring

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Learning Curve

• Bullet Points
• Steep learning curve for beginners
• Need for specialized knowledge to fully leverage
  services
• Continuous updates requiring ongoing learning

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Dependency on Internet and Cloud

• Bullet Points
• Reliance on stable internet connection
• Possible latency issues for real-time
  applications
• Concerns about data sovereignty and vendor
  lock-in

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Conclusion

• Summary of Key Points
• Recap of major advantages and disadvantages
• Final thoughts on when to use Microsoft Azure AI
• Encouragement to assess based on specific needs
  and scenarios

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CONTACT

• Azure AI-102
• Address- Flat no 205, 2nd Floor,
• Nilgiri Block, Aditya Enclave,
• Ameerpet, 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