AI-102 Microsoft Azure AI Training - Azure AI Engineer Training
                     Advantages  and  Diisadvantages  of
Microsoft Azure AI
Advantages
Introduction
• What is Microsoft Azure AI?
• Brief introduction to Microsoft Azure AI
• Mention its key components: 
• Cognitive Services, Machine Learning, and Azure Bot 
Services
Comprehensive AI 
Services
• Bullet Points :
• Wide range of AI services and tools
• Integration with other Azure services
• Pre-trained models and custom model creation
Scalability and Flexibility
• Bullet Points :
• Scalable infrastructure to handle varying workloads
• Flexibility in choosing different tools and services
• Pay-as-you-go pricing model
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
Disadvantages
Cost Considerations
• Bullet Points :
• Potentially high costs for extensive use
• Complex pricing structure
• Need for careful cost management and 
monitoring
Learning Curve
• Bullet Points :
• Steep learning curve for beginners
• Need for specialized knowledge to fully 
leverage services
• Continuous updates requiring ongoing learning
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
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
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: [email protected]
THANK YOU
Visit: www.visualpath.in