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

1. Advantages and Disadvantages ofMicrosoft Azure AI

2. Advantages

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

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

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

6. 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

7. Disadvantages

8. Cost Considerations • Bullet Points : • Potentially high costs for extensive use • Complex pricing structure • Need for careful cost management and monitoring

9. Learning Curve • Bullet Points : • Steep learning curve for beginners • Need for specialized knowledge to fully leverage services • Continuous updates requiring ongoing learning

10. 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

11. 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

12. 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@visualpath.in

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