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Starts 8 June 2025 08:10
Ends 8 June 2025
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Multi-tenant Patterns and Strategies for AI/ML and Generative AI in SaaS
Explore multi-tenant design patterns and strategies for integrating AI/ML and generative AI in SaaS environments, focusing on model mapping, scaling, and tenant-specific customization.
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2544 Courses
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Overview
Explore multi-tenant design patterns and strategies for integrating AI/ML and generative AI in SaaS environments, focusing on model mapping, scaling, and tenant-specific customization.
Syllabus
- Introduction to Multi-Tenancy in SaaS
- Overview of AI/ML and Generative AI in SaaS
- Multi-Tenant AI/ML Design Patterns
- Scaling AI/ML in Multi-Tenant Environments
- Tenant-Specific Customization
- Model Training and Deployment Strategies
- Cost Management and Optimization
- Case Studies and Practical Implementations
- Future Trends and Challenges
- Conclusion and Course Wrap-Up
Definition and Importance of Multi-Tenancy
Key Challenges in Multi-Tenant SaaS Design
Introduction to AI/ML Concepts for SaaS
Generative AI and Its Role in SaaS Applications
Shared vs. Isolated Models
Model Mapping Strategies
Horizontal and Vertical Scaling Techniques
Load Balancing and Resource Management
Personalization and Customization Techniques
Managing Data Privacy and Security
Continuous Training Approaches
Deployment Pipelines for Multi-Tenant Models
Analyzing Costs in Multi-Tenant AI Systems
Cost-Effective Solutions and Optimization Techniques
Review of Industry Examples
Lessons Learned from Successful Implementations
Emerging Trends in Multi-Tenant AI/ML
Preparing for Future Challenges in SaaS AI Design
Recap of Key Concepts
Further Learning and Resources
Subjects
Programming
