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Starts 8 June 2025 22:27
Ends 8 June 2025
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The State of GenAI and ML in the Cloud Native Ecosystem
Explore the current landscape of GenAI & ML in cloud native environments, including trends, challenges, and emerging tools for LLMOps/MLOps workflows, optimization, and AI safety guardrails.
CNCF [Cloud Native Computing Foundation]
via YouTube
CNCF [Cloud Native Computing Foundation]
2544 Courses
23 minutes
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Overview
Explore the current landscape of GenAI & ML in cloud native environments, including trends, challenges, and emerging tools for LLMOps/MLOps workflows, optimization, and AI safety guardrails.
Syllabus
- Introduction to GenAI & ML in Cloud Native Environments
- Current Trends in GenAI and ML
- Cloud Native Tools for GenAI & ML
- LLMOps/MLOps Workflows
- Optimization Strategies
- AI Safety Guardrails
- Challenges in the Cloud Native GenAI & ML Ecosystem
- Future Directions
- Course Summary and Q&A Session
Overview of Cloud Native Architectures
Definitions and Scope of GenAI and ML
Adoption of GenAI and ML in Cloud Native Applications
Innovations in Language Models and Transfer Learning
Overview of Kubernetes and Containerization
Microservices and Serverless Architectures
Emerging Tools and Platforms
Workflow Automation and CI/CD for ML
Model Training, Deployment, and Monitoring
Case Studies and Best Practices
Scalability and Performance Tuning in Cloud Environments
Cost Optimization Techniques
Ethical Considerations in AI Deployment
Implementing Security and Privacy Measures
Bias Detection and Mitigation
Data Management and Governance
Integration with Legacy Systems
Potential Innovations and Disruptive Technologies
Predictions for the Evolution of GenAI and ML in Cloud Native Contexts
Recap of Key Concepts
Open Discussion and Feedback
Subjects
Computer Science
