Simplify, Speed and Improve Development with DevOps

Overview

Explore DevOps practices for AI and ML projects, including Agile, CI/CD, and tools like GitHub and Azure DevOps. Learn to streamline development processes and enhance project efficiency.

Syllabus

• Introduction to DevOps for AI and ML
Overview of DevOps principles
Importance of DevOps in AI/ML projects
Benefits of integrating DevOps with AI/ML
• Agile Methodologies in AI/ML
Fundamentals of Agile practices
Adapting Agile for AI/ML projects
Case studies: Agile in AI/ML development
• Continuous Integration (CI) in AI/ML
Understanding CI concepts
CI pipelines for AI/ML workflows
Tools and technologies: Jenkins, GitHub Actions
• Continuous Delivery (CD) in AI/ML
CD practices and benefits
Building and deploying AI models using CD
Automating deployments with Azure DevOps
• Source Control and Collaboration
Effective use of Git and GitHub
Code review and collaboration practices
Managing ML model versions
• Infrastructure as Code (IaC)
Introduction to IaC concepts
Tools for IaC: Terraform, Azure Resource Manager
Automating AI infrastructure setup
• Monitoring and Logging in AI/ML Projects
Importance of monitoring AI applications
Tools for logging and monitoring: Prometheus, Grafana
Custom metrics for AI/ML model performance
• Security and Compliance in DevOps for AI/ML
Integrating security into AI/ML pipelines
Compliance standards for AI/ML projects
Data protection and privacy considerations
• Scaling DevOps for Large AI/ML Projects
Scaling CI/CD pipelines
Managing large datasets and models
Best practices for scalable AI/ML deployments
• Case Studies and Best Practices
Real-world examples of DevOps in AI/ML
Success stories and lessons learned
Key takeaways for effective DevOps implementation
• Future Trends in DevOps for AI/ML
Emerging tools and technologies
Evolving practices in AI/ML development
Preparing for future DevOps challenges in AI/ML
• Course Review and Final Assessment
Recap of key concepts
Final project or exam
Feedback and course evaluation

Subjects

Conference Talks