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Program
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Module 1: Foundations of Containerization for AI Applications
Chapter 1: Computing Environments and Containerization Concepts
Chapter 2: Containerization in AI/ML Workflows
Module 2: Docker Fundamentals for AI Applications
Chapter 1: Docker Architecture and Core Operations
Chapter 2: Building Docker Environments for AI Models
Module 3: Multi-Container AI Systems with Docker Compose
Chapter 1: Designing Multi-Service AI Applications
Module 4: Kubernetes Fundamentals for AI Deployment
Chapter 1: Kubernetes Architecture and Core Components
Module 5: Scaling AI Applications with Kubernetes
Chapter 1: Scaling Strategies for AI Workloads
Module 6: Orchestrating AI Applications in Kubernetes
Chapter 1: Kubernetes Workload Management
Chapter 2: Service Management and Model Deployment Strategies
Module 7: CI/CD for AI with Docker and Kubernetes
Chapter 1: Continuous Integration for Containerized AI Systems
Chapter 2: Automated Deployment with Kubernetes Pipelines
Module 8: Security and Monitoring in AI Containerization
Chapter 1: Security Best Practices for AI Containers
Chapter 2: Monitoring and Troubleshooting AI Applications
Module 9: Capstone Project – Deploying an AI Application
Chapter 1: Designing and Containerizing the AI System