1

**Containerization and Orchestration Fundamentals

Description

Deep Dive into Docker and Kubernetes

Available

Learning Objectives

  • Understand the fundamentals
  • Apply practical knowledge
  • Complete hands-on exercises
2

**Advanced Kubernetes Deployment Strategies & CI/CD for ML

Zero Downtime Deployments & Automated Pipelines

Locked

Learning Objectives

  • Understand the fundamentals
  • Apply practical knowledge
  • Complete hands-on exercises
3

**Model Serving Architectures & Scalability

Designing High-Performance Serving Infrastructure

Locked

Learning Objectives

  • Understand the fundamentals
  • Apply practical knowledge
  • Complete hands-on exercises
4

**Monitoring, Logging, and Alerting for ML Systems

Real-time Insight into Model Behavior

Locked

Learning Objectives

  • Understand the fundamentals
  • Apply practical knowledge
  • Complete hands-on exercises
5

**Data Pipelines & Feature Engineering at Scale

Orchestrating Data Flows for Production

Locked

Learning Objectives

  • Understand the fundamentals
  • Apply practical knowledge
  • Complete hands-on exercises
6

**Model Governance & MLOps Practices

Versioning, Reproducibility, and Experiment Tracking

Locked

Learning Objectives

  • Understand the fundamentals
  • Apply practical knowledge
  • Complete hands-on exercises
7

**Security & Compliance in ML Deployment

Protecting Your Production Systems

Locked

Learning Objectives

  • Understand the fundamentals
  • Apply practical knowledge
  • Complete hands-on exercises

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