16 Weeks
Top Rated Program · 4.9
Duration
Format
Projects
AI-Powered DevOps & MLOps Engineering
Bridge the gap between machine learning development and production deployment. Learn to build robust CI/CD pipelines for AI models, ensuring scalability, monitoring, and automated lifecycle management.
Live Labs + Real-world Scenarios
4 Production Pipelines
Learning Outcomes
- Deploy models to production scale
- Automate ML pipelines
- Implement drift monitoring
Tools & Skills Covered
Docker, Kubernetes, MLflow, GitHub Actions, AWS
Curriculum
Module 1: DevOps Fundamentals for AI
Module 2: Containerization & Orchestration
Module 3: CI/CD for Machine Learning
Module 4: Monitoring & Model Retraining
Instructor
Marcus DevOps - Lead MLOps Engineer at TechGiant with a focus on scalable infrastructure.
Course FAQs
What are the prerequisites? Prior knowledge of basic ML and software engineering is recommended.