MLOps and AI Deployment

Learn to deploy and maintain AI systems in production. Master Docker, Kubernetes, CI/CD, and cloud deployment platforms.

Duration

4 weeks

Level

Advanced

Format

Live Sessions (Cohort-based)

Topics

4 modules

What You'll Learn

Build production-ready ML APIs

Containerize ML applications

Implement CI/CD for ML systems

Deploy models on cloud platforms

Building APIs for models (FastAPI, Flask)

Containerization with Docker & Kubernetes

CI/CD pipelines for ML systems (GitHub Actions, Jenkins)

Cloud deployment (AWS SageMaker, GCP Vertex AI)

Cohort-based live sessions with expert instructors

Live interactive sessions

Learn with peers in cohorts

Hands-on projects & assignments

Certificate of completion

Career support & mentorship

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