Beginner SML-301 ⏱ 8 weeks 📚 11 topics

MLOps Foundations: CI/CD, Monitoring, and Deployment Certification

Learn MLOps from scratch — build CI/CD pipelines for ML models, set up monitoring, and deploy to production. Beginner-friendly, free 8-week course.

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Questions

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Pass Score

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Time Limit

What You'll Demonstrate

  • Set up reproducible ML projects with version control for code, data, and models
  • Build CI/CD pipelines that automatically test and deploy ML models
  • Serve models as production REST APIs with FastAPI and Docker
  • Monitor models in production for data drift and performance degradation
  • Manage model versions using a model registry

Topics Covered by This Exam

1

What is MLOps and Why It Matters

45 minutes

lesson
2

ML Project Structure and Git Workflows

90 minutes

lesson
3

Experiment Tracking with MLflow

120 minutes

lesson
4

Building a CI/CD Pipeline for ML

150 minutes

lesson
5

Containerizing ML Models with Docker

120 minutes

lesson
6

Model Serving: REST APIs and FastAPI

120 minutes

lesson
7

Model Monitoring: Drift and Performance

120 minutes

lesson
8

Feature Stores: What They Are and When to Use Them

90 minutes

lesson
9

Model Registry and Versioning

90 minutes

lesson
10

Kubernetes for ML: Basics

120 minutes

lesson
11

Capstone: End-to-End MLOps Pipeline

360 minutes

project

Adaptive Exam Format

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Progressive Difficulty

Questions advance from Easy → Medium → Hard as you proceed through the exam

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Single & Multi Select

Mix of single-answer and multi-answer questions to assess depth of knowledge

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Randomised Bank

Questions are drawn randomly from a larger question bank — no two exams are the same

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Badge & Certificate

Digital badge and printable certificate issued immediately upon passing