Introduction to Cloud Platforms for MLOps
Overview of AWS, GCP, and Azure ML services. (MLOPS: ABSOLUTE BEGINNERS TO PRO IN 100 DAYS - DAY 17)
100 Days of MLOps23
This roadmap takes you from zero MLOps knowledge to a production-ready ML engineer capable of building, deploying, monitoring, and automating end-to-end machine learning pipelines. You will master tools like MLflow, Docker, Kubernetes, Kubeflow, and cloud ML platforms while applying best practices in CI/CD, model governance, and observability. By Day 100, you will be able to design and operate scalable, reliable ML and LLM systems in real-world environments.
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Serving Models with MLflow Models Serve
Move from experimentation to production by spinning up a REST API for your trained model with a single MLflow command. Learn mlflow models serve, model signatures, input schemas, and how to send real-time predictions. (MLOPS: ABSOLUTE BEGINNERS TO PRO IN 100 DAYS - DAY 16)
Model Serving Fundamentals & REST APIs
A trained model sitting in a .pkl file helps nobody. Today your iris classifier gets a front door: a REST API that any application, in any language, can call over HTTP. (MLOPS: ABSOLUTE BEGINNERS TO PRO IN 100 DAYS - DAY 15)
Review Week 2 & The Containerized ML Experiment Workflow
Two weeks in, you have all the pieces: Git and DVC for versioning, MLflow for tracking, and Docker for reproducible environments. A single docker compose up that spins up a tracking server, runs a versioned experiment, and logs every result. (MLOPS: ABSOLUTE BEGINNERS TO PRO IN 100 DAYS - DAY 14)
Docker Compose for Multi-Service ML Environments
Stop running MLflow and your training script in separate terminals. Today you'll wire them together with Docker Compose , one command, a full local ML platform, ready to log every experiment automatically. (MLOPS: ABSOLUTE BEGINNERS TO PRO IN 100 DAYS - DAY 13)
Writing Production-Grade Dockerfiles for ML
Multi-stage builds, .dockerignore hygiene, layer caching, and dependency pinning , the engineering discipline that separates a "it works" image from one you'd actually ship to production. (MLOPS: ABSOLUTE BEGINNERS TO PRO IN 100 DAYS - DAY 12)