Experiment Tracking with MLflow
Stop losing track of your best model. Learn how MLflow turns chaotic trial-and-error into a reproducible, queryable history of every experiment you've ever run. (MLOPS: ABSOLUTE BEGINNERS TO PRO IN 100 DAYS - DAY 8)
Stop losing track of your best model. Learn how MLflow turns chaotic trial-and-error into a reproducible, queryable history of every experiment you've ever run. (MLOPS: ABSOLUTE BEGINNERS TO PRO IN 100 DAYS - DAY 8)
Consolidate everything from Days 1–6 by building a fully versioned, end-to-end Iris classification project with Git, DVC, and a reproducible pipeline. (MLOPS: ABSOLUTE BEGINNERS TO PRO IN 100 DAYS - DAY 7)
A complete Kubernetes project showing how to deploy, route between, auto-scale, and monitor multiple specialized AI
One OpenAI-compatible endpoint to unify, route, cache, load-balance, and manage requests across multiple LLM providers with built-in failover, rate limiting, and production-ready observability.
Agentic AI for Autonomous Kubernetes Debugging & Self-Healing Infrastructure (Day 30)
Let's Build a Autonomous SRE AI agent (Day 18)
Example: Kubernetes, Terraform, Docker, AWS, MLOps...