Applied AI
MLOps & LLMOps
Model deployment, experiment tracking, monitoring, inference optimisation and AI pipelines
Skills in this topic
5 skills — Sign in to track your progress
Experiment Tracking
beginner
Log experiments with MLflow or Weights & Biases
Model Deployment
intermediate
Wrap a model in a FastAPI endpoint
Model Monitoring
intermediate
Set up drift detection with Evidently AI
Feature Stores
advanced
Define feature views in Feast
LLMOps
advanced
Set up LangSmith or Langfuse for LLM tracing
Medium · DevOps
🏭 MLOps & LLMOps
⚡ AI Lesson
2w ago
Your Model Is Ready. Your Release Path Is Still a Ritual
Originally published on TruFyre. Continue reading on Medium »
Medium · Machine Learning
🏭 MLOps & LLMOps
⚡ AI Lesson
3w ago
MLOPS LIFE CYCLE
MLOps, short for machine learning operations, is a set of practice employed to make machine learning model development deployable, usable… Continue reading on M
Medium · DevOps
🏭 MLOps & LLMOps
⚡ AI Lesson
3w ago
MLOPS LIFE CYCLE
MLOps, short for machine learning operations, is a set of practice employed to make machine learning model development deployable, usable… Continue reading on M
Medium · Machine Learning
🏭 MLOps & LLMOps
⚡ AI Lesson
3w ago
Production'da ML Modeli Öldüğünde Kim Fark Eder? — Drift Tespiti ve Otomatik Retrain Pipeline'ı
PSI + KS testleri, FastAPI, Prometheus, MLflow ve auto-retrain ile uçtan uca mini MLOps mimarisi Continue reading on Medium »
Medium · Machine Learning
🏭 MLOps & LLMOps
⚡ AI Lesson
4w ago
MLOps from Zero: How ML Models Reach and Stay in Production
Training a machine-learning model is only the beginning. The real challenge is getting it into the real world, keeping it reliable, and… Continue reading on Med
Medium · Machine Learning
🏭 MLOps & LLMOps
⚡ AI Lesson
1mo ago
The MLOps Adventure Continues: An AGENTS.md Ready Stack for AI/ML
AI coding agents are the first contributors that read your entire repository and run shell commands non-interactively on day one. But… Continue reading on Mediu
Medium · Data Science
🏭 MLOps & LLMOps
⚡ AI Lesson
1mo ago
The MLOps Adventure Continues: An AGENTS.md Ready Stack for AI/ML
AI coding agents are the first contributors that read your entire repository and run shell commands non-interactively on day one. But… Continue reading on Mediu
Medium · Machine Learning
🏭 MLOps & LLMOps
1mo ago
When Your Data Pipeline Starts Thinking: AI Agents Meet Data Engineering
Data pipelines have always been dumb by design — do exactly this, in exactly this order, and scream if anything moves. In 2026, teams are… Continue reading on M
Medium · LLM
🏭 MLOps & LLMOps
1mo ago
10 Free AI & LLM Courses I’d Actually Recommend in 2026
From LLM fundamentals and open-source models to RAG, fine-tuning, AI agents, MCP, and production AI systems, these are the courses worth… Continue reading on Le
Reddit r/singularity
🏭 MLOps & LLMOps
1mo ago
Meta will soon release the weights for Muse Spark 1.2, their latest foundation model.
submitted by <a href
Medium · Data Science
🏭 MLOps & LLMOps
1mo ago
The Complete Machine Learning Lifecycle: From Business Problem to Business Value
Building a machine learning model is only one part of the journey. Here’s how real-world ML projects move from a business challenge to… Continue reading on Medi
Medium · Data Science
🏭 MLOps & LLMOps
1mo ago
Building the Payment Rails for the AI-Agent Economy: An Introduction to AXON
Continue reading on Medium »
Medium · Data Science
🏭 MLOps & LLMOps
1mo ago
**GREEN RECURSIVE UTILITY SERVICE LLC**
Technical Report GRUS-TR-2026-004
Continue reading on Medium »
Medium · Data Science
🏭 MLOps & LLMOps
⚡ AI Lesson
1mo ago
Kubernetes Objects for MLOps: From Pods to Production Deployments
How Deployments, Services, Jobs, configuration, storage, autoscaling, and scheduling turn a containerized model into a production service. Continue reading on T
Medium · Python
🏭 MLOps & LLMOps
⚡ AI Lesson
1mo ago
From Notebooks to Production: My Journey Masterclass in MLOps, APIs, and Deployment
When I first started out in data science, I spent almost all my time inside Jupyter Notebooks (.ipynb). I would tune hyperparameters, plot… Continue reading on
Medium · Data Science
🏭 MLOps & LLMOps
1mo ago
The Data Odyssey: Surviving the Machine Learning Lifecycle
Continue reading on Medium »
Medium · DevOps
🏭 MLOps & LLMOps
⚡ AI Lesson
1mo ago
Your AI Is “In Production.” That Doesn’t Mean It’s Production-Ready.
A working draft framework that asks one hard question — and refuses to answer with a vanity percentage. Continue reading on Medium »
Medium · Python
🏭 MLOps & LLMOps
⚡ AI Lesson
1mo ago
MLOps Course | MLOps Training in Hyderabad
Why Is MLOps Essential for Scaling Machine Learning Projects? Continue reading on Medium »
Medium · Data Science
🏭 MLOps & LLMOps
⚡ AI Lesson
1mo ago
MLOps Pipeline’ı: Versiyon Takibinden CI/CD’ye
MLOps Serisi — Yazı 2/4 Continue reading on Medium »
Medium · Data Science
🏭 MLOps & LLMOps
1mo ago
Designing a Point-in-Time Backtest You Can Actually Trust
Continue reading on Medium »
Medium · Data Science
🏭 MLOps & LLMOps
1mo ago
A 27B AI Model Ran on an iPhone. Here’s What Survived Compression.
Bonsai 27B shrank from 54 GB to 3.9 GB while keeping math and coding surprisingly strong — but tool use and instruction following took a… Continue reading on Da
Medium · DevOps
🏭 MLOps & LLMOps
⚡ AI Lesson
2mo ago
AIOps Course Online | MLOps Online Training
What Skills Do You Need for MLOps and AIOps Careers in 2026? Continue reading on Medium »
Medium · Machine Learning
🏭 MLOps & LLMOps
⚡ AI Lesson
2mo ago
Building a self-healing MLOps pipeline on AWS: from raw data to a model that fixes itself
Why most ML models die quietly in production Continue reading on Medium »
Medium · DevOps
🏭 MLOps & LLMOps
⚡ AI Lesson
2mo ago
Building a self-healing MLOps pipeline on AWS: from raw data to a model that fixes itself
Why most ML models die quietly in production Continue reading on Medium »
Medium · Data Science
🏭 MLOps & LLMOps
2mo ago
I Test-Drove Kimi K3 on Real Data Problems
Continue reading on Medium »
Medium · Data Science
🏭 MLOps & LLMOps
2mo ago
Mastering Data Summarization with Microsoft 365 Copilot in Excel
By: Asfand Gul Kasi Continue reading on Medium »
Medium · DevOps
🏭 MLOps & LLMOps
⚡ AI Lesson
2mo ago
MLOps vs DevOps: What’s the Real Difference in 2026?
If you’ve spent any time around software teams or AI teams in the last couple of years, you’ve probably heard both words thrown around… Continue reading on Medi
Medium · Deep Learning
🏭 MLOps & LLMOps
⚡ AI Lesson
2mo ago
Beyond “It Worked on My Machine”: The Three Pillars of Modern MLOps
Every machine learning engineer knows the feeling. You spent three days tweaking a model, achieved state-of-the-art results on your local… Continue reading on M
Medium · RAG
🏭 MLOps & LLMOps
⚡ AI Lesson
2mo ago
Langfuse from Zero to Production: Tracing, Prompt Versioning, and Evals in One Stack
A complete open-source LLMOps setup you can self-host in an afternoon with Docker Compose. Continue reading on Towards AI »
Medium · Python
🏭 MLOps & LLMOps
⚡ AI Lesson
2mo ago
Building a Production-Ready MLOps System from Scratch
Vehicle inventory management and sentiment analysis, unified into a single deployable system with Docker, MLflow, Prometheus, Grafana, and… Continue reading on
Reddit r/devops
🏭 MLOps & LLMOps
⚡ AI Lesson
2mo ago
Article: Model caching for AI workloads on GKE/Kubernetes without re-downloading weights
The basic idea is to use node-local storage as a shared model cache so new inference pods can reuse existing weights. It significantly reduces startup time and
Medium · Machine Learning
🏭 MLOps & LLMOps
⚡ AI Lesson
2mo ago
Building a Self-Updating ML System: CI/CD, Deployment, and Everything That Broke Along the Way
A technical deep dive into Project 7 of my MLOps portfolio, an automated pipeline that retrains, evaluates, and redeploys a model with… Continue reading on Medi
Medium · Deep Learning
🏭 MLOps & LLMOps
⚡ AI Lesson
2mo ago
Building a Self-Updating ML System: CI/CD, Deployment, and Everything That Broke Along the Way
A technical deep dive into Project 7 of my MLOps portfolio, an automated pipeline that retrains, evaluates, and redeploys a model with… Continue reading on Medi
Medium · LLM
🏭 MLOps & LLMOps
⚡ AI Lesson
2mo ago
The MLOps Guide to Cloud-Native Model Serving and Autoscaling on Kubernetes
Deploy production-grade model endpoints with request-based autoscaling and zero-downtime canary updates. Continue reading on Medium »
Medium · DevOps
🏭 MLOps & LLMOps
⚡ AI Lesson
2mo ago
Building HomeValue AI Project
Build a Complete Enterprise MLOps Platform from Scratch Continue reading on Medium »
Medium · Machine Learning
🏭 MLOps & LLMOps
⚡ AI Lesson
2mo ago
The model alone won’t make the cut
Notes from an engineer building around models Continue reading on Medium »
Reddit r/devops
🏭 MLOps & LLMOps
⚡ AI Lesson
2mo ago
Patch Tuesday MCP
I built an open-source MCP server for Microsoft Patch Tuesday that lets AI assistants like Claude, Copilot, ChatGPT, and more answer patch questions directly fr
Medium · DevOps
🏭 MLOps & LLMOps
⚡ AI Lesson
2mo ago
Your AI App Works in Demo but Fails in Production — Here Are the 7 Missing Pieces
Prefer to watch? The full video version is above. This is the reference-doc edition. Continue reading on Medium »
Medium · Python
🏭 MLOps & LLMOps
⚡ AI Lesson
2mo ago
I Taught Myself MLOps By Breaking My Own Notebook Until It Became a Production System
What actually separates “I trained a model” from “I can ship one” — and the free guide I built to close that gap Continue reading on Medium »
Medium · Data Science
🏭 MLOps & LLMOps
2mo ago
Watching LLMs Think: LangSmith, Langfuse, and the Rise of LLMOps
Continue reading on Medium »
Medium · DevOps
🏭 MLOps & LLMOps
2mo ago
Watching LLMs Think: LangSmith, Langfuse, and the Rise of LLMOps
Continue reading on Medium »
Medium · Machine Learning
🏭 MLOps & LLMOps
⚡ AI Lesson
2mo ago
The MCP Ecosystem in Mid 2026: Which Servers Are Actually Worth Adding to Your Stack
13,000 options. Here is how to pick the right ones. Continue reading on Medium »
Medium · Machine Learning
🏭 MLOps & LLMOps
⚡ AI Lesson
2mo ago
Engineering Mindset — Stitching MLOps Together in One Modular Python Project
The notebook is where ML is born. A modular Python project — with DVC, MLflow, and FastAPI stitched in — is where it grows up. Continue reading on Medium »
Medium · DevOps
🏭 MLOps & LLMOps
⚡ AI Lesson
2mo ago
MLOps, Explained From First Principles
A conceptual introduction to operating machine learning systems — without tying it to any particular platform. Continue reading on Medium »
Medium · LLM
🏭 MLOps & LLMOps
⚡ AI Lesson
2mo ago
What production teaches you about deploying ai platforms
If you have ever shipped a modern application stack to a real cluster-a web UI, an API, background workers, a search engine, object… Continue reading on Medium
Medium · DevOps
🏭 MLOps & LLMOps
⚡ AI Lesson
2mo ago
The Inference Stack Explained vLLM, KServe, llm-d, and the New DevOps Job of Serving AI Models
There is a new item on the DevOps job description in 2026, and most job postings have not caught up to naming it properly yet. It usually… Continue reading on M
Medium · Data Science
🏭 MLOps & LLMOps
⚡ AI Lesson
2mo ago
Beyond model.predict(): Building a Live MLOps Pipeline on Real Clinical Data (Honest AUC Included)
How to architect a resilient, production-ready healthcare monitoring system using FastAPI, Streamlit, Evidently AI, Prometheus, Docker, and… Continue reading on
Medium · Data Science
🏭 MLOps & LLMOps
2mo ago
How to Build a Machine Learning Pipeline With MLOps in 2026
You’ve cleaned the data. You’ve trained a model in a notebook. It even performs well on your test set. And then, nothing happens. The… Continue reading on Mediu
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