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Free Live MLOps Bootcamp 2026 | Online
Automationai-agentsllm-apps

Free Live MLOps Bootcamp 2026 | Online

31 Aug 2026 - 04 Sep 202610:30 AM - 8:30 PM GMT+00:00OnlineOpen

Description

Build practical MLOps foundations in this free, live online bootcamp running from 31 August to 4 September 2026 for eligible international learners. Coding Macaw Bootcamp’s instructor-led programme explores how machine learning models move beyond experimentation into reliable production systems. Rather than focusing only on model training, the sessions cover the deployment, automation, monitoring and scaling practices behind modern AI infrastructure. ## What you’ll learn The event page describes a five-day bootcamp and lists ten curriculum modules spanning the complete MLOps lifecycle: - MLOps fundamentals and AI production systems - The machine learning lifecycle and Python for MLOps - Git, GitHub and Data Version Control (DVC) - Docker for machine learning applications - Building REST model APIs with FastAPI - CI/CD pipelines using GitHub Actions - Kubernetes-based model deployment - MLflow experiment tracking and model registries - Model monitoring, drift detection and alerts - An end-to-end MLOps project and career roadmap AWS and Azure fundamentals, Flask, cloud deployment and production deployment workflows also appear among the technologies covered. ## Format and outcomes This is a 100% live online, instructor-led programme with practical labs, deployment demonstrations and a real-world mini project. The organiser also advertises a completion certificate, placement assistance and job support, alongside career-focused guidance including: - Resume development and LinkedIn profile optimisation - Mock interview preparation - A roadmap towards MLOps, AI infrastructure and machine learning engineering roles Two EST batches are listed: a morning session from 10:30am–12:30pm and an evening session from 8:30pm–10:30pm. Attendees should confirm their assigned schedule when registering. ## Who should attend? The bootcamp is positioned as a foundation-level starting point for students, fresh graduates and career switchers, as well as machine learning engineers, data scientists, Python developers, software engineers, DevOps engineers, cloud engineers and other IT professionals. It is specifically intended for learners currently residing in the United States, United Kingdom, Australia or Switzerland.… Register for this event

Tools that will be used in events

docker

github

kubernetes

mlflow

fastapi

flask

python

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# Automation# ai-agents# llm-apps

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