FREE 10-Day MLOps Bootcamp 2026 | Docker, Kubernetes, MLflow | Live Online
Details
FREE 10-Day MLOps Bootcamp 2026 | Live Online | Starts August 26
Ready to build a career in Artificial Intelligence, Machine Learning, and MLOps?
Join our FREE 10-Day Foundational MLOps Bootcamp and learn how modern Machine Learning models are deployed, monitored, automated, and scaled in production environments.
Designed using real U.S. hiring trends, this bootcamp introduces the practical tools, workflows, and engineering practices used by leading technology companies to build reliable AI systems. Throughout the program, you'll gain hands-on experience with Docker, Kubernetes, Git, DVC, MLflow, CI/CD, FastAPI, and model monitoring while understanding the complete Machine Learning Operations lifecycle.
Whether you're a student, software engineer, data scientist, DevOps engineer, or career switcher, this bootcamp provides the perfect starting point for a career in MLOps and AI Infrastructure.
π JOIN HERE
π REGISTER HERE
## π What You'll Learn
Day 1 β Introduction to MLOps & AI Production Systems
Day 2 β Machine Learning Lifecycle & Python for MLOps
Day 3 β Git & Data Version Control (DVC)
Day 4 β Docker for Machine Learning Applications
Day 5 β Building Model APIs using FastAPI
Day 6 β CI/CD Pipelines using GitHub Actions
Day 7 β Kubernetes for Model Deployment
Day 8 β MLflow Experiment Tracking & Model Registry
Day 9 β Model Monitoring, Drift Detection & Alerts
Day 10 β End-to-End MLOps Project & Career Roadmap
## π What You'll Get
β
Live Instructor-Led Training
β
Hands-on Practical Labs
β
Production Deployment Demonstrations
β
Real-World Mini Project
β
Resume Building Guidance
β
LinkedIn Profile Optimization
β
Career Roadmap
β
Mock Interview Preparation
β
Course Completion Certificate
β
Placement Assistance & Job Support
## π― Who Should Join?
β Students
β Freshers
β Machine Learning Engineers
β Data Scientists
β Python Developers
β Software Engineers
β DevOps Engineers
β Cloud Engineers
β IT Professionals
β Career Switchers
## π Technologies Covered
Python
Git
GitHub
Data Version Control (DVC)
Docker
FastAPI
Flask
GitHub Actions
CI/CD Pipelines
Kubernetes
MLflow
Model Registry
REST APIs
Model Deployment
Model Monitoring
AWS Fundamentals
Azure Fundamentals
Cloud Deployment
## π Why Learn MLOps?
Modern AI applications don't stop at training modelsβthey need reliable deployment, automation, monitoring, scalability, and continuous improvement.
MLOps combines Machine Learning, DevOps, and Cloud Engineering to make AI systems production-ready.
This bootcamp provides the practical skills needed to understand today's AI infrastructure and prepares you for advanced MLOps learning.
## π Program Details
Program Start Date: August 25, 2026
Morning Batch (EST):
10:30 AM β 12:30 PM
Evening Batch (EST):
8:30 PM β 10:30 PM
Mode:
100% Live Online
Duration:
10 Days
## β οΈ Important Notice
Joining the WhatsApp group is mandatory to confirm your registration and receive all session updates, assignments, learning resources, reminders, and live class links.
Only participants who join the WhatsApp group will receive access to the live sessions.
This bootcamp is specially designed for learners currently residing in the United States, United Kingdom, Australia, and Switzerland.
Seats are limited.
Reserve your free seat today.
π Start your journey toward becoming an MLOps Engineer, AI Infrastructure Engineer, or Machine Learning Engineer.
π www.codingmacaw.com
Contact:
+1 (914) 224-3681
+1 (914) 224-3195
+1 (347) 794-0336
+1 (347) 928-9911
