What you'll learn
- Understand the full MLOps lifecycle from training to retraining
- Fine-tune Vision Transformers with Hugging Face on AWS
- Prepare S3 datasets for cloud-based model training
- Deploy real-time AWS endpoints for live predictions
- Monitor model confidence and activity with CloudWatch
- Build AWS Pipelines for automated ML workflows
- Connect Lambda, API Gateway, S3 and Bedrock
- Retrain models automatically and gate production deployments
You probably already know that one of the most in-demand skills in the technology workplace right now is being able to train and fine-tune an AI/ML model.
But having the skills to deal with what happens after that is what will actually take you to the next level.
Those skills are building and managing the infrastructure and systems that the AI needs to be deployed, to continually improve, and to scale with a company's needs.
In this MLOps Bootcamp you'll learn exactly those skills!
You'll build the systems that take an AI/ML model from experimentation to a live, continuously improving, production-ready AI application that scales.
You'll fine-tune a Vision Transformer with Hugging Face and SageMaker, deploy it behind a real-time endpoint, capture prediction data and monitor model behavior with CloudWatch.
You'll build real-world skills with Lambda, API Gateway, S3 and Bedrock to collect low-confidence predictions, label new examples and feed them back into an automated retraining workflow.
You'll also build evaluation and deployment gates so a newly trained model doesn't automatically replace the production model just because it's newer. It has to perform better first.
By the end, you'll understand how the pieces of a modern MLOps stack connect and be ready to build the AI infrastructure needed for now and the future.
What Else Should I Know?
By becoming a ZTM member you'll not only get access to all our bootcamp courses, bytes, and projects.
But you’ll also get to join our exclusive live online community classroom to learn alongside thousands of students, alumni, mentors, TAs and Instructors.
Most importantly, you'll be learning from an industry professional (Patrik) that has actual real-world experience as an AI & Machine Learning Engineer. He teaches you the exact strategies and techniques he uses in his role.
Finally, as with all ZTM courses, this course is a living thing. It will be constantly updated as the landscape changes so you can use it as your go-to guide for using Amazon SageMaker now and throughout your career.
Join 1,000s of Zero To Mastery graduates that have gotten hired and are now working at companies like Google, Tesla, Amazon, Apple, IBM, JP Morgan, Facebook, Shopify + other top tech companies.
They come from all different backgrounds, ages, and experiences. Many even started as complete beginners.
So there's no reason it can't be you too.
And you have nothing to lose. Because you can start learning right now and if this course isn't everything you expected, we'll refund you 100% within 30 days. No hassles and no questions asked.
I'm a proud lifetime ZTM member. It's changed the trajectory of my life. The projects I built from ZTM courses made me stand out as the #1 candidate and landed me the job. Thanks to Andrei, Yihua, and the entire ZTM team, instructors, and community.
Who You Will Learn With
You're getting more than just a course
Our instructors, TAs, Mentors, Alumni, and fellow students go above and beyond to help guide you and ensure you're on the right path to achieve your goals. Our private ZTM Discord server is a key factor in taking your skills, confidence and career to the next level.



