100% Free Masterclass
MLOps on AWS: Master Machine Learning Operations with AWS Cloud
Join Our FREE Live Class to Learn How to Master MLOps on AWS — No Deep Technical Skills Required!
180 Minutes
Intensive Learning
Live Q&A Session
Expert Instructors Session
Don’t miss out on this career-transforming session • Limited seats available
Introduction
In this free class, you’ll learn how to build and deploy production-ready Machine Learning systems using AWS, even if you’re starting with limited MLOps experience. This interactive webinar will guide you through the proven 3-step MLOps framework used by modern ML teams to automate, deploy, and scale machine learning models in real-world environments.
You’ll discover how MLOps on AWS combines machine learning, DevOps, and cloud automation to help organizations deliver reliable AI solutions faster. Whether you’re a data scientist, ML engineer, DevOps professional, or cloud practitioner, this class will give you the tools to implement end-to-end ML pipelines, automate model deployment, monitor model performance, and manage the ML lifecycle using AWS services like SageMaker, CI/CD pipelines, and cloud automation.
Why You Should Join This FREE Class?
100% Free session designed for ML engineers, data scientists, DevOps professionals, and cloud practitioners looking to build production-ready ML systems.
Learn directly from Atul Kumar, a leader in AI, Data & Cloud with 24+ years of industry experience.
Discover a proven MLOps framework on AWS to build, automate, and manage end-to-end machine learning pipelines.
Agenda for the Session
Introduction to MLOps & Machine Learning Lifecycle on AWS
High-Demand Career Paths in MLOps, ML Engineering & Cloud AI
Essential Skills for MLOps Engineers
Common MLOps Challenges & How to Avoid Them
Q&A
What You Will Learn in the FREE Class
- Why MLOps is critical for the success of machine learning projects in production
- How to set up scalable ML pipelines using AWS SageMaker
- How to automate model deployment and monitoring with AWS Lambda and CodePipeline
- The importance of automated retraining and drift detection with Evidently AI
- Real-world career paths: MLOps Engineer, Machine Learning Engineer, AI Engineer
Who Should Join This Masterclass?
Tech Leaders & Managers
ML Engineers, AI Engineer, MlOps Engineer, DevOps Engineers, AI/ML Architects looking to manage MLOps projects and machine learning infrastructure
IT Professionals & Developers
System Admins, Developers,Data Scientist, Data Engineers who want to expand their skillset into MLOps with AWS
Career Switchers
Professionals aiming to move into high-demand MLOps roles without deep coding knowledge
AI Enthusiasts
Anyone passionate about AI and cloud solutions, eager to upskill for the future of MLOps
Insights from Our Achievers..
Completely FREE!
100% Free, No Cost to Attend
We’re offering you an incredible opportunity to learn from experts and start your journey toward becoming a Microsoft Certified Fabric Data Engineer, without any upfront costs. Don’t miss out on this career-transforming session.
FAQs – Frequently Asked Questions
Is the class free?
Yes, this class is completely free to attend.
What are the prerequisites for attending this class?
There are no prerequisites to attend this class. It is designed for both beginners and professionals. Basic knowledge of machine learning concepts is helpful but not required.
How long is the class?
The class will last approximately 2-3 hours, including an interactive Q&A session.
Will I receive a certificate for attending this class?
Currently, no certification is provided for attending the class.
Do I need any specific tools or software for the class?
No, there are no specific tools or software required.
Can I ask questions during the class?
Yes, the session includes an interactive Q&A, and you can ask questions throughout the webinar.
My 24+ Years of Experience with over 45,000+ trainees
I started my IT career in 2000 as an Oracle DBA/Apps DBA. The first few years were tough (<$100/month), with very little growth.
In 2004, I moved to the UK. After working really hard, I landed a job that paid me £2700 per month.
In February 2005, I saw a job that was £450 per day, which was nearly 4 times of my then salary.
So I looked at training from Oracle for 5 days. In November, I successfully transitioned to Oracle Security & IAM, and my career took off.
Around 2012–13, Cloud, DevOps & Cloud Automation were gaining popularity & there were many job opportunities in these fields.
So, I decided to make a change in my career path, and I transitioned from working on On-premises (Security, Infrastructure & Databases) to focusing on Cloud & DevOps.
Learning Cloud & DevOps gave me the opportunity to work with some of the world’s largest and most prestigious clients.
I then used the same roadmap with 45,000+ individuals (like you) to help them get their dream jobs.
If they can do it, you can do it too!
