100% Free Masterclass
MLOPS MASTERY
Build, Deploy & Scale ML Models with Confidence—Master MLOps Fundamentals, CI/CD, Model Monitoring, AutoML, and Cloud-Native Workflows on AWS & Azure!
60 Minutes
Intensive Learning
Live Q&A Session
Expert Instructors Session
DP-700 Certification Prep
Microsoft Official Certificate
Don’t miss out on this career-transforming session • Limited seats available
Introduction
Building AI & ML models is easy, but deploying them? That feels like a nightmare! If you’ve ever struggled with taking your models from development to production, you’re not alone.
This Comprehensive MLOps webinar will guide you through the seamless integration of machine learning models into real-world applications. Learn how to automate, monitor, and scale AI systems effectively, using essential tools like MLFlow, DVC, Docker, and Flask. Get hands-on experience with the best practices in MLOps and learn how to make your AI models operational in no time!
Why Join This MLOps Webinar?
- Master MLOps tools like MLFlow, DVC, Docker, and Flask to deploy and monitor machine learning models.
- Build a strong MLOps pipeline from model versioning and deployment to real-time monitoring.
- Learn from industry experts with hands-on experience in deploying AI models at scale.
- Gain practical insights into automating AI/ML workflows and ensuring model reliability in production.
- Enhance your career prospects by gaining valuable skills in one of the fastest-growing fields in AI/ML.
What We’ll Cover in This FREE Class
Introduction to MLOps
What is MLOps, and why is it important?
Key benefits: Reproducibility, automation, scalability, and collaboration.
Real-world challenges MLOps solves.
Key MLOps Tools and Technologies
Overview of essential tools like MLFlow, DVC, Docker, and Flask.
Discussing their roles in model versioning, containerization, and deployment.
End to End Pipeline Highlights
Versioning data and models with DVC and MLFlow.
Deploying ML models via APIs with Flask or FastAPI.
Monitoring model performance using Evidently AI.
Key Focus: Deployment and Monitoring
Docker for containerizing models.
APIs for serving models.
Monitoring tools like Evidently AI for drift detection.
Why these steps ensure model reliability in production.
Q&A Session
Interactive discussion to address participant queries and insights.
What you will learn in this MLOps Webinar:
- Understand what MLOps is and why it’s important.
- Explore key tools like MLFlow, DVC, Docker, and Flask for model versioning, containerization, and deployment.
- Learn how to build an end-to-end MLOps pipeline for data versioning, model deployment, and performance monitoring.
- Discover how Docker and APIs help deploy models and monitor performance with tools like Evidently AI.
- Gain insights into detecting model drift and ensuring model reliability in production.
- Participate in an interactive Q&A session to clarify your doubts and get practical tips.
Who Should Attend This MLOps Webinar?
AI/ML Enthusiasts
AI/ML Enthusiasts looking to learn about operationalizing machine learning models.
Data Scientists
Data Scientists wanting to bridge the gap between model development and deployment.
DevOps Engineers
DevOps Engineers interested in integrating MLOps into their workflows for scalable AI systems.
Software Developers
Software Developers aiming to build and deploy scalable AI applications using MLOps tools.
Anyone passionate about mastering MLOps practices
Anyone passionate about mastering MLOps practices and enhancing their AI model deployment skills.
Insights from Our Achievers..
Completely FREE!
Investment: 100% Free
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 MLOps Webinar free?
Yes, the MLOps Webinar is completely free to attend.
What are the prerequisites for attending this webinar?
There is no Prerequisite to attend this webinar. However basic understanding of machine learning concepts and tools would be helpful, but not mandatory. The session is designed for both beginners and professionals.
How long is the webinar?
The webinar will last for approximately 2 hours, including an interactive Q&A session.
Will I receive any certification for attending this webinar?
Currently, no certification is provided for attending the webinar.
Do I need any specific tools or software for the session?
No specific tools or software are required.
Can I ask questions during the session?
Yes, the session includes an interactive Q&A, and you can ask questions throughout the webinar.
Register For FREE LIVE 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!
