MLOps Specialization Course Live Demo
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MLOps Specialization Course Live Demo

Get started with Hands-on Machine Learning Operations (MLOps) using AWS, Azure, GCP & Open-source with real-time projects

By SARATH KUMAR

Select date and time

Wednesday, May 7 · 7:30 - 9:30am PDT

Location

Online

Agenda

MLOps Introduction

Overview of ML and MLOps Stages

Git Essentials for MLOps Practitioners

CI/CD Strategies for AWS, Azure, GCP, and GitHub Actions

Docker and Kubernetes Overview

Kubernetes Deployment Strategy

High-level Overview of Model Management Tools

Feature Store

Deep Dive into MLOps Cloud Services (AWS, Azure & GCP)

Kubeflow Stack and ML Pipeline Development

MLOps for LLM’s (LLMOps) & Gen AI

Understanding Model Monitoring (AWS, Azure & GCP)

Introduction to automl tools

Post-Deployment Challenges

(Self-paced) Other Open-Source/Cloud tools for MLOps [Hands-on]

About this event

  • Event lasts 2 hours

About Program

Looking to start hands-on Machine Learning Operations (MLOps) with a real-time project? As of 2025, MLOps is an essential skill for enterprise ML projects. Despite widespread adoption, only 15% of ML projects succeed in production, highlighting MLOps' role in bridging the gap between development and deployment.

The MLOps market was valued at USD 720 million in 2022 and is projected to reach USD 13.32 billion by 2030, with a CAGR of 43.5%. This rapid growth underscores the demand for MLOps expertise across industries. Mastering MLOps unlocks professional opportunities and enables organizations to turn ML initiatives into real business value.


Who Can Apply for the Course?

  • Data Scientists
  • Data engineers & Data Analysts
  • Research/Applied Scientists
  • ML engineers
  • DevOps engineers
  • Aspiring MLOps Professionals and Enthusiasts
  • Machine Learning professionals who want to deploy models to production
  • Anyone who wants to learn Docker & Kubernetes, AWS, Azure, GCP, DVC, Feast, MLFlow etc
  • Individuals interested in data and AI industry


Hottest Job of 21st Century

The global AI market is projected to surge from $214.6 billion in 2024 to $1.34 trillion by 2030, with a remarkable 35.7% CAGR. Driven by advancements in computational power, data availability, and government investments, AI is transforming industries like healthcare, finance, and retail, propelling businesses toward innovative, efficiency-boosting solutions.


Schedule:

  • 7 PM to 9 PM IST
  • 8:30 AM to 10:30 AM EST
  • 2:30 PM to 4:30 PM CET


What You Will Learn?

  • MLOps Introduction
  • Overview of ML and MLOps Stages
  • Git Essentials for MLOps Practitioners
  • CI/CD Strategies for AWS, Azure, GCP, and GitHub Actions
  • Docker and Kubernetes Overview
  • Kubernetes Deployment Strategy
  • High-level Overview of Model Management Tools
  • Feature Store
  • Deep Dive into MLOps Cloud Services (AWS, Azure & GCP)
  • Kubeflow Stack and ML Pipeline Development
  • MLOps for LLM’s (LLMOps) & Gen AI
  • Understanding Model Monitoring (AWS, Azure & GCP)
  • Introduction to automl tools
  • Post-Deployment Challenges
  • (Self-paced) Other Open-Source/Cloud tools for MLOps [Hands-on]


Take away:

  • Access to recordings (Only for participants)
  • FREE Interview questions
  • FREE MLOps E-books


For more information contact.

Sarathkumar.C

Founder & CEO

Psitron Technologies Pvt. Ltd.

+918940876397 / +918778033930

sarath@psitrontech.com


P.S. - Today, don't play it safe, play it smart.

Frequently asked questions

Whether course recording video will be sent to participants?

Yes, Course recorded videos will be sent to all participants. Note: You will have access for 12 Months after this course

What about Certificate for course?

All registered participants will get a digital certification copy signed by Instructor from Psitron Technologies Pvt. Ltd

Who Can Apply for the Course?

Data Scientist,Data engineers & Data Analysts,Research/Applied Scientists,ML engineers,DevOps engineers,Aspiring MLOps Professionals and Enthusiasts,Machine Learning professionals who want to deploy models to production,Anyone who wants to learn Docker & Kubernetes, AWS, Azure, GCP, DVC, Fea

What's the duration of this course?

90 Hours of Live sessions from Industrial Experts

What about real-time hands-on projects ?

28 Real-time industrial projects, 50+ Live Hands-on Labs, One-on-One Debugging with Industry Mentors

Tags

Organized by

SARATH KUMAR

Data Scientist | Founder- Psitron Technologies |Educator & Mentor

Enabler of Applied Analytics, Data Scientist, Artificial Intelligence, and Deep Learning,MLOps for real business problems

Effective manager, Mentor, trainer, problem solver, and proactive contributor with excellent communication, interpersonal skills, and exposure to managing task forces with result-oriented achievements and project delivery