MLOps Specialization Course Demo
Navigating the Landscape of MLOps & LLMOps: Learn deploy ML & Gen Ai Models to production
Select date and time
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
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
Yes, Course recorded videos will be sent to all participants. Note: You will have access for 12 Months after this course
All registered participants will get a digital certification copy signed by Instructor from Psitron Technologies Pvt. Ltd
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
90 Hours of Live sessions from Industrial Experts
28 Real-time industrial projects, 50+ Live Hands-on Labs, One-on-One Debugging with Industry Mentors
Organized by
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