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Navigating the Landscape of MLOps & LLMOps

MLOps Specialization Course Demo

MLOps Specialization Course live demo by Psitron Technologies
   

━━ FREE Training:━━ 

Transform Your Skills: Master MLOps on AWS, Azure, GCP and Open-source

15th Aug | 7 PM IST

  • ✓ MLOps Live Demo
  • ✓ Hands-on Labs: Explore Multi-cloud MLOps
  • ✓ Real-world Projects
  • ✓ Personalized Support
  • ✓ Job assistance



100% Hands-on - Mark Your Calendar for an immersive experience!

Curriculum

7:00 PM to 8:00 PM IST | 9:30 AM to 10:30 AM EST | 8:30 AM to 9:30 AM CST

Program Curriculum

  • ✓ Module 1: MLOps Introduction
  • ✓ Module 2: Overview of ML and MLOps Stages
  • ✓ Module 3: Git Essentials for MLOps Practitioners
  • ✓ Module 4: CI/CD Strategies for AWS, Azure, GCP, and GitHub Actions
  • ✓ Module 5: Docker and Kubernetes Overview
  • ✓ Module 6: Kubernetes Deployment Strategy
  • ✓ Module 7: High-level Overview of Model Management Tools
  • ✓ Module 8: Feature Store
  • ✓ Module 9: Deep Dive into MLOps Cloud Services (AWS, Azure & GCP)
  • ✓ Module 10: Kubeflow Stack and ML Pipeline Development
  • ✓ Module 11: MLOps for LLM’s (LLMOps) & Gen AI
  • ✓ Module 12: Understanding Model Monitoring (AWS, Azure & GCP)
  • ✓ Module 13: Introduction to automl tools
  • ✓ Module 14: Post-Deployment Challenges
  • ✓ Module 15: (Self-paced) Other Open-Source/Cloud tools for MLOps [Hands-on]

Tools Covered

MLOps tools covered: AWS, Azure, GCP, Docker, Kubernetes, MLflow, DVC and Kubeflow

Meet Our POWERFUL


Trainer

Sarath Kumar, MLOps trainer and Founder of Psitron Technologies

Sarath Kumar

Data Scientist | Founder - Psitron Technologies | Educator & Mentor Enabler of Applied Analytics, Data Science, Artificial Intelligence (AI), Deep Learning, Generative AI (Gen AI), and MLOps for solving real-world business challenges. Experienced manager, mentor, and trainer with a strong focus on problem-solving and project delivery. Proactive contributor with excellent communication and interpersonal skills, adept at managing task forces and driving results. Passionate about leveraging AI technologies to empower businesses and individuals.

Have a question?

Send your queries to the program trainer



About Program


Hottest Job of the 21st Century

The global AI market surpassed $300 billion in 2025 and is projected to reach $1.81 trillion by 2030, with a remarkable 36.6% CAGR (Grand View Research). Fueled by the Generative AI revolution, enterprise AI adoption, and massive government investments like the US CHIPS Act, AI is transforming industries like healthcare, finance, and manufacturing. With 65% of organizations now regularly using GenAI (McKinsey, 2024) — double the rate from the previous year — the demand for professionals who can operationalize AI has never been higher.

Who Can Apply for the FREE training?

  • ✓ 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
  • ✓ Software Engineers
  • ✓ Individuals interested in data and AI industry


MLOps:The Future of Machine Learning

Looking to start hands-on Machine Learning Operations (MLOps) with a real-time project? As of 2026, MLOps is the most critical skill for enterprise ML projects. While organizations are rapidly adopting AI, only about 54% of ML projects make it to production (Gartner) — and for Generative AI projects, that number drops to just 30-35% (McKinsey). MLOps is the discipline that bridges the gap between development and deployment, turning experiments into business value.

The MLOps market has grown from USD 720 million in 2022 to an estimated USD 3.5 billion in 2025, and is projected to reach USD 13.3 billion by 2030 (MarketsandMarkets), with a CAGR of ~39%. With the rise of LLMOps, AI Agents, and Responsible AI governance (driven by the EU AI Act), demand for MLOps expertise is accelerating faster than ever. Organizations using MLOps platforms see 2-3x higher deployment success rates.

If you are looking to get started with MLOps, you have come to the right place. Our hands-on course will teach you the skills you need to build and deploy ML models in production.

100% Hands-on - Mark Your Calendar for an immersive experience!

Why Cloud ?


Why cloud platforms matter for MLOps

Job opportunities

MLOps is an essential practice that helps organizations manage their machine-learning projects more effectively. It combines machine learning with DevOps practices to create end-to-end pipelines for your models. MLOps is becoming increasingly important as more and more businesses are adopting machine learning to gain a competitive advantage.

The average salary for an MLOps engineer starts from ₹35.9 Lakhs according to 6figr.com.



Average MLOps engineer salary trends

Source:According to a Talent.com & figr.com report, the annual salary

Growing permanent job demand for MLOps engineers

Source:itjobswatch.co.uk Growing Job opportunities

100% Hands-on - Mark Your Calendar for an immersive experience!


Glimpse of our happy participants

Testimonials


Karthick - How KarthicK Secured 6 Offers and a 121% Raise in MLOps.


MLOps Manager Journey - 60% Salary Hike | 2 Job Offers | MLOps Manager Journey | Psitron MLOps Course


Rohit Madasu - Landed an MLOps Engineer Role with a 75% Hike — Just 15 Days After Completing the Course!


Harsha Vardhan Reddy - MLOps engineer says I received 3 different offers for MLOps in just 3 weeks with more than 40% hike.


Nisheeth Jaiswal - Data Scientist from UK


Balasubramanian - What ISRO engineer has to say!


Dipali Matkar - MLOps Engineer - Congratulations on your new job, well deserved!


Sitaram - MLOps Engineer - Congratulations on your new job, well deserved!


Rahul Patil - Congratulations on your new job, well deserved!

Participants Feedback

100% Hands-on - Mark Your Calendar for an immersive experience!

Who is Psitron Technologies? Why should you care?

Psitron Technologies is an IoT and AI company. Our mission at Psitron is to solve global problems with innovative technologies. Psitron has responsibility for developing innovative innovations for addressing current problems in industries, especially in order to improve uptime and reduce downtime of industries and to provide affordable industry 4.0 solutions to increase productivity in industries.

Supported By

Department of science & technology

Incubated in PSG-STEP

NIDHI Entrepreneur-in-Residence

Awards /Honours

FKCCI Bangalore best Startup award 2018

Living Talent, Dubai finalist of international level innovation competition 2018

HILTI International innovation competition finelist.

IoT interThrone winner