MLOps Specialization Course Demo
Navigating the Landscape of MLOps & LLMOps: Learn deploy ML & Gen Ai Models to production
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.
Navigating the Landscape of MLOps & LLMOps: Learn deploy ML & Gen Ai Models to production
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