The MLOps Training Program equips professionals with the essential skills to build, deploy, and manage machine learning models in production environments. Whether you're a data scientist, ML engineer, or software developer, this course provides a comprehensive guide to operationalizing machine learning workflows effectively.MLOps Training Program integrates theoretical concepts with hands-on practice to teach you the foundations of machine learning operations. You’ll learn how to automate ML pipelines, monitor models, and ensure reliability in AI-driven applications.

What You’ll Learn:

• Introduction to MLOps: Understand the need for MLOps and its role in ML model lifecycle management.

• Model Development & Versioning: Learn best practices for training, testing, and versioning models.

• Continuous Integration & Deployment (CI/CD) for ML: Implement automated pipelines for ML models.

• Model Monitoring & Performance Optimization: Track model drift, retrain models, and ensure performance.

• Infrastructure & Cloud Deployment: Learn how to deploy ML models on cloud platforms like AWS, GCP, and Azure.

• Security & Compliance in MLOps: Ensure your ML models adhere to best security practices and regulatory guidelines.

About the Instructor:

Srinivasan Ramanujam is a distinguished entrepreneur, consultant, and subject matter expert (SME) in Artificial Intelligence (AI) and Machine Learning (ML), boasting over 23 years of experience with global industry leaders such as TCS, Accenture, Infosys, Thomson Reuters, and IBM. He has trained over 30,000 students and 500+ Faculties across India and abroad. As the founder and driving force behind multiple AI-focused ventures, Srinivasan is dedicated to revolutionizing AI education, research, and application development, nurturing the next generation of AI innovators through hands-on, real-world experiences

Discover Your Future with Us

Join our course and unlock new opportunities for personal and professional growth, tailored to meet your needs and help you excel in today's competitive landscape.

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Course Features

A structured approach covering MLOps fundamentals to advanced techniques

Expert Insights

Learn directly from renowned AI specialist Srinivasan Ramanujam with real-world experience.

Hands-On Projects

Work on industry-relevant projects to build practical skills and a professional portfolio.

Cutting-Edge Tools

Gain hands-on experience with Docker, Kubernetes, MLflow, TensorFlow, and CI/CD frameworks.

Key Highlights of Agentic AI Course

Gain mentorship from Srinivasan Ramanujam, an expert in MLOps, AI, and machine learning

Live interactive sessions

Engage in Q&A sessions, discussions, and mentorship directly with the instructor

Placement support

Capstone Project

Continue receiving mentorship, career advice, and job referrals

Work on practical projects, from ML pipelines to cloud-based model deployment

Frequently asked questions

1. Who is this course for?

This course is ideal for data scientists, ML engineers, DevOps professionals, and software developers looking to enhance their MLOps skills

2. Are there prerequisites?

Basic knowledge of machine learning and programming (Python) is recommended but not mandatory

3. How is the course delivered?

The course is fully live with instructor-led sessions, live webinars, and interactive Q&A discussions

4. Will I get a certificate after completing the course?

Yes, you will receive an industry-recognized certificate upon successful completion of the course and projects.

4. What kind of projects will I work on?

You’ll work on projects such as automating ML pipelines, deploying models with Kubernetes, setting up CI/CD, and a final capstone project.