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IITM Pravartak Partners with TCS iON to Launch ML Operations Course

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• Updated on 16 Jun, 2025, 2:50 PM, by KollegeApply

This new industry-aligned online course prepares professionals for future-ready careers in AI, ML & is a significant step towards addressing growing talent demand in the evolving domain of Machine Learning Operations

IITM Pravartak Partners with TCS iON to Launch ML Operations Course

IIT Madras Pravartak Technologies Foundation is partnering with TCS iON to launch of a new online certification program in the fast-evolving field of Machine Learning Operations (MLOps).

 

Titled ‘MLOps – Scalable ML Operations – Associate’, this initiative marks a significant step in bridging the skill gap and aims to prepare professionals for future-ready careers in AI and ML. The potential career opportunities for graduates of this program will be in AI ML, Data Science and Gen AI and LLM.

 

This comprehensive 110-hour online certification program will commence on 15 July 2025, with enrolments currently open. The last date to register is 5July 2025.

 

It is meticulously designed to provide in-depth knowledge of MLOps tools, practices and deployment strategies. Learners can register through the following link - https://www.tcsion.com/hub/iitm-pravartak/scalable-machine-learning-models-operations-associate/

 

TCS iON is a Tata Consultancy Services (TCS) business unit that provides technology-driven solutions for learning, assessments and business processes. It caters to various segments, including educational institutions, manufacturing industries and examination boards.

 

IITM Pravartak Technologies is a Section 8 Company housing the Technology Innovation Hub on Sensors, Networking, Actuators and Control Systems. It is funded by the Department of Science and Technology, Government of India, under its National Mission on Interdisciplinary Cyber-Physical Systems and hosted by IIT Madras

 

The ‘MLOps – Scalable ML Operations – Associate’ Course will provide pathways for a career in several job profiles including:

  • Data Engineer,
  • Machine Learning Operations (MLOps) Engineer (Junior/Associate),
  • MLOps Platform Engineer, and
  • ML Automation Engineer, among others

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