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DevOps, AI/ML & Analytics Training in Erode

DevOps, machine learning and data analytics all meet in one place: getting software and models from a laptop into production and measuring what they do. At Training Trains you learn them through internships with real tasks, backed by free learning paths on our internship portal.

For AI, machine learning and analytics, choose AI & Machine Learning or Data Science on the application form. For DevOps, choose Cloud Computing, IoT & Blockchain, where you work with AWS, Google Cloud and Docker basics, and use the DevOps & CI/CD, Docker, Kubernetes and Git learning paths alongside.

Good fit for

What you learn

Cloud and containers

Deploy an application on AWS or Google Cloud and package it with Docker.

CI/CD and Git

Version control, automated builds and the pipeline idea behind DevOps.

Machine learning

Train, evaluate and explain a model in Python with scikit-learn.

Analytics

Clean and analyse real datasets with pandas and SQL and present what you found.

Internship domains

Also available: Cybersecurity & Ethical Hacking, Full Stack Web & Mobile App Development, Digital Marketing & SEO, Ad Maker – Poster, Video & Reels, Social Media & Creative Minds, Powerful Ads Strategies

Durations

10 days15 days1 month3 months6 months

A one-time documentation fee applies, depending on the duration you choose; it is shown when you apply. Call +91 96985 48633 for details.

Where to attend

N.G. Palayam Branch

332 Mullamparappu, N.G. Palayam Post, Erode - 638115

Get directions →

Perundurai Branch

28/8, Sarayakkaran Thottam, Kalliyampudur Road, Perundurai, Erode - 638052

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Online (work from home) is available for students anywhere in Tamil Nadu.

Frequently asked questions

Is DevOps a separate internship domain?+

No. DevOps work is part of the Cloud Computing, IoT & Blockchain domain, with free DevOps, Docker and Kubernetes learning paths alongside.

Which domain is best for AI/ML?+

AI & Machine Learning for models, Data Science for analysis and reporting. Both are taught in Python.

How long should I take?+

1 month or longer, so you have time to build, deploy and evaluate a complete project.

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