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MLOps Training in Hyderabad (Live Online)

Take machine learning models from notebook to production: data and model versioning, training pipelines, model serving, monitoring and drift, with live online classes in evening and weekend batches (IST).

12 Weeksduration
Liveonline classes
98hours
₹34,999fee · save up to 15%

Course fee ₹34,999 incl. GST. Save up to 15%: from ₹29,740. Ask an advisor about the offer for your batch.

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India time (IST)

Recordings shared for revision · we reply within one working day with the start date and fee

How live online classes work

  • Live video classes with a working engineer, with session recordings shared for revision
  • Hands-on labs on cloud accounts you can reach from anywhere
  • 1:1 mentoring sessions booked at a time that suits you
  • Fees in Indian rupees (INR); we share the payment options when you enrol

Jobs and certifications in Hyderabad

Roles you can apply for

  • MLOps Engineer
  • ML Platform Engineer
  • Machine Learning Engineer (deployment focus)

Certifications employers ask for

  • AWS Certified Machine Learning Engineer – Associate (MLA-C02)
  • Microsoft Azure MLOps Engineer Associate (AI-300)
  • Certified Kubernetes Administrator (CKA), optional

Hyderabad's global capability centres and product companies in HITEC City and Gachibowli are growing their AI teams, so GenAI, RAG, agent and MLOps skills are in high demand.

What you'll learn

9 modules · 98 hours · hands-on labs in every module

  1. Python fundamentals12 hrs
  2. Git & GitHub6 hrs
  3. Docker & containers10 hrs
  4. Machine learning14 hrs
  5. MLOps14 hrs
  6. Kubernetes core16 hrs
  7. CI/CD pipelines12 hrs
  8. LLMOps8 hrs
  9. Career launch6 hrs

See every lesson and lab in the full syllabus →

Projects you'll build

PROJECT 01

Deploy a production-style app with Helm

Hands-on project from the Kubernetes core module.

PROJECT 02

Pipeline that tests, builds and deploys on every push

Hands-on project from the CI/CD pipelines module.

PROJECT 03

Evaluation harness that scores every release

Hands-on project from the LLMOps module.

FAQ

Do I need machine learning knowledge?+
Python and basic ML concepts help. The focus is on the engineering and operations around models.
Which tools will I use?+
Open-source MLOps tools plus cloud services; the full syllabus lists the current tools.
Are the classes live or recorded?+
Live with a trainer. Session recordings are shared with you for revision, so you can catch up if you miss a class.
Is there a classroom option?+
Classroom batches run at our Arumbakkam centre in Chennai. Everywhere else, classes are live online.
What are the fees?+
Fees depend on the course and batch. Ask an advisor for the current fee and any offers.
Do you help with placements?+
Yes. Resume reviews, mock interviews and interview prep are part of every program.

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