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MLOps Training in Bangalore (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 Bangalore

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

Bangalore has the country's biggest concentration of AI startups and AI teams at global companies; 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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