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3rd Floor, Sahay Complex, Near IIM Tiraha, Lucknow | Admissions Open 2026–27
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AI & Generative AI

MLOps & LLMOps Course in Lucknow & Online

Take ML and LLM models from notebook to production.

Course at a glance
MLOps & LLMOps at BPST Academy, Lucknow is a 3 – 6 months course covering ML Lifecycle, Tracking & Versioning, Containers & Pipelines, Model Serving. It suits data scientists, ML engineers, DevOps engineers and developers moving into AI platforms. Classes run in the Lucknow classroom and live online. Until Diwali (8 Nov 2026) you can pre-book a seat for ₹49, adjusted in the course fee.
Duration
3 – 6 Months
Level
Advanced
Mode
Classroom · Online
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₹49 till Diwali
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Reserve your seat in the next MLOps & LLMOps batch. Adjusted in your course fee.

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What Is the MLOps & LLMOps Course?

Learn the engineering that keeps AI running: experiment tracking, data versioning, CI/CD for models, model serving, monitoring and drift detection, and LLM evaluation and cost control on AWS and Azure.

Who is it for?

Data scientists, ML engineers, DevOps engineers and developers moving into AI platforms.

Prerequisites

Python and basic machine learning; Docker basics helpful.

MLOps & LLMOps Syllabus — Module by Module

Module 01
ML Lifecycle
  • Problem framing to deployment
  • Reproducible projects
  • Feature stores intro
  • Model registry concepts
Module 02
Tracking & Versioning
  • MLflow experiments
  • DVC data versioning
  • Model registry
  • Artifact storage
Module 03
Containers & Pipelines
  • Docker for ML
  • Kubernetes basics
  • Kubeflow / Airflow pipelines
  • GitHub Actions CI/CD
Module 04
Model Serving
  • FastAPI & BentoML
  • vLLM for LLMs
  • Batch vs real-time
  • Autoscaling
Module 05
Monitoring
  • Data & concept drift
  • Prometheus & Grafana
  • LLM evals in production
  • Alerting
Module 06
Cloud ML Platforms
  • AWS SageMaker
  • Azure ML
  • Cost optimisation
  • Capstone deployment

Projects, Outcomes & Tools

Projects you build

  • End-to-end ML pipeline with CI/CD
  • LLM serving with vLLM + monitoring
  • Drift detection dashboard

You will be able to

  • Productionise ML and LLM models
  • Automate training & deployment pipelines
  • Monitor model quality and cost

Tools & tech

PythonMLflowDVCDockerKubernetesFastAPIvLLMPrometheusGrafanaSageMakerAzure ML

Maps to AWS ML Engineer Associate and Azure DP-100

How Is MLOps & LLMOps Taught at BPST Academy?

Every batch follows our simulated software-company model: fundamentals first, daily hands-on coding, team formation with real roles, Agile sprints with daily stand-ups, code reviews, testing and live deployment — guided by working IT professionals who act as your project managers.

Daily hands-on practice

Write and debug code in every session, not just watch slides.

Mentor as project manager

Sprints, pull-request reviews and deadlines like a real team.

Live, demo-able projects

Your work goes on GitHub and a live URL recruiters can open.

MLOps & LLMOps — Frequently Asked Questions

MLOps & LLMOps runs for 3 – 6 Months. You can study in the Lucknow classroom (3rd Floor, Sahay Complex, Near IIM Tiraha) or join the same batch live online from anywhere in India.

Data scientists, ML engineers, DevOps engineers and developers moving into AI platforms. Prerequisite: Python and basic machine learning; Docker basics helpful.

The course fee depends on the duration and mode you choose and is shared with you on WhatsApp right after pre-booking. As a Diwali gift, you can reserve your seat for just ₹49 until 8 November 2026 (23:59 IST). The ₹49 is adjusted in your course fee.

Yes. Maps to AWS ML Engineer Associate and Azure DP-100. You also leave with project work you can show to employers.

Yes — we provide job assistance: resume and LinkedIn/Naukri profile reviews, mock technical and HR interviews, and relevant interview opportunities. We do not make placement-guarantee claims; we make sure your skills and portfolio are genuinely job-ready.

Last updated 2026-09-25

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