Live Online Style Video +Live Instructor + Official Course-Book + Hands-on Labs

Mastering MLOps: Complete Course on ML Operations


  1. 6 months access to videos.
  2. Access via Laptop, Tab, Mobile, and Smart TV.
  3. Certificate of Completion.
  4. Official Course-Book
  5. Hands-on labs
  6. 160+ Tests Questions (Qubits)

We do not have video for this course. It will take 48 hours to deliver.

You can also purchase an annual plan for USD 999. For one year, all Flexi Videos will be free for you. Buy Annual Plan

Flexi Video

USD 199

Official Course-Book Instructor Hand-outs



USD 59


USD 199

100% Refund for Flexi Video (Course-Book is non-refundable) if user is not satisfied with the Video and seeks refund within 7 days of purchase.

Download Course Contents
Module 1: MLOps Fundamentals
  • Introduction to MLOps and its significance
  • Challenges in traditional ML model management
  • Solutions offered by MLOps
  • Applying MLOps tools for end-to-end projects
  • Integration of tools: DVC, Git, MLFlow, and DagsHub
  • Versioning and registering ML models with MLFlow
  • MLlow's role in managing ML lifecycle
  • Capturing data and model versions with DVC
  • On-premises and cloud storage integration
  • Utilizing DagsHub, DVC, Git, and MLFlow for versioning
  • Collaborative ML model management
  • Automation of ML model development with Auto-ML and Pycaret
  • Streamlining model versioning, training, evaluation, and deployment
  • Understanding model interpretability and explainability
  • Monitoring model performance and data drift with SHAP and Evidently
  • Packaging code and dependencies using Docker
  • Efficient distribution of Machine Learning applications
  • Model deployment through API development with FastAPI and Flask
  • Deploying APIs on Azure Cloud using containers
  • Developing web apps with embedded ML models using Gradio and Flask
  • Deploying to production in Azure via Docker containers
  • Introduction to BentoML and its role in automated ML service development
  • Putting BentoML services into production using Docker
  • Integration of BentoML with MLFlow
  • Introduction to GitHub Actions and Continuous Machine Learning (CML)
  • Practical lab: GitHub Actions for MLOps CI/CD
  • Monitoring models and services using Evidently AI
  • Identifying data drift and evaluating model quality
  • Components of Deepchecks: checks, conditions, and suites
  • Hands-on experience with Data Integrity Suite, Train Test Validation Suite, Model Evaluation Suite, and Custom Performance Suite
  • Developing an ML model from scratch
  • Validating code and preprocessing data
  • Versioning with MLFlow and DVC
  • Sharing repository with DagsHub and MLFlow
  • Building an API with BentoML
  • Creating a Streamlit app
  • Implementing CI/CD with GitHub Actions

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You will be provided access to LET ( Learning Enhancement Tool), where you will get the links to access all your purchases.
Flexi video for the new version will be provided free of cost.
6 months from the date of delivery.
Yes, contact us for corporate packages.
Yes, Course-Book and Lab are not included in the annual plan. All Flexi videos are included.
It is only for one user.
Videos can only be streamed and not downloaded.
We do not track the pass rate of Flexi students. However, we trust it will be lower than for Live Online.
Presently, Flexi is only available in English.
It’s a unique subscription plan where customers can avail unlimited Flexi courses within a year.
The subscription plan is valid for 1 year from the date of purchase.
No, this is limited to one user and its non-transferable.

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