Mastering MLOps - Development to Deployment


Content

In this course on “Mastering MLOps - Development to Deployment”. We will discuss from traditional ML workflow to advanced automation on AWS SageMaker and Autopilot. Along with this we will be mastering the three distinct levels of MLOps - level 0, level 1 and level 2. We will also discuss the myths associated with MLOps, best practices to be followed, and how to pick the right MLOps tool. 

Who Should Enroll:

This course is ideal for people who know how to build machine learning models and who are looking to enhance their skills in deploying and managing machine learning models in real-world scenarios.

Key Takeaways from the “Mastering MLOps - Development to Deployment” course

  • Gain comprehensive skills from development to deployment in MLOps.

  • Understand MLOps stages, hands-on implementation with structured and unstructured data.

  • Leveraging AWS SageMaker and Autopilot for real-time machine learning model deployment.

  • Learn MLOps best practices to ensure successful model deployment and management.

  • Gain insights into common MLOps misconceptions and how to choose the right tools.

What do I need to start the “Mastering MLOps - Development to Deployment ” course

  • A well-functioning laptop/desktop and a stable internet connection

  • Basic knowledge of building machine learning models

  • An active AWS account for model building

Course curriculum

  • 1
    Setting Context for the Course
    • Lesson 1: Course Introduction
    • Lesson 2: Overview of MLOps Modules
    • Course Handout
  • 2
    Kick-Start Your MLOps Journey
    • Lesson 1: The Challenges in ML Workflow
    • Lesson 2: General Challenges
    • Lesson 3: Blueprint of Level 0 Architecture
    • Lesson 4: Hands-on with Level 0 Architecture Part - I
    • Lesson 5: Hands-on with Level 0 Architecture Part - II
    • Lesson 6: Real-time Prediction and Batch Time Prediction
    • Lesson 7: Model Deployment in Streamlit
    • Lesson 8: Understanding Data Drift and Concept Drift
    • Lesson 9: Drawback of Level 0 Architecture
    • Quiz
    • Expert Talk: Deep Dive With Dr. Kiran R on Decoding MLOps (Optional)
  • 3
    Overview of Level 1 MLOps
    • Lesson 1: Introduction to Cloud Platform
    • Lesson 2: ML Framework
    • Lesson 3: Blueprint of Level 1 Architecture Part I
    • Lesson 4: Blueprint of Level 1 Architecture Part II
    • Lesson 5: Overview of AWS Services
    • Lesson 6: Getting Started with Amazon SageMaker
    • Lesson 7: Hands-On Level 1: Part 1
    • Lesson 8: Hyperparameter Tuning in SageMaker
    • Lesson-9 Sagemaker_Xgboost + Model host
    • Lesson 10 Sagemaker-level1-model quality
    • Lesson 11: Sagemaker Alert
    • Quiz
  • 4
    Overview of Level 2 MLOps
    • Building a Pipeline in sagemaker
    • Deploying a pipeline in sagemaker
    • Sagemakers pipeline model
    • Quiz
  • 5
    MLOps Applications and Best Practices
    • Lesson 1: Busting The Myths
    • Lesson 2: Best Practices for MLOps Mastery!
    • Lesson 3: MLOps Toolkit
    • Lesson 4: Learn to Pick the Right Platform
    • Quiz