Specialization 3 of 9

MLOps and Deployment

Learn how to deploy models into actual applications and build your own AI product.

Start with course 1See plans
courses
12
lessons
227
hours of video
18
lessons free to try
19

  1. 01

    Docker For Data Science

    Learn to harness Docker for creating isolated, reproducible environments tailored to data science. Master building custom images, managing multi-container workflows, and deploying scalable applications.

    1 course · 1 h 57 min

    1. Course 1Docker for Data Science23 lessons · 1 h 57 min3 free lessons

  2. 02

    Deploying In EC2 (Popular Method)

    Learn how to convert your ML models to a productionizable app. Host it in AWS EC2 instance performed live and learn all the intermediate steps, purpose behind it and best practices.

    1 course · 1 h 59 min

    1. Course 2ML Deployment in AWS EC221 lessons · 1 h 59 min3 free lessons

  3. 03

    Deploying In Other AWS Methods

    Learn how to serve machine learning from AWS Lambda and AWS Sagemaker. Understand their services, set them up and learn how to deploy ML in AWS Lambda and AWS Sagemaker.

    4 courses · 6 h 21 min

    1. Course 3Deploy in AWS Lambda13 lessons · 1 h 4 min2 free lessons
    2. Course 4Deploy in AWS Sagemaker32 lessons · 2 h 45 min6 free lessons
    3. Course 5Automating AWS with Boto32 lessons · 1 h 9 min
    4. Course 6Automating AWS with Boto3 Part 2: Deploying PyTorch Models7 lessons · 1 h 23 min

  4. 04

    Handle Big Data Using PySpark

    Learn to leverage distributed computing power for large-scale data processing, manipulate datasets efficiently, and harness advanced analytics techniques to derive meaningful insights.

    5 courses · 6 h 57 min

    1. Course 7PySpark for Data Science - I: Fundamentals25 lessons · 2 h 3 min1 free lesson
    2. Course 8PySpark for Data Science - II: Statistics for Big Data23 lessons · 1 h 20 min1 free lesson
    3. Course 9PySpark for Data Science - III: Data Cleaning and Analysis Methods22 lessons · 1 h 14 min1 free lesson
    4. Course 10PySpark for Data Science - IV: Machine Learning27 lessons · 1 h 19 min1 free lesson
    5. Course 11PySpark for Data Science - V: ML Pipelines18 lessons · 1 h 2 min1 free lesson

  5. 05

    Deployment Optimization Techniques

    Learn to streamline your machine learning workflows, track models effectively, and optimize deployment strategies for seamless integration into production environments.

    1 course · 1 h 10 min

    1. Course 12MLFlow in Action: Hands on guide to ML experiments14 lessons · 1 h 10 min

All-Access membership

This specialization and the other 8, for one price

One membership opens every course. Every new course included. 30-day money-back guarantee.

Join All-AccessSee the course map
Contact us