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Master Deployment of Machine Learning Models in Production

Master the art of building robust Machine Learning pipelines and deploying them to production on the Cloud with reliability and efficiency.

Top-Rated 701+ Learners

Created By Stephen Leo

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  • Expert-Taught Videos

  • Guided Hands-On Exercises

  • Outcome Focus

  • Auto-Graded Assessments

  • Recall Quizzes

  • Real-Time Insights

Starts at

100% Money-Back Guarantee

This Course is Not Available in your region

This Course Includes:

  • 5 Hours of On-Demand Videos
  • 16 Auto-Graded Assessments
  • 15 Hands-On Exercises
  • 20 Recall Quizzes
  • 2 Comprehensive Assignments
  • 16 Ebooks

Training for Teams of 5+?

Transform your workforce with access to KnowledgeHut's top-rated courses.

    Starts at

    100% Money-Back Guarantee

    This Course is Not Available in your region

    This Course Includes:

    • 5 Hours of On-Demand Videos
    • 16 Auto-Graded Assessments
    • 15 Hands-On Exercises
    • 20 Recall Quizzes
    • 2 Comprehensive Assignments
    • 16 Ebooks

    Training for Teams of 5+?

    Transform your workforce with access to KnowledgeHut's top-rated courses.

    What You Will Learn

    • Build Machine Learning models from scratch.
    • Set up AWS SageMaker Studio and Jupyter.
    • Learn real-time Endpoint Deployment and Cleanup.
    • Create interference scripts for Batch Transform.
    • Learn to debug application errors with Jupyter Notebook.
    • Implement MLOps on AWS Cloud using SageMaker.
    Show More

    The KnowledgeHut Edge

    Immersive Learning

    Go beyond just videos and learn hands-on with guided exercises, assignments, and more.

    Superior Outcomes

    Focus on skilled-based outcomes with advanced insights from our state-of-the art learning platform.

    World-Class Instructors

    Course instructors and designers from top businesses including Google, Amazon, Twitter and IBM.

    Continual Support

    Learn better with support along the way. Get 24/7 help, stay unblocked and ramp up your skills.

    Real-World Learning

    Get an intimate, insider look at leading companies in the field through real-world case studies.

    Industry-Vetted Curriculum

    Curriculum primed for industry relevance and developed with guidance from industry advisory boards.

    Curriculum

    Video preview 1.

    Learning Objectives

    Get introduced to the major elements of Model Deployment and form a strong conceptual base.   

    Topics Play Video
    • What is Model Deployment? 
    • Types of Model Deployment 
    • How to Choose the Model Deployment Type? 
    Video preview 2.

    Learning Objectives

    Gain an overview of the AWS SageMaker Studio and learn to open Jupyter on SageMaker Studio.  

    Topics Play Video
    • AWS SageMaker Equivalent on GCP and Azure 
    • Sign into Your AWS Account 
    • Setting up AWS SageMaker Studio 
    • Opening Jupyter on SageMaker Studio 

     

    Video preview 3.

    Learning Objectives

    Gain a complete understanding of different Machine Learning models and train them. 

    • Cloning the Lesson Repository 
    • Downloading Data-Part 1 
    • Downloading Data-Part 2 
    • Exploratory Data Analysis and Feature Engineering 
    • Base Model Training Code 
    • Test Model Locally 
    • SageMaker Training Job- Part 1 
    • SageMaker Training Job- Part 2 
    • Hyperparameter Tuning 
    • Analyze Results 
    Video preview 4.

    Learning Objectives

    Gain a thorough understanding of Multi-model Endpoint and deploy Multi-model Endpoint.  

    Topics Play Video
    • Architecture of SageMaker Real-time Inference 
    • Create the Inference Script 
    • Real-time Endpoint Deployment 
    • Invoke the Model 
    • Cleanup 
    • Introduction to Multi-model Endpoint 
    • Deploying Multi-model Endpoint 
    • Invoke the Multi-model Endpoint 
    • Introduction to Serverless 
    • Deploying as a Serverless Inference 
    Video preview 5.

    Learning Objectives

    Understand the SageMaker Batch Transform architecture and learn to analyze results.  

    Topics Play Video
    • Architecture of SageMaker Batch Transform  
    • Create the Inference Script for Batch Transform 
    • Trigger a Batch Transform Job 
    • Analyze Results 
    Video preview 6.

    Learning Objectives

    Form a solid understanding of Machine Learning operations and work on Project Template Code.  

    Topics Play Video
    • MLOps: Machine Learning Operations 
    • Implement MLOps on AWS Cloud Using SageMaker 
    • Create an MLOps Project with a SageMaker Template 
    • SageMaker Project Template Code-Part 1 
    • SageMaker Project Template Code-Part 2 
    • SageMaker Project Template Code-Part 3 
    • SageMaker Project Template Code-Part 4 
    • SageMaker Project Template Code-Part 5 
    • SageMaker Project Template Code-Part 6 
    • Debug Application Errors with Jupyter Notebook 
    • Push Code Changes to Trigger CI/CD 
    • Test the Endpoint 
    • Cleanup 

    Prerequisites

    • There are no prerequisites for this course.
    • A basic understanding of Elementary Mathematics would be advantageous. 

    What Learners Are Saying

    Glad to find this immersive course on Deploying Models to the Cloud in an on-demand, self-learning format. Thanks KnowledgeHut!

    T
    Trent Diggins

    Cloud Operations

    I really liked that I can get certified in a domain like Deploying Models on the Cloud from the comfort of my home.

    P
    Peter Jacob

    Machine Learning Engineer

    Finally, a course provider who understands our busy schedules! I could easily learn the deployment of ML Models with my regular job.

    R
    Radhika Singh

    Data Scientist

    Best self-paced course to learn the deployment of ML models. You can access the learning material anytime and from anywhere.

    G
    Gregory Turns

    Data Engineer

    The best course to learn the deployment of ML Models. Course completion certificates and the hands-on approach are the biggest takeaways.

    A
    Alana Stevens

    Cloud Engineer

    How Our Course Compares

    YouTube Videos Online Courses KnowledgeHut

    On-Demand Videos

    Immersive Learning Experience

    Structured Curriculum

    Course Curated by Industry Experts

    Auto-Graded Assessments

    Lifetime Access to Courseware

    Course Advisor

    Stephen Leo
    Stephen Leo

    Director of Data Science

    Marie Stephen Leo is a Director of Data Science who comes with more than 12 years of experience and is proficient in Data Engineering, Neural Search, GCP, AWS, Data Science, and MLOps.

    Course Advisor

    Marie Stephen Leo is a Director of Data Science who comes with more than 12 years of experience and is proficient in Data Engineering, Neural Search, GCP, AWS, Data Science, and MLOps.

    Stephen Leo
    Stephen Leo

    Director of Data Science

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    Frequently Asked Questions

    Yes, you will experience KnowledgeHut's immersive learning in an on-demand format. This will include e-learning material to help you:

    • LEARN with recall quizzes, interactive ebooks, and case studies
    • ASSESS your skills progression with diagnostic, module-level, and final assessments
    • PRACTICE with real-world simulations and Cloud Labs
    • GAIN INSIGHTS with real-time reports and analytics on how you're progressing, your learning challenges, and suggestions of sections to revisit to build competency in the required areas

    SQL for data analytics course syllabus covers many SQL skills for data analytics including learning how to: 

    • Use MySQL Workbench 
    • Run SQL queries 
    • Run SQL commands 
    • Filter data in SQL 
    • Combine data from multiple tables 
    • Analyze big data sets

    Yes, our online course is designed to give you flexibility to skill up as per your convenience. The course is delivered in a Self-Paced mode so that you can balance your work and learning as per your schedule.

    Yes! Upon passing this course, you will receive a signed certificate of completion from KnowledgeHut. Thousands of KnowledgeHut alumni use their course certificate to demonstrate skills to employers and their networks.

    KnowledgeHut’s courses are well-regarded by industry experts, who contribute to our curriculum and use our tech programs to train their own teams.

    Please make sure that your computer meets the following software and system requirements: 

    • Software Requirements: Internet browser
    • System Requirements: Windows or equivalent environment with Internet browser and high-speed Internet connectivity.

    Yes, it does! In the unlikely event that you are not satisfied with the course, and you wish to withdraw within the first seven days, we’ll issue a 100% refund. Refer to our Online Self-Paced Courses Refund Policy for more details.

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