Course Details | Cloudthat

Course Overview

You will learn how to solve a real-world use case with Machine Learning (ML) and produce actionable results using Amazon SageMaker. This course walks through the stages of a typical data science process for Machine Learning from analyzing and visualizing a dataset to preparing the data, and feature engineering. Individuals will also learn practical aspects of model building, training, tuning, and deployment with Amazon SageMaker. Real life use cases include customer retention analysis to inform customer loyalty programs. The course comprises presentations, group exercises, and hands-on labs.

After completing this course, students will be able to:

  • Prepare a dataset for training
  • Train and evaluate a Machine Learning model
  • Automatically tune a Machine Learning model
  • Prepare a Machine Learning model for production
  • Think critically about Machine Learning model results

Upcoming Batches

India Online Enroll

To be Decided

Key Features

  • Our training modules have 50% - 60% hands-on lab sessions to encourage Thinking-Based Learning (TBL)
  • Interactive-rich virtual and face-to-face classroom teaching to inculcate Problem-Based Learning (PBL)
  • AWS certified instructor-led training and mentoring sessions to develop Competency-Based Learning (CBL)
  • Well-structured use-cases to simulate challenges encountered in a Real-World environment
  • Being an authorized AWS Training Partner gives us an edge over competition

Who Should Attend

  • Developers
  • Data Scientists

Prerequisites

We recommend that attendees of this course have:

  • Familiarity with Python programming language
  • Basic understanding of Machine Learning

Course Outline Download Course Outline

  • Types of ML
  • Job Roles in ML
  • Steps in the ML pipeline

  • Training and test dataset defined
  • Introduction to SageMaker
  • Demonstration: SageMaker console
  • Demonstration: Launching a Jupyter notebook

  • Business challenge: Customer churn
  • Review customer churn dataset

  • Demonstration: Loading and visualizing your dataset
  • Exercise 1: Relating features to target variables
  • Exercise 2: Relationships between attributes
  • Demonstration: Cleaning the data

  • Types of algorithms
  • XGBoost and SageMaker
  • Demonstration: Training the data
  • Exercise 3: Finishing the estimator definition
  • Exercise 4: Setting hyper parameters
  • Exercise 5: Deploying the model
  • Demonstration: hyper parameter tuning with SageMaker
  • Demonstration: Evaluating model performance

  • Automatic hyper parameter tuning with SageMaker
  • Exercises 6-9: Tuning jobs

  • Deploying a model to an endpoint
  • A/B deployment for testing
  • Auto Scaling
  • Demonstration: Configure and test auto scaling
  • Demonstration: Check hyper parameter tuning job
  • Demonstration: AWS Auto Scaling
  • Exercise 10-11: Set up AWS Auto Scaling

  • Cost of various error types
  • Demo: Binary classification cutoff

  • Accessing Amazon SageMaker notebooks in a VPC
  • Amazon SageMaker batch transforms
  • Amazon SageMaker Ground Truth
  • Amazon SageMaker Neo

Certification

    • By earning Practical Data Science with Amazon SageMaker certification, you will show your future or current employer that you have knowledge of AWS Cloud concepts.
    • Practical Data Science with Amazon SageMaker certification can be used to learn skills of Data Science for Machine Learning
    • On successful completion of Practical Data Science with Amazon SageMaker certification training aspirants receive a Course Completion Certificate from us
    • By successfully clearing the Practical Data Science with Amazon SageMaker certification exams, aspirants earn AWS Certification

Our Top Trainers

Pavan Bhawsar

Pavan is a Microsoft Certified Trainer at CloudThat. He is an enthusiastic and passionate trainer, empathic observer towards the trending technologies with demonstrated skill in Azure and hybrid Cloud Administration. He has 6+ years of corporate experience, etc.

Vivek Kumar

Vivek has been involved in various large and complex projects with global clients. He has experience in AWS, GCP and Azure Cloud Platforms. He has experience in various software development fields like Image Processing, Web designing, Networking etc.

Jagadesh Gonnagar

He has been a part of several large and complex software development projects with global clients. He has worked in USA for over 11 years before relocating to India. He has expertise in Database design/development, Web development, etc.

Haris AK

Haris works as Cloud Solutions Architect in CloudThat technologies, being passionate about ever evolving technology. He is specialist on Docker, Kubernetes, Ansible, Git/Jenkins, Terraform and other DevOps Technologies. Haris Architects’ solutions on Cloud as well on-Premises using wide etc.

Devi Vara Prasad

A Microsoft Certified Trainer with more than 15+ years of Corporate, Online and Classroom Training Experience, well versed in AWS an Azure Cloud platform and have been delivering trainings for more than 5years. Also has a vast etc.

Ajay Kumar Lodha

Ajay is cloud obsessed and cloud addict, that's how he describes himself. Ajay has been working with all the major cloud computing platforms like AWS, Azure, and GCP for more than 5 years now. He is into etc.

Guruprasad Srinivasrao Venugopal

He is a Cloud enthusiast with demonstrated skills in Azure, AWS Hybrid-Cloud administration, Linux and DevOps. Alongside working on Azure Cloud deployment, administration and implementation, he is also engaged in planning, designing and executing various nice technology etc.

Prarthit Mehta

Prarthit has been involved in various large and complex projects with global clients. He has experience in Microsoft, MS office 365 & AWS Infrastructure technologies and Windows servers, designing Active Directory and managing various domain services. He etc.

Priyant Gupta

Priyant is working in the Microsoft Technology space for last 5 years and is sharing the knowledge gained on Azure Administration, Azure Data Engineering and Dynamics 365 CE Apps. He has trained 1000+ professionals as a corporate trainer at etc.

Lakhan Kriplani

He had involved in various client projects to set up infrastructure on Cloud for various Analytics applications, E-Commerce, setup CICD Pipeline using AWS services. He has experience in developing highly secure, scalable web applications using MVC architecture. etc.

Course Fee

Select Course date

Add to Wishlist

Course Price at

₹ 19900 + 18% GST

Enroll Now