AWS ML Interestship

This program is the perfect blend of theoretical and practical classes that prepare students to be job-ready for the high demanding career of Machine Learning.

Our Advantage:

Placement Support

Experienced Trainer


Industrial Project

Guided Labs

Duration of Course

10-12 weeks

Time Commitment

20 Hrs/ Week

Admission Deadline:

October 22nd


Online Learning

Key Highlights

Guaranteed Apprenticeship

We will offer a guaranteed apprenticeship to all students during the program where you will have the opportunity to imply what you have learned.

AWS Certification

AWS Certification validates cloud expertise to help professionals highlight in-demand skills and organizations build effective, innovative teams for cloud initiatives using AWS.

Flexible Timeline

Classes will run once a week during weekends so that all of the students can manage their time.

Guided Labs

The students will be directly guided by the experts once a week. They will have a hands-on practical session.

About Program

The program is the perfect blend of theoretical and practical classes that prepare students to be job-ready for the high demanding career of Machine Learning. The program is a globally recognized certification program powered by Amazon Web Services.

The student will learn Machine learning and models. We will be offering you to guide the broadest and deepest set of machine learning services and supporting cloud infrastructure, putting machine learning in the hands of every developer, data scientist and expert practitioner.

The GA Advantage

Guided Classroom

Mentorship from Industry Experts

Career Counselling

Industrial Projects

Industrial Discussions and Guest Lectures

Soft Skill Development Workshops

Networking and Events

Live Workshops

Credential Certification

Graduation Ceremony

Internship and Placement Support


Brief Description of all courses.

Welcome to AWS Academy Machine Learning Foundations

30 min.

Course prerequisites and objectives
Machine learning job roles

Machine learning job roles
120 min.

What is Machine Learning?
Business problems solved with Machine Learning
Machine Learning process
Machine Learning tools overview
Machine Learning challenges
Demonstration: Introducing Amazon SageMaker
Machine Learning Concepts

Implementing a Machine Learning pipeline with Amazon SageMaker
430 min.

Scenario introduction
Collecting and securing data
Exploring Amazon SageMaker
Evaluating your data
Visualizing Data
Feature engineering
Encoding Categorical Variables
Demonstration: Training a Model Using Amazon SageMaker
Splitting Data and Training a Model using
Hosting and using the model
Hosting and Consuming a Model on AWS
Evaluating the accuracy of the model
Evaluating Model Accuracy
Hyperparameter and model tuning
Demonstration: Optimizing Amazon SageMaker Hyperparameters
Demonstration: Running Amazon SageMaker Autopilot
Tuning with Amazon SageMaker
Machine Learning pipeline implementation

Introducing Forecasting
120 min.

Forecasting overview
Processing time series data
Using Amazon Forecast
Demonstration: Creating a Forecast with Amazon Forecast
Creating a Forecast with Amazon Forecast
Managed Services for Forecasting

Introducing Computer Vision (CV)
120 min.

Introducing Computer Vision
Analyzing image and video
Demonstration: Introducting Amazon Rekognition
Preparing custom datasets for computer vision
Demonstration: Labeling images with Amazon Ground Truth
Facial Recognition
Computer Vision

Introducing Natural Language Processing
120 min.

Overview of Natural Language Processing
Natural Language Processing managed services
Demonstration: Introducing Amazon Polly
Demonstration: Introducing Amazon Comprend
Demonstration: Introducing Amazon Translate
Create a bot to schedule appointments
Natural Language Processing

Course Wrap-Up
30 min.

Course summary
AWS documentation
AWS Certified Machine Learning – Specialty

The Way Ahead

Work as Certified Instructor

Get Hired

Professional and Speciality Certification

Admission Requirements

We invite applications from motivated candidates

  • You have to pass the LinkedIn Python Skill Assessment
  • Foundational mathematical and algorithmic knowledge
  • Basic programming skills.
  • With a good level of proficiency in English
  • Professional experience is a plus, but it is not a requirement for admission.

For further Inquiry

Aruna Sharma
Inquiry Specialist: AWS Machine Learning Interestship

Registration Closed!