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
 NetworkingÂ
Industrial Project
Guided Labs
Duration of Course
10-12 weeks
Time Commitment
20 Hrs/ Week
Admission Deadline:
October 22nd
Mode
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
Curriculum
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
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
Scenario introduction
Collecting and securing data
Exploring Amazon SageMaker
Evaluating your data
Visualizing Data
Feature engineering
Encoding Categorical Variables
Training
Demonstration: Training a Model Using Amazon SageMaker
Splitting Data and Training a Model using
XGBoost
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
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)
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
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
Course summary
AWS documentation
AWS Certified Machine Learning – Specialty
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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
aruna.sharma@genesecloud.academy