Unlock the Power of Machine Learning with AWS Foundations: Machine Learning Basics Course

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AWS Foundations: Machine Learning Basics Course Overview


The AWS Foundations Machine Learning Basics course is a self-paced training course that provides an introduction to the fundamentals of Machine Learning on AWS. It covers the basics of machine learning algorithms and the AWS services available for deploying them. It helps to understand the components of an ML workflow, introduces core ML terminology and principles, and teaches ML concepts and techniques.
The course consists of a series of lectures, written tutorials, and hands-on exercises, including creating your own ML model using Amazon SageMaker Studio. It is designed for developers and architects who want to get started with ML, and provides a basic foundation in the necessary concepts and techniques to build, train and deploy ML models successfully. After completing the course, learners will understand how to use AWS services for ML, the differences between supervised and unsupervised learning, and how to evaluate and improve ML models.

This is a Rare Course and it can be take up to 3 weeks to arrange the training.

AWS Foundations: Machine Learning Basics
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The 1-on-1 Advantage

Get 1on-1 session with our expert trainers at a date & time of your convenience.
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Flexible Dates

Start your session at a date of your choice-weekend & evening slots included, and reschedule if necessary.
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4-Hour Sessions

Training never been so convenient- attend training sessions 4-hour long for easy learning.
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Destination Training

Attend trainings at some of the most loved cities such as Dubai, London, Delhi(India), Goa, Singapore, New York and Sydney.

You will learn:

Module 1: Machine learning
  • Introduction to Machine Learning
  • Deep learning foundations
  • Foundations of machine learning
Live Online Training (Duration : 8 Hours) Fee On Request
We Offer :
  • 1-on-1 Public - Select your own start date. Other students can be merged.
  • 1-on-1 Private - Select your own start date. You will be the only student in the class.

4 Hours
8 Hours
Week Days
Weekend

Start Time : At any time

12 AM
12 PM

1-On-1 Training is Guaranteed to Run (GTR)
Group Training
Date On Request
AWS Customer Obsession Award in August 2022.
winner of the AWS Training Partner of the Year Award – APJ Region for 2022. The award was given in a glittering ceremony in Las Vegas attended by Subo
AWS Foundations: Machine Learning Basics
Course Prerequisites

This course is designed for those who are new to machine learning and want to gain basic understanding of how it all works. Prior experience in mathematics, coding, and data science is beneficial, but not required. Participants should have experience with relational databases and an understanding of how to write SQL queries. Knowledge of the basics of AWS services and architecture would also be beneficial.

Target Audience


The target audience for AWS Foundations: Machine Learning Basics training is software developers, data scientists, and data analysts who are interested in learning the basics of machine learning
It is also suited for students, professionals, and entrepreneurs who are looking for a foundational understanding of machine learning principles and techniques
This training is a great opportunity for those new to the field to gain a comprehensive understanding of the vast potential for machine learning applications
Additionally, the training can be beneficial for experienced professionals who want to brush up on their basics, as well as for those looking to deepen their understanding of specific AWS machine learning topics

Learning Objectives of AWS Foundations: Machine Learning Basics


1. Understand the basic concepts of machine learning, such as supervised and unsupervised learning, feature selection, overfitting and underfitting, and optimization of models.
2. Learn how to use Amazon Web Services (AWS) to build and evaluate various machine learning algorithms.
3. Understand the various components of the AWS Machine Learning stack, including SageMaker, Amazon ML, and Amazon ML Platform.
4. Become proficient in using popular supervised learning algorithms such as linear regression, logistic regression, k-nearest neighbor (KNN), and decision trees.
5. Learn how to evaluate supervised models using popular metrics such as precision, recall, accuracy, mean-squared error, and R-squared.
6. Gain an understanding of unsupervised learning algorithms, such as clustering, principal component analysis, and anomaly detection.
7. Learn how to select features and design features using feature engineering and feature selection techniques.
8. Understand the concept of hyperparameter tuning and how to use Amazon SageMaker to perform hyperparameter tuning.
9. Learn how to use Amazon ML for model deployment and for building production grade machine learning models.
10. Understand the concept of fairness in machine learning and how to use Amazon ML Platform for fairness evaluation.

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1-on-1 Public - Select your start date. Other students can be merged.
1-on-1 Private - Select your start date. You will be the only student in the class.
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Schedule for Group Training is decided by Koenig. Schedule for 1-on-1 is decided by you.
In 1 on 1 Public you can select your own schedule, other students can be merged. Choose 1-on-1 if published schedule doesn't meet your requirement. If you want a private session, opt for 1-on-1 Private.

This AWS Foundations on Machine Learning Basics course is perfect for beginners looking to start their Machine Learning journey on AWS.

This AWS Machine Learning course is perfect for;

  • Developers
  • Solution Architects
  • Data Engineers
  • Anyone looking to learn and understand the machine learning pipeline

While costing for the AWS Machine Learning course depends on the choice of a learning partner, method of learning and location of the student, most learning partners have listed the price for this course as available upon request. The cost of the examination also varies based on the location of the student and the choice of a learning partner. On average, this examination costs USD 300.

This entry level AWS Machine Learning course is often conducted over a day or a few hours, depending on your choice of a learning partner.

Participants who enroll for the AWS Machine Learning certification training will get:

  • A copy of the AWS Machine Learning course material
  • Hands-on exercises developed by an expert AWS trainer
  • AWS Machine Learning course completion certificate from an Authorized CompTIA Platinum Partner

Yes, Koenig Solutions is an accredited AWS Training Partner to deliver AWS Machine Learning Certification Training across the globe.

You can take up this AWS Machine Learning certification training course in multiple delivery modes that include:

  • Instructor-led classroom training
  • Instructor-led Live online training
  • 1-on-1 training
  • Fly-me-a-Trainer
  • Corporate/on-site training

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Travel and Visa

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