Practical Data Science With Amazon SageMaker Training | AWS Training in San Diego

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Practical Data Science with Amazon SageMaker Training

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Acquire Skills with our Practical Data Science with Amazon SageMaker Training
Learn about how to access Amazon SageMaker notebooks in a VPC
Become familiar with how to load and visualise the dataset

Dates & Prices Dates & Prices

Course information

Practical Data Science with Amazon SageMaker Training Course Outline

Module 1: Introduction to Machine Learning

Types of ML
Job Roles in ML
Steps in the ML Pipeline

Module 2: Introduction to Data Prep and SageMaker

Training and Test Dataset Defined
Introduction to SageMaker
SageMaker Console
Launching a Jupyter Notebook

Module 3: Problem formulation and Dataset Preparation

Business Challenge: Customer Churn
Review Customer Churn Dataset

Module 4: Data Analysis and Visualisation

Loading and Visualising Your Dataset
Cleaning the Data

Module 5: Training and Evaluating a Model

Types of Algorithms
XGBoost and SageMaker
Training the Data
Hyper Parameter Tuning with SageMaker
Evaluating Model Performance

Module 6: Automatically Tune a Model

Automatic Hyper Parameter Tuning with SageMaker

Module 7: Deployment / Production Readiness

Deploying a Model to an Endpoint
A/B Deployment for Testing
Auto Scaling
Configure and Test Auto Scaling
Check Hyper Parameter Tuning Job
AWS Auto Scaling

Module 8: Relative Cost of Errors

Cost of Various Error Types
Binary Classification Cutoff

Module 9: Amazon SageMaker Architecture and Features

Accessing Amazon SageMaker Notebooks in a VPC
Amazon SageMaker Batch Transforms
Amazon SageMaker Ground Truth
Amazon SageMaker Neo

Who should attend this Practical Data Science with Amazon SageMaker Training Course?

The Practical Data Science with Amazon SageMaker Course is designed for data professionals and analysts who want to harness the power of Amazon SageMaker for effective and practical data science projects. The following professionals can greatly benefit from attending this course:

Data Scientists
Data Analysts
Machine Learning Engineers
Cloud Solutions Architects
Business Analysts
Data Engineers
IT Professionals

Prerequisites of the Practical Data Science with Amazon SageMaker Training Course

There are no formal prerequisites for this Practical Data Science with Amazon SageMaker Course. However, familiarity with Python programming language and Machine Learning can be beneficial for the delegates.

Practical Data Science with Amazon SageMaker Training Course Overview

Amazon SageMaker is a powerful cloud-based machine learning platform that simplifies the process of building, training, and deploying machine learning models at scale. With the growing demand for data-driven decision-making, organisations need tools that streamline workflows and enhance productivity. Amazon SageMaker meets this need by providing an integrated environment for data scientists and developers to harness the power of machine learning without extensive infrastructure management.

This Practical Data Science with Amazon SageMaker Training is particularly beneficial for data scientists, machine learning engineers, data analysts, and business intelligence professionals seeking to deepen their understanding of data science methodologies and Amazon SageMaker. Additionally, IT professionals and project managers involved in data-driven projects can also gain valuable insights from this training.

This 1-day Practical Data Science with Amazon SageMaker Training by The Knowledge Academy equips professionals with the practical skills needed to leverage Amazon SageMaker effectively. Delegates will learn to create and deploy machine learning models, streamline their data science workflows, and implement best practices for model optimisation and monitoring. The hands-on approach ensures delegates can apply their learning immediately to real-world scenarios.

Course Objectives

To understand the fundamentals of machine learning and data science
To navigate the Amazon SageMaker interface effectively
To build, train, and deploy machine learning models
To implement data pre-processing techniques
To evaluate and optimise models for better performance
To explore various machine learning algorithms available in SageMaker

Upon completion of the Practical Data Science with Amazon SageMaker Training, delegates will possess the skills to implement data science projects using Amazon SageMaker, enabling them to drive business insights and innovation through effective machine learning solutions. This practical knowledge can significantly enhance their contributions to data-driven initiatives within their organisations.

What’s included in this Practical Data Science with Amazon SageMaker Training Course?

World-Class Training Sessions from Experienced Instructors
Practical Data Science with Amazon SageMaker Certificate
Digital Delegate Pack

Why choose us

Our San Diego venue

Includes..

Free Wi-Fi

To make sure you’re always connected we offer completely free and easy to access wi-fi.

Air conditioned

To keep you comfortable during your course we offer a fully air conditioned environment.

Full IT support

IT support is on hand to sort out any unforseen issues that may arise.

Video equipment

This location has full video conferencing equipment.

San Diego is the eighth-largest city in the United States with an estimated population of over 1.3 million. San Diego has been named ‘the birthplace of California’ as it is known to be the first city where Europeans (mainly Spaniards) settled. The city is famous for its guaranteed mild climate and its vast beaches.

San Diego’s dominant economic sectors include international trade, tourism and manufacturing inside and outside of the military. The city boasts some excellent educational facilities that specialise in biotechnology - these studies mainly take place in the University of California, San Diego (UC San Diego) along with the UCSD Medical Center. There are other Universities in San Diego such as; San Diego State University, University of San Diego, Ashford University and the National University. Some of San Diego’s most famous landmarks include Balboa Park which is a Zoo as well as 17 museums including USS Midway Museum and Mount Soledad.

Address

San Diego, California

T: +1 7204454674

Ways to take this course

Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Practical Data Science With Amazon SageMaker Training | AWS Training in San Diego. Engage directly with expert instructors, mirroring the classroom schedule for a comprehensive learning journey. Enjoy the convenience of virtual learning without compromising on the quality of interaction.

Learn more in our FAQs

Unlock your potential with The Knowledge Academy's Practical Data Science With Amazon SageMaker Training | AWS Training in San Diego, accessible anytime, anywhere on any device. Enjoy 90 days of online course access, extendable upon request, and benefit from the support of our expert trainers. Elevate your skills at your own pace with our Online Self-paced sessions.

Learn more in our FAQs

Streamline large-scale training requirements with The Knowledge Academy's In-house/Onsite at your business premises. Experience expert-led classroom learning from the comfort of your workplace and engage professional development.

Tailored learning experience

Leverage benefits offered from a certification that fits your unique business or project needs

Maximise your training budget

Cut unnecessary costs and focus your entire budget on what really matters, the training.

Team building opportunity

Our offers a unique chance for your team to bond and engage in discussions, enriching the learning experience beyond traditional classroom settings

Monitor employees progress

The course know-how will help you track and evaluate your employees' progression and performance with relative ease

Learn more in our FAQs

What our customers are saying

Practical Data Science With Amazon SageMaker Training | AWS Training in San Diego FAQs

What is Machine Learning (ML)?

Machine Learning (ML) is a data analysis process that automates the creation of analytical models. Artificial Intelligence is based on the premise that systems can learn from data, recognise patterns, and make judgments with little or no human input.

What are the pre-requisites for the Practical Data Science With Amazon SageMaker Course?

Delegates should have a foundational understanding of data science concepts, experience with programming in Python, and familiarity with AWS services to benefit fully from the Practical Data Science with Amazon SageMaker course.

Who should attend this Practical Data Science With Amazon SageMaker Training Course?

The Practical Data Science with Amazon SageMaker training course is ideal for data scientists, machine learning engineers, software developers, and IT professionals seeking to enhance their skills in building and deploying machine learning models effectively.

What are the types of Machine Learning (ML)?

Machine learning types include supervised learning, which uses labelled data to train models; unsupervised learning, which identifies patterns in unlabelled data; and reinforcement learning, which optimises actions based on feedback from the environment.

What are the benefits of SageMaker?

Amazon SageMaker simplifies the machine learning process by providing tools for building, training, and deploying models at scale, enhancing productivity, reducing time to market, and enabling seamless integration with other AWS services.

What are the advantages of Machine Learning (ML)?

Easily identifies trends and patterns, no human intervention needed (automation), continuous improvement, handling multi-dimensional and multi-variety data, wide applications, etc., are the advantages of Machine Learning (ML).

What will I learn during the Practical Data Science with Amazon SageMaker Training course?

During the Practical Data Science with Amazon SageMaker Training course, you will learn various essential topics such as XGBoost and SageMaker, review customer churn dataset, auto-scaling, job roles in ML, A/B deployment for testing, check hyperparameter tuning job, and many more.

Do you offer 24/7 support for the Practical Data Science With Amazon SageMaker Training Course?

Yes, The Knowledge Academy offers 24/7 support for Practical Data Science with Amazon SageMaker Training via phone & email before attending, during, and after the course. Our customer support team is available to assist and promptly resolve any issues you may encounter.

What is included in the Practical Data Science with Amazon SageMaker Training Course?

In this course, delegates will have intensive training with our experienced instructors, a digital delegate pack consisting of important notes related to this course, and a certificate after course completion.

What is the duration of this Practical Data Science With Amazon SageMaker Certification?

This course takes 1-day to complete during which delegates participate in intensive learning sessions that cover various course topics.

How long until I receive the course confirmation details for Practical Data Science with Amazon SageMaker Training?

You should receive the confirmation details for the Practical Data Science with Amazon SageMaker Course within 24-48 hours after registration. If you haven't received it by then, please check your spam folder or contact our support team for assistance.

What are the skills required to attend this Practical Data Science With Amazon SageMaker Course?

Essential skills for attending the Practical Data Science with Amazon SageMaker Certification include proficiency in Python programming, a grasp of data analysis techniques, familiarity with machine learning concepts, and basic knowledge of AWS services.

Are there any specific industries or job roles that can particularly benefit from Practical Data Science With Amazon SageMaker Certification?

Industries such as finance, healthcare, retail, and technology, along with job roles like data scientists, machine learning engineers, and business analysts, can significantly benefit from the Practical Data Science with Amazon SageMaker certification.

Is this Practical Data Science With Amazon SageMaker Certification Course suitable for individuals at different career stages?

Yes, the Practical Data Science with Amazon SageMaker Certification Course is suitable for individuals at various career stages, from beginners seeking foundational knowledge to experienced professionals aiming to enhance their machine learning skills and deploy models effectively.

Do I need any prior experience to take this Practical Data Science with Amazon SageMaker Training Course?

While prior experience is not mandatory, having a basic understanding of data science concepts and proficiency in Python programming will greatly enhance the learning experience for those taking the Practical Data Science with Amazon SageMaker Training Course.

Do you provide self-paced Practical Data Science With Amazon SageMaker Training Course?

The Knowledge Academy provides flexible self-paced training for this course. Self-paced training is beneficial for individuals who have an independent learning style and wish to study at their own pace and convenience.

Do you provide corporate training for this Practical Data Science with Amazon SageMaker Course?

Yes, we provide corporate training for this course, tailored to fit your organisation’s requirements.

Who should I contact if I am unable to access my Practical Data Science with Amazon SageMaker Training?

If you are unable to access your Practical Data Science With Amazon SageMaker Training, contact the support team at The Knowledge Academy via their customer service email or phone number provided on their website for prompt assistance and resolution of your issue.

Are there practical components or hands-on activities in Practical Data Science With Amazon SageMaker Training Course?

Yes, the Practical Data Science with Amazon SageMaker training course includes hands-on activities and practical components, allowing delegates to apply their learning through real-world scenarios and gain experience in building and deploying machine learning models.

Why choose The Knowledge Academy in San Diego over others for Practical Data Science with Amazon SageMaker Training?

The Knowledge Academy in San Diego stands out as a prestigious training provider known for its extensive course offerings, expert instructors, adaptable learning formats, and industry recognition. It's a dependable option for those seeking this course.

What is the cost/training fees for Practical Data Science with Amazon SageMaker Training in San Diego?

The training fees for Practical Data Science with Amazon SageMaker Trainingin San Diego starts from $2495

Which is the best training institute/provider of Practical Data Science with Amazon SageMaker Training in San Diego?

The Knowledge Academy is the Leading global training provider for Practical Data Science with Amazon SageMaker Training.

What are the best AWS Certification Training Courses courses in San Diego?

Please see our AWS Certification Training Courses courses available in San Diego

Why choose us

Best price in the industry

You won't find better value in the marketplace. If you do find a lower price, we will beat it.

Many delivery methods

Flexible delivery methods are available depending on your learning style.

High quality resources

Resources are included for a comprehensive learning experience.

"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"

Joshua Davies, Thames Water

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