Practical Data Science with Amazon SageMaker Training Overview

Course syllabus

Who it’s for

What’s included

FAQs

Practical Data Science with Amazon SageMaker Training​ Course Outline

Module 1: Introduction to Machine Learning

  • Types of Machine Learning
  • Job Roles in Machine Learning
  • Steps in the Machine Learning Pipeline

Module 2: Introduction to Data Preparation and SageMaker

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

Module 3: Problem Formulation and Dataset Preparation

  • Business Challenge: Customer Churn
  • Review of 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
  • Training the Data
  • Evaluating Model Performance

Module 6: Automatically Tune a Model

  • Automatic Hyperparameter Tuning with SageMaker

Module 7: Relative Cost of Errors

  • Cost of Various Error Types
  • Binary Classification Cutoff

Module 8: Amazon SageMaker Architecture and Features

  • Amazon SageMaker Model Card
  • Amazon SageMaker Neo
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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.

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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
Hands-On Labs: Included as part of our online instructor-led delivery, these labs provide real-world exercises in a simulated environment guided by expert instructors to enhance your practical skills.
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Train Your Workforce

Looking for Practical Data Science with Amazon SageMaker Training in-house or onsite training in Mississauga? We specialise in corporate group training and bulk bookings for organisations of all sizes in Mississauga. Our trainers deliver tailored sessions at your premises, online, or hybrid, with best price guarantee, group discounts and flexible scheduling to train your team.

Our Mississauga 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.

Mississauga is the sixth largest city in Canada. It is in the south of the province of Ontario in the region of peel. The city is estimated to have a population of around 715,000 people. The rapid growth of this city is attributed to its proximity to Toronto. It was originally built as suburb of Toronto. Education in Canada is mostly free and publicly funded. It is overseen by the federal, provincial and local governments, with the education within provincial jurisdiction and the curriculum overseen by the province. Education is compulsory in most provinces up to the age of 16. Mississauga is served by the Peel District School Board, which operates the secular English speaking public schools. There is also a school board that runs the local catholic schools and a board that runs the French speaking schools in the area, one for the secular French schools and one for the catholic French schools. There are a number of schools in the area that offer specialised programs. These include the French immersion schools such as Clarkson Secondary School and Streetsville Secondary School. There are three schools in the areas that off a Regional Arts Program and two that offer a specialist sci-tech program for students who are gifted in these areas. There is also two schools that offer support for those studying for the international baccalaureate plus numerous other programs. Canada’s higher has a very good reputation. However there is no formal ranking system and students will often choose colleges and universities bases on geographic convenience and the reputation of a particular course. Mississauga is home to one of the three campuses run by the University of Toronto. This university is ranked as the 34th best university in the world and is the second highest ranked Canadian university in the rankings. The campus was established in 1967 and is the universities second largest division. It is home to 12,000 students. They have 15 academic departments and pupils can choose from 148 programs to participate in from 89 areas of study. Students can study both undergraduate and graduate programs on this campus. This campus also has an excellent research environment that has helped the staff and researchers become internationally recognised for their work. The university includes Institutes for Management and Innovation, and Communication, Culture, Information and Technology.

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Ways to take Practical Data Science with Amazon SageMaker Training in Mississauga

Online Instructor-Led Learning

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Onsite Learning

Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Practical Data Science with Amazon SageMaker Training. 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.

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Live classes

Join a scheduled class with a live instructor and other delegates.

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Interactive

Engage in activities, and communicate with your trainer and peers.

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Global Pool of the Best Trainers

We handpick from a global pool of expert trainers for our Online Instructor-led courses.

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With 10+ years of quality, instructor-led training, we equip professionals with lasting skills for success.

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Access Practical Data Science with Amazon SageMaker Training in Mississauga delivered by one of the largest training providers, with scalable instructor-led classes, accessible worldwide.

Master Practical Data Science with Amazon SageMaker Training with a flexible yet structured approach that combines live, expert-led sessions and self-paced study. With Weekly one-to-one tutor support and consistently high pass rates, you’ll receive tailored guidance and achieve real results.

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Structured Yet Flexible Learning

Take part in scheduled, instructor-led sessions with real-time feedback, while enjoying the freedom to study independently. Interactive resources and progress tracking tools help you stay motivated and on target.

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Engaging & Interactive Training

Join dynamic live sessions featuring discussions, practical activities, and peer collaboration. Learn from Practical Data Science with Amazon SageMaker Training industry experts and reinforce your knowledge with self-paced modules—plus, connect with professionals in your field.

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Expert-Led Course

Gain valuable insight from experienced trainers during live sessions, and revisit course materials anytime to deepen your understanding. This method offers the ideal balance between expert guidance and independent learning.

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Global Training Accessibility

Access top-quality training across time zones—anytime, anywhere. Whether at home or on the go, our expert-led sessions and flexible study materials support your goals, and help you on the journey towards the certification.

Learn Practical Data Science with Amazon SageMaker Training through The Knowledge Academy’s Online Self-Paced Learning. This flexible and structured format supports your training goals and enables every professional to build skills with confidence.

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Flexible Learning

Access Practical Data Science with Amazon SageMaker Training resources 24/7 to maintain steady progress, complete regular assessments or tasks, and upskill effectively alongside work commitments.

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Expert-Developed Content

Our Online Course content is designed by experienced trainers to ensure accuracy, relevance, and practical value.

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Access Practical Data Science with Amazon SageMaker Training in Mississauga from a trusted global training provider delivering consistent learning to professionals worldwide.

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Cost-Effective Training

Benefit from the cost-effective Practical Data Science with Amazon SageMaker Training that delivers high-quality course content without compromising learning outcomes.

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Interactive LMS

Track performance, download resources, and receive AI-enabled support through The Knowledge Academy’s dedicated Learning Management System.

Package deals for Practical Data Science with Amazon SageMaker Training in Mississauga

Our training experts have compiled a range of course packages on a variety of categories in Practical Data Science with Amazon SageMaker Training, to boost your career. The packages consist of the best possible qualifications with Practical Data Science with Amazon SageMaker Training, and allows you to purchase multiple courses at a discounted rate.

Practical Data Science With Amazon SageMaker Training | AWS Training in Mississauga 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 Mississauga over others for Practical Data Science with Amazon SageMaker Training?

The Knowledge Academy in Mississauga 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 Mississauga?

The training fees for Practical Data Science with Amazon SageMaker Training in Mississauga starts from CAD4295

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

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

What are the best AWS Certification Training Courses courses in Mississauga?

Please see our AWS Certification Training Courses courses available in Mississauga

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