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    Applied Machine Learning Basics

    Machine learning is a branch of Artificial Intelligence that focuses on learning from data and the algorithmic techniques that make this possible. This course will introduce you to machine learning and provide experience using machine learning functions.
    1 Students Enrolled
    1 Students Enrolled

    Additional information

    Hours: 10
    Duration: 3 months

    Language: English
    Level: Beginner

    Data sheet

    Certification included

    To request more information, you can contact us via online chat, our website contact form, or toll free at 1-855-201-6910.

    Online courses are accessible 24/7/365 and self-paced, allowing you to progress at your own pace on your own schedule. They can be taken from anywhere in the world from the comfort of your own home. Classroom courses have a set schedule of the days and times the courses will be held, and you must attend during those specific times.

    Find out if online learning is right for you by contacting our team of registration advisers. Our team is available to answer any of your questions about taking an online course before you commit to enrolling. We will walk you through what to expect to ensure you are making the right decision. You can contact a registration adviser today via online chat, our website contact form, or toll free at 1-855-201-6910.

    No, you are not required to have a diploma or higher education degree to enroll in an online course. However, some occupations may require minimum educational thresholds for employment or certification. For more information on your desired career requirements, please contact us via online chat, our website contact form, or toll free at 1-855-201-6910.

    To take an online course, you will need to have access to an internet connection and an internet ready device such as a laptop, PC, or tablet. For course specific requirements, please visit the course page or contact a registration adviser today.

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    We participate in several financial assistance options including third party funding, both military and non-military. To request more information on the financial assistance options available and check your eligibility, contact us via online chat, our website contact form, or toll free at 1-855-201-6910.

    Duration is the amount of time you will receive access to your course. Durations vary by course and range between 1 month and 12 months. If you complete your course before your duration ends you will continue to have access to your course until the duration period ends.

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    Once enrolled, you will be assigned a client adviser who will provide you with customer and technical support. Your client adviser will supply you with your course access information, any needed materials, and be available to answer any questions you have during your training experience. They will regularly check-in with you to monitor your progress and assist you with staying on track. You will also be assigned to a course mentor who will provide curriculum support throughout your training. Your mentor is available to answer any questions you have on your course curriculum, will monitor your progress and understanding of the curriculum, and may give assignments or quizzes.

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    We strive to provide a fully online experience for students however some of our training courses include physical materials or equipment. Courses that have materials shipped directly to students will be shipped within 7 business days of registration. Some training courses have material for different sections and these courses may require multiple shipments as you completed stages of your course.

    Our goal for students is to successfully complete their training course and achieve their career goals. We understand that extenuating circumstances can interfere with your ability to complete your course in the duration given. Because of this we have free or low-cost extensions available for our courses upon request. To discuss or request an extension please contact your client adviser at helpdesk@worldeducation.net.

    Upon successful completion of your course and fulfillment of any outstanding financial obligations, you will receive your certificate of completion. Certificates are provided to you within 30 days of completion. Your certificate will validate the training course you completed with a stamp of completion.

    Students that successfully complete our career training programs are assigned a career development adviser who will coordinate placement at a local externship or hands on opportunity. These opportunities are optional and may vary based on availability and occupation. Your career development adviser will also provide job search services such as: resume building, mock interviews, job opportunity resources, and more. Our professional enrichment courses do not come with a career adviser or career services.

    Program Description

    The goal of this course is to introduce Machine Learning and give you experience using one common ML function, image classification. Becoming familiar with one method gives you an advantage when encountering new procedures, enlarging your pool of marketable skills. You will train and build a classification model, then deploy your code on a website, Raspberry Pi, or your phone. After taking this course you should feel ready to take more advanced AI and Machine Learning courses. Having constructed one actual product, you will be better able to apply new knowledge in practical settings.

    Learning Objectives

    • Define Machine Learning, describe what kinds of problems it can solve. • Differentiate the 3 main approaches to Machine Learning. • Describe the process of using ML to create useful applications. • Collect, clean, and import data and convert them to datasets. • Set up training and testing code procedures. • Interpret training data to improve learning. • Create a model and give options for deploying it.


    Chapter 1: Introduction to Machine Learning A brief overview of the field of Machine Learning (ML) in the context of Artificial Intelligence. • Define Machine Learning. • Describe what kinds of problems ML can solve. • Differentiate the 3 main approaches to Machine Learning. Chapter 2: Data for Machine Learning An introduction to datasets, how to find pre-made sets or create your own. • Define several kinds of datasets. • Describe the process of creating an image dataset. • Upload and run a Google Colab Notebook. Chapter 3: Artificial Neural Networks An introduction to artificial neural networks used in image classification. • Set up model training and testing code procedures. • Interpret training data to improve learning. Chapter 4: Convolutional Neural Networks A more detailed look at how neural networks work and how to refine them to get better results. • Set up model training and testing code procedures. • Interpret training data to improve learning. Chapter 5: Development Now that you have experience creating predictive models with supervised learning, we deploy a sample model on a web page or smartphone. • Give options for deploying a model once it has been trained and tested. • Describe why you might need to convert a model to a different framework. • Modify a smartphone app to deploy your machine learning model.



    • Basic Linear Algebra and Probability • Some Python Most of the code in this course runs in Python. Basic syntax knowledge will help you understand what you see, but you should be able to do most exercises without writing much code.

    Technical Requirements

    This course includes all required materials. Learners must have access to an internet connection and an internet ready device.



    • 100% Online, Self-Paced • Open Enrollment • Admissions and Student Support • Multimedia Rich and Interactive Content

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