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Introduction to Machine Learning for Non-Programmers

Course 1259

  • Duration: 2 days
  • Labs: Yes
  • Language: English
  • Level: Foundation

This No Code Machine Learning course provides a practical and accessible approach to utilizing no code Machine Learning for data evaluation, prediction, analysis, and optimization. Designed for both non-technical and technical data users, it equips you with foundational knowledge to enhance collaboration between business analysts, data scientists, and data engineers.

Introduction to Machine Learning Delivery Methods

  • In-Person

  • Online

Introduction to Machine Learning Training Information

In this course, you will learn how to:

  • Create No Code Machine Learning Models: You'll learn to create common no code Machine Learning models using user-friendly, industry-standard, drag-and-drop tools.
  • Prepare and Analyze Data: Understand how to prepare and explore data to be used with Machine Learning models effectively.
  • Select Pre-built Pipelines and Algorithms: Discover how to choose pre-built pipelines and algorithms to train your Machine Learning models.
  • Explore Ready-to-Use Models: Explore ready-to-use models for tasks like natural language processing and computer vision.
  • Clustering and Regression Models: Learn to group items into clusters using a no-code Clustering Model and predict numeric values using a no-code Regression Model.
  • Classification Models: Master the art of predicting item categories using a no-code Classification Model.

Training Prerequisites

None.

Introduction to Machine Learning Training Outline

  • What is Machine Learning?
  • What is No Code Machine Learning?
  • Why is No Code Machine Learning so important?
  • How do No Code Machine Learning Platforms work?
  • No Code Machine Learning with Microsoft Azure
  • No Code Machine Learning with Amazon AWS

Hands-On Exercise 1.1: Exploring industry-standard, visual, drag-and-drop and point-and-click Machine Learning tools

  • Overview of datasets for Machine Learning
  • Selecting appropriate datasets
  • Preparing, exploring, and analyzing data

Hands-On Exercise 2.1: Creating datasets for training models

  • What is a Machine Learning model?
  • What are ready-to-use Machine Learning models?
  • Common ready-to-use Machine Learning models

Hands-On Exercise 3.1: Explore ready-to-use models for natural language processing and computer vision use cases

  • What is Clustering in Machine Learning?
  • Common use cases for Clustering
  • Clustering Machine Learning Models
  • Creating a No Code Clustering Model

Hands-On Exercise 4.1: Group items into clusters based on features and characteristics using a no-code Clustering Model

  • What is Regression in Machine Learning?
  • Common use cases for Regression
  • Regression Machine Learning Models
  • Creating a Regression Machine Learning Model

Hands-On Exercise 5.1: Train a no code Regression Model to predict numeric values

  • What is Classification in Machine Learning?
  • Common Use Cases for Classification
  • Classification Machine Learning Models
  • Creating a Classification Machine Learning Model

Hands-On Exercise 6.1: Predict which category, or class, an item belongs to using a no-code Classification Model

Get This Course $2,195 GOV $1,976 For Team Prices Call: 888-843-8733

  • 2-Day Instructor-Led Training

  • Hands-On Labs

  • After-Course Instructor Coaching Included

Get the Advantage $3,895
  • Take this course and gain unlimited access to more than 300 virtual instructor-led courses
  • Future-proof your career with more than 100 sought-after certifications in the market
  • Build real skills through hands-on learning in more than 180 virtual labs
  • Grow your skills and capabilities with more than one course at a time and save
Thank you for choosing subscriptions!
#1259
  • Feb 4 - 5 9:00 AM - 4:30 PM EST
    Herndon, VA or Virtual
  • Mar 3 - 4 9:00 AM - 4:30 PM EST
    Ottawa or Virtual
  • Mar 31 - Apr 1 9:00 AM - 4:30 PM EDT
    New York or Virtual
  • May 5 - 6 9:00 AM - 4:30 PM EDT
    Herndon, VA or Virtual
  • Jun 2 - 3 9:00 AM - 4:30 PM EDT
    Ottawa or Virtual
  • Jul 7 - 8 9:00 AM - 4:30 PM EDT
    New York or Virtual
  • Aug 5 - 6 9:00 AM - 4:30 PM EDT
    Herndon, VA or Virtual
  • Sep 2 - 3 9:00 AM - 4:30 PM EDT
    Ottawa or Virtual
  • Sep 22 - 23 9:00 AM - 4:30 PM EDT
    New York or Virtual

Scroll to view additional course dates

  • 2-Day Instructor-Led Training

  • Hands-On Labs

  • After-Course Instructor Coaching Included

Get the Advantage $3,895
  • Take this course and gain unlimited access to more than 300 virtual instructor-led courses
  • Future-proof your career with more than 100 sought-after certifications in the market
  • Build real skills through hands-on learning in more than 180 virtual labs
  • Grow your skills and capabilities with more than one course at a time and save
Thank you for choosing subscriptions!
#1259
  • Feb 4 - 5 9:00 AM - 4:30 PM EST
    Herndon, VA or Virtual
  • Mar 3 - 4 9:00 AM - 4:30 PM EST
    Ottawa or Virtual
  • Mar 31 - Apr 1 9:00 AM - 4:30 PM EDT
    New York or Virtual
  • May 5 - 6 9:00 AM - 4:30 PM EDT
    Herndon, VA or Virtual
  • Jun 2 - 3 9:00 AM - 4:30 PM EDT
    Ottawa or Virtual
  • Jul 7 - 8 9:00 AM - 4:30 PM EDT
    New York or Virtual
  • Aug 5 - 6 9:00 AM - 4:30 PM EDT
    Herndon, VA or Virtual
  • Sep 2 - 3 9:00 AM - 4:30 PM EDT
    Ottawa or Virtual
  • Sep 22 - 23 9:00 AM - 4:30 PM EDT
    New York or Virtual

Scroll to view additional course dates

  • Bring this or any training to your organization

  • Full-scale program development

  • Delivered when, where, and how you want it

  • Blended learning models

  • Tailored content

  • Expert team coaching

Get the Advantage $3,895
  • Take this course and gain unlimited access to more than 300 virtual instructor-led courses
  • Future-proof your career with more than 100 sought-after certifications in the market
  • Build real skills through hands-on learning in more than 180 virtual labs
  • Grow your skills and capabilities with more than one course at a time and save
Thank you for choosing subscriptions!
#1259
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Introduction to Machine Learning FAQs

The course will use two main tools: Azure Machine Learning Designer and AWS Sagemaker Studio. These tools are designed for non-technical business analysts.

No, the pre-built pipelines and algorithms come as part of the tools. It's similar to having a pre-built chart in MS Excel, and you can change the appearance of the chart by changing the values.

Yes! The labs will be easy for a non-technical user, and you will be able to use the exercise manual immediately to start creating no-code machine-learning models with the tools described.

This course enables individuals with no technical coding skills to leverage ML and AI technologies. It empowers a wider non-technical audience to benefit from the power of ML and AI without having to rely on data scientists and data engineers.

It simplifies the development workflow by automating complex tasks and enables collaboration and communication between technical and non-technical team members. It allows stakeholders from non-technical backgrounds to collaborate in the development of machine learning models.

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