The Beginners Guide to Machine Learning and Artificial Intelligence

Developed with Calculated Systems
OverviewStepsAuthor
Calculated Systems
This content is developed in partnership with Calculated Systems
DifficultyBeginner
AVG Duration2h
Students973
Ratings
5/5
starstarstarstarstar
Content
221

Description

Welcome ​to an introduction to using artificial intelligence and machine learning! This learning path provides an introduction to machine learning for beginners and​ is designed to be a gentle introduction, which means we'll be starting from the ground up and focusing on giving students the tools and materials they need to navigate the space.

As such, we will also include the necessary skills around data engineering, cloud management, and even some systems engineering. 

If you have any feedback relating to this learning path, please contact us at support@cloudacademy.com.

Learning Objectives

By the end of this course, you will hopefully understand how to take more advanced courses and even springboard into handling complex tasks in your day-to-day activities, whether they be in a professional, student, or hobbyist environment.

Intended Audience

This learning path is designed for those who want entry-level experience of machine learning and AI, starting with the very basics. 

Prerequisites

It helps if you have a light data engineering or developer background as several parts of this learning path involve hands-on work and manipulating basic data structures and scripts.

Certificate

Your certificate for this learning path
lock

Training Content

1
Course - Beginner - 29m
Introduction to Machine Learning - Part One
This class​ is designed to be a gentle introduction, which means we'll be starting at the ground up and focusing on giving students the tools and materials they need to navigate the space
2
Exam - 25m
Knowledge Check: Introduction to Machine Learning - Part 1
Knowledge Check: Introduction to Machine Learning - Part 1
3
Course - Beginner - 31m
Introduction to Machine Learning - Part Two
This course covers ML training concepts, release processes, and how ML services are used in a commercial setting.
4
Hands-on Lab - Beginner - 2h 30m
Machine Learning - Training Custom Models
This lab is aimed at machine learning beginners who want to understand how to train custom models.
5
Exam - 25m
Knowledge Check: Introduction to Machine Learning - Part 2
Knowledge Check: Introduction to Machine Learning - Part 2
About the Author
Students9248
Labs31
Courses13
Learning paths21

Calculated Systems was founded by experts in Hadoop, Google Cloud and AWS. Calculated Systems enables code-free capture, mapping and transformation of data in the cloud based on Apache NiFi, an open source project originally developed within the NSA. Calculated Systems accelerates time to market for new innovations while maintaining data integrity.  With cloud automation tools, deep industry expertise, and experience productionalizing workloads development cycles are cut down to a fraction of their normal time. The ability to quickly develop large scale data ingestion and processing  decreases the risk companies face in long development cycles. Calculated Systems is one of the industry leaders in Big Data transformation and education of these complex technologies.