learning path

The Beginners Guide to Machine Learning and Artificial Intelligence

Up to 3h 10m
Enhance your skill setDevelop essential skills for thriving in real-world scenarios.
Stay focused, stay committedBoost your learning journey by enrolling: stay focused, consistent and achieve your goals with ease.
Earn a certificate of completionShow your skills and build your credibility when you include them in your resume and LinkedIn profile.

Welcome ​to an introduction to using artificial intelligence and machine learning! This course 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 course, 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 course is designed for those who want entry-level experience of machine learning and AI, starting with the very basics. 


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

Your certificate for this learning path
Calculated Systems
This content is developed in partnership with Calculated Systems
Learn more

About the Author

Learning paths

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.

Covered Topics