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 firstname.lastname@example.org.
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.
This learning path 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 learning path involve hands-on work and manipulating basic data structures and scripts.
Learning Path Steps
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
Knowledge Check: Introduction to Machine Learning - Part 1
This course covers ML training concepts, release processes, and how ML services are used in a commercial setting.
This lab is aimed at machine learning beginners who want to understand how to train custom models.
Knowledge Check: Introduction to Machine Learning - Part 2
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.