Ai+ Training

As AI becomes more prevalent in the industry, it's creating new job opportunities and replacing traditional ones. Data scientist, AI Engineer, Data Engineer, and Machine Learning Engineer are just a few of the new roles. However, those in more traditional jobs, such as data analysts, business analysts, developers, engineers, product development roles, HR, and more are beginning to see AI used more frequently in their job roles. Whether you are looking to upskill or reskill in AI, this first session in a three-part series is a must-attend.

#1 Bootcamp Warm-up Tutorial: Data Literacy for Careers in Ai

In this 90 minute tutorial, you will discover how to use data to take advantage of trends. 

You will learn how data experts predict and forecast possible outcomes, find hidden patterns, and identify opportunities for new products and services. Topics include:

• Data Sources

• Data Types    

• Structured Data

• Analyzing Data

• How to Argue with Data

• Predictive Analytics            

• Data Fluency: From A/B Testing to What-if-Analysis

• Becoming a Data Expert: Getting Started

• Data Life Cycle

• Transforming Data

• Unstructured Data

• The Data Journey

• Descriptive Analytics

We will wrap up the tutorial with a deep dive into our Data Literacy Glossary so you can understand the key terminology when communicating with data experts.

#2 Bootcamp Warm-up Tutorial: AI Literacy for Careers in AI

The tutorial will cover: Becoming an AI Expert: Getting Started

We will wrap up the tutorial with a deep dive into our Ai Literacy Glossary so you can understand the key terminology when communicating with Ai experts.

#3 Bootcamp Warm-up Tutorial: Coding Literacy for Careers in AI

• How code works

• Coding language in Ai

• Popular coding languages

• Components of a computer language

• Data types

• Data structures and arrays

• Code control flow

• Programming libraries

• Becoming a coding expert: getting started

We will wrap up the tutorial with a deep dive into our Coding Literacy Glossary so you can understand the key terminology when communicating with coding experts.