1/2 day course

Supporting material

Private

A private training session for your team. Groups can be of any size, at a location of your choice including our training centres.

Generative AI is only as powerful as the data it holds - and public models aren’t likely to hold valuable data you’ve collected over years of running campaigns.

Work with us to understand how data operates in LLMs and take steps to ensure you fill a private model with quality data. Organising it into a generalized model will allow you to generate responses that are just for you - based on you.

This half-day lab focuses on generating responses that are highly relevant to your organization by using your existing data. We’ll start by covering some data basics before we discuss preparing data for machine learning. Then we’ll look at what unbiased data looks like, as well as feature engineering.

We’ll finish the session by giving you guidance on how to communicate with data scientists and engineers so you can confidently express your needs and work together harmoniously.

This Data Literacy for AI course is available as a private training session that can be delivered via Virtual Classroom, or at a location of your choice in the US.

Course overview

Who should attend:

This course is ideal for SMB owners performing their own marketing, senior marketing professionals, and senior business leaders, such as those working in sales.

What you'll learn:

By the end of this course, you should be able to:

Describe fundamental data concepts
Describe data classifications for Machine Learning
Prepare and modify your data
Work confidently with data scientists and engineers
Communicate the purpose of powering tools with your data

Prerequisites

In order to get the most out of this session, you'll need the knowledge and skills covered in our GenAI for Marketers: Fundamentals course.

Course agenda

Data Literacy Essentials

Data fundamentals
Data that powers Machine Learning
Data classification

Preparing Data for ML

How to prep your data
How to make changes to data
Feature engineering

Working with Data Scientists & Engineers

Tools, information and strategies
Turning ideas into solutions
Common miscommunications and pain points

Next Steps:

Consider taking the following courses to further your GenAI knowledge:

Data Literacy for AI

Buy 1 Private Course, Get 2 Scheduled Courses Free