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IT: Artificial Intelligence & Data
Foundations of Generative AI
Curriculum
1 Section
28 Lessons
30 hours
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Unit 1 — Foundations of Generative AI
28
1.1
Comparing Different Account Versions of ChatGPT
20 mins
1.2
Summarizing GPT Models
20 mins
1.3
Sparking Controversy and Conflict
20 mins
1.4
Grokking Words Are the New Computer Code
20 mins
1.5
Thinking Like a Machine
20 mins
1.6
Formatting in Prompting
20 mins
1.7
Starting at the End: Defining Desired Outputs before Prompting
20 mins
1.8
Output Stitching
20 mins
1.9
Comparing ChatGPT to Search Engines and Analytics
20 mins
1.10
Using ChatGPT for Marketing
20 mins
1.11
Changing the Structure of Education
20 mins
1.12
Finding ChatGPT’s Sweet Spots in Image Creation
20 mins
1.13
Understanding Why ChatGPT-only–Generated Works Usually Don’t Sell
20 mins
1.14
Grasping Why Human Talent Is Still Needed
20 mins
1.15
Dying Keywords
20 mins
1.16
Simplify a Lease Agreement before You Sign It
20 mins
1.17
Interactive Stories
20 mins
1.18
Integrating into Everyday Applications
20 mins
1.19
Setting Up an Individual Account
20 mins
1.20
Leaping from Unimodal to the Multimodal GPT Models
20 mins
1.21
Defining Responsible AI
20 mins
1.22
Grasping Your “Relationship” with ChatGPT
20 mins
1.23
Prompting for Text versus Non-Text Outputs
20 mins
1.24
Prompting ChatGPT to Generate Computer Code
20 mins
1.25
Managing Data for Targeted Impact on Outputs
20 mins
1.26
AI Chaining, aka “Model Chaining” or “Pipeline Chaining”
20 mins
1.27
Moving from BI (Business Intelligence) Apps to ChatGPT
20 mins
1.28
Retrieving Smart Answers for HR
20 mins
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