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IT: Artificial Intelligence & Data
AI for Marketing and Automation
Curriculum
1 Section
28 Lessons
30 hours
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Unit 3 — AI for Marketing and Automation
28
1.1
Determining How Customers Feel
20 mins
1.2
Scaling Paid Advertising ROI
20 mins
1.3
Measuring the Return on Investment of Conversational AI Chatbots
20 mins
1.4
Navigating Career Transitions
20 mins
1.5
Making Quick Checks Before and After Using AI
20 mins
1.6
Not Checking Outputs for Errors and Biases
20 mins
1.7
You Have More Creative Ideas than Time to Implement Them
20 mins
1.8
Deploying AI-Enhanced SEO and Content Strategies
20 mins
1.9
Navigating the AI-Human Partnership
20 mins
1.10
Choosing the Right Output Type for Your Project
20 mins
1.11
Looking at Some Real-World Examples of AI Tools
20 mins
1.12
Looking at Quick Prompting Techniques
20 mins
1.13
AI Tools for Predictive Writing
20 mins
1.14
Providing What Customers Want
20 mins
1.15
Tracking Key Performance Indicators with AI
20 mins
1.16
Integrating Conversational AI Chatbots into Existing Systems
20 mins
1.17
Becoming an Early Adopter
20 mins
1.18
Responding to Issues
20 mins
1.19
Using Offensive, Unethical, or Dangerous Prompts
20 mins
1.20
You Want to Automate Your Marketing Tasks
20 mins
1.21
Conducting Data Analysis for Customer Insights
20 mins
1.22
Unpacking the Mechanics of Generative AI
20 mins
1.23
Getting into Workflow Automation
20 mins
1.24
Deploying Best Practices to Get the Most from Your Prompts
20 mins
1.25
Optimizing Copy and Social Media Content for Marketers
20 mins
1.26
Predicting What Customers Will Do
20 mins
1.27
Innovating New Offers
20 mins
1.28
Personalizing Customer Interactions
20 mins
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