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Applied AI for Marketing Operations
Curriculum
1 Section
32 Lessons
30 hours
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Unit 2 — Applied AI for Marketing Operations
32
1.1
Sourcing the Right Customer Data
20 mins
1.2
Scoring Leads with the Help of AI
20 mins
1.3
Ramping Up Your Measurement Operations
20 mins
1.4
Deciding whether AI Hallucinations Are a Feature or a Bug
20 mins
1.5
Writing Strong Prompts to Guide AI Responses
20 mins
1.6
Exploring an Approach for Creating Visual Assets with AI
20 mins
1.7
Strategies for SEO Success in the AI Era
20 mins
1.8
Surveying A/B Testing Extensions
20 mins
1.9
Adopting Core Strategies for Localization
20 mins
1.10
Exploring Meta Advantage+ Campaigns
20 mins
1.11
Adding the Power of AI to E-mail and SMS Marketing
20 mins
1.12
Examining Personalization Concepts
20 mins
1.13
Building AI Capability within Marketing
20 mins
1.14
Using All Data Responsibly
20 mins
1.15
Depending Solely on Generated Personas
20 mins
1.16
Autonomous Creative Campaigns
20 mins
1.17
The Dartmouth Conference of 1956
20 mins
1.18
Accelerating Research and Development
20 mins
1.19
Taking Foundational Steps Toward AI Marketing
20 mins
1.20
Putting Your Marketing Data in Its Place
20 mins
1.21
Supervised and Unsupervised Learning
20 mins
1.22
Examining Transformers and Attention Mechanisms
20 mins
1.23
The AI System Development Lifecycle
20 mins
1.24
Creating New Text, Images, and Video
20 mins
1.25
Seeing How AI Performs Segmentation
20 mins
1.26
Calculating Lifetime Value to Affect Lead Scoring
20 mins
1.27
Checking Out Tools for Churn Modeling and Measurement Operations
20 mins
1.28
Following Practical Steps for Idea Generation with AI
20 mins
1.29
Good and Bad Marketing Prompt Design Examples
20 mins
1.30
Enhancing Existing Creative Assets
20 mins
1.31
Enhancing the User Experience with AI
20 mins
1.32
Gathering AI Tools for A/B Testing
20 mins
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