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Description
Curriculum
Reviews
Grade
Level 6 Marketing Manager - May 25
Keith-Ai In Marketing
Instructor
Keith Rowland
24
Students
enrolled
0
0 reviews
Course details
Lectures
:
87
Quizzes
:
27
Level
:
Intermediate
Description
Curriculum
L1 :AI Foundations for Marketing Managers 22/5/2026
1
VID1 -Machine learning as a marketing capability
Video lesson
2
P1 - PPT-Machine learning as a marketing capability
PDF lesson
3
P1: Machine learning as a marketing capability
Audio lesson
4
Q1 -Machine learning as a marketing capability
20 questions
5
VID 2- Neural networks and NLP in marketing
Video lesson
6
P2 -PPT- Neural networks and NLP in marketing
PDF lesson
7
P2: Neural networks and NLP in marketing
Audio lesson
8
Q2 - Neural networks and NLP in marketing
20 questions
9
VID 3 - Prompt engineering as a marketing management skill
Video lesson
10
P3 -PPT- Prompt engineering as a marketing management skill
PDF lesson
11
P3: Prompt engineering as a marketing management skill
Audio lesson
12
Q3 -Prompt engineering as a marketing management skill
20 questions
13
PPT-L1 :AI Foundations for Marketing Managers.
PDF lesson
L2 : Data Foundations for AI in Marketing - 4Vs, Data Types, Quality and Sources 29/5/2026
14
VID 1- opener: Data as the foundation of AI
Video lesson
15
P1-PPT- opener: Data as the foundation of AI
PDF lesson
16
P1: Data as the foundation of AI
Audio lesson
17
Q1: opener: Data as the foundation of AI
20 questions
Answer all questions. Each scenario asks for the best applied marketing decision based on the lecture material.
18
VID 2 - opener: Data quality before AI quality
Video lesson
19
P2-PPT- opener: Data quality before AI quality
PDF lesson
20
P2: Data quality before AI quality
Audio lesson
21
Q2: opener: Data quality before AI quality
20 questions
Answer all questions. Each scenario asks for the best applied marketing decision based on the lecture material.
22
VID 3- opener: Sources of marketing data for AI
Video lesson
23
P3-PPT- opener: Sources of marketing data for AI
PDF lesson
24
P3: Sources of marketing data for AI
Audio lesson
25
Q3: opener: Sources of marketing data for AI
20 questions
Answer all questions. Each scenario asks for the best applied marketing decision based on the lecture material.
26
PPT-Data Foundations for AI in Marketing - 4Vs, Data Types, Quality and Sources
PDF lesson
L3: Data, Models and Outputs Across the Marketing Mix 12/6/26
27
VID 1 - Overview: From Marketing Data to AI-Ready Evidence
Video lesson
28
P1 -PPT - Overview: From Marketing Data to AI-Ready Evidence
PDF lesson
29
P1: From Marketing Data to AI-Ready Evidence
Audio lesson
30
Q1- From Marketing Data to AI-Ready Evidence
20 questions
Advanced single-choice quiz on Techniques for Marketing Data Collection and Pre-Processing for AI in Marketing, Marketing Manager Level 6 learners.
31
VID 2- Training, Validation and Testing
Video lesson
32
P2-PPT- Training, Validation and Testing
PDF lesson
33
P2: Training, Validation and Testing
Audio lesson
34
Q2-Training, Validation and Testing
20 questions
Advanced single-choice quiz on Training, Validation, Testing and Cross-Validation for AI in Marketing, Marketing Manager Level 6 learners.
35
VID 3- Algorithms and Content Outputs
Video lesson
36
P3-PPT- Algorithms and Content Outputs
PDF lesson
37
P3: Algorithms and Content Outputs
Audio lesson
38
AI in Marketing Lecture 3 - Part 3 Quiz
20 questions
Advanced single-choice quiz on Algorithms and Content Outputs for AI in Marketing, Marketing Manager Level 6 learners.
39
PPT - L13 :Data, Models and Outputs Across the Marketing Mix
PDF lesson
L4:Benefits of AI in Marketing — Automation, Accuracy, Resources, Insight, Customer Experience and Competitive Advantage 19/6/26
40
Part 1 —VID - Automation, Accuracy and Resource Capability
Video lesson
41
Part 1 — Automation, Accuracy and Resource Capability
PDF lesson
42
Part 1 — Automation, Accuracy and Resource Capability
Audio lesson
43
Part 1 — Automation, Accuracy and Resource Capability
20 questions
20 single-choice questions on AI automation, accuracy, resource capability, workflow triage, governance and business-case evidence.
44
Part 2 —VID - Insight, Segmentation and Predictive Analysis
Video lesson
45
Part 2 — Insight, Segmentation and Predictive Analysis
PDF lesson
46
Part 2 — Insight, Segmentation and Predictive Analysis
Audio lesson
47
Part 2 — Insight, Segmentation and Predictive Analysis
20 questions
20 single-choice questions on AI-enabled insight, data sources, dynamic segmentation, predictive analytics, evaluation and insight activation.
48
Part 3 — VID - Customer Experience, Content Curation and Advantage
Video lesson
49
Part 3 — Customer Experience, Content Curation and Advantage
PDF lesson
50
Part 3 — Customer Experience, Content Curation and Advantage
Audio lesson
51
Part 3 — Customer Experience, Content Curation and Advantage
20 questions
20 single-choice questions on customer experience, content curation, personalisation, responsible AI, measurement and competitive advantage.
L5:Customer Adoption and AI Acceptance
52
Part 1:LIVE- Understanding Customer Adoption of AI
Video lesson
53
Part 1: Understanding Customer Adoption of AI
PDF lesson
54
Part 1: Understanding Customer Adoption of AI
Audio lesson
55
Part 1: Understanding Customer Adoption of AI
20 questions
20 single-choice questions on TAM, AI acceptance, customer trust, perceived risk, control, diffusion readiness and B2B/B2C adoption patterns.
56
Part 2: LIVE- Strategic Alignment, Customisation and Experience
Video lesson
57
Part 2: Strategic Alignment, Customisation and Experience
PDF lesson
58
Part 2: Strategic Alignment, Customisation and Experience
Audio lesson
59
Part 2: Strategic Alignment, Customisation and Experience
20 questions
20 single-choice questions on strategic brand alignment, customisation, personalisation, journey orchestration, consent, creepiness and AI-enabled experience measurement.
60
Part 3: LIVE-AI Literacy and Managing Customer Expectations
Video lesson
61
Part 3: AI Literacy and Managing Customer Expectations
PDF lesson
62
Part 3: AI Literacy and Managing Customer Expectations
Audio lesson
63
Part 3: AI Literacy and Managing Customer Expectations
20 questions
20 single-choice questions on AI literacy, scope, disclosure, escalation, service blueprinting, B2B trust, recovery, governance and communication planning.
L6: Ethics,Goverance and responsible AI in marketing
64
P1-VID-Why responsible AI is a marketing issue
Video lesson
65
P1: Why responsible AI is a marketing issue
PDF lesson
66
P1: Why responsible AI is a marketing issue
Audio lesson
67
Q1: Why responsible AI is a marketing issue
20 questions
Quiz 1: Part 1 - FATE, Ethics and Corporate Digital Responsibility - 20 single-choice questions.
68
P2-VID-Accountability and liability in AI-enabled marketing
Video lesson
69
P2: Accountability and liability in AI-enabled marketing
PDF lesson
70
P2: Accountability and liability in AI-enabled marketing
Audio lesson
71
Quiz 2: Accountability, Liability and Governance
20 questions
Quiz 2: Part 2 - Accountability, Liability and Governance - 20 single-choice questions.
72
P3-VID-Data protection and fairness by design
Video lesson
73
P3: Data protection and fairness by design
PDF lesson
74
P3: Data protection and fairness by design
Audio lesson
75
Q3: Data protection and fairness by design
20 questions
Quiz 3: Part 3 - Data Protection, Privacy and Fairness by Design - 20 single-choice questions.
76
Ethics,goverance and responsible AI in marketing
Text lesson
L7: Autonomy,Algorithmic Transparency ,Fate ,Fairness and Consent
77
Part1: Responsible AI,autonomy and control
PDF lesson
78
Part1: Responsible AI,autonomy and control
Audio lesson
79
Q1: Responsible AI,autonomy and control
20 questions
Practice quiz for Lecture 7 Part 1. Choose the one best answer for each scenario.
80
Part2: Algorithmic transparency, bias and non-discrimination in targeting
PDF lesson
81
Part2: Algorithmic transparency, bias and non-discrimination in targeting
Audio lesson
82
Q2: Algorithmic transparency, bias and non-discrimination in targeting
20 questions
Practice quiz for Lecture 7 Part 2. Choose the one best answer for each scenario.
83
Part3: Manipulation, consent, deepfakes, and excessive personalisation
PDF lesson
84
Part3: Manipulation, consent, deepfakes, and excessive personalisation
Audio lesson
85
Q3: Manipulation, consent, deepfakes, and excessive personalisation
20 questions
Practice quiz for Lecture 7 Part 3. Choose the one best answer for each scenario.
86
L7: Autonomy,Algorithmic Transparency ,Fate ,Fairness and Consent
Text lesson
87
Assignment L7
PDF lesson
L8: Communication, collaboration, change and data-ready AI planning
88
Part 1: Communication, Collaboration and Change Readiness
PDF lesson
89
p1 Communication, Collaboration and Change Readiness
Audio lesson
90
Q1: Communication, Collaboration and Change Readiness
20 questions
This quiz contains 20 single-choice questions based only on Lecture 8 materials.
91
Part 2: Data Collection, Governance, Management and Compliance
PDF lesson
92
p2 Data Collection, Governance, Management and Compliance
Audio lesson
93
Q2: Data Collection, Governance, Management and Compliance
20 questions
This quiz contains 20 single-choice questions based only on Lecture 8 materials.
94
Part3: Communication, collaboration, change and data-ready AI planning
PDF lesson
95
p3 Strategic Planning and Bias Mitigation
Audio lesson
96
Q3: Communication, collaboration, change and data-ready AI planning
20 questions
This quiz contains 20 single-choice questions based only on Lecture 8 materials.
97
Assignment of lec8
PDF lesson
L 9 : Evaluating AI models, real-time data, email automation and cloud-enabled MarTech
98
P1:Evaluating AI models with marketing data
Audio lesson
99
P2:Real-time data, streaming data and cloud computing
Audio lesson
100
P3:Cross-functional teams and existing email tools
Audio lesson
L 11 AI-driven campaign design and execution
101
p1 Social media analytics, sentiment and insight-led campaign design
Audio lesson
102
Q1 P1: Social media analytics, sentiment and insight-led campaign design
20 questions
103
p2 Predictive analytics, segmentation and persona development
Audio lesson
104
Q2 P2: Predictive analytics, segmentation and persona development
20 questions
105
p3 Programmatic advertising and marketing activity automation
Audio lesson
106
Q3 P3: Programmatic advertising and marketing activity automation
20 questions
L 12
107
P1:Planning AI use before selecting tools
Audio lesson
108
P2: Implementation planning
Audio lesson
109
P3: Measuring AI impact
Audio lesson
L13
110
P1
Audio lesson
111
P2
Audio lesson
L14
112
P1: AI Tool Categories and the MarTech Stack
Audio lesson
113
P2: Content, Optimisation and Personalisation
Audio lesson
114
P3: Strategic Planning and Data Bias
Audio lesson
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