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Description
Curriculum
Reviews
Grade
Level 6 Marketing Manager - May 25
Keith-Ai In Marketing
Instructor
Keith Rowland
26
Students
enrolled
0
0 reviews
Course details
Lectures
:
138
Quizzes
:
47
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 26/6/2026
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 3/7/2026
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 10/7/2026
77
Part1: Responsible AI,autonomy and control
Video lesson
78
Part1: Responsible AI,autonomy and control
PDF lesson
79
Part1: Responsible AI,autonomy and control
Audio lesson
80
Q1: Responsible AI,autonomy and control
20 questions
Practice quiz for Lecture 7 Part 1. Choose the one best answer for each scenario.
81
Part2: Algorithmic transparency, bias and non-discrimination in targeting
Video lesson
82
Part2: Algorithmic transparency, bias and non-discrimination in targeting
PDF lesson
83
Part2: Algorithmic transparency, bias and non-discrimination in targeting
Audio lesson
84
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.
85
Part3: Manipulation, consent, deepfakes, and excessive personalisation
Video lesson
86
Part3: Manipulation, consent, deepfakes, and excessive personalisation
PDF lesson
87
Part3: Manipulation, consent, deepfakes, and excessive personalisation
Audio lesson
88
Q3: Manipulation, consent, deepfakes, and excessive personalisation
20 questions
Practice quiz for Lecture 7 Part 3. Choose the one best answer for each scenario.
89
L7: Autonomy,Algorithmic Transparency ,Fate ,Fairness and Consent
Text lesson
90
Assignment L7
PDF lesson
L8: Communication, collaboration, change and data-ready AI planning 17/7/2026
91
P1-VID-Communication, Collaboration and Change Readiness
Video lesson
92
Part 1: Communication, Collaboration and Change Readiness
PDF lesson
93
p1 Communication, Collaboration and Change Readiness
Audio lesson
94
Q1: Communication, Collaboration and Change Readiness
20 questions
This quiz contains 20 single-choice questions based only on Lecture 8 materials.
95
Part 2-VID-Data Collection, Governance, Management and Compliance
Video lesson
96
Part 2: Data Collection, Governance, Management and Compliance
PDF lesson
97
p2 Data Collection, Governance, Management and Compliance
Audio lesson
98
Q2: Data Collection, Governance, Management and Compliance
20 questions
This quiz contains 20 single-choice questions based only on Lecture 8 materials.
99
Part3-VID- Communication, collaboration, change and data-ready AI planning
Video lesson
100
Part3: Communication, collaboration, change and data-ready AI planning
PDF lesson
101
p3 Strategic Planning and Bias Mitigation
Audio lesson
102
Q3: Communication, collaboration, change and data-ready AI planning
20 questions
This quiz contains 20 single-choice questions based only on Lecture 8 materials.
103
Assignment of lec8
PDF lesson
L 9 : Evaluating AI models, real-time data, email automation and cloud-enabled MarTech 24/7/2026
104
P1:Evaluating AI models with marketing data
Video lesson
105
P1:Evaluating AI models with marketing data
PDF lesson
106
P1:Evaluating AI models with marketing data
Audio lesson
107
Q1:Evaluating AI models with marketing data
20 questions
Quiz 1: Part 1 - Evaluating AI Models with Marketing Data - 20 single-choice questions.
108
Part 2: Real-time data, streaming data and cloud computing
Video lesson
109
Part 2: Real-time data, streaming data and cloud computing
PDF lesson
110
P2:Real-time data, streaming data and cloud computing
Audio lesson
111
Q2: Real-time data, streaming data and cloud computing
20 questions
Quiz 2: Part 2 - Real-Time Data, Streaming Data and Cloud Computing - 20 single-choice questions.
112
Part 3: Cross-functional teams and existing email tools
Video lesson
113
Part 3: Cross-functional teams and existing email tools
PDF lesson
114
P3:Cross-functional teams and existing email tools
Audio lesson
115
Q3: Cross-functional teams and existing email tools
20 questions
Quiz 3: Part 3 - Cross-Functional Teams and Existing Email Tools - 20 single-choice questions.
116
Assignment of lec9
PDF lesson
L10:AI Tools, Personalisation and Strategic Planning 31/7/2026
117
P1: AI tool categories and the marketing technology stack.
Video lesson
118
P1: AI tool categories and the marketing technology stack.
PDF lesson
119
P1: AI tool categories and the marketing technology stack.
Audio lesson
120
Q1: AI tool categories and the marketing technology stack.
20 questions
Complete all 20 questions and select the single best answer for each item. This quiz covers Part 1 - AI Tool Categories and the MarTech Stack.
121
P2: AI for content, campaign optimisation, personalisation and recommendations.
Video lesson
122
P2: AI for content, campaign optimisation, personalisation and recommendations.
PDF lesson
123
P2: AI for content, campaign optimisation, personalisation and recommendations.
Audio lesson
124
Q2: AI for content, campaign optimisation, personalisation and recommendations.
20 questions
Complete all 20 questions and select the single best answer for each item. This quiz covers Part 2 - AI Content, Optimisation and Personalisation.
125
P3: Strategic planning, organisational alignment and data bias mitigation.
Video lesson
126
P3: Strategic planning, organisational alignment and data bias mitigation.
PDF lesson
127
P3: Strategic planning, organisational alignment and data bias mitigation.
Audio lesson
128
Q3: Strategic planning, organisational alignment and data bias mitigation.
20 questions
Complete all 20 questions and select the single best answer for each item. This quiz covers Part 3 - Strategic Planning, Organisational Alignment and Data Bias.
129
Assgniment lec10
PDF lesson
130
lec10 quiz
20 questions
Complete all 20 questions and select the single best answer for each item. This is the overall chapter quiz covering Parts 1 to 3.
L 11 AI-driven campaign design and execution 7/8/2026
131
VID1: social media analytics,sentiment and insight-led campaign design
Video lesson
132
Part1: social media analytics,sentiment and insight-led campaign design
PDF lesson
133
p1 Social media analytics, sentiment and insight-led campaign design
Audio lesson
134
Q1: Social media analytics, sentiment and insight-led campaign design
20 questions
135
VID2: Predictive Analytics, Segmentation and Persona Development
Video lesson
136
Part2: Predictive Analytics, Segmentation and Persona Development
PDF lesson
137
p2 Predictive analytics, segmentation and persona development
Audio lesson
138
Q2: Predictive analytics, segmentation and persona development
20 questions
139
VID3: Programmatic Advertising and Marketing Activity Automation
Video lesson
140
Part3: Programmatic Advertising and Marketing Activity Automation
PDF lesson
141
p3 Programmatic advertising and marketing activity automation
Audio lesson
142
Q3: Programmatic advertising and marketing activity automation
20 questions
143
Assignment lec11
PDF lesson
144
Overall Quiz lec11
20 questions
Lecture 11 overall quiz - 20 single-choice questions.
L12: Marketing planning, implementation and performance evalution for AI-enabled marketing 14/8/2026
145
V1: Planning AI use before selecting tools
Video lesson
146
P1: Planning AI use before selecting tools
PDF lesson
147
P1:Planning AI use before selecting tools
Audio lesson
148
Q1: Planning AI use before selecting tools
20 questions
Answer each workplace scenario by selecting the one best answer.
149
V2: Implementation planning
Video lesson
150
P2: Implementation planning
PDF lesson
151
P2: Implementation planning
Audio lesson
152
Q2: Implementation planning
20 questions
Answer each workplace scenario by selecting the one best answer.
153
V3: Measuring AI impact
Video lesson
154
P3: Measuring AI impact
PDF lesson
155
P3: Measuring AI impact
Audio lesson
156
Q3: Measuring AI impact
20 questions
Answer each workplace scenario by selecting the one best answer.
157
Assignment Lec12
PDF lesson
158
Lec12 Quiz
20 questions
Answer each workplace scenario by selecting the one best answer.
L13 : Strategic AI Implementation and Business impact 21/8/2026
159
P1: Communication,collabration and change readiness
Video lesson
160
P1: Communication,collabration and change readiness
PDF lesson
161
P1: Communication,collabration and change readiness
Audio lesson
162
Q1: Communication,collabration and change readiness
20 questions
163
P2: Ethical AI ,regulation,compliance and governance
Video lesson
164
P2: Ethical AI ,regulation,compliance and governance
PDF lesson
165
P2: Ethical AI ,regulation,compliance and governance
Audio lesson
166
Q2: Ethical AI ,regulation,compliance and governance
20 questions
167
P3: Enhanced personalisation and data-driven decisions
Video lesson
168
P3: Enhanced personalisation and data-driven decisions
PDF lesson
169
Q3: Enhanced personalisation and data-driven decisions
Audio lesson
170
Q3: Enhanced personalisation and data-driven decisions
40 questions
171
Assignment of lec13
PDF lesson
172
lec13 quiz
20 questions
L14: AI performance, optimisation and continuous improvement 28/8/2026
173
P1: Predictive analytics, accuracy and metrics
PDF lesson
174
P1: Predictive analytics, accuracy and metrics
Audio lesson
175
P1:live: Predictive analytics, accuracy and metrics
Video lesson
176
Q1: Predictive analytics, accuracy and metrics
20 questions
177
P2: Automation,optimisation and managed risk
PDF lesson
178
P2: Automation,optimisation and managed risk
Audio lesson
179
P2:live: Automation,optimisation and managed risk
Video lesson
180
Q2: Automation,optimisation and managed risk
20 questions
181
P3: Stakeholders, job impacts and future readiness
PDF lesson
182
P3: Stakeholders, job impacts and future readiness
Audio lesson
183
P3:live: Stakeholders, job impacts and future readiness
Video lesson
184
Q3: Stakeholders, job impacts and future readiness
20 questions
185
lec14 Quiz
20 questions
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