School of Business AI & Digital Transformation · Foundation–Intermediate
AI-Powered Digital Marketing & Marketing Automation Course
Build an AI-powered marketing operating system spanning research, SEO, content, paid media, CRM automation, analytics and growth experiments.
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Digital Marketing Strategy and AI Marketing StackAI-Powered Audience and Market ResearchContent Strategy, SEO and Generative Content OperationsPaid Media and Creative Experimentation
AI assistantsCampaign planning toolsAI research toolsSpreadsheetsSearch tools
How you will learn
What you will learn, module by module
Apply AI to research, content, campaigns, customer insight and marketing operations. Progress from Digital Marketing Strategy and AI Marketing Stack to AI Marketing Capstone and Growth System through guided labs, assessed projects, and portfolio evidence.
01Module 1 · 5 hoursDigital Marketing Strategy and AI Marketing StackCreate an integrated campaign brief with audience, offer, channels, KPIs and AI use cases.
Topics you will cover
- Customer journey
- Objectives
- Channel mix
- Funnel metrics
- Positioning
- Campaign planning
- AI use cases
- Martech stack
- Responsible personalization
- Tools and platforms
- AI assistants, Campaign planning tools
- Portfolio evidence
- Marketing strategy brief
- Assessment
- Campaign brief review
02Module 2 · 7 hoursAI-Powered Audience and Market ResearchBuild evidence-based audience segments and messaging hypotheses from research inputs.
Topics you will cover
- Persona hypotheses
- Voice-of-customer
- Competitor research
- Search intent
- Review analysis
- Social listening concepts
- Research validation
- Insight synthesis
- Tools and platforms
- AI research tools, Spreadsheets, Search tools
- Portfolio evidence
- Audience insight report
- Assessment
- Research checkpoint
03Module 3 · 10 hoursContent Strategy, SEO and Generative Content OperationsCreate a 12-week SEO content plan with briefs, internal-link map and AI-assisted editorial workflow.
Topics you will cover
- Search intent
- Topic clusters
- Keyword mapping
- Content briefs
- E-E-A-T awareness
- Editorial workflows
- AI drafting
- Human review
- Originality
- On-page SEO
- Tools and platforms
- SEO tools concepts, CMS, AI assistant
- Portfolio evidence
- SEO content calendar + briefs
- Assessment
- SEO content audit
04Module 4 · 8 hoursPaid Media and Creative ExperimentationDesign a paid campaign with multiple creative hypotheses and measurement plan.
Topics you will cover
- Search/social ad structure
- Targeting
- Bidding concepts
- Creative variants
- Landing pages
- AI-assisted copy/creative
- Experiment design
- Budget pacing
- Policy awareness
- Tools and platforms
- Google Ads/Meta Ads concepts, AI creative tools
- Portfolio evidence
- Paid media experiment plan
- Assessment
- Campaign simulation
05Module 5 · 8 hoursEmail, CRM and Lifecycle AutomationBuild a lead-nurture automation map and create personalised email sequence variants.
Topics you will cover
- Lead capture
- Segmentation
- CRM fields
- Scoring concepts
- Nurture sequences
- Triggers
- Personalization
- Deliverability basics
- Consent
- Lifecycle KPIs
- Tools and platforms
- CRM/marketing automation platform concepts
- Portfolio evidence
- Marketing automation workflow
- Assessment
- Lifecycle review
06Module 6 · 7 hoursSocial Media and Community Content SystemsCreate a multi-channel social content system and repurpose one core asset into platform-native formats.
Topics you will cover
- Platform strategy
- Content pillars
- Repurposing
- Calendars
- Social copy
- Visual/video AI workflows
- Community engagement
- Moderation
- Brand voice
- Approvals
- Tools and platforms
- AI content tools, Social scheduling concepts
- Portfolio evidence
- Social content operating system
- Assessment
- Content system review
07Module 7 · 10 hoursMarketing Analytics, Attribution and Conversion OptimisationBuild a campaign performance dashboard and recommend CRO experiments based on funnel data.
Topics you will cover
- UTM discipline
- Web analytics
- Funnel analysis
- Conversion rate
- Attribution limits
- Dashboards
- Cohort concepts
- A/B tests
- Landing-page optimization
- Reporting
- Tools and platforms
- GA4 concepts, Looker/Power BI/Sheets, Testing tools concepts
- Portfolio evidence
- Marketing performance dashboard
- Assessment
- Analytics case
08Module 8 · 16 hoursAI Marketing Capstone and Growth SystemLaunch a simulated 90-day AI-powered growth plan with assets, automations, dashboard and optimisation roadmap.
Topics you will cover
- Integrated campaign
- Research
- SEO
- Content
- Paid
- CRM
- Automation
- Analytics
- Experimentation
- Governance
- Brand safety
- Executive reporting
- Tools and platforms
- AI marketing stack, CRM, Analytics, Content tools
- Portfolio evidence
- End-to-end AI marketing growth portfolio
- Assessment
- Capstone pitch and portfolio review
Projects you will build
2 portfolio projects plus module evidence
90-Day AI Growth Engine
Create an integrated programme for SEO, content, paid media, CRM and analytics with AI-assisted operations.
Campaign plan · Content assets · Automations · Dashboard · Experiment backlogAI-Powered Lead Generation System
Build a workflow for research, landing pages, nurturing and lead scoring, supported by analytics.
Audience research · Campaign assets · CRM workflow · KPI dashboard Course value
Why this course
AI-powered marketing needs more than generated content; it requires audience insight, channel strategy, automation, attribution, experimentation, and responsible optimisation.
The curriculum progresses from Digital Marketing Strategy and AI Marketing Stack to AI Marketing Capstone and Growth System, with guided labs, assessments, and two portfolio projects: 90-Day AI Growth Engine and AI-Powered Lead Generation System.
Who this course is for
Marketing professionals, founders, growth teams and career switchers applying AI and automation to marketing.
Foundation–IntermediateBusiness AI & Automation Specialist
PrerequisitesNo coding experience is required. Basic marketing or business familiarity is helpful.
What you will be able to do
- Create an integrated campaign brief with audience, offer, channels, KPIs and AI use cases.
- Build evidence-based audience segments and messaging hypotheses from research inputs.
- Create a 12-week SEO content plan with briefs, internal-link map and AI-assisted editorial workflow.
- Design a paid campaign with multiple creative hypotheses and measurement plan.
- Build a lead-nurture automation map and create personalised email sequence variants.
- Build a campaign performance dashboard and recommend CRO experiments based on funnel data.
- Launch a simulated 90-day AI-powered growth plan with assets, automations, dashboard and optimisation roadmap.
Technology you will use in this course
AI assistantsCampaign planning toolsAI research toolsSpreadsheetsSearch toolsSEO tools conceptsCMSAI assistantGoogle AdsMeta Ads conceptsAI creative toolsCRMMarketing automation platform conceptsAI content toolsSocial scheduling conceptsGA4 concepts
Career relevance
Business AI & Automation Specialist
This course supports the development of skills relevant to roles such as AI Digital Marketer, Marketing Automation Specialist and growth or performance marketing roles. The strongest learner outcome is a portfolio that shows the problem, implementation, testing or evaluation, documentation and a clear explanation of decisions—not a certificate alone.
Course evidence and instruction
Discuss your learning pathway
Review prerequisites, learning format and project expectations with admissions before enrolment.
Get course guidanceExplore the course projects
Review the project briefs and deliverables to understand the work expected during the course.
Review project expectationsTechnology references
Technology names identify learning tools and do not imply an employer partnership or endorsement.
Microsoft
Clear answers before you enrol
Is the AI Digital Marketing course suitable for beginners?
This course progresses from foundation to intermediate level. No coding experience is required. Basic marketing or business familiarity is helpful.
What will I build during the course?
You will complete guided labs in every module and build two portfolio projects: 90-Day AI Growth Engine and AI-Powered Lead Generation System. Deliverables include working files or code, documentation, testing or evaluation evidence, and a final presentation.
Which tools and platforms are covered?
Key tools include AI assistants, campaign planning tools, AI research tools, spreadsheets, search tools, SEO tools concepts, CMS, and AI assistant. Additional platforms are introduced in relevant modules through practical tasks, and the toolset may evolve as industry practice changes.
How long does the course take?
The course includes approximately 71 guided learning hours across 8 modules, normally delivered over 9–11 weeks depending on batch intensity and learner practice time.
Which career paths can this course support?
The curriculum supports the development of skills relevant to roles such as AI Digital Marketer, Marketing Automation Specialist and growth or performance marketing roles. Career outcomes depend on prior experience, project quality, interview readiness and market conditions; employment is not guaranteed.
Will I receive mentor and career support?
The course includes live instruction, lab support, assignment feedback, project reviews and career preparation covering portfolio development, CV writing, LinkedIn profile improvement, and interview guidance.
Ready to start?
A-56, Sector-64, Noida, Uttar Pradesh – 201301Ready to start your AI-Powered Digital Marketing & Marketing Automation journey?
Review the full curriculum, experience a live class and confirm the right starting point before enrolling.