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01 //Training course

Digital Marketing with AI

Track
AI & Emerging Technologies
Duration
60 Days
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02 //Why this course

Why this course.

Digital Marketing with AI is proposed as a 60-day, AI-native growth-marketing program. It combines core digital marketing strategy with generative AI, AI-assisted research, content production, SEO/AEO/GEO-oriented discovery, paid media, personalization, automation, analytics and emerging AI-native advertising workflows.

The program should not position AI as a replacement for marketing judgment. Instead, learners should use AI to accelerate research, ideation, production, experimentation and analysis while retaining human responsibility for brand strategy, factual accuracy, customer understanding, creative quality, privacy and final decisions.

03 //Curriculum

Course phases.

04 //Technology stack

The tools you'll work with.

  1. LLM assistants

    Research, ideation, copy, analysis and workflow support

    • ChatGPT or equivalent LLM platforms

  2. Research

    Demand, audience and market discovery

    • Google Trends + search/competitor research tools

  3. SEO

    Search visibility and content optimization

    • Google Search Console + SEO platform concepts

  4. Analytics

    Traffic, events, conversions and funnel analysis

    • Google Analytics 4

  5. Content

    Design and creative production

    • Canva/Figma + AI creative tools

  6. Video

    Short-form and campaign video production

    • AI-assisted video/script/storyboard tools

  7. Social

    Publishing, engagement and distribution

    • Meta/LinkedIn/X/other platform tools

  8. Paid media

    Acquisition and campaign experimentation

    • Google Ads + Meta Ads + emerging AI-ad platforms

  9. CRM

    Lead context, segmentation and lifecycle

    • HubSpot/Salesforce or equivalent

  10. Automation

    Cross-tool marketing operations

    • Workflow automation platform + APIs/webhooks

  11. Data/reporting

    Dashboards and KPI reporting

    • Looker Studio or equivalent

  12. AI agents

    Supervised multi-step marketing automation

    • Agent/workflow frameworks and tool-calling concepts

05 //Projects and practice

Learning by doing.

  1. 01

    AI Marketing Strategy Brief

    Audience, funnel, positioning, KPIs and AI use-case mapping

  2. 02

    Market Intelligence Pack

    Research prompts, competitor analysis, trends and source validation

  3. 03

    Marketing Prompt Library

    Reusable prompts for research, content, ads, SEO and analytics

  4. 04

    AI Content Engine

    Copy, visuals, video concepts, repurposing and QA

  5. 05

    AI Search Visibility System

    SEO, AEO/GEO concepts, entities and content architecture

  6. 06

    AI Social Campaign

    Platform adaptation, creative variants and publishing workflow

  7. 07

    AI Performance Campaign

    Ads, audience, creative testing, tracking and optimization

  8. 08

    AI Lead Funnel

    Landing page, offer, CTA, personalization and CRO

  9. 09

    AI CRM Workflow

    Segmentation, email, nurture and automation

  10. 10

    Marketing Analytics Copilot

    Dashboard, KPI analysis and AI-assisted insight synthesis

  11. 11

    Marketing Agent Prototype

    Research/reporting/content workflow with human approval

  12. 12

    Integrated AI Growth Campaign

    End-to-end strategy, execution, measurement and optimization

06 //Capstone

Capstone options.

  • 01

    AI-Powered B2B Lead Generation

    Build an AI-assisted research, content, LinkedIn/search, landing-page, nurture and analytics system.

  • 02

    AI-Powered D2C Growth Campaign

    Create product positioning, creative variants, paid acquisition, CRO and lifecycle marketing.

  • 03

    AI Marketing Operating System for a Local Business

    Build local discovery, content, reviews, lead capture, CRM and reporting workflows.

  • 04

    SaaS AI Demand-Generation Engine

    Develop SEO/AEO content, paid campaigns, lead magnets, email nurture and AI-assisted reporting.

  • 05

    AI Personal Brand Growth System

    Create positioning, content engine, search visibility, social distribution and analytics.

  • 06

    Marketing Agent Workflow

    Build a supervised agent workflow that researches a topic, produces a campaign brief, creates asset drafts and generates a performance/reporting summary.

07 //Assessment

How progress is checked.

  • Daily AI-assisted marketing exercises.
  • Prompt design and output-evaluation checkpoints.
  • Market/audience research assessment with source validation.
  • Content and creative production assignments.
  • SEO/AEO/GEO/AI-search content exercise.
  • Paid-media campaign planning and optimization case.
  • Landing-page/CRO audit and experiment design.
  • CRM/email automation workflow.
  • Analytics dashboard and AI-assisted performance diagnosis.
  • AI-agent workflow design with guardrails and human approval.
  • Final integrated campaign strategy, asset system, measurement framework and presentation.

08 //Learning journey

From foundation to capability.

How learning builds through a course. It describes the approach, not a promised outcome.

Foundation to capability

How learning builds

  1. Stage 01

    Foundation

    The core concepts, vocabulary and tools the rest of the course builds on.

  2. Stage 02

    Practice

    Guided exercises that turn concepts into working skills.

  3. Stage 03

    Application

    Applying those skills to realistic problems and project work.

  4. Stage 04

    Capability

    Using what you've learned with growing independence and judgement.

09 //Questions

Frequently asked questions.

Start learning

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