Use AI to build smarter campaigns: customer insight, content systems, ads testing, analytics, automation, and QA.
What you'll learn
Understand how AI transforms the marketing value chain and identify where AI adds value, from insights to customer loyalty.
Apply AI tools to define target audiences, refine value propositions, and craft impactful messaging for campaigns.
Use AI to create and repurpose content—copywriting, visuals, short‑form scripts—and ensure compliance and quality.
Optimize ad testing, landing pages, funnels, and automations with AI while tracking key metrics for data‑driven decisions.
Requirements
Basic understanding of marketing concepts (e.g., target audience, messaging, positioning) to contextualize AI applications.
Comfort using computers and internet browsing—no coding or AI experience required; the course covers fundamentals from scratch.
Access to a computer and stable internet connection, plus a willingness to experiment with AI tools (such as ChatGPT, Midjourney, or analytics software).
Description
AI is changing marketing fast—but most teams struggle with one question: How do we use AI in a way that improves results without damaging brand trust or wasting time?
This course is a practical playbook designed to help marketers and business owners turn AI into a repeatable marketing system across research, messaging, content production, performance marketing, analytics, and automation.
You'll learn how AI-powered marketing works in real life: not as "magic," but as a set of workflows and decision rules. We start by building empathy with customers using active listening, sentiment analysis, and behavioral observation. Then we move into data readiness: collecting better inputs, extracting social insights, and using analytics tools to translate signals into action.
From there, you'll build a content engine that turns one powerful idea into multiple assets (posts, ads, emails, landing copy, FAQs, and more) while keeping brand voice consistent. You'll also learn how to run cleaner performance marketing: generate testable ad angles, write hypotheses, optimize landing pages, and track micro-conversions so platforms and AI can learn faster.
A major focus is quality control: prompt engineering, brand voice guidance, and a simple QA checklist to avoid hallucinations, risky claims, and off-brand messaging. Finally, you'll set up a weekly marketing "cockpit," define high-impact automations, and create a 30–90 day rollout plan to pilot and scale AI safely.
By the end, you'll complete a capstone project that combines personal + messaging, a repurposed content set, an ad test plan, landing improvements, and a weekly metrics dashboard—so you leave with a working mini-system you can apply immediately.
Who this course is for
Marketing specialists and managers who want to apply AI to strategy, content, and campaign optimization (without needing coding).
SME owners and entrepreneurs who need a practical AI workflow to improve marketing performance with limited time and budget.
Digital marketers (SMM/PPC/Email/Content) who want to scale content production, testing, and personalization using AI tools.
Brand, communications, and growth teams looking to build clearer messaging and faster campaign execution with AI support.
E-commerce and performance marketing professionals who want to improve funnels, ads, retention, and analytics using AI.


https://rapidgator.net/file/4f7ccac0aaa0be060d187633a0f886f2/AI_in_Marketing_Practical_Playbook_and_Toolkit.part2.rar.html
https://rapidgator.net/file/112cad9afaa4ff52e7aebc30fa145e64/AI_in_Marketing_Practical_Playbook_and_Toolkit.part1.rar.html