생성형 AI를 활용한 CRM & 마케팅 자동화
HASEOK LEE 이하석
Work through an AI-supported CRM campaign alongside CRM fundamentals and marketing strategy
Compare AI courses covering fundamentals, responsible use and governance for marketing work.
132 courses in this collection
HASEOK LEE 이하석
Work through an AI-supported CRM campaign alongside CRM fundamentals and marketing strategy
Yash Thakker
Build an n8n AI social assistant that analyzes content and recommends posts, alongside broader scheduling and workflow agents
三节课 sanjieke
Analyze an enterprise marketing-engagement game, mapping user and operator journeys. Introduce generative text, image and video capabilities, then match them to game-template innovation, activity creation, visual customization, rules…
Megs Hollis
Compare introductory AI tools, examine marketing uses and develop prompts within a short structured class
Ronny Hermosa
Prime ChatGPT with brand context and develop a pitch and channel-specific descriptions through iterative prompts. Applied project: Use ChatGPT to refresh a current brand asset, such as a pitch, video introduction or channel description.…
Sam Dey
Examine AI applications across social, search, email segmentation, A/B testing and paid advertising in a structured foundations course
Núria Mañé
Build an AI-supported community-management plan, covering audience segmentation, content, protocols, engagement and reporting. Applied project: Assemble an AI-assisted community-management plan covering tool selection, content…
Web Trainings Academy
Use AI tools for content creation and on-page SEO alongside site speed, links and search-ranking fundamentals
Start-Tech Academy , Abhishek Bansal , Pukhraj Parikh
Analyze AI marketing cases across ads/email/SEO/chatbots/personalization, evaluate build-versus-buy and strategic readiness, identify high-impact funnel opportunities and set implementation goals, metrics and ethical boundaries
Dr. Amar Massoud
Build marketing data foundations, interpret predictive churn/CLV/propensity models, design experiments and incrementality tests, connect scores to lifecycle journeys and govern optimization decisions
Goeduhub Technologies
Build a customer-segmentation clustering project in four lessons/33 minutes after Python data preparation and ML fundamentals, broader data science is adjacent
Shreesha Jagadeesh
Build an iterative customer-churn classification project using baseline Random Forest, feature engineering and tuned ensembles within a broader fraud/churn/financial-risk compilation
Page 3 of 11