Basic AI Literacy for Nonprofits: A Primer
Hibox for Nonprofits
Use AI for donor prospect research, personalized fundraising communications and social, website and email content within a broader nonprofit literacy course
Compare AI courses for lead generation, sales research and outreach workflows.
170 courses in this collection
Hibox for Nonprofits
Use AI for donor prospect research, personalized fundraising communications and social, website and email content within a broader nonprofit literacy course
Sumner Hobart, Ali Hobart, Elizabeth Barton
Analyze customer reviews and draft Amazon listing bullet points with ChatGPT within a broader listing-SEO and conversion-copy curriculum
Khadin Akbar, Khadin Akbar Support
Use AI for Shopify SEO audits, keyword research, product-page metadata and conversion analysis, then apply the findings to store traffic and sales
Ashutosh Singh
Create AI-assisted SaaS campaigns and lead-generation funnels, personalize content and use AI analytics to interpret growth performance
Alfonso Herrera
Use a dedicated 19-minute AI persuasion-and-sales unit within a broader real-estate Facebook campaign and audience-targeting course
Marius Worch, Jendrik Teichmann, Oliver Spitzkat
Build n8n/RAG and voice or WhatsApp bots and connect them to lead generation, sales funnels and customer follow-up within a broader AI-agency course
BISP Solutions
Build PyTorch neural-network models for cross-sell, customer value and promotional success alongside broader demand, ERP sales and anomaly forecasting
Start-Tech Academy , Pukhraj Parikh , Abhishek Bansal
Preprocess customer data and use Excel/XLSTAT regression, clustering and automated logistic models for behavior, churn/retention and sales forecasts
Arpit Khurana
Build and evaluate no-code marketing ML models for churn, sales, lead scoring and customer clusters, and apply NLP, visual listening and AI chatbots
Vincent Sider
Apply generative and discriminative AI through funnel research, product-market fit, personas, awareness assets and LLM-powered visitor engagement
Vinay Karode
Implement logistic-regression and decision-tree churn models, interpret predictions and compare ensembles alongside broader insurance and retail-sales projects
Richard Aragon
Demonstrate customer-churn and sales-forecast models and NLP email-response automation within a broader seven-project corporate AI course
Page 8 of 15