Course Title:
AI-Powered Marketing for Local Businesses
Course Structure:
Module 1: Understanding Your Local Audience
- Overview: Importance of knowing your local audience.
- Key Topics:
- Identifying customer demographics.
- Tools for audience insights.
- Using AI for audience research.
- Quiz: Assess understanding of local audience identification and research tools.
Module 2: Optimizing Your Website for Local SEO
- Overview: Strategies for improving local search visibility.
- Key Topics:
- Basics of local SEO.
- Keyword optimization.
- Technical SEO elements.
- Utilizing AI tools for optimization.
- Quiz: Evaluate knowledge of local SEO strategies and tools.
Module 3: Effective Content Marketing
- Overview: Crafting engaging content for local businesses.
- Key Topics:
- Content creation strategies.
- AI tools for content generation.
- Understanding customer pain points and needs.
- Quiz: Test comprehension of content marketing strategies and AI applications.
Module 4: Leveraging Social Media
- Overview: Utilizing social media platforms for local engagement.
- Key Topics:
- Identifying the right platforms.
- Creating a social media strategy.
- Engaging your audience with AI-driven content.
- Quiz: Check understanding of social media tactics and platform utilization.
Module 5: Local Advertising Techniques
- Overview: Effective advertising methods for local markets.
- Key Topics:
- Types of local advertising.
- Targeting and segmentation strategies.
- AI tools for optimizing ad campaigns.
- Quiz: Assess knowledge of local advertising strategies.
Module 6: Email Marketing Automation
- Overview: Streamlining your email marketing efforts.
- Key Topics:
- Setting up automated campaigns.
- Analyzing email performance.
- Personalization through AI.
- Quiz: Evaluate understanding of email marketing automation principles.
Module 7: Conversion Rate Optimization (CRO)
- Overview: Techniques to improve conversion rates.
- Key Topics:
- Analyzing customer behavior.
- A/B testing and optimization strategies.
- Using AI for data analysis and insights.
- Quiz: Test comprehension of CRO methods and tools.
Module 8: Measuring Success
- Overview: Understanding key performance metrics.
- Key Topics:
- Tools for measuring success.
- Setting KPIs and goals.
- Utilizing AI for data-driven decisions.
- Quiz: Assess knowledge of performance measurement and success metrics.
Course Completion:
- Final Assessment: A cumulative quiz covering all modules.
- Passing Requirement: 80% or higher to receive a certificate of completion.
Estimated Duration:
- Total Time: 2-5 hours, depending on the learner’s pace and engagement with quizzes.
Full course outline
AI Awareness (a one-day workshop)
Course Content
Introduction to AI
• What is AI?
• A brief history of AI
• Strong AI versus weak (narrow) AI
• Artificial general intelligence and the singularity – science fiction or fact?
• Humanity and intelligence – the Turing test
Common Applications of AI
• AI chatbots
• Intelligent personal assistants (Amazon Alexa, Apple Siri, Google Gemini, Microsoft Copilot, OpenAI ChatGPT)
• Autonomous vehicles
• Image, object and facial recognition
• Text and image generation
• Speech recognition and text-to-speech (TTS)
• Robotics
• Cybersecurity – threat and fraud detection
• Predictive analytics and decision support
• Digital twins and advanced diagnostics
Overview of AI Technologies
• Machine learning
• Deep learning and artificial neural networks
• Generative pre-trained transformers (GPTs) and large language models (LLMs)
• Natural language processing (NLP)
• Computer vision
• Reinforcement learning
• Explainable AI (XAI)
AI – Opportunity or Threat?
• Benefits of using AI
• Risks of using AI
The Ethics of AI
• Privacy, bias, agency and empathy
• Autonomous decision making
AI and the Future of Work
• Robotic process automation
• Collaborative intelligence – humans and AI working together