An orientation session to introduce participants to the learning environment, ensure all required platforms and tools are set up correctly, and establish a foundation for successful engagement in the course.

Objective: To provide a foundational understanding of generative AI technology and its transformative applications in marketing, with emphasis on mastering prompting techniques and building fluency with a versatile AI toolkit for multi-format content generation.

Content:

• Core AI Concepts: Understanding the technology behind generative AI, including Large Language Models (LLMs).
• AI in Marketing: Role, Landscape, opportunities, and challenges.
• Generative AI Overview: Text, image, audio, and video generation.
• Your AI Marketing Toolkit:
  • Text Generation: Mastering ChatGPT for copywriting, content ideation, and strategic planning
  • Image Generation: Creating and refining visuals with DALL-E and Midjourney; enhancing and stylizing AI-generated images using Nano Banana
  • Audio Generation: Producing professional voiceovers and audio advertisements with ElevenLabs
  • Video Generation: Exploring cutting-edge video creation tools like Sora and Runway for dynamic content

• Prompting Fundamentals: Mastering zero-shot, few-shot, context-rich, and role-based prompting strategies for optimal outputs.
• Hands-on Practice: Iterative refinement of prompts to generate a complete visual campaign, including hero images, social media graphics, and other ad creatives.
• Output Quality Checks: Prompting Fundamentals: Mastering zero-shot, few-shot, context-rich, and role-based prompting strategies for optimal outputs.
• Advanced prompting tools: Using Prompt Genie to systematically refine prompts and enhance output quality across multiple AI platforms
• Innovation & Trends: Staying ahead with emerging AI marketing tools (e.g., adaptive personalization, influencer AI, short-form video) using ChatGPT tasks.

Objective: To equip learners with advanced skills for leveraging AI to extract deep customer insights and create high-quality, on-brand content at scale, while emphasizing the critical importance of human oversight and strategic implementation.

Content:

• Multi-format content creation: Blog posts & long-form content, email marketing content, and ad copy. Using AI to generate blog posts and stories tailored to specific contexts, styles, and brand guidelines.
• SEO Optimization:
  • Applying AI-driven insights with Ahrefs to strengthen search visibility and develop data-informed keyword strategies.
  • Understanding how AI search engines (ChatGPT, Perplexity) interpret, rank, and recommend content.
  • Optimizing content for discoverability in both traditional and AI-powered search environments.
• Deep Research & Customer Insights with AI:
  • Leveraging Perplexity for comprehensive market research, competitor analysis, trend identification, and industry monitoring.
  • Creating synthetic consumer personas: Building detailed, data-driven, AI-generated personas to better understand and target specific audience segments.
  • AI-powered survey design: Crafting effective customer surveys and using AI to generate simulated customer responses for pre-testing questions, scenarios, and messaging.
  • Introduction to AI-Assisted Conjoint Analysis: Understanding how AI can help analyze consumer preferences for product features, pricing strategies, and purchase drivers.
• Human-in-the-loop editing: Best practices for fact-checking, applying consistent brand voice, ensuring ethical use, maintaining authenticity, and adding strategic human insight to AI-generated content.

Objective: Enable participants to create professional presentations, landing pages, and social media content using AI-powered design tools while maintaining brand consistency and optimizing for engagement and conversion.

Content:

• AI presentation design with Gamma: Exploring how to create visually engaging, brand-aligned marketing decks and pitch presentations using Gamma, an AI-powered presentation tool that automates design, formatting, and storytelling. Text-to-presentation generation, template customization, and collaborative workflows.
• Creating complex presentations using Manus: Creating structured prompts for building presentations, stopping the creation process for updated details, iterating on specific sections, updating content dynamically, and exporting presentations in multiple formats.
• Social media content creation with Canva AI: Leveraging Canva’s Magic Design and AI-powered features to create on-brand social media posts, stories, reels, and promotional graphics. 
• Landing Page Development with Generative AI: Complete workflow from conceptualization to deployment:
  • Brainstorming and content strategy using ChatGPT
  • Wireframing page structure and user flow with Google Stitch
  • Creating and deploying conversion-optimized landing pages using Loveable
  • Best practices for A/B testing and performance optimization

Objective: To teach participants how to systematically identify and automate repetitive marketing tasks, analyze campaign performance with AI-powered insights, and generate actionable reports using integrated marketing platforms.

Content:

• Identifying Automation Opportunities: Conducting a workflow audit to pinpoint time-consuming, repetitive, and high-volume tasks suitable for automation.
• AI in Email Marketing: Building intelligently segmented lists, crafting personalized copy at scale, optimizing send times and subject lines using Mailchimp’s AI-powered features. Setting up an automated email nurture sequence in Mailchimp.
• Social Media & Community Engagement: Automating post scheduling and managing community interactions with tools like Blaze.
• Performance Marketing & Analytics: 
  • Connecting and analyzing performance data from platforms like HubSpot and Google Analytics to track key metrics (impressions, clicks, conversions, ROI).
  • Using AI tools to identify trends, anomalies, and key performance drivers within marketing data.
  • Generating automated reports with actionable recommendations.

Objective: To empower learners to build custom AI tools, perform sophisticated data analysis for deeper insights, and strategically prepare for the evolving future of AI in marketing.

Content:

• Data Analysis with AI: 
  • Introduction to ChatGPT’s code-free data analysis capabilities for importing, exploring, cleaning, and analyzing marketing data.
  • Techniques for merging and analyzing fragmented data from multiple sources (CRM, social media, ad platforms, Google Analytics).
  • Best practices for data handling, structuring analysis workflows, and ensuring data integrity.
• Data Analysis Hands-On: Uploading and consolidating sample campaign data from multiple sources, then using ChatGPT’s data analysis features to clean the combined dataset, create visualizations, and generate actionable insights.
• Building Custom GPTs: Creating specialized GPTs for marketing tasks such as a Brand Guardian for voice and style, a Customer FAQ bot, or a Campaign Ideation Assistant. Building a custom GPT based on a real-world marketing need.
• Ethics & Responsible AI: Navigating copyright considerations, disclosure requirements, data privacy regulations (Data Protection Act, 2019), fair use principles, and establishing ethical guidelines for AI-driven marketing

Objective: To provide a practical guide on using n8n to automate marketing reports, campaigns, and connect essential marketing tools to lead generation systems.

Content:

• Introduction to n8n for marketing automation: Understanding n8n as a workflow automation platform and its advantages for marketing teams. Key concepts: nodes, workflows, triggers, and connections.
• Connecting marketing tools with n8n: Integrating lead generation systems with CRM platforms. Data movement between systems, syncing leads, updating CRM records, and pulling analytics data for reports.
• AI-enhanced workflow architecture: Understanding the integration points between n8n and AI models (OpenAI, Claude, custom APIs). Creating an AI agent that analyzes incoming leads and automatically qualifies, scores, and routes them.
• Best practices for marketing automation: Error handling and workflow monitoring to ensure reliability, and testing and debugging workflows before deployment.
• Applying ethical AI principles to automated decision-making in marketing workflows