Session 1: Foundations of Generative AI and Introduction to AI Agents (3 Hours)

Objective: Build foundational knowledge of Gen AI, prompt engineering, and AI agents for marketing automation. Introduce concepts with marketing examples, such as using agents for personalized content generation.

• Hour 1: Gen AI Basics and Model Strengths (60 minutes)
  • Overview of Generative AI: Core concepts, workings, and marketing applications (e.g., automated ad copy or customer segmentation).
  • Model comparisons: Strengths like GPT for creativity, Claude for reasoning, and accessibility via OpenRouter in HK.
  • Hands-on: Generate marketing content with basic tools.
     
• Hour 2: Prompt Engineering Fundamentals (60 minutes)
  • Key techniques for precise outputs, linked to competition criteria like output quality.
  • Activity: Prompt engineering for marketing tasks (e.g. campaign ideation).
     
• Hour 3: Introduction to AI Agents with Demo (60 minutes)
  • AI agents explained: Autonomous task execution in marketing (e.g. end-to-end campaign planning).
  • Activity: Manus AI for a marketing research agent (e.g. competitor analysis).
  • Q&A: Tie to challenge scenarios like predictive analytics.
  • Exercise: Brainstorm a marketing automation idea using prompts.

Session 2: No-Code Automation, APIs, and MarTech Discovery for Marketing Workflows (3 Hours)

Objective: Focus on no-code tools and APIs for automation, with a new segment on discovering MarTech tools to support internal marketing processes. Emphasize efficiency for competition heat rounds.

• Hour 1: Introduction to APIs, OpenRouter, Finding MarTech Tools, and No-Code Automation with Zapier (60 minutes)
  • API basics: Role in connecting tools for marketing (e.g., data pulls from social APIs).
  • OpenRouter for HK access: Test simple calls.
  • New topic: Finding MarTech tools – Strategies to research and evaluate tools (e.g. using directories like G2, Capterra, or MarTech.org to find integrable solutions like HubSpot for CRM automation or Marketo for lead nurturing).
  • Discuss criteria: Integration ease, cost, AI compatibility.
  • Zapier workflows: Build automations for marketing (e.g., lead capture to email).
  • Tie to criteria: Scalability and task completeness.
  • Hands-on: Search for a MarTech tool, test a mock API integration.
     
• Hours 2-3: Expanding No-Code with n8n (120 minutes)
  • n8n for advanced flows: Conditional marketing automations (e.g., feedback analysis).
  • Comparison to Zapier.
  • Activity: Build advanced n8n workflows for marketing tasks, with extended hands-on practice and testing.
  • Q&A: API and tool discovery challenges.
  • Exercise: Connect a social media account and build a basic workflow.
     

Session 3: Building AI Bots and Advanced No-Code Tools (3 Hours)

Objective: Teach standalone bot creation and no-code platforms for agentic marketing solutions, focusing on output quality without hybrid integrations.

• Hour 1: Making Bots and Apps via Poe.com (60 minutes)
  • Poe overview: Standalone bot building with models for marketing (e.g. chat-based engagers).
  • Step-by-step: Create a bot for content generation.
  • Hands-on: Build and test bots independently.
     
• Hour 2: No-Code AI Workflows with Dify (90 minutes)
  • Dify for agent workflows: Multi-step marketing tasks (e.g., data analysis to reporting).
  • Demo: API integrations for automation.
  • Activity: Build a dify flow, incorporating MarTech ideas.
     
• Hour 3: Tool Review and Standalone Applications (30 minutes)
  • Review tools: Standalone uses (e.g., Poe for bots, Dify/Zapier for workflows).
  • Q&A: Integration tips.
  • Exercise: Develop a standalone Poe bot and explore dify with a MarTech angle.
     

Session 4: Agentic AI - Building Custom Tools with Vibe Coding Platforms (3 Hours)

Objective: Turn marketing ideas into agents using vibe coding, with cases illustrating real-world impact.

• First 30 Minutes: Demos of Vibe Coding Tools (30 minutes)
  • Quick intros and demos: Cursor, Amazon Kiro, Lovable, Bolt.new, and Replit for AI apps / chrome extension.
     
• Next 90 Minutes: Advanced Vibe Coding with Replit (90 minutes)
  • Replit for visual agents: Build for web app.
  • Demo: API/OpenRouter integration.
  • Activity: Prototype an agent with extended hands-on practice and testing.
     
• Final Hour: Final Integration, Testing, and Competition Prep (60 minutes)
  • Standalone integrations: E.g., Replit with n8n or Dify.
  • Testing: Criteria evaluation.
  • Prep: Pitches, ethics (e.g., data privacy in MarTech).
  • Q&A. Exercise: Finalize prototype and pitch.

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