AI for Marketing

1. Model logic: tokens, temperature, context window 

2. Few shot prompting and why it usually beats zero shot for marketing tasks

3. Retrieval Augmented Generation plus a short demo of building a custom GPT with brand docs

4. Risk control: bias, hallucination, misinformation, privacy. 

5. Model selection cheat sheet: ChatGPT, Gemini, Claude, and Perplexity

1. How generative search results reshape content strategy

2. Building End-to-End SEO Strategy with AI: Learn to use AI for keyword research, content creation, and link-building strategies.

3. Hands-On Workshop: Participants will build their personalized AI-driven SEO workflow to optimize web content for greater visibility and traffic.

1. Landscape of AI image generation models

2. Four prompt elements : subject, composition, style, lighting

3. Controls : reference image, seed, aspect ratio, negative prompt, brand palette guide

4. Creative asset workflow : pick a reference image and prompt ChatGPT to recreate it for your product

5. Workshop 1 : create ad concept through direct prompting

6. Workshop 2 : find a reference image and turn it into your own ads

1. Text to video overview with example tools

2. Converting still images into motion with smooth transitions

3. Storyboard thinking using keyframes for narrative flow

4. Hands‑on exercise

1. Music Generation with Suno: Learn how to create original music tracks for campaigns, videos, and branding.

2. Text-to-Speech and Speech-to-Speech with ElevenLabs: Convert text into lifelike speech and voiceovers, and train AI to replicate specific voices for consistency.

3. Hands‑on exercise

1. What is AI agent

2. AI Agents versus AI automation

3. Definition of an autonomous agent, trigger, memory, evaluation loop.

4. Real marketing cases using AI agents

1. What is API

2. Some of the available API for marketing use cases and where to find it

3. How to implement API: params, headers, pagination.

4. Using model marketplaces: OpenRouter for text models, Replicate for image and video.

1. What n8n is and why it is a good platform for low‑code AI agents

2. Trigger nodes and when to use each one: Scheduled, Chat, Webhook

3. AI nodes for reasoning and generation: AI Agent and Basic LLM Chain

4. Flow‑control toolkit: IF, Filter, Switch, Split Merge, Loop Over Items

5. Memory and knowledge options

6. Connecting to the outside world: Slack, Notion, Google Sheets, HTTP Response for webhooks

7. Concept of Parent and Child Workflow

8. Quick debug cycle: execution log, error branch, retry settings

9. Login to n8n and build very simple workflow

Welcome‑email drafter for new leads:

1. Detect new rows in Google Sheets to fetch lead data

2. Draft a personalized welcome email through OpenRouter GPT

3. Post the draft to Slack and record approval in the sheet

4. Inspect execution log and retry failed runs

Workshop to build an instagram AI agent with API that can:

1. Retrieve top reels from queries

2. Retrieve reels from account

3. Score the retrieved reels based on the engagement metrics

4. Transcribe the reels script

5. Repurpose the script using your brand guidelines