AI Automation & Code Vybing

• AI Prompting & API Fundamentals
  Session 1: Advanced Prompt Engineering Masterclass Beyond basic prompts: Few-shot, Chain-of-Thought, and Role-playing. Structuring system prompts for predictable, machine-readable outputs (JSON). Session 2: Understanding APIs & Webhooks How the internet talks: REST APIs, JSON, Endpoints, and Headers. Setting up and catching Webhooks to trigger real-time automations.
• Visual Automation (Zapier & Airtable)
  Session 3: Introduction to Zapier Triggers, Actions, and multi-step Zaps. Connecting everyday apps (Gmail, Slack, Google Sheets). Session 4: Airtable as a Backend Designing relational databases in Airtable for automation logs. Using Zapier paths and filters to route data dynamically.
• Advanced Logic with Make.com
  Session 5: The Make.com Interface Why Make is superior for complex logic: Scenarios vs Zaps. Working with text parsers, date/time formatting, and math functions. Session 6: Routers, Iterators, and Aggregators Splitting data flows using Routers. Processing arrays of data (Iterators) and combining them back (Aggregators).
• Enterprise Automation (n8n & Error Handling)
  Session 7: Open-Source Automation with n8n Self-hosting vs. Cloud n8n. The node-based visual interface. Writing basic JavaScript within n8n code nodes for custom logic. Session 8: Robust Error Handling & API Integration Try/Catch logic in automations. Dealing with API rate limits and timeouts. Connecting custom HTTP request nodes to undocumented APIs. Assignment: Create an n8n workflow with a fallback route if an API call fails.

• Custom GPTs & OpenAI Assistants API
  Session 9: Building Custom GPTs Injecting custom knowledge bases and defining strict system instructions. Adding "Actions" to GPTs so they can interact with the outside world via APIs. Session 10: The OpenAI Assistants API Moving from the ChatGPT interface to the backend API. Managing threads, messages, and persistent conversational memory. Assignment: Build a Custom GPT that can securely query a user's Notion database.
• Agentic Workflows (CrewAI)
  Session 11: The Shift to Autonomous Agents What is an AI Agent? (LLM + Tools + Memory + Reasoning). Introduction to CrewAI: Roles, Goals, and Backstories. Session 12: Building Multi-Agent Teams Creating tasks and assigning them to specific agents. Equipping agents with custom tools (Web scraping, Calculator, APIs). Assignment: Create a 2-agent crew (A Researcher and a Writer) to draft a blog post automatically.

No topics available for this course.

• Voice, Vision & Multimodal AI
  Session 13: Voice Automation (Whisper & ElevenLabs) Transcribing audio to text automatically. Generating hyper-realistic voiceovers dynamically using ElevenLabs API. Session 14: Vision AI & Document Processing Using GPT-4o Vision to analyze images and extract data from invoices/receipts. Automating OCR (Optical Character Recognition) workflows.
• RAG Architecture (Retrieval-Augmented Generation)
  Session 15: Vector Databases & Embeddings Understanding how AI "searches" through documents. Creating embeddings and storing them in Pinecone or Supabase pgvector. Session 16: Building RAG Pipelines (No-Code/Low-Code) Connecting user queries to Vector DB searches. Passing retrieved context to the LLM to prevent hallucinations.

• The AI Developer Environment (Cursor IDE)
  Session 17: Introduction to Cursor & Copilot Setting up Cursor IDE. Understanding the difference between traditional coding and "Vybing." Using the `Cmd+K` interface and Composer to generate foundational files. Session 18: Prompting for Code Generation How to write architectural prompts instead of line-by-line code. Reading and debugging AI-generated errors effectively.
• Building Web Apps with AI (Next.js & V0)
  Session 19: Rapid UI Generation with V0 (by Vercel) Generating React/Next.js components directly from text descriptions and images. Exporting V0 code into your local Cursor environment. Session 20: Wiring the Frontend Logic Using AI to manage state, handle form inputs, and create dynamic routing. Building UI components with Shadcn UI and AI assistance.
• AI Backend Generation (Supabase)
  Session 21: Database Schema Generation Prompting AI to design optimized relational databases (PostgreSQL/Supabase). Generating SQL queries and database edge functions automatically. Session 22: Authentication & API Integration Using AI to write authentication flows (Login/Signup). Wiring the Frontend Next.js app to the Supabase backend.
• Deployment & Final Capstone Defense
  Session 23: Deployment & Monetization Deploying Next.js applications to Vercel. How to package and sell AI Automation and SaaS products to clients. Session 24: DEMO DAY & GRADUATION Final presentation of your end-to-end automation systems and AI-generated apps.