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Objective:

Make is a no-code automation platform that enables users to connect various applications like Gmail, Google Sheets, Slack, Notion, and OpenAI through visual workflows.​

What You Will Learn:

• Introduction to Make’s interface and scenario creation.
• Connecting applications such as Gmail, Google Sheets, OpenAI, and Notion.
• Building intelligent automations using OpenAI for tasks like summarization, content generation, and categorization.
• Practical examples including auto-reply emails, document summarization, and AI-powered reminders.

Tools and Resources:

• Make,Gmail, Google Sheets, Slack, Notion, OpenAI, Pre-built automation templates, Case studies on automation use cases

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Objective:
Learn how to build lightweight AI tools without coding and set up basic deployments on Lovable and Replit for testing and sharing.

What You Will Learn:

• Introduction to the Lovable and replit platform and its editing tools.
• Customizing domains, instructions, and AI personalities.
• Using vibe coding to build functional app for your personal and professional worklflow.
• Turn your ideas into app with Lovable and Replit platform
• Adding knowledge base to your AI application.

Tools and Resources:

• Lovable, Replit, Starter templates for AI assistants Example personas and instruction sets for AI personality design

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Objective:
Take your AI web apps further by adding user authentication, storing data securely, and automating tasks using Supabase integration.

What You Will Learn:

• Understanding the backend of web app publications with real life examples
• Make the database understanding super easy for designers and non coders.
• Connecting Supabase for authentication, data storage, and scheduled tasks.
• Projects include developing a customer support bot, content generator, and AI journal.​

Tools and Resources:

• Supabase , Replit , Project templates: customer support bot, content generator, AI journal, Case studies showing how authentication and AI apps improve user engagement

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Objective:
Langflow is a visual tool that facilitates the creation of Large Language Model (LLM) workflows using LangChain, allowing the development of chatbots and agents through drag-and-drop components.​

What You Will Learn:

• Exploring the Langflow interface and its components.
• Building chatbots utilizing prompts, memory, and OpenAI integration.
• Incorporating tools such as web search, calculators, and file readers.
• Examples include creating a PDF Q&A bot, AI assistant, and data summarizerExamples include creating a PDF Q&A bot, AI assistant, and data summarizer

Tools and Resources:

• Make, Langflow, Google Apps Script (platform comparison), OpenAI (prompt optimization), Best practices guides for no-code logic design, Comparative case studies on real-world AI automation projects, Capstone project briefs and evaluation templates