"I am an experienced senior leader at an education foundation and a former cofounder at a high-growth education startup in India and have led the development of multiple products in the EdTech space. I joined the "AI Edge Bootcamp" led by Saket Sinha, to develop a better understanding of how I could use AI-enabled tools and technologies to improve my own productivity and create AI-enabled solutions for my organization. In the space of a few weeks, my learning curve has been exponential - thanks to the high-quality program that Saket has put together. Even though my programming knowledge is limited, I have used AI-enabled tools to create custom chatbots, prototype educational content creation apps, and agentic workflows. Saket has enabled our learning through a combination of pragmatic explainers, interesting projects, coaching and feedback to demystify complex AI concepts and strengthen an 'Ai-first' approach to building new products and augmenting existing workflows. I highly recommend this program to those interested in a rapid upskilling in this space
As a marketing leader, who has led large digital transformation programs, building custom apps hands-on to solve context-heavy problems, seemed a" stretch until Saket's AI Edge Bootcamp.The Bootcamp is unlike any other learning experience I¾ve had. In just a few weeks, program helped me gain the confidence, mental models, and practical experience to start building enterprise AI marketing applications.The diversity of the cohort- from educators to social workers, techies, marketers"and finance professionals- brought new perspectives and made for an extremely enriching experience.I would highly recommend this program to anyone willing to get ahead of the AI wave."
Over the last few weeks at the AI Edge Bootcamp, I’ve been exploring how AI can be meaningfully applied in education. | Akanksha Kumar
Over the last few weeks at the AI Edge Bootcamp, I’ve been exploring how AI can be meaningfully applied in education. 🎯 Here's what I built: A Telegram bot that helps educators and program stakeholders go from data entry to insights. In the screen recording below, you’ll see how it works: ☑️Teachers or coaches enter observations directly into Telegram ☑️The bot fetches this data from Google Sheets ☑️An AI agent (powered by GPT-4o) analyzes the scores and sends back: ⚫ A summary of strength
My First AI Agent for Teachers: A Personalized Follow-Up Tool | Poojan Sahil posted on the topic | LinkedIn
My First AI Agent Is Live! And It’s Here to Empower Teachers This is more than just a workflow, it's the start of a movement I'm committed to: empowering educators with meaningful, human-centered AI. I built my first AI agent using n8n, OpenAI, and Google Calendar. Here’s what it does: After a student takes a quiz, the agent analyses their answers, writes a caring and personalized message about how they did, checks my calendar for an available post-5 PM slot, and automatically schedules
Introducing Sentiment Analysis App for Qualitative Data | Parveen Bhardwaj posted on the topic | LinkedIn
🚀 Introducing My Sentiment Analysis App for Qualitative Data! In the world of Monitoring & Evaluation, qualitative data often holds the richest insights—but analyzing it efficiently can be a challenge. So, I built a Sentiment Analysis App to streamline qualitative data analysis, making it faster and more insightful. 💡 What It Does ✔ Sentiment Scores – Analyze text for positive, negative, or neutral sentiment ✔ Trends & Graphs – Visualize sentiment shifts over time ✔ AI-Powered Summ
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After some fiddling I found an AI coding workflow that actually works for me | Siddharth Das
After some fiddling I found an AI coding workflow that actually works for me 1. Spec Refinement: Use an LLM to ask me one question at a time about my feature until we land on a detailed spec. Good old Chatgpt works best here. 2. Prompt Generation: Feed the spec into a reasoning model and get a list of prompts to generate code. I've had good luck with Deepseek. 3. Code Generation & Review: Run the prompts one by one through a coding agent, review and commit. Personally I liked Aider al
I decided to build my first set of apps from code generated using LLMs and its been an insane first week where I made 3 (super basic) apps! | Rishabh Ladha
I decided to build my first set of apps from code generated using LLMs and its been an insane first week where I made 3 (super basic) apps! Couple of weeks back I wrote about how I'd pay someone to teach me, and low and behold, the World sent me Saket Sinha, because I saw a post just like this one from someone in his cohort. In our 1.5 hr meeting over chai, Saket and I share our love for teaching and building, and while he actively discouraged me to join his cohort because I'm a more a
As someone without a coding background, debugging errors used to feel overwhelming. | Bijit Sarkar
As someone without a coding background, debugging errors used to feel overwhelming. I’d often shut down my computer in frustration and turn to Netflix instead. But with AI, I can now debug issues confidently and stay engaged in problem-solving. I’ve built a fully functional, hosted app that lets users generate images from text using powerful AI models. It gives users the option to choose between Different open source models for their AI interactions. 🔧 Tech Stack: 🖥 Frontend: Streamlit ⚙️ Ba