We just anchored real eye screening proofs on @StarknetFndn , no patient data, just a poseidon hash. Every child screened = one immutable record on-chain.
ONA: offline-first vision screening for community health workers in DRC 🇨🇩
Open source https://t.co/OW4HqOBYJB
@Ona_afrika
We just anchored real eye screening proofs on @StarknetFndn , no patient data, just a poseidon hash. Every child screened = one immutable record on-chain.
ONA: offline-first vision screening for community health workers in DRC 🇨🇩
Open source https://t.co/OW4HqOBYJB
@Ona_afrika
We just open-sourced ONA, an AI-powered mobile vision screening app for low-resource clinics in DRC (Apache 2.0).
Watch the demo: https://t.co/sQUc2MMaMz
Looking for contributors: React Native, Firebase, DHIS2, digital health.
https://t.co/LIAk6gLHFg #OpenSource#eHealth
✈️ Excited of joining us in Kampala? We’ve got support to help you get there.
Opportunity Grants applications are open — making it easier to be part of the experience 🌍🐍
📍 Uganda | 🗓 Oct 7–11, 2026
⏰ Apply by June 1 (EAT)
Start here 👉 https://t.co/EOrAUYBdZn
Stop wasting hours trying to learn AI. 📘📚
I have already done it for you.
With one list. Zero confusion. And no fluff
📹 Videos:
1. LLM Introduction: https://t.co/kJDquHyQuR
2. LLMs from Scratch: https://t.co/0tVKf67LWE
3. Agentic AI Overview (Stanford): https://t.co/F3eMqlyx7o
4. Building and Evaluating Agents: https://t.co/p2wAwQkmc1
5. Building Effective Agents: https://t.co/soZEzoU6eu
6. Building Agents with MCP: https://t.co/7rXLH619p4
7. Building an Agent from Scratch: https://t.co/JVVEvlwcvH
8. Philo Agents: https://t.co/oALtKeEhg1
🗂️ Repos
1. GenAI Agents: https://t.co/SzAvw64ZA3
2. Microsoft's AI Agents for Beginners: https://t.co/MYCOwStucr
3. Prompt Engineering Guide: https://t.co/zFZJT6V60r
4. Hands-On Large Language Models: https://t.co/S5E4390RIk
5. AI Agents for Beginners: https://t.co/MYCOwStucr
6. GenAI Agentshttps://lnkd.in/dEt72MEy
7. Made with ML: https://t.co/mAb4b9Li9o
8. Hands-On AI Engineering:https://t.co/2QvXB3WJhe
9. Awesome Generative AI Guide: https://t.co/dYaAsRgfO6
10. Designing Machine Learning Systems: https://t.co/jRxshvMgJt
11. Machine Learning for Beginners from Microsoft: https://t.co/6u48FQng1g
12. LLM Course: https://t.co/o0NnbEjH6X
🗺️ Guides
1. Google's Agent Whitepaper: https://t.co/cs0P2Tt165
2. Google's Agent Companion: https://t.co/Qnv3PsJZIx
3. Building Effective Agents by Anthropic: https://t.co/5ZfcMllO9N.
4. Claude Code Best Agentic Coding practices: https://t.co/zX9ep8ER0h
5. OpenAI's Practical Guide to Building Agents: https://t.co/uwdBKet060
📚Books:
1. Understanding Deep Learning: https://t.co/Rix5N440Y8
2. Building an LLM from Scratch: https://t.co/V20ES23ZH8
3. The LLM Engineering Handbook: https://t.co/avpqPTA0I8
4. AI Agents: The Definitive Guide - Nicole Koenigstein: https://t.co/8bgDLtebU0
5. Building Applications with AI Agents - Michael Albada: https://t.co/W70co41CCW
6. AI Agents with MCP - Kyle Stratis: https://t.co/vF8VqTeyfA
7. AI Engineering: https://t.co/eJrAoLMW0Z
📜 Papers
1. ReAct: https://t.co/SFgUispJcP
2. Generative Agents: https://t.co/q50bu1PPnQ.
3. Toolformer: https://t.co/CFssbdAXvQ
4. Chain-of-Thought Prompting: https://t.co/n84jvdyxWL.
🧑🏫 Courses:
1. HuggingFace's Agent Course: https://t.co/yhVP0jcs6w
2. MCP with Anthropic: https://t.co/w9LxesXtjx
3. Building Vector Databases with Pinecone: https://t.co/GeI4yarzHH
4. Vector Databases from Embeddings to Apps: https://t.co/eMrFYZaY8d
5. Agent Memory: https://t.co/hjbH72Qwqr
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Billions flow into aid every year. Donors can't track it. Organizations can't prove it. Beneficiaries never see it. We built ImpactChain to fix that — on-chain transparency for every dollar, every milestone, every outcome. #ImpactChain#BlockchainForGood
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Stop wasting hours trying to learn AI.
One list.
Zero confusion.
No fluff.
I’ve already done the hard work for you 👇
📄 Complete AI Learning Document
https://t.co/DENBbHC0tN
What’s inside:
📹 Videos
LLMs, Agentic AI, real-world breakdowns (Stanford + more)
🗂️ GitHub Repos
GenAI agents, prompt engineering, hands-on LLMs, beginner → advanced
🗺️ Guides & Whitepapers
Google, Anthropic, practical agent design
🧑🏫 Courses
Hugging Face, MCP, Vector DBs, end-to-end agent systems
📚 Books
From fundamentals to LLM engineering
📜 Research Papers
ReAct, Generative Agents, Toolformer, and more
📩 Newsletters
Stay updated without doomscrolling
Everything is curated, sequenced, and practical.
No random bookmarks. No hype.
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➕ Follow for more on AI Agents & real-world GenAI
Last chance to apply for the scholarship for AI Bootcamp: from RAG to Agents
The course costs $1,799 but I'm offering full and partial scholarships
I'm closing the form tomorrow and will contact the selected participants by Monday
If you haven't applied yet, here's the link:
https://t.co/UfJu0HiXYC
If you can read more about the course here: https://t.co/QckoJOXk8v
See you soon on the course!
Quick reminder: If you're interested in my next AI Bootcamp and haven't applied for a scholarship spot yet, now is your chance.
I understand that not everyone can afford a paid program, but many are highly motivated to learn and build.
This iteration includes several scholarship spots.
You can apply for a scholarship here: https://t.co/UfJu0HjvOa
Last time I shared this form, it spread widely, and I received thousands of applications, so don't wait too long.
🔸 Course starts: January 26, 2026
🔸 Format: Live, hands-on
🔸 Focus: Building production-ready AI agents, step by step
If you know someone who could benefit from a scholarship, please share this with them.