This bot will help you get a course that's available for free for a limited time so you can register before others.

Benefit from it
t.me/UdemySybot

🔅 Getting Started with Vibe Coding

📝 Master the art of vibe coding, where you direct artificial intelligence to develop applications while the system manages the complex coding processes.

Привіт 👋
Запрошую тебе в канал SYBONE’S GIFTS 💎🎁
Тут проходять розіграші NFT подарунків, Telegram Gifts та інших цінних призів абсолютно безкоштовно.
🔥 Чесні конкурси
🎁 Реальні подарунки
⚡ Регулярні розіграші
💎 Активна спільнота
Зараз якраз стартують нові розіграші, тому саме час залетіти 👀
👉 https://t.me/sybonesgifts

Today, the public mint for Lobsters on TON goes live on Getgems 🦞

This is not just another NFT drop.
In my view, Lobsters is one of the first truly cohesive products at the intersection of blockchain, NFTs, and AI.

Here, the NFT is not just an image and not just a collectible.
Each Lobster is an NFT with a built-in AI agent inside: a digital character with its own soul, on-chain biography, persistent memory, and a unified identity across Telegram, Mini App, Claude, and API.

So you are not just getting an asset in your wallet.
You are getting an AI-native digital character that can interact, remember, and stay consistent across different interfaces.

What makes this especially interesting is the timing.

In the recent video Pavel Durov shared in his post about agentic bots in Telegram, the lobster imagery was right there. Against that backdrop, Lobsters does not feel like a random mint — it feels like a very precise fit for the new narrative:

Telegram-native agents + TON infrastructure + NFT ownership layer + AI utility

Put simply, this is one of the first real attempts to turn an NFT from “just an image” into a digital agent.

Public mint: today, 16:00
Price: 50 TON

👉 Mint your Lobster on Getgems 🦞🦞🦞

A trusted platform for cryptocurrency enthusiasts and reliable trading.

🔅 Learning Python

📝 This course gives you everything you need to start programming in Python, from building your first program up through working with files, data and the internet.

https://t.me/Python53

Top-10 Stanford Courses on AI and Machine Learning - directly from official pages and materials.

CS221: Artificial Intelligence
https://www.youtube.com/playlist?list=PLoROMvodv4rOca_Ovz1DvdtWuz8BfSWL2

CS229: Machine Learning
https://www.youtube.com/playlist?list=PLoROMvodv4rMiGQp3WXShtMGgzqpfVfbU

CS229M: Theory of Machine Learning
https://www.youtube.com/playlist?list=PLoROMvodv4rP8nAmISxFINlGKSK4rbLKh

CS230: Deep Learning
https://www.youtube.com/playlist?list=PLoROMvodv4rNRRGdS0rBbXOUGA0wjdh1X

CS234: Reinforcement Learning
https://www.youtube.com/playlist?list=PLoROMvodv4rN4wG6Nk6sNpTEbuOSosZdX

CS224N: Natural Language Processing
https://www.youtube.com/playlist?list=PLoROMvodv4rOaMFbaqxPDoLWjDaRAdP9D

CS231N: Deep Learning for Computer Vision
https://www.youtube.com/playlist?list=PLoROMvodv4rOmsNzYBMe0gJY2XS8AQg16

CME295: Large Language Models
https://www.youtube.com/playlist?list=PLoROMvodv4rObv1FMizXqumgVVdzX4_05

CS236: Deep Generative Models
https://www.youtube.com/playlist?list=PLoROMvodv4rPOWA-omMM6STXaWW4FvJT8

CS336: Modeling Language from Scratch
https://www.youtube.com/playlist?list=PLoROMvodv4rOY23Y0BoGoBGgQ1zmU_MT_

These courses cover the basics: from classic machine learning to modern LLMs and generative models, including both practice and theory.

Follow the Machine Learning with Python channel on WhatsApp: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A