Goldmine for AI Engineers! 📌
If you're learning AI, ML, LLMs, or AI agents, don't waste hours jumping between random tutorials.
These are 10 repositories I'd actually keep bookmarked - from Python fundamentals to ML, LLMs, agents, and production AI.
1. Python - 100 Days
jackfrued/Python-100-Days
A 100-day Python learning path covering fundamentals, data analysis, web development, and more.
GitHub:
https://t.co/4wgQvkXE5K
2. Generative AI for Beginners
microsoft/generative-ai-for-beginners
A practical introduction to building Generative AI applications.
Covers:
• LLM fundamentals
• Prompt engineering
• RAG
• AI agents
• Fine-tuning
• AI application development
GitHub:
https://t.co/msVKJDOmqv
3. LLMs From Scratch
rasbt/LLMs-from-scratch
Want to understand what's actually happening inside an LLM?
Build one step by step.
Covers:
• Tokenization
• Embeddings
• Attention
• Transformers
• Training
• Fine-tuning
GitHub:
https://t.co/JINAI38zMD
4. Machine Learning for Beginners
microsoft/ML-For-Beginners
A structured 12-week, 26-lesson curriculum covering classical machine learning.
A good starting point if you want ML fundamentals before jumping into LLMs.
GitHub:
https://t.co/PGAj8GdlIc
5. OpenAI Cookbook
openai/openai-cookbook
A collection of practical examples and guides for building applications with OpenAI models.
Useful when you want to move from:
Learning → Building
GitHub:
https://t.co/n1Gu2273nY
6. Stable Diffusion
CompVis/stable-diffusion
Interested in generative image models?
This repository contains the original Stable Diffusion implementation and research code.
GitHub:
https://t.co/r1sPdSQgSR
7. AI Agents for Beginners
microsoft/ai-agents-for-beginners
A practical course for understanding and building AI agents.
Covers:
• Agentic AI
• RAG
• Agent frameworks
• Tool use
• Multi-agent systems
GitHub:
https://t.co/mQncZRuIyz
8. AI for Beginners
microsoft/AI-For-Beginners
A structured 12-week, 24-lesson introduction to AI.
Covers:
• Neural networks
• Computer vision
• NLP
• Deep learning
• Classical AI
GitHub:
https://t.co/UuSrvYalBd
9. LLM App
pathwaycom/llm-app
Focused on building practical LLM applications.
Explore:
• RAG
• AI pipelines
• Enterprise search
• Real-time data
• Vector search
GitHub:
https://t.co/DXcibjxGn3
10. Segment Anything
facebookresearch/segment-anything
A foundation model for promptable image segmentation.
Worth exploring if you're interested in computer vision and multimodal AI.
GitHub:
https://t.co/otXdFtpZO3
Don't bookmark all 10 and forget about them.
Pick based on where you are:
Python → Python-100-Days
ML → ML-For-Beginners
AI Fundamentals → AI-For-Beginners
LLMs → LLMs-from-scratch
Generative AI → Generative-AI-for-Beginners
Agents → AI-Agents-for-Beginners
Building → OpenAI Cookbook / LLM App
Computer Vision → Segment Anything
Pick one.
Build something.
Then move to the next.
Google Brain founder, Andrew Ng:
"Prompting will die in 6 months.
Loops and Graphs are what's replacing it."
In 2 hours, he shows exactly what the best engineers already build instead, and how to start building it yourself.
The missing piece most people skip: how to connect those loops into a graph that compounds every time it runs.
Watch it, then read the full guide on loops and graphs below.
Ex-Google engineer just released a free 3-hour course on building and monetizing AI agents.
How to go from one agent to a full system that finds leads and makes money:
00:00 - Design an AI agent system
07:38 - Add human handoffs
19:27 - Understand RAG and vector databases
52:38 - Deploy agents to Google Cloud
1:25:57 - Turn agents into a paid WhatsApp business
1:33:00 - Convert conversations into leads
2:24:01 - Learn loops vs graphs
2:33:08 - Build a multi-tool agent graph
Most people are still building AI demos.
This course shows the full stack:
Agents → RAG → Deployment → Leads → Revenue
Building agents is the old workflow.
Monetizing agent systems is the new one.
This 3-hour watch covers more than most $500 paid courses.
Save it before everyone starts selling the same thing.
Don't waste 2 years learning to build LLMs like Claude & ChatGPT.
Stanford just dropped a 2 hour course on how to build LLMs from scratch.
• 00:00 - LLM tokenization
• 25:44 - how LLMs decode user prompts
• 35:40 - training pipeline of LLMs
• 1:16:47 - LLM architecture from scratch
Anthropic pays $750,000/year to engineers who understand this exact knowledge of LLMs.
Bookmark this & give 2 hours today, no matter what. Then read the article below.
DeepSeek silently updated their changelog with a new V4-Flash upgrade 1 hour ago.
Their new Terminal-Bench score is 82.7, a massive +25.8 point leap from its initial April preview score of 56.9.
Currently only available via their API, open weights release will follow shortly.
One of the important things in DSP is changing sampling rates. This week I am looking at the CIC filter from scratch which can help when we want to up or down convert sampling rates.
https://t.co/XqCgMpuRa2
If you are building embedded, IoT, or edge AI devices, learn Zephyr RTOS.
Zephyr is a scalable, open-source real-time operating system hosted by the Linux Foundation, designed for resource-constrained microcontrollers and modern embedded systems.
What you will learn:
⚙️ Real-Time Operating Systems (RTOS)
🧵 Multithreading & Scheduling
⏱️ Deterministic Real-Time Systems
📡 Device Drivers
🔌 GPIO, UART, SPI, I²C, CAN & USB
📶 Bluetooth LE, Wi-Fi, Thread & Matter
🌐 Networking (IPv4, IPv6, TCP/IP, MQTT)
🔒 Secure Boot & Trusted Firmware
⚡ Power Management
📦 DeviceTree & Kconfig
🛠️ Board Porting & Hardware Abstraction
🧠 Embedded C/C++ & Rust
🤖 Edge AI & TinyML
🧪 Testing & Continuous Integration
📚 Learning resources
Documentation — https://t.co/DizGX9dPcb
GitHub — https://t.co/jocxWgiyy9
Zephyr Samples — https://t.co/39GTYr7tn8
Nordic DevAcademy (Zephyr) — https://t.co/q1V4V0y20n
Golioth Zephyr Tutorials — https://t.co/6fsEIpe5Kh
Build projects like:
🤖 Robots
🏠 Smart Home Devices
📡 IoT Sensors
⌚ Wearables
🚁 Drones
🚗 Automotive ECUs
🏭 Industrial Controllers
🔋 Battery-Powered Devices
Zephyr has become one of the leading RTOS choices for modern embedded development, combining real-time performance, broad hardware support, security, and a strong open-source ecosystem.
@ZephyrIoT@linuxfoundation
If you want to become an Embedded Systems Engineer, learn Polling.
Polling is one of the simplest ways for a microcontroller to interact with peripherals. Instead of waiting for an interrupt, the CPU repeatedly checks whether a device is ready.
Learn these concepts:
🔄 Polling vs. Interrupts
⏱️ Busy Waiting
🧠 Event Loops
⚡ GPIO Polling
📡 UART Polling
🔌 SPI Polling
📶 I²C Polling
⏲️ Timers & Delays
🧵 Cooperative Scheduling
⚙️ State Machines (FSMs)
🛠️ Bare-Metal Programming
💻 Memory-Mapped I/O
When polling works well:
✅ Simple embedded applications
✅ Predictable execution
✅ Low-frequency events
✅ Easy debugging
✅ Resource-constrained MCUs
When interrupts are better:
⚡ High-speed peripherals
⚡ Real-time systems
⚡ Low-power devices
⚡ Event-driven applications
⚡ Multiple concurrent peripherals
Every embedded engineer should understand both polling and interrupts. Choosing the right approach depends on your application's latency, power, and real-time requirements.
For makers turning ideas into hardware, every build counts.
The new Fusion Coupon Pack helps you save on PCB, PCBA, and shipping for your next prototype or small-batch order.
Claim it here 👉https://t.co/aomoUqIxL1
#seeedfusion#PCB#PCBA#makers#hardwaredesign#prototype
اللي اشتغل على القضية هو الصديق المحامي عبدالله السلمي
والحكم يعتبر سابقة قضائية وذلك أنه ينقض أصل استرداد الرسوم والتكاليف الدراسية (في كل الحالات) التي دفعتها الجامعة على المعيد والمحاضر المبتعث وفق مبدأ قانونيّ، أياً كان سبب استرداد الرسوم، الحكم تم تأييده من الاستئناف.
للتفاصيل أو لمن لديه قضية مشابهة ممكن يتواصل على واتس أب المحامي عبدالله
https://t.co/luDFCczVs7
Explaining Computers recently put five RISC-V SBCs to the test: Orange Pi RV2, Banana Pi BPI-F3, Cyped Lite Pi 3A, Milk-V Jupiter, and VisionFive 2. From performance benchmarks and software support to storage speeds and power efficiency, each board highlighted progress and learnings from the growing RISC-V ecosystem.
Julian Horsey of @GeekyGadgets takes a closer look at how RISC-V could reshape the SBC landscape. 👉 Read the full story here: https://t.co/AUBzlUOwtO
New Product! Pimoroni Clipper HAT Mini - 4G LTE for Raspberry Pi. Receive and transmit data over 4G LTE cellular networks 📡 with ease - perfect for remote or mobile projects. 100MB FREE SIM included! 🔥 https://t.co/CHmswhhbkt
build your own Disney magic band scanner with #Adafruit Feather RP2040 and #CircuitPython https://t.co/iCqMdhbGbq #3dprinting DIY Disney Magic Band Reader https://t.co/bj7zPrUX4s
Waveshare ESP32-S3-AMOLED-1.91-M is an ESP32-S3 based dev board with 1.91″ display Accelerometer Gyroscope and more:
Waveshare has recently launched the ESP32-S3-AMOLED-1.91-M dev board which is an ESP32-S3-based board with a 1.91″...
The post Wavesha… https://t.co/8LaGTQv5BF