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Python Selenium Tutorial #1 - Web Scraping, Bots & Testing 🐍🕸️

This selenium tutorial is designed for beginners to learn how to use the python selenium module to perform web scraping, web testing and create website bots 🤖. Selenium is an automation framework that allows you to interact with websites using something called a web driver 🛠️.

How to Fix Pip: https://www.youtube.com/watch?v=AdUZArA-kZw 🎥

Chrome Web-driver Download: https://sites.google.com/a/chromium.org/chromedriver/downloads 🚀

Selenium Documentation: https://selenium-python.readthedocs.io/ 📚

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14 minutes with an Anthropic engineer will teach you more about building agents 🤖 than most devs figure out in months of trial and error 🛠.

Same guy who wrote “Building Effective Agents”, the post every AI builder has bookmarked 📑.

No fluff. No 47-tool frameworks. Just the patterns that actually work in production 🚀:

→ When to use workflows vs. agents (most people get this wrong) ❌
→ Why simple > clever, every single time ✅
→ The orchestrator-worker pattern that scales 📈
→ When NOT to build an agent at all 🛑

If you’re shipping AI products in 2026 and haven’t watched this, you’re doing it on hard mode 🎮.

14 minutes. Bookmark it 📌. Watch it twice 👀.

#AI #Agents #Tech #DevCommunity #FutureTech #ProgrammingConcepts

🔖 26 lectures on Deep Learning for free 🧠✨

The material helps to go from a basic understanding to a confident DL base in just a few hours of viewing. 🚀📚

A good option for getting started with neural networks and Data Science. 🤖📊

⛓️ Watch the playlist 👇
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🔍 Deep-diving into microsoft/ai-agents-for-beginners — fresh off the trending list.

🔗 https://github.com/microsoft/ai-agents-for-beginners
📝 12 Lessons to Get Started Building AI Agents
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AI Agents for Beginners is a comprehensive course that teaches everything you need to know to start building AI Agents. The course covers the fundamentals of building AI Agents, with lessons on topics such as intro to AI agents, AI agentic frameworks, and designing trustworthy AI agents.

The course includes multi-language support for over 50 languages, making it accessible to a wide range of learners. You can access the course materials, including Python code samples, by forking the repo or cloning it locally using git. The course utilizes Microsoft Agent Framework and Azure AI Foundry Agent Service V2, with some code samples also supporting alternative OpenAI-compatible providers.

To get started, simply navigate to the lesson that interests you the most, and follow the instructions in the README file. You can also join the Microsoft Foundry Discord channel to meet other learners, get your questions answered, and stay up-to-date with the latest developments in AI agents.

This course is perfect for beginners and experienced learners alike, with a focus on hands-on learning and practical applications. So why wait? Dive in and start building your own AI agents today - with this course, you'll be well on your way to creating intelligent agents that can interact with the world in complex and fascinating ways!

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10 Best Advanced Machine Learning Courses You Must Know in 2026 🤖📚

Are you looking for the Best Advanced Machine Learning Courses?… If yes, then this article is for you. In this article, you will find the 10 Best Advanced Machine Learning Courses. 🧠💡

Link: https://www.mltut.com/best-advanced-machine-learning-courses/ 🔗

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The Ultimate Python Developer Course: Learn Step by Step

Step-by-step Python training to build real applications and boost your coding skills.…

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🌍 Language: English (US)
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⭐️ Rating: 4.3/5.0 (51 reviews)
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🔅 Programming Foundations: Data Structures

📝 Learn how to effectively use and implement key data structures through hands-on exercises and real-world examples in Python.

🌐 Author: Kathryn Hodge
🔰 Level: Beginner
⏰ Duration: 2h 46m

📋 Topics: Data Structures, Python

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📱 Programming Foundations: Data Structures 🧠

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🚀 Create an LLM from Scratch!

I came across a great find from Vizuara — a series of 43 lectures that truly delivers on its promise: showing how to build a large language model from scratch. 🧠✨

Most people use ChatGPT.
But only a few actually understand how it works under the hood. ⚙️

This playlist step by step breaks down all the key concepts without overloading with complex explanations.

📚 What you will learn:
→ The architecture of Transformer 🏗️
→ The internal structure of GPT
→ Tokenization and BPE 🧩
→ Attention mechanisms 🔍
→ The process of training an LLM 📈
→ Full implementations in Python 🐍

✅ Suitable for:
• ML engineers
• AI enthusiasts
• Developers entering the GenAI field
• Anyone who is tired of explaining AI as a "black box" 🕵️

If you really want to understand what lies at the heart of models like ChatGPT, Claude, and Gemini — this material is worth watching. 👀

🔗 Link to the playlist:
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