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This Python programming full course video will cover all the basics to advanced concepts of Python programming starting with fundamentals of Python, Python Programming Concepts like Data types, Variables, Conditional Statements, Strings, operators, lists, tuples and dictionaries. Not just that, this Python Tutorial for beginners 2024 will also dive into the most crucial programming paradigms that involve the Advanced python programming with oops concepts, exception handling, file handling, sorting techniques and much more. Moreover you will have Web Scraping as hands on demo project.

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00:04:40 Introduction
00:34:06 Python Installation
00:43:44 First Python Program
00:58:38 Variables and Expressions in Python
01:08:07 Objects in Python
01:12:43 Type conversion in Python
01:21:48 Strings in Python
01:36:26 Escape sequence in Python
01:39:51 Lists in Python
01:54:00 Tuples in python
01:59:29 Dictionaries in Python
02:16:40 Arithmetic operations in Python
02:28:10 Math Function in Python
02:52:25 Conditional Statements in Python
03:06:40 While Loop in Python
03:21:32 Python while loop project
03:34:32 For Loop in Python
03:47:30 If statements in Python
03:53:42 File Handling in Python
04:05:58 Object-oriented programming concepts
04:39:50 Polymorphism in Python
05:52:39 List Comprehension in Python
07:15:54 Word Count in Python project
07:00:45 Map Function in Python, Filter Function in Python, and Reduce Function in Python
07:35:47 Web Scraping in Python Project
08:13:38 Python projects tips and tricks
09:01:16 Python Interview Questions

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The attention mechanism is what makes Large Language Models like ChatGPT or DeepSeek talk well. But how does it work? One can see it as a mechanism that uses similarity to figure out what parts of the text to pay more or less attention to. For this, we use word embeddings.
I like to see word embeddings as words flying around in the universe, like planets and stars. In this case, the attention mechanism (the Keys, Queries, and Values matrices) define the fabric of this universe, and the laws of gravity, that resemble (yet in some ways are very different) to the laws of gravity that rule our universe.
Come join me in this celestial adventure in the universe of language!

See other videos in this LLM series
The attention mechanism in LLMs: https://www.youtube.com/watch?v=OxCpWwDCDFQ
The math behind attention mechanisms: https://www.youtube.com/watch?v=UPtG_38Oq8o
Transformer models: https://www.youtube.com/watch?v=qaWMOYf4ri8

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01:55 Similarity
02:12 Embeddings
04:56 Attention
07:14 Dot product
09:29 Cosine similarity
11:10 The Keys and Queries matrices
14:19 Compressing and stretching dimensions
18:50 Combining dimensions
23:14 Asymmetric pull
40:57 Multi-head attention
45:14 The Value matrix
49:24 Summary

Want to automate anything with Claude Code, even if you're a total beginner? In this step-by-step tutorial, I’ll show you how to use Claude Code, Blotato MCP, and AI automation workflows to build powerful systems without being a developer. Whether you're into no-code automation, AI agents, or building passive income systems, this guide will help you turn ideas into automated machines fast.

--

I'm Sabrina Ramonov. I'm on a mission to teach 1 million people AI. I'm also the solo founder of Blotato.com. It's a SaaS app for creators/entrepreneurs to go viral faster with AI, just like me (0 to 500k+ in 6 months solo).

How I got here…

0: Born in Quezon City, Philippines 🇵🇭
22 yrs old: Graduated UC Berkeley with degrees in Computer Science and Physics... and $250k in student loans.
23 yrs old: Started Qurious, as Founder/CEO, doing natural language processing (AI) in healthcare.
25 yrs old: Closed pilots with billion-dollar pharmaceutical companies, but failed to reach product market fit.
26 yrs old: Pivoted Qurious a lot, then settled on real-time call guidance for sales and customer support, combining streaming speech recognition (AI) and natural language processing (AI).
28 yrs old: Made the Forbes 30 Under 30 list, while living in a living room of 2BR San Francisco apartment.
30 yrs old: Sold 100% of Qurious to Pegasystems (NASDAQ: Pega) in cash and stock deal ($10M+ total).
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32 yrs old: Started angel investing in VC/seed funds, crypto, and passion areas 🍄 while recovering from burnout by hiking, skiing, and reading. Dropped 50 lbs to get back in shape.
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Imagine a world where AI isn't just science fiction but a powerful partner in your business success. This video on AI for Business dives into the exciting world of AI for business, showcasing its revolutionary impact across industries. Witness real-world examples of AI driving innovation in marketing, finance, and manufacturing data analysis on steroids. Imagine the massive benefits of AI for business, predict customer behavior, and make smarter decisions. Get a sneak peek into the future of manufacturing with smart factories (Industry 4.0) and the rise of human-AI collaboration (Industry 5.0). We'll dive into how AI is changing industries like marketing, finance, and supply chain. AI isn't magic, it's the future of business.
00:00:00 Introduction
00:02:11 AI for Business
00:07:38 What Is Artificial Intelligence?
00:14:19 Types Of Artificial Intelligence
00:24:33 AI vs Machine Learning vs Deep Learning
00:38:17 What is Deep Learning
00:49:30 What is LLM (Large Language Model)
01:06:00 What Is Generative AI?
01:21:18 What Is AI Ethics
01:29:55 What is Responsible AI
01:38:09 Artificial Intelligence with Python
03:17:04 Artificial Neural Network
03:48:53 Recurrent Neural Networks
04:17:44 Convolutional Neural Network
04:38:19 Introduction to TensorFlow
05:01:57 Prompt Engineering
05:21:21 Prompt Engineering For Code Generation
05:30:40 Building a Chatbot with Prompt Engineering
05:46:44 OpenAI o3-mini Model
05:53:55 What is Agentic AI?
06:04:59 Introduction to Midjourney
06:23:31 How to use Midjourney?
06:31:15 GitHub Copilot
06:48:34 What is Vibe Coding
06:57:44 Top 5 AI Frameworks in 2025
07:12:29 How AI Is Transforming Studio Ghibli-Style Animation?
07:17:56 AI in Web Development
07:43:07 AI in Healthcare
07:51:49 AI in Retail
07:57:57 AI in Automotive
08:07:52 AI for Marketing
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08:29:04 AI for HR
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08:41:53 AI in Cybersecurity
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09:00:15 AI for Testing
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09:10:34 AI on Microsoft Azure
09:23:00 AI and Industry 4.0
09:28:01 AI Engineer Learning Path
09:35:13 Top 15 AI Skills You Need to Know
09:43:33 Build AI Applicant Tracking System (ATS)
09:59:07 Artificial Intelligence Interview Questions & Answers
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