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In this video on " How Does a Ransomware Attack Work ?" We answer the questions like what is ransomware and how it works, by covering the ways a ransomware attack can be started with generic phishing emails, and how hackers demand payment for releasing personal files and information. We also take a look at some remedial measures that can be taken to prevent being targeted. And at the end, we will some popular Ransomware attacks in history.

Below are the topics covered in this Ransomware Explained video:

00:00 How does a ransomware attack work?
02:02 Introduction to Ransomware
02:44 What is a Ransomware
03:29 How does a ransomware attack work?
04:23 Types of Ransomware
05:19 effects of ransomware on business
06:20 How to prevent ransomware
07:11 Popular ransomware attack

Cybercriminals employ ransomware as a kind of malware (malicious software). When a computer or network is infected with ransomware, the ransomware prevents users from accessing the system and encrypts their data. Cybercriminals hold their victims' data hostage in exchange for ransom money. A vigilant eye and security software are recommended for protection against ransomware infection. Following an infection, victims of malware assaults have three options: they may pay the ransom, attempt to delete the software, or restart the device.

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Hi, if you want to learn Complete Full Stack Development from me then you can study from
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Timestamps :
00:00:00 - Introduction
00:01:38 - Installing Code Editor (one from Froala/UltraEdit/VSCode)
00:05:40 - How do websites work?
00:08:24 - Level 1
00:36:38 - Level 2
01:03:27 - Level 3
01:25:10 - Level Pro (Hardest to Crack!)

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F3ND1MUS DISCORD LINK: https://discord.gg/nsw2mTzWFk
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Check out the FreeCodeCamp.org Courses Here

https://www.freecodecamp.org/learn/

My Playlist for JavaScript Algorithms and Data Structures Certification using FreeCodeCamp.Org Courses:
https://youtube.com/playlist?l....ist=PLhcxfEf5Q1ZdaNW

***Music for Programming I use :
Lofi Girl: https://www.youtube.com/c/lofigirl
or
Minecraft FULL SOUNDTRACK:
https://www.youtube.com/watch?v=Dg0IjOzopYU&t=3243s

This video is part of the JavaScript Algorithms and Data Structures Certification 300 hours Course From FreeCodeCamp.Org.

It should be noted, F3ND1MUS is not officially affiliated and does not represent FreeCodeCamp.Org, But does love their content and appreciates the information that was created, I create these videos to help the world learn more about code, coding, and technology, in order to create a better world of people helping themselves and others, also there is permission to use these videos as seen at the bottom of this description.

If you have any questions leave them in the comment section below, please follow along and learn and grow a little bit everyday by doing productive tasks everyday.

Understanding is best achieved through practicing and reading the material for yourself, watching will only provide so much immersion, although for some it may be adequate, for most it will not. This means doing the code is very important to gaining the experience and skills.

I am very much a beginner in programming and coding, this is my experience through this course, I may stumble, fall or even fail, but I will always dust myself off and come back when I am ready after a break, or some rest if needed, this cycle is continuous through life, and I suggest all students understand this and accept it for what it is.

Never stop learning.

Thank you for your time, I hope you found this video helpful.

F3ND1MUS

Permission to use the material on FreeCodeCamp.org is created with permission based on public information posted by Quincy Larson of FreeCodeCamp.org, for more information see here:

https://youtuberfriendlycompan....ies.blogspot.com/202

THANK YOU QUINCY LARSON AND FREE CODE CAMP.ORG TEAM!

FAQ

*What is My Website?

Answer:

https://f3nd1mus.wordpress.com/

*FreeCodeCamp.org is not Working with Internet Explorer, Microsoft Edge, Safari, etc. Solution?

Answer: https://f3nd1mustechproblems.b....logspot.com/2020/10/

From the early days of the wild wild web, JavaScript has been there. Its evolved from a simple two week hack into a vibrant ecosystem that is continuously evolving to the modern web.

Join Matt as he walks the timeline of JavaScripts evolution from where it began into what it has become today. If you are new to web development or just getting back into development or coming to web development from a different part of the stack this is for you. Matt will showcase several demo apps that highlight the differences in how web apps used to be built with ES5 and highlight the tools that have changed how they are built for the modern web and ES6. Finally he will show how that same app can be built with Angular, one of the many modern frameworks that helps engineers build responsive and performant web applications.

Talk given by Matt Hippely at the JavaScriptLA meetup.

Thanks to JavaScriptLA for giving us permission to post this talk. freeCodeCamp is not associated with this talk. We're just excited to bring more exposure to to it!

--

Learn to code for free and get a developer job: https://www.freecodecamp.org

Read hundreds of articles on programming: https://medium.freecodecamp.org

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👉Following topics are covered in this Azure Databricks for Beginners video:
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----------------------------
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00:00 Introduction
00:41 Introduction to Deep Learning
04:48 NLP Using RNN
06:16 Scaling up NLP Task
08:13 Transformers Walk Through
10:16 Top Language Models


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00:00 Agenda
01:28 Introduction to Deep Learning
08:24 What is Deep Learning
13:02 NLP using RNN
15:59 Scaling up NLP task
16:49 Transformers WalkThrough
19:51 Top Language Models

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---------𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧---------

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----------------------------------
How it Works?

1. This is 21 hrs of Online Live Instructor-led course. Weekend class: 7 sessions of 3 hours each.
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate!

- - - - - - - - - - - - - -

About the Course
Edureka's Deep learning with Tensorflow course will help you to learn the basic concepts of TensorFlow, the main functions, operations and the execution pipeline. Starting with a simple “Hello Word” example, throughout the course you will be able to see how TensorFlow can be used in curve fitting, regression, classification and minimization of error functions. This concept is then explored in the Deep Learning world. You will evaluate the common, and not so common, deep neural networks and see how these can be exploited in the real world with complex raw data using TensorFlow. In addition, you will learn how to apply TensorFlow for backpropagation to tune the weights and biases while the Neural Networks are being trained. Finally, the course covers different types of Deep Architectures, such as Convolutional Networks, Recurrent Networks and Autoencoders.

Delve into neural networks, implement Deep Learning algorithms, and explore layers of data abstraction with the help of this Deep Learning with TensorFlow course.

- - - - - - - - - - - - - -

Why Learn Deep Learning With TensorFlow?
TensorFlow is one of the best libraries to implement Deep Learning. TensorFlow is a software library for numerical computation of mathematical expressions, using data flow graphs. Nodes in the graph represent mathematical operations, while the edges represent the multidimensional data arrays (tensors) that flow between them. It was created by Google and tailored for Machine Learning. In fact, it is being widely used to develop solutions with Deep Learning.

- - - - - - - - - - - - - -
For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free).

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🚀 Welcome to our comprehensive tutorial on Prompt Engineering for Beginners! 🚀. Whether you're a coding enthusiast, a budding AI developer, or simply curious about the world of natural language processing, this tutorial is designed just for you! In this step-by-step guide, we'll walk you through the fundamentals of prompt engineering, a key concept in harnessing the capabilities of GPT-3.5. You'll gain hands-on experience crafting prompts that yield accurate and insightful responses from the model.

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➡️ About Post Graduate Program In AI And Machine Learning

This AI ML course is designed to enhance your career in AI and ML by demystifying concepts like machine learning, deep learning, NLP, computer vision, reinforcement learning, and more. You'll also have access to 4 live sessions, led by industry experts, covering the latest advancements in AI such as generative modeling, ChatGPT, OpenAI, and chatbots.

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In this video on chatgpt for developers unlock the potential of ChatGPT for your projects with this concise video guide. Learn the fundamentals, explore practical examples, and integrate AI seamlessly into your applications. Whether you're a novice or an expert, this tutorial will help you harness the power of ChatGPT to create dynamic and engaging user experiences.

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➡️ About Post Graduate Program In AI And Machine Learning

This AI ML course is designed to enhance your career in AI and ML by demystifying concepts like machine learning, deep learning, NLP, computer vision, reinforcement learning, and more. You'll also have access to 4 live sessions, led by industry experts, covering the latest advancements in AI such as generative modeling, ChatGPT, OpenAI, and chatbots.

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- Post Graduate Program certificate and Alumni Association membership
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- Simplilearn's JobAssist helps you get noticed by top hiring companies
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- Learn about the applications of ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools

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- ChatGPT
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When you don't always have the same amount of data, like when translating different sentences from one language to another, or making stock market predictions from different companies, Recurrent Neural Networks come to the rescue. In this StatQuest, we'll show you how Recurrent Neural Networks work, one step at a time, and then we'll show you their critical flaw that will lead us to understanding Long Short-Term Memory Networks.

English
This video has been dubbed using an artificial voice via https://aloud.area120.google.com to increase accessibility. You can change the audio track language in the Settings menu.

Spanish
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Portuguese
Este vídeo foi dublado para o português usando uma voz artificial via https://aloud.area120.google.com para melhorar sua acessibilidade. Você pode alterar o idioma do áudio no menu Configurações.

For a complete index of all the StatQuest videos, check out...
https://app.learney.me/maps/StatQuest
...or...
https://statquest.org/video-index/

If you'd like to support StatQuest, please consider...
Patreon: https://www.patreon.com/statquest
...or...
YouTube Membership: https://www.youtube.com/channe....l/UCtYLUTtgS3k1Fg4y5

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...buying one or two of my songs (or go large and get a whole album!)
https://joshuastarmer.bandcamp.com/

...or just donating to StatQuest!
https://www.paypal.me/statquest

Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter:
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0:00 Awesome song and introduction
4:13 Basic anatomy of a recurrent neural network
5:59 Running data through a recurrent neural network
10:31 Shared weights and biases
11:23 The vanishing/exploding gradient problem.

#StatQuest #NeuralNetworks #Deeplearning #DubbedWithAloud

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#MachineLearningInterviewQuestions #MLInterviewQuestions #MLInterviewPreparation #MachineLearningEngineerInterviewQuestions #MachineLearningInterview #MachineLearningInterviewQuestionsForFreshers #Intellipaat

This video, Top 30 Machine Learning Interview Questions 2025, brings you the most frequently asked questions and detailed answers to ace your next job interview. Whether you're a fresher or an experienced professional, these machine learning interview questions are designed to help you prepare effectively for roles like Machine Learning Engineer, Data Scientist, or AI Specialist.

Discover insights into key ML concepts, algorithms, and problem-solving techniques that hiring managers value. Learn about important machine learning interview questions and their answers. With this ML interview questions and answers for experienced and freshers guide, become confident in answering questions about various machine learning concepts. Look into the critical questions around concepts such as supervised and unsupervised learning, feature selection, model evaluation, and advanced ML techniques. Don't miss this video, because this is going to enhance your understanding of machine learning and going to help you crack your dream job. Watch now and get ready to shine in your ML interviews!

📖Below are the pointers covered in this 'ML Interview Questions and Answers' video:

🥇 00:00:00 - Introduction to Machine Learning Interview Questions

👨‍💻 ML Interview Questions for Freshers (Basic Level Machine Learning Engineer Interview Questions):
Q1. What is Machine Learning, and why is it important?
Q2. Differentiate between supervised, unsupervised, and reinforcement learning.
Q3. What is a model in machine learning, and how is it used?
Q4. Explain overfitting and underfitting with examples.
Q5. What is a confusion matrix, and how is it used in evaluating models?
Q6. Define cross-validation. Why is it important in model evaluation?
Q7. What is the role of precision and recall in evaluating a model?
Q8. What is the F1 score, and how is it calculated?
Q9. What is the purpose of regularization in machine learning?
Q10. Explain the bias-variance trade-off.

👨‍💻 Intermediate Level Machine Learning Interview Questions:
Q11. What is feature engineering, and why is it crucial in machine learning?
Q12. Example of when a False positive is more crucial than a false negative and vice versa
Q13. What does naivety stand for in naive Bayes?
Q14. Give an example where the median is a better measure than the mean.
Q15. What are the key differences between bagging and boosting in ensemble methods?
Q16. How does a decision tree work in machine learning?
Q17. What is the principal component analysis (PCA), and when should it be used?
Q18. How does a support vector machine (SVM) classify data?
Q19. What is a dropout in neural networks, and how does it prevent overfitting?
Q20. Differentiate between batch gradient descent and stochastic gradient descent.

👨‍💻 Advanced Level Machine Learning Interview Questions for Experienced:
Q21. You notice that your model is overfitting on the training data. What steps would you take to address this issue?
Q22. How would you evaluate a model's performance using a Receiver Operating Characteristic (ROC) curve?
Q23. Describe a situation where regularization (L1 or L2) significantly improved your model's performance.
Q24. You are given a dataset with imbalanced classes. How would you handle this during model training?
Q25. Explain GAN.
Q26. Explain CNN.
Q27. Explain how recurrent neural networks (RNNs) are used for time-series data. Provide an example.
Q28. What strategy would you use to tune hyperparameters for a Random Forest or gradient-boosting model?
Q29. Describe a real-world scenario where reinforcement learning could be applied effectively.
Q30. How would you optimize the training of a deep neural network on a large-scale dataset with limited computational resources?

✅ How do I prepare for a machine learning interview?
Preparing for a machine learning interview involves mastering the fundamentals of ML concepts like supervised and unsupervised learning, algorithms, and model evaluation techniques. Work on real-world ML projects to showcase hands-on experience and build a strong portfolio.

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It’s been over a year since I last made a list like this so I decided to give it an update. I also decided to make this an annual list. The top 100 songs that I believe the most people in the world will recognize. I looked at charts, streams, sales, and overall pop culture relevance but at the end of the day, this is all just my opinion (which makes this list even more correct).

No Christmas songs, children’s songs, classical music, or film scores were included as that would take up 90% of the list and make it boring.

Spotify playlist: https://open.spotify.com/playlist/50ozhW6x8mS6r64G4Dru0c?si=5g86KH9nSOmyBnrC8UkbRA&pi=u-G6q8mcW6Sxab
Thumbnail: https://youtube.com/@Queen?si=vQYckgvP5U9G_4_E

Top 100 Most Recognizable Songs of All Time (2024 version)

#music #songs #top100

Karan Aujla - On Top (Official Video)

After huge success of "Sheesha" Karan Aujla Presents Official Video of "ON TOP" New Punjabi Song by Karan Aujla. Music is given by Yeah Proof. Video Directed by Qarn Mallhi.

Song - On Top
Singer/Lyrics/Composer - Karan Aujla
Music - Yeah Proof
Video - Qarn Mallhi

Connect with Karan Aujla:

Subscribe: @KaranAujlaOfficial
Instagram: https://www.instagram.com/karanaujla_official/
TikTok: https://www.tiktok.com/@aslikaranaujla?
Spotify: https://open.spotify.com/artis....t/6DARBhWbfcS9E4yJzc

#karanaujla #ontop

Listen ON TOP on Apple Music - https://music.apple.com/ca/alb....um/on-top-single/165
Listen ON TOP on Spotify - https://open.spotify.com/album..../3F9ZTXMumebU1qkltpE
Listen ON TOP on Amazon Prime Music - https://music.amazon.ca/albums/B0BN12T9QJ
Listen ON TOP on Saavn - https://www.jiosaavn.com/album/on-top/pG54YAE4xFg_
Listen ON TOP on Resso - https://m.resso.com/Zs81GkWxk/
Listen ON TOP on Wynk - https://wynk.in/music/song/on-....top/pc_5059950896060

Digital & Promotions Strategies - LA Music Promotions Co
https://www.instagram.com/lamusicpromotionsco/

Karan Aujla ©

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This ChatGPT Full Course by simplilearn provides a deep dive into AI technologies and applications, starting with the Top 10 AI Technologies and covering essentials like ChatGPT basics, Prompt Engineering, and Generative AI. It explores advanced topics such as ChatGPT 4 vs. ChatGPT 3.5, RAG vs. Prompt Tuning, and Prompt Injection, alongside practical applications like building apps, blogging, and creating Telegram bots with ChatGPT. Discover tools for automating tasks such as Excel, crafting PowerPoint presentations, and using LangChain. Other highlights include tutorials on GANs, OpenAI's Strawberry and Sora, and a guide to earning money with AI innovations like selling eBooks and job preparation in AI fields.

These are the following topics covered in the ChatGPT Full Course

00:00:00 Introduction to ChatGPT Full Course
00:00:41 Top 10 AI Technologies
00:18:08 Introduction to ChatGPT
00:23:19 What is Prompt Engineering
00:24:04 What is Gen AI
00:40:22 How to get Job in AI
00:40:59 ChatGPT 40 vs ChatGPT 4
01:17:07 Chatgpt analyse
01:18:14 Run Lama Privately
01:33:51 Search GPT
01:35:03 Sell Ebooks using ChatGPT
02:01:25 Build App Using ChatGPT
04:07:05 ChatGPT for Programming
04:22:02 Prompt Formulae Chatgpt
05:34:32 Automate Excel using Chatgpt
06:19:09 Generative Adversarial Tutorial
06:20:37 Blogging with ChatGpt
06:47:56 Powerpoint using Chatgpt
06:49:02 Rag Vs Prompt Tuning
07:01:16 Prompt injection
07:53:50 Telegram BOT using ChatGPT
07:54:50 How to Earn Money using ChatGPT
09:09:59 Prompt Engineering Tutorial
09:15:41 Open AI Strawberry Tutorial
09:26:37 Openai sora Tutorial
09:28:52 Langchain Tutorial
09:56:14 Open ai chatgpt o1 model
✅ Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

⏩ Check out the Artificial Intelligence training videos: https://youtube.com/playlist?l....ist=PLEiEAq2VkUULa5a

#gpt #chatgpt #chatgptforbeginners #chatgptcourse #genai #generativeai #artificialintelligence #ai #machinelearning #llm #simplilearn #2025

➡️ About Professional Certificate Program in Generative AI and Machine Learning

Dive into the future of AI with our Generative AI & Machine Learning course, in collaboration with E&ICT Academy, IIT Guwahati. Learn tools like ChatGPT, OpenAI, Hugging Face, Python, and more. Join masterclasses led by IITG faculty, engage in hands-on projects, and earn Executive Alumni Status.

Key Features:
✅ Program completion certificate from E&ICT Academy, IIT Guwahati
✅ Curriculum delivered in live virtual classes by seasoned industry experts
✅ Exposure to the latest AI advancements, such as generative AI, LLMs, and prompt engineering
✅ Interactive live-virtual masterclasses delivered by esteemed IIT Guwahati faculty
✅ Opportunity to earn an 'Executive Alumni Status' from E&ICT Academy, IIT Guwahati
✅ Eligibility for a campus immersion program organized at IIT Guwahati
✅ Exclusive hackathons and “ask-me-anything” sessions by IBM
✅ Certificates for IBM courses and industry masterclasses by IBM experts
✅ Practical learning through 25+ hands-on projects and 3 industry-oriented capstone projects
✅ Access to a wide array of AI tools such as ChatGPT, Hugging Face, DALL-E 2, Midjourney and more
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies

Skills Covered:
✅ Generative AI
✅ Prompt Engineering
✅ Chatbot Development
✅ Supervised and Unsupervised Learning
✅ Model Training and Optimization
✅ Model Evaluation and Validation
✅ Ensemble Methods
✅ Deep Learning
✅ Natural Language Processing
✅ Computer Vision
✅ Reinforcement Learning
✅ Machine Learning Algorithms
✅ Speech Recognition
✅ Statistics

Learning Path:
✅ Program Induction
✅ Programming Fundamentals
✅ Python for Data Science (IBM)
✅ Applied Data Science with Python
✅ Machine Learning
✅ Deep Learning with TensorFlow (IBM)
✅ Deep Learning Specialization
✅ Essentials of Generative AI, Prompt Engineering & ChatGPT
✅ Advanced Generative AI
✅ Capstone
Electives:
✅ ADL & Computer Vision
✅ NLP and Speech Recognition
✅ Reinforcement Learning
✅ Academic Masterclass
✅ Industry Masterclass

👉 Learn More At: https://www.simplilearn.com/iitg-generative-ai-machine-learning-program?utm_campaign=mXPHrdvoI4k&utm_medium=Lives&utm_source=Youtube

CORRECTION: At 10:56 we shouldn't divide by 4 to get the covariance, we should divide by 1+1+1+1/3, which is 10/3. That means the covariances are the following:
Var(x) = 1.056
Var(y) = 0.864
Cov(x,y) = 0.768
(Thank you Shivkumar Pippal!)

Mean, variance, covariance, and the covariance matrix for a dataset and a weighted dataset.

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0:00 Introduction
0:09 The covariance matrix
2:22 Average
3:23 X-variance
5:06 Problem: Same variances
7:59 Formulas
10:30 Center points

Ready to become a certified watsonx AI Assistant Engineer? Register now and use code IBMTechYT20 for 20% off of your exam → https://ibm.biz/BdndTY

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Learn more about Agentic AI + Data here → https://ibm.biz/BdeGLe

What’s the difference between generative AI and agentic AI? 🤔 Martin Keen explains how generative AI powers content creation and image generation, while agentic AI uses LLMs and chain of thought reasoning for proactive tasks like personal shopping and conference planning. Discover the future of intelligent AI collaboration! 🚀

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#generativeai #agenticai #ai #llm

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New Claude Code Update is INSANE! (AI Coding Revolution)

Anthropic just released a massive update to Claude Code Desktop that transforms your computer into an autonomous AI coding machine. Discover how it handles everything from live app previews to automated PR merges while streamlining your entire development workflow. Learn why this update is a game-changer for developers and how to start using it today.

00:00 - Intro: The Massive Claude Update
01:04 - Live App Previews & Auto-Fixing
02:07 - Automated Local Code Reviews
02:47 - CI Failure Handling & Auto-Fix
03:26 - PR Monitoring & Auto-Merge
04:21 - Session Mobility Explained
04:48 - The Future of AI Development
06:59 - How to Get Started with Claude Code

In this lecture, we highlight the course logistics and give a brief overview of the course.