🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐍𝐨𝐝𝐞.𝐣𝐬 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 : https://www.edureka.co/nodejs-....certification-traini (Use code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎")
This Edureka "Introduction to Node.js" video will help you to learn the Node.js fundamentals and how to create an application in Node.js. Node.js is an open-source, cross-platform JavaScript runtime environment for developing a diverse variety of server tools and applications.

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ChatGPT-4 Prompt Engineering: The Tree of Thoughts Process

𝐅𝐢𝐧𝐝 𝐭𝐡𝐞 𝐏𝐫𝐨𝐦𝐩𝐭 𝐓𝐞𝐦𝐩𝐥𝐚𝐭𝐞 𝐇𝐞𝐫𝐞:
https://www.allabtai.com/the-t....ree-of-thoughts-prom

Paper:
https://arxiv.org/abs/2203.02155

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We visited the US Navy to test the best night vision goggles in the world. Head to https://brilliant.org/veritasium to start your free 30-day trial, and the first 200 people get 20% off an annual premium subscription.

If you’re looking for a molecular modeling kit, head to https://ve42.co/SnatomsV to try Snatoms – a kit I invented where the atoms snap together magnetically.

Huge thanks to Dr. Ben Conley and the entire team at the Naval Surface Warfare Center, Crane Division. You can check out more of their work here: https://www.navsea.navy.mil/Ho....me/Warfare-Centers/N
Or their YouTube channel here: https://www.youtube.com/NSWCCraneDivision

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Video References:
Tyson, J. (2001). How Night Vision Works. How Stuff Works. – https://ve42.co/HSWNightVision
Montoro, H. P. Image Intensification: The Technology of Night Vision. Photonics. – https://ve42.co/PhotonicsTech
Brain Stuff - HowStuffWorks via YouTube – https://ve42.co/HSWVideo
Photonis via YouTube – https://ve42.co/Photonis
Operator Drewski via YouTube – https://ve42.co/NVGaming
Night-vision device via Wikipedia – https://ve42.co/NVWiki
Image intensifier via Wikipedia – https://ve42.co/Intensifier
Lodriguss, J. How Digital Cameras Work. AstroPix. –https://ve42.co/AstroPix
Kinka-Byo. (2019). What is the physical cause of increasing noise at high ISO? StackExchange. – https://ve42.co/PhotoISO
Macias, A. (2015). The secret NVGs SEAL Team Six wore on the Bin Laden raid. Business Insider. – https://ve42.co/BINightVision
Van Dommelen, L. Thermionic Emis­sion. Quan­tum Me­chan­ics for En­gi­neers. – https://ve42.co/Thermoionic
Nave, R. (2016). Blackbody Radiation. HyperPhysics. – https://ve42.co/BlackBody
Night Vision Terminology - Generations. ModArmory. – https://ve42.co/ModArmory
NASA (2018). X-ray Detectors - Electrical Current Detections. – https://ve42.co/NASAXRay

Images & Video:
Osama Bin Laden report, via CNN on YouTube - https://ve42.co/CNNOBL
Sicario Night Raid Scene, via Movieclips on YouTube - https://ve42.co/Sicario
Splinter Cell footage, via Ubisoft on YouTube - https://ve42.co/SplinterCell
Step Brothers Night Vision Scene, via masusockvevo on YouTube - https://ve42.co/StepBrothers
Ukraine report, via CNN on YouTube - https://ve42.co/CNNUkraine
FLIR K2 Thermal Imaging Camera footage, via Teledyne FLIR on YouTube - https://ve42.co/FLIRK2
Chandra X-ray Observatory imagery, via NASA - https://ve42.co/NASAChandra

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Special thanks to our Patreon supporters:
Adam Foreman, Anton Ragin, Balkrishna Heroor, Bernard McGee, Bill Linder, Burt Humburg, Chris Harper, Dave Kircher, Diffbot, Evgeny Skvortsov, Gnare, John H. Austin, Jr., john kiehl, Josh Hibschman, Juan Benet, KeyWestr, Lee Redden, Marinus Kuivenhoven, Mario Bottion, Max Maladino, Meekay, meg noah, Michael Krugman, Paul Peijzel, Richard Sundvall, Sam Lutfi, Stephen Wilcox, Tj Steyn, TTST, Ubiquity Ventures

▀▀▀
Directed by Emily Zhang
Written by Emily Zhang and Derek Muller
Edited by Trenton Oliver
Animated by Mike Radjabov, Fabio Albertelli, and Ivy Tello
Filmed by Trenton Oliver, Emily Zhang, Derek Muller, and Raquel Nuno
Produced by Emily Zhang and Derek Muller

Thumbnail by Ren Hurley
Additional video/photos supplied by Getty Images and Pond5
Music from Epidemic Sound

This is a video about how Japanese samurai swords, aka katanas, are made – from the gathering of the iron sand, to the smelting of the steel, to the forging of the blade. Head over to https://hensonshaving.com/veritasium and enter code 'Veritasium' for 100 free blades with the purchase of a razor. Make sure to add both the razor and the blades to your cart for the code to take effect.

Special thanks to our Patreon supporters! Join this list to help us keep our videos free, forever:
https://ve42.co/PatreonDEB

If you’re looking for a molecular modeling kit, try Snatoms, a kit I invented where the atoms snap together magnetically - https://ve42.co/SnatomsV

▀▀▀
A massive thank you to John McBride for making this entire project happen. This would not have been possible without John. Please check out his japan walking tours https://walkjapan.com/
Massive thanks to Craig Mod, Inoue-san, everyone in the Tanabe family, and Takanashi-san. Also a massive thank you to Kevin Cashen – https://cashenblades.com/

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References:
Tanii, H., Inazumi, T., & Terashima, K. (2014). Mineralogical study of iron sand with different metallurgical characteristic to smelting with use of Japanese classic iron-making furnace “Tatara”. ISIJ international, 54(5), 1044-1050.

Tate, M. (2005). History of Iron and Steel Making Technology in Japan Mainly on the smelting of iron sand by Tatara. Tetsu-to-Hagane, 91(1), 2-10.

Krauss, G. (1999). Martensite in steel: strength and structure. Materials science and engineering: A, 273, 40-57.

Krauss, G., & Marder, A. R. (1971). The morphology of martensite in iron alloys. Metallurgical Transactions, 2, 2343-2357.

Yalçın, Ü. (1999). Early iron metallurgy in Anatolia. Anatolian Studies, 49, 177-187.

Kapp, L., Kapp, H., & Yoshihara, Y. (1987). The craft of the Japanese sword. Kodansha International.

Matsumoto, C., Das, A. K., Ohba, T., Morito, S., Hayashi, T., & Takami, G. (2013). Characteristics of Japanese sword produced from tatara steel. Journal of Alloys and Compounds, 577, S673-S677.

Inoue, T. (2010). Tatara and the Japanese sword: the science and technology. Acta Mechanica, 214(1), 17-30.


Images & Video:

Great video from NHK – https://ve42.co/NHK



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Special thanks to our Patreon supporters:

Adam Foreman, Anton Ragin, Balkrishna Heroor, Bill Linder, Blake Byers, Burt Humburg, Chris Harper, Dave Kircher, David Johnston, Diffbot, Evgeny Skvortsov, Garrett Mueller, Gnare, I.H., John H. Austin, Jr. ,john kiehl, Josh Hibschman, Juan Benet, KeyWestr, Lee Redden, Marinus Kuivenhoven, Max Paladino, Meekay, meg noah, Michael Krugman, Orlando Bassotto, Paul Peijzel, Richard Sundvall, Sam Lutfi, Stephen Wilcox, Tj Steyn, TTST, Ubiquity Ventures

▀▀▀
Directed by Petr Lebedev
Written by Petr Lebedev and Derek Muller
Edited by Trenton Oliver, Jack Saxon, Peter Nelson
Animated by Fabio Albertelli, Jakub Misiek, David Szakaly
Filmed by Petr Lebedev and Lui Kimishima
Produced by Petr Lebedev, Derek Muller, Han Evans, Giovanna Utichi, Emily Taylor
Additional research by Gregor Čavlović
Thumbnail by Peter Sheppard


Additional video/photos supplied by Getty Images
Music from Epidemic Sound

For course details please visit: https://ineuron.ai/course/gene....rative-ai-community-

Generative AI Foundational Community Course Part 2 !!!!

#OpenAI #Langchain #Streamlit #MCQGenerator

Connect with us on: +91 8071176111

Social Media Links:-

Instagram1: https://www.instagram.com/official_ineuron.ai/.
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Stay tuned, stay connected, and let's master GenerativeAI together

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** Machine Learning Certification Training - https://www.edureka.co/machine....-learning-certificat **
** Machine Learning Podcast - https://castbox.fm/channel/id1832236 **

This Video covers the Different Trending Machine Learning Projects in the industry that are open source and are helpful to gain knowledge of machine learning and deep learning. This video also covers the practical implementation of Machine Learning in a few real-life scenarios.

Open Source Projects:

TensorFlow.JS: https://github.com/tensorflow/tfjs
Detectron: https://github.com/facebookresearch/Detectron
Denspose: https://github.com/facebookresearch/DensePose
Deep Painterly Harmonization: https://github.com/luanfujun/d....eep-painterly-harmon
Image Outpainting: https://github.com/bendangnuks....ung/Image-OutPaintin
AstroNet: https://github.com/google-research/exoplanet-ml
BERT: https://github.com/google-research/bert
Adanet: https://github.com/tensorflow/adanet
DeepMimic: https://github.com/xbpeng/DeepMimic

PG in Artificial Intelligence and Machine Learning with NIT Warangal : https://www.edureka.co/post-gr....aduate/machine-learn

Post Graduate Certification in Data Science with IIT Guwahati - https://www.edureka.co/post-gr....aduate/data-science-
(450+ Hrs || 9 Months || 20+ Projects & 100+ Case studies)

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

About the Course :

Edureka’s Machine Learning Course using Python is designed to make you grab the concepts of Machine Learning. The Machine Learning training will provide deep understanding of Machine Learning and its mechanism. As a Data Scientist, you will be learning the importance of Machine Learning and its implementation in python programming language. Furthermore, you will be taught of Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to automate real life scenarios using Machine Learning Algorithms. Towards the end of the course we will be discussing various practical use cases of Machine Learning in python programming language to enhance your learning experience.

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

Why Learn Machine Learning with Python?

Data Science is a set of techniques that enables the computers to learn the desired behavior from data without explicitly being programmed. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science. This course exposes you to different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. This course imparts you the necessary skills like data pre-processing, dimensional reduction, model evaluation and also exposes you to different machine learning algorithms like regression, clustering, decision trees, random forest, Naive Bayes and Q-Learning.

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

Objectives of the Course:

After completing this Machine Learning Certification Training using Python, you should be able to:
Gain insight into the 'Roles' played by a Machine Learning Engineer
Automate data analysis using python
Describe Machine Learning
Work with real-time data
Learn tools and techniques for predictive modeling
Discuss Machine Learning algorithms and their implementation
Validate Machine Learning algorithms
Explain Time Series and it’s related concepts
Gain expertise to handle business in future, living the present

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

Who should go for this Course?

Edureka’s Python Machine Learning Certification Course is a good fit for the below professionals:
Developers aspiring to be a ‘Machine Learning Engineer'
Analytics Managers who are leading a team of analysts
Business Analysts who want to understand Machine Learning (ML) Techniques
Information Architects who want to gain expertise in Predictive Analytics
'Python' professionals who want to design automatic predictive models

-------------------------------------------------------------------------------------
*** Machine Learning Podcast - https://castbox.fm/channel/id1832236 ***

Join Edureka’s Meetup community and never miss any event – YouTube Live, Webinars, Workshops, etc. https://bit.ly/2EfTXS1


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

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 𝐂𝐨𝐮𝐫𝐬𝐞 - 𝐁𝐞𝐠𝐢𝐧𝐧𝐞𝐫𝐬 𝐭𝐨 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝: https://www.edureka.co/openai-....chatgpt-training-cou
In this Edureka video on 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 𝐓𝐮𝐭𝐨𝐫𝐢𝐚𝐥 𝐟𝐨𝐫 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫𝐬, you will learn how to use ChatGPT for coding and programming using different languages. ChatGPT can become a very. useful tool for every developer.
00:00:00 ChatGPT for Developers
00:00:40 What is ChatGPT
00:01:37 How ChatGPT Works
00:02:16 ChatGPT vs Codex
00:03:16 How to use ChatGPT
00:03:51 ChatGPT for Programming
00:04:06 ChatGPT for Shell Scripting
00:08:45 ChatGPT for Python Programming
00:10:47 ChatGPT for HTML and CSS Coding
00:12:10 ChatGPT for JavaScript

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Transformer Neural Networks are the heart of pretty much everything exciting in AI right now. ChatGPT, Google Translate and many other cool things, are based on Transformers. This StatQuest cuts through all the hype and shows you how a Transformer works, one-step-at-a time.

NOTE: If you're interested in learning more about Backpropagation, check out these 'Quests:
The Chain Rule: https://youtu.be/wl1myxrtQHQ
Gradient Descent: https://youtu.be/sDv4f4s2SB8
Backpropagation Main Ideas: https://youtu.be/IN2XmBhILt4
Backpropagation Details Part 1: https://youtu.be/iyn2zdALii8
Backpropagation Details Part 2: https://youtu.be/GKZoOHXGcLo

If you're interested in learning more about the SoftMax function, check out:
https://youtu.be/KpKog-L9veg

If you're interested in learning more about Word Embedding, check out: https://youtu.be/viZrOnJclY0

If you'd like to learn more about calculating similarities in the context of neural networks and the Dot Product, check out:
Cosine Similarity: https://youtu.be/e9U0QAFbfLI
Attention: https://youtu.be/PSs6nxngL6k

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

...buying my book, a study guide, a t-shirt or hoodie, or a song from the StatQuest store...
https://statquest.org/statquest-store/

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

Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter:
https://twitter.com/joshuastarmer

0:00 Awesome song and introduction
1:26 Word Embedding
7:30 Positional Encoding
12:53 Self-Attention
23:37 Encoder and Decoder defined
23:53 Decoder Word Embedding
25:08 Decoder Positional Encoding
25:50 Transformers were designed for parallel computing
27:13 Decoder Self-Attention
27:59 Encoder-Decoder Attention
31:19 Decoding numbers into words
32:23 Decoding the second token
34:13 Extra stuff you can add to a Transformer

#StatQuest #Transformer #ChatGPT

🔥Data Analyst Masters Program (Discount Code - YTBE15) - https://www.simplilearn.com/data-analyst-masters-certification-training-course?utm_campaign=SFW4oxVrqhs&utm_medium=DescriptionFirstFold&utm_source=Youtube
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🔥Purdue - Post Graduate Program in Data Analytics - https://www.simplilearn.com/pgp-data-analytics-certification-training-course?utm_campaign=SFW4oxVrqhs&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Caltech - Data Analytics Bootcamp (US Only) - https://www.simplilearn.com/data-analytics-bootcamp?utm_campaign=SFW4oxVrqhs&utm_medium=DescriptionFirstFold&utm_source=Youtube
In 2024, becoming a Data Analyst is one of the smartest career choices you can make! With the demand for data-driven decisions soaring, companies like Google, Amazon, and IBM are on the lookout for skilled data analysts who can turn raw data into actionable insights. This role is future-proof, offering a perfect blend of technology and business. You don’t need to be a coding expert to start; mastering the basics of Python or R, along with tools like Tableau and Power BI, will set you on the right path.

In this video, we’ll walk you through everything you need to know to become a Data Analyst in 2024—from the essential skills and education to industry opportunities and salary expectations. Plus, you’ll get a glimpse into real-world applications of data analysis across various sectors, and how you can advance your career with continuous learning and specialization.
Following are the topics covered in this video:

00:00 - Introduction
01:45 - What does data analyst do
02:45 - How to become Data Analyst
03:30 - Skills
06:22 - Where do they work?
07:07 - How much do they make?
07:27 - How to learn in 2024
09:37 - Networking
11:07 - Job Outlook in 2024

✅Do I need a degree to become a Data Analyst?
Ans : While a degree in fields like statistics or computer science is helpful, practical experience and certifications can also open doors.

✅How much coding do I need to know?
Ans: Basic knowledge of Python or R is enough to get started, with tools like Tableau and Power BI minimizing the need for heavy coding.

✅What is the salary range for Data Analysts in 2024?
Starting salaries typically range from $60,000 to $100,000 or more, depending on experience and location.

✅ Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

✅ You can go through the slides here: https://www.slideshare.net/sli....deshow/how-to-become

⏩ Check out the Data Analytics Training Videos: https://youtube.com/playlist?l....ist=PLEiEAq2VkUUKnB4

✅ Know More about Simplilearn here: https://www.simplilearn.com/?utm_campaign=11Aug2024-How-To-Become-A-Data-Analyst-in-2024&utm_medium=Description&utm_source=youtube

#howToBecomeADataAnalystin2024 #DataAnalystSkills #DataAnalyst #DataAnalytics #PowerBi #Excel #tableau #Simplilearn #2024

➡️ About Post Graduate Program In Data Analytics
This Data Analytics Program is ideal for all working professionals and prior programming knowledge is not required. It covers topics like data analysis, data visualization, regression techniques, and supervised learning in-depth via our applied learning model with live sessions by leading practitioners and industry projects.

✅ Key Features
- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 8X higher live interaction in live online classes by industry experts
- Capstone from 3 domains and 14+ Data Analytics Projects with Industry datasets from Google PlayStore, Lyft, World Bank etc.
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Resume preparation and LinkedIn profile building
- 1:1 mock interview
- Career accelerator webinars

✅ Skills Covered
- Data Analytics
- Statistical Analysis using Excel
- Data Analysis Python and R
- Data Visualization Tableau and Power BI
- Linear and logistic regression modules
- Clustering using kmeans
- Supervised Learning

✅ Enroll Course Now: https://www.simplilearn.com/pgp-data-analytics-certification-training-course?utm_campaign=11Aug2024-How-To-Become-A-Data-Analyst-in-2024&utm_medium=Description&utm_source=youtube

Grokking Machine Learning Book: https://www.manning.com/books/....grokking-machine-lea
40% discount promo code: serranoyt

A friendly introduction to the main algorithms of Machine Learning with examples.
No previous knowledge required.

What is Machine Learning: (0:05)
Linear Regression: (2:25)
Gradient Descent: (4:10)
Naive Bayes: (6:20)
Decision Trees: (10:35)
Logistic Regression: (13:20)
Neural networks: (17:00)
Support Vector Machines: (18:50)
Kernel trick: (20:05)
K-Means clustering: (26:00)
Hierarchical Clustering: (28:30)
Summary: (29:40)

(Thanks to Nick Kartha for breaking down the topics!)

If you like this, there's an extended version in this playlist:
https://www.youtube.com/playli....st?list=PLAwxTw4SYaP

This video introduces the syllabus and organization of the "Introduction to Deep Learning and Generative Modeling" course.

Link to the slides: https://sebastianraschka.com/p....df/lecture-notes/sta

-------

This video is part of my Introduction of Deep Learning course.

Next video: https://youtu.be/6VbtJ9nn5ng

The complete playlist: https://www.youtube.com/playli....st?list=PLTKMiZHVd_2

A handy overview page with links to the materials: https://sebastianraschka.com/b....log/2021/dl-course.h

-------

If you want to be notified about future videos, please consider subscribing to my channel: https://youtube.com/c/SebastianRaschka

🔥PGP in Generative AI and ML in collaboration with Illinois Tech: https://www.edureka.co/executi....ve-programs/pgp-gene
🔥Integrated MS+PGP Program in Data Science & AI:https://www.edureka.co/dual-ce....rtification-programs
This is the ultimate AI full course for absolute beginners who want to understand and start building with Artificial Intelligence — step by step and from scratch.
💡 What You’ll Learn:
✅ What is AI and how it works in 2026
✅ Difference between AI, Machine Learning & Deep Learning
✅ Real-world use cases of AI (ChatGPT, Automation, Robotics, etc.)
✅ Hands-on beginner AI projects (no coding experience required)
✅ Free AI tools and platforms you can start using today
✅ How to build a career in AI
💼 Perfect for:
Students | Beginners | Developers | Entrepreneurs | Anyone curious about Artificial Intelligence
00:00:00 Introduction
00:01:48 What is Artificial Intelligence?
00:04:02 Types Of Artificial Intelligence
00:14:16AI vs Machine Learning vs Deep Learning
00:28:00 What is Deep Learning?
00:39:13 What is LLM? (Large Language Model)
00:55:43 What is AI Ethics?
01:04:19 What is Responsible AI?
01:12:33 Artificial Intelligence with Python
02:51:29 Artificial Neural Network
03:23:17 Recurrent Neural Networks
03:52:09 Convolutional Neural Network
04:12:44 Introduction to TensorFlow
04:36:21 OpenAI o3-mini Model
04:43:33 Introduction to Midjourney
05:02:05 How to use Midjourney?
05:09:48 GitHub Copilot
05:27:07 What is Vibe Coding?
05:36:17 Top 5 AI Frameworks
05:51:02 How AI is Transforming Studio Ghibli-Style Animation?
05:56:29 AI in Web Development
06:21:40 AI in Healthcare
06:30:22 AI in Retail
06:36:31 AI in Automotive
06:46:26 AI for Marketing
06:59:02 AI for Business
07:04:29 AI in Finance
07:13:06 AI for HR
07:19:28 AI in Manufacturing
07:25:55 AI in Cybersecurity
07:35:44 AI for Startup
07:44:17 AI for Testing
07:49:43 AI for Ethical Hacking
07:54:37 AI on Microsoft Azure
08:07:02 AI and Industry 4.0
08:12:03 AI Engineer Learning Path 2025
08:19:15 Top 15 AI Skills You Need to Know
08:27:35 Build AI Applicant Tracking System (ATS)
08:43:09 Artificial Intelligence Interview Questions & Answers

🚀 Subscribe for more free AI & Tech tutorials!
👍 Like this video and comment your favorite part!

#AICourse #ArtificialIntelligence #AIForBeginners #LearnAI #AIFullCourse #MachineLearning #DeepLearning #AITutorial #ai2026 #10HourAICourse #DataScience #AIEducation #AITraining #freeaicourse
🔴 𝐋𝐞𝐚𝐫𝐧 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐅𝐨𝐫 𝐅𝐫𝐞𝐞! 𝐒𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 𝐭𝐨 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐘𝐨𝐮𝐓𝐮𝐛𝐞 𝐂𝐡𝐚𝐧𝐧𝐞𝐥: https://edrk.in/DKQQ4Py


📝Feel free to share your comments below.📝

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🔵 DevOps Online Training: http://bit.ly/3VkBRUT
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Please write back to us at [email protected] or call us at IND: 9606058406 / US: +18885487823 (toll-free) for more information.

How To Build Your First AI Agents. Sign up for a paid Hyperagent plan and get $500 in bonus credits: https://www.hyperagent.com/zinho

You can build an entire team of AI agents — and it's way easier than you think. In this video, I show you how to build your first AI agent from scratch using Hyperagent (built by the team behind Airtable). No code, no complicated setup.

I walk through the one pattern every good agent is built on: solve the problem yourself first in a normal conversation, then turn that solution into an agent that does it on repeat, forever. By the end, you'll have a real agent connected to your actual tools, running on a schedule, handing you finished work while you sleep.

📂 Every prompt from this video + templates: https://www.skool.com/ai-launchpad/about

Chapters:
0:00 - Intro
01:23 - Chatbot vs. Agent
02:00 - The one pattern
02:43 - Connect your tools
03:29 - Solve the problem first
05:56 - Turn it into an Agent
07:04 - Building a skill
09:01 - Building a second agent
10:39 - Command Center
12:05 - The Recap

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