🔥Enroll for Intellipaat's Azure Data Engineering Certification Course: https://intellipaat.com/azure-....data-engineer-certif

#AzureDataEngineerFullCourse #AzureDataFactoryTutorialForBeginners #AzureDataFactoryTutorial #AzureDataFactory #DataEngineeringCourse #AzureDataFactoryProject #Intellipaat

Looking to master Azure and kickstart your career as a Data Engineer? 🌟 This Azure Data Engineer Full Course 2025 is your one-stop solution! Designed specifically for beginners, this Azure Data Factory Tutorial for Beginners covers everything you need to know to work with Azure Data Factory effectively.

In this comprehensive Azure Data Factory Course, you’ll learn:
🎯 How to set up pipelines and dataflows in Azure Data Factory
🎯 Real-time scenarios and use cases for Azure Data Factory
🎯 How to use variables and expressions in Azure Data Factory
🎯 Hands-on projects to make you job-ready

Whether you’re a beginner or looking to enhance your skills, this Azure Data Engineer course ensures you gain practical knowledge and expertise to excel in your career. 💼

📖 Below are the concepts covered in this Azure Data Factory Tutorial For Beginners:
00:00:00 - Introduction to Azure Data Engineer Full Course
00:03:56 - What is Data Engineering?
00:10:30 - DP-203 Certification
00:40:53 - Storage and Azure Storage Benefits
01:06:41 - Replication
01:15:09 - Redundancy/Strategy Types: LRS
01:18:03 - Redundancy/Strategy Types: ZRS
01:21:40 - Redundancy/Strategy Types (Continued): Geo Redundant Storage (GRS)
01:33:24 - Redundancy/Strategy Types (Continued): Geo Zone Redundant Storage (GZRS)
01:37:40 - Redundancy/Strategy Types (Continued): Read Access GRS and Read Access GZRS
01:42:06 - Create Azure Storage Account
02:23:21 - Azure Governance Mechanism
02:29:28 - Why We Create Management Groups
02:35:56 - How to Create Policies
02:39:53 - How to Create Virtual Machines
02:41:58 - Resources Group
02:43:31 - Azure Policies and Azure RBAC
02:47:07 - Microsoft Entra Key
03:01:08 - What is RBAC?
03:12:42 - App Registration
03:34:28 - Data Lake Key Concepts
03:49:11 - What is ETL and ELT?
03:52:17 - Tools of Independent Compute
03:54:14 - What is IR?
03:57:59 - Version Control
04:01:05 - Cloud Deployment Models
04:08:21 - What is Data Factory Encryption?
04:24:47 - Steps of Azure Data Factory
04:47:23 - Working of Azure Data Factory (Continued): Access Azure Data Factory, Factory Resources
06:53:59 - SQL Database
08:04:36 - How to Create a Pipeline
08:35:37 - How to Run Queries
08:54:30 - What is Triggers?
08:57:43 - Adding Triggers to Data Pipelines
09:55:33 - What is Data Flow?
09:58:26 - What is Underline Compute?
10:06:41 - What is YARN?
11:02:04 - What is Aggregation?
11:14:35 - What is GIT and Its Branches?


🤔 What is Azure Data Factory, and why is it important?
Azure Data Factory (ADF) is a cloud-based ETL and data integration service by Microsoft. It's essential for building data pipelines, transforming data, and orchestrating workflows in the cloud.

🤔 Can beginners take this Azure Data Engineer course?
Absolutely! This course is specifically designed for beginners, starting with foundational concepts and advancing to real-world applications.

🤔 What can I expect from this Azure Data Factory tutorial for beginners?
You’ll get a deep dive into building pipelines, data flows, working with variables, and real-time scenarios, making it ideal for beginners looking to learn Azure Data Factory.

🤔 How will this Azure Data Factory course help in career growth?
By mastering Azure Data Factory and understanding its real-time applications, you'll be equipped to take on roles such as Azure Data Engineer, Data Analyst, or ETL Developer.

🎯 About the Course
This Azure Data Engineer Training helps learners refine their skills by implementing Azure data solutions like Azure SQL data warehouse, data factory, and more. Gain expertise in designing data solutions and security. Enroll now!

🎯 Key Features - (Course Features)
👉🏼 26 Hrs Instructor Led Training
👉🏼 26 Hrs Self-paced Videos
👉🏼 24 Hrs Project & Exercises
👉🏼 Certification
👉🏼 Job Assistance
👉🏼 Flexible Schedule
👉🏼 Lifetime Free Upgrade
👉🏼 Mentor Support

🎯 What’s Covered in This Program?
This Azure Data Engineer Course will prepare you for exams DP-203 for implementing and designing Azure data solutions, enabling you to design and perform data management, monitoring, security, and privacy using the complete Azure data services stack. Further, you will learn the following topics:
✅ Implement Azure Data Solution (DP 203)
✅ Execute a data storage solution
✅ Managing and developing data processing
✅ Monitoring and optimizing data solutions

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📚For more information, please write back to us at [email protected] or call us at IND: +91-7022374614 / US : 1-800-216-8930

🔥 Edureka R Training (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎") : https://www.edureka.co/data-an....alytics-with-r-certi
This Edureka R Tutorial (R Tutorial Blog: https://goo.gl/mia382) will help you in understanding the fundamentals of R tool and help you build a strong foundation in R. Below are the topics covered in this tutorial:

1. Why do we need Analytics ?
2. What is Business Analytics ?
3. Why R ?
4. Variables in R
5. Data Operator
6. Data Types
7. Flow Control
8. Plotting a graph in R

Check out our R Playlist: https://goo.gl/huUh7Y

Subscribe to our channel to get video updates. Hit the subscribe button above.

#R #Rtutorial #Ronlinetraining #Rforbeginners #Rprogramming

How it Works?

1. This is a 5 Week Instructor led Online Course, 30 hours of assignment and 20 hours of project work

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 be working on a real time project for which we will provide you a Grade and a Verifiable Certificate!
- - - - - - - - - - - - - - - - -

About the Course
edureka's Data Analytics with R training course is specially designed to provide the requisite knowledge and skills to become a successful analytics professional. It covers concepts of Data Manipulation, Exploratory Data Analysis, etc before moving over to advanced topics like the Ensemble of Decision trees, Collaborative filtering, etc. During our Data Analytics with R Certification training, our instructors will help you:

1. Understand concepts around Business Intelligence and Business Analytics

2. Explore Recommendation Systems with functions like Association Rule Mining , user-based collaborative filtering and Item-based collaborative filtering among others

3. Apply various supervised machine learning techniques

4. Perform Analysis of Variance (ANOVA)

5. Learn where to use algorithms - Decision Trees, Logistic Regression, Support Vector Machines, Ensemble Techniques etc

6. Use various packages in R to create fancy plots

7. Work on a real-life project, implementing supervised and unsupervised machine learning techniques to derive business insights


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

Who should go for this course?

This course is meant for all those students and professionals who are interested in working in analytics industry and are keen to enhance their technical skills with exposure to cutting-edge practices. This is a great course for all those who are ambitious to become 'Data Analysts' in near future. This is a must learn course for professionals from Mathematics, Statistics or Economics background and interested in learning Business Analytics.

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

Why learn Data Analytics with R?

The Data Analytics with R training certifies you in mastering the most popular Analytics tool. "R" wins on Statistical Capability, Graphical capability, Cost, rich set of packages and is the most preferred tool for Data Scientists.

Below is a blog that will help you understand the significance of R and Data Science: Mastering R Is The First Step For A Top-Class Data Science Career

Having Data Science skills is a highly preferred learning path after the Data Analytics with R training. Check out the upgraded Data Science Course

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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🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐆𝐨𝐨𝐠𝐥𝐞 𝐂𝐥𝐨𝐮𝐝 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠: https://www.edureka.co/google-....cloud-architect-cert (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
This "𝐆𝐨𝐨𝐠𝐥𝐞 𝐂𝐥𝐨𝐮𝐝 𝐀𝐧𝐭𝐡𝐨𝐬" video by Edureka will first explain what exactly is google cloud anthos, then talk about its components, features and benefits. Below are the topics covered in this Google Cloud Anthos Tutorial:
00:00:44 What is Google Cloud Platform?
00:02:00 What is Google Cloud Anthos?
00:05:25 Features of Google Cloud Anthos
00:07:20 Benefits of Google Cloud Anthos
00:10:07 Case Study on Google Cloud Anthos

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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

🔵 DevOps Online Training: http://bit.ly/3VkBRUT
🌕 AWS Online Training: http://bit.ly/3ADYwDY
🔵 React Online Training: http://bit.ly/3Vc4yDw
🌕 Tableau Online Training: http://bit.ly/3guTe6J
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🔵 Angular Online Training: http://bit.ly/3EYcCTe

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬

🔵 DevOps Engineer Masters Program: http://bit.ly/3Oud9PC
🌕 Cloud Architect Masters Program: http://bit.ly/3OvueZy
🔵 Data Scientist Masters Program: http://bit.ly/3tUAOiT
🌕 Big Data Architect Masters Program: http://bit.ly/3tTWT0V
🔵 Machine Learning Engineer Masters Program: http://bit.ly/3AEq4c4
🌕 Business Intelligence Masters Program: http://bit.ly/3UZPqJz
🔵 Python Developer Masters Program: http://bit.ly/3EV6kDv
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🌕 Python Developer Masters Program : https://bit.ly/3EV6kDv
🔵 Azure Cloud Engineer Masters Program: http://bit.ly/3AEBHzH

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬

🔵 Post Graduate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT

🔵 Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: http://bit.ly/3V7ffrh

🔵 Advanced Certificate Program in Cloud Computing with E&ICT Academy, IIT Guwahati: https://bit.ly/43vmME8

📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates
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📌𝐒𝐥𝐢𝐝𝐞𝐒𝐡𝐚𝐫𝐞: https://www.slideshare.net/EdurekaIN
📌𝐂𝐚𝐬𝐭𝐛𝐨𝐱: https://castbox.fm/networks/505?country=IN
📌𝐌𝐞𝐞𝐭𝐮𝐩: https://www.meetup.com/edureka/
📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/

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

🔥Purdue - Applied Generative AI Specialization - https://www.simplilearn.com/applied-ai-course?utm_campaign=t27Uz8T-4c8&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Professional Certificate Program in Generative AI and Machine Learning - IITG (India Only) - https://www.simplilearn.com/iitg-generative-ai-machine-learning-program?utm_campaign=t27Uz8T-4c8&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Advanced Executive Program In Applied Generative AI - https://www.simplilearn.com/applied-generative-ai-course?utm_campaign=t27Uz8T-4c8&utm_medium=DescriptionFirstFold&utm_source=Youtube

In this video, we’re diving into the Top 5 FREE AI Writing Tools for 2025 that can transform your content creation process. Whether you're writing blog posts, social media ads, or even fiction, these AI tools can help you write faster and smarter. From tools like Jasper and Rytr to Sudowrite and ChatGPT, we explore how each one can level up your writing game without breaking the bank.

We’ll also talk about how these tools work and why they're some of the best free options available. Plus, you’ll get tips on how to use them effectively to enhance your productivity and creativity. Ready to take your writing to the next level? Let’s get started!

00:00 - Introduction
00:45 - Jasper
04:30 - Writer AI
08:00 - Writesonic
11:30 - Sudowrite
14:00 - ChatGPT

⏩ Check out More AI and ML Videos By Simplilearn: https://www.youtube.com/playli....st?list=PLEiEAq2VkUU

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

👉 Learn More At: https://www.simplilearn.com/iitg-generative-ai-machine-learning-program?utm_campaign=t27Uz8T-4c8&utm_medium=Description&utm_source=Youtube

🔥Artificial Intelligence Engineer (IBM) - https://www.simplilearn.com/masters-in-artificial-intelligence?utm_campaign=ML9AeEYLt0E&utm_medium=DecriptionFirstFold&utm_source=Youtube
🔥Purdue - Post Graduate Program in AI and Machine Learning - https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=ML9AeEYLt0E&utm_medium=DecriptionFirstFold&utm_source=Youtube
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This Introduction to Artificial Intelligence Full Course by Simplilearn provides the best tutorial to learning AI. This AI Full Course begins with an Introduction to Artificial Intelligence that provides a complete overview of AI and its applications. The AI tutorial then proceeds by explaining what artificial intelligence is, followed by the AI engineer roadmap and insights into the future of artificial intelligence. You’ll learn core concepts like deep learning, machine learning, and the differences between AI, ML, and DL. The course highlights Gen AI, advanced tools like OpenAI Strawberry, and explains how to run Lama privately. You'll also explore LLM benchmarking, multimodal AI, and technologies like Transformers and LangChain. Key topics like AI bias, reinforcement learning, and recurrent neural networks are covered in-depth. Practical insights include AI coding tools, top AI certifications, beginner-friendly AI and ML projects, and tips to build a career in AI. By the end, you'll have the skills to tackle AI interview questions, build websites with AI, and advance in this dynamic field.

Following are the Topics covered in this AI Full Course 2025 by Simplilearn:

00:00:00 Introduction to Artificial Intelligence Full Course
00:08:08 What is Artificial Intelligence
00:16:33 Artificial Intelligence Engineer Roadmap
00:25:39 Future of Artificial Intelligence
00:32:38 Introduction to Deep Learning
00:44:42 Best Artificial Intelligence Coding tools
00:53:11 Top 7 Highest Paying AI Certificatsions
01:02:49 Top to learn technologies to learn
01:09:31 AI Carrers
01:10:16 What is Gen AI
01:20:48 AI Engieer Roadmap
01:35:53 How to get Job in Artificial Intelligence
02:32:30 What is Machine Learning
02:38:11 AI Bias
02:43:53 Open AI Strawberry
02:50:04 Difference between AI ML and DL
02:51:11 Run Lama Privately
02:59:55 Introduction to LLM
03:13:24 LLM Benchmarkeing
03:19:01 Mutimodel Artificial Intelligence
03:38:52 Chatgpt analyse
03:39:53 Transformers in Artificial Intelligence
07:04:07 Reinforcement Learning
07:04:57 Q Learning
07:27:58 Langchain Explained
07:38:57 Cursor AI
09:55:07 Recurrent Neural Network
10:12:52 ML Projects for Beginners
10:38:33 Build Website with AI
10:51:52 AI Projects For Beginners

✅Subscribe to our Channel to learn more about the top Technologies: https://www.youtube.com/user/Simplilearn

⏩ Check out the Artificial Intelligence tutorial videos: https://www.youtube.com/watch?v=ad79nYk2keg&list=PLEiEAq2VkUULyr_ftxpHB6DumOq1Zz2hq

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➡️ About Professional Certificate Course in Generative AI and Machine Learning

This AI ML program is designed to enhance your career in AI and ML by demystifying concepts like ML, DL, NLP, computer vision, generative AI, prompt engineering, and more. You'll also receive access to dedicated live sessions led by industry experts covering the latest trends in AI, such as generative modeling, ChatGPT, explainable AI, and more.

Key Features
✅ Program completion certificate from Purdue University and Simplilearn
✅ Live-online masterclasses delivered by Purdue faculty and IBM experts
✅ Live interactive sessions on the latest AI trends, such as ChatGPT, generative AI, prompt engineering, and more
✅ Core curriculum delivered in live classes by industry experts
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies
✅ Gain exposure to ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools
✅ 3 capstones and 25+ hands-on projects from various industry domains
✅ Access to Purdue’s alumni association membership on completion

👉Learn more at- https://www.simplilearn.com/iitk-professional-certificate-course-ai-machine-learning?utm_campaign=ML9AeEYLt0E&utm_medium=Decription&utm_source=Youtube

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭 𝐀𝐳𝐮𝐫𝐞 𝐃𝐞𝐯𝐎𝐩𝐬 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧: https://www.edureka.co/microso....ft-azure-devops-solu
This Edureka live video on Azure DevOps Full Course will give you a detailed study introduction on how you can implement DevOps practices on Microsoft Azure. Topics Covered :
00:00:00 Introduction
00:01:25 Agenda
00:02:51 What is Azure?
00:06:40 What is Cloud Computing
00:14:07 Microsoft Azure
00:14:14 How to launch these services in Azure
00:29:51 Demo
00:47:59 Azure Certification
00:49:40 Types of Azure Certifications
00:58:55 How to create azure Free Account
01:04:26 Azure Portals
01:18:29 Azure Virtual Machine
01:22:36 Azure VM Architecture
01:31:33 Azure VM Hands-on
01:39:54 Introduction to Azure Kubernetes Services
01:46:12 Container Vs VM
01:51:14 What is Kubernetes
02:06:32 Working of AKS
02:10:43 Use Case
02:29:31 ARM Templates
02:52:31 Demo
02:57:48 What is Azure Active Directory
03:02:35 Service Audience
03:05:01 Active Directory Tenants
03:06:29 Demo
03:24:31 Introduction to DevOps
03:47:45 DevOps Tools
04:09:24 DevOps Automation
04:12:17 What is Git?
04:36:47 Git Operations & Commands
05:04:39 Introduction to SSH Keys
05:06:34 GitHub Basics
05:11:23 Getting Started with GitHub
05:18:30 Creating a Repository
05:26:39 Make a Commit
05:31:02 Open & Merge Pull Request
05:36:07 Jenkins - CI/CD
05:53:33 Hands-on
06:37:27 Docker - Containerization
06:49:25 What is DockerImage
06:52:21 What is Dockerfile
06:55:39 Docker Commands
07:01:34 Hands-on
07:13:48 Azure DevOps Basics
07:36:08 Case Study
07:37:38 Azure DevOps Testplan
07:46:58 Hands-on
08:03:07 Azure DevOps Artifacts
08:07:16 Demo
08:26:54 Azure Boards
08:30:25 Demo - Azure Boards Walkthrough
08:39:39 Azure DevOps Pipeline
08:43:32 Demo
08:52:30 Azure DevOps CI/CD Pipeline
09:26:48 AWS DevOps Vs Azure DevOps
09:30:32 Azure DevOps Interview Questions& Answers

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Леонардо, то ли просто дрон с ногами, то ли не просто, умеет ходить по канату и кататься на скейтборде задом наперед, а его усовершенствованные потомки, возможно, когда-нибудь полетят в космос. По крайней мере, на это надеются его создатели. Дерек Маллер отправился посмотреть на Лео, посоревновался с ним и показал, в каких условиях его тестируют. Как думаете, у этого чуда техники большое будущее?

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© https://www.youtube.com/c/veritasium/
Источник: https://youtu.be/H1_OpWiyijU

A quantum computer in the next decade could crack the encryption our society relies on using Shor's Algorithm. 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.

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A huge thank you to those who helped us understand this complex field and ensure we told this story accurately - Dr. Lorenz Panny, Prof. Serge Fehr, Dr. Dustin Moody, Prof. Benne de Weger, Prof. Tanja Lange, PhD candidate Jelle Vos, Gorjan Alagic, and Jack Hidary.

A huge thanks to those who helped us with the math behind Shor’s algorithm - Prof. David Elkouss, Javier Pagan Lacambra, Marc Serra Peralta, and Daniel Bedialauneta Rodriguez.

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References:
Joseph, D., et al. (2022). Transitioning organizations to post-quantum cryptography. Nature, 605(7909), 237-243. - https://ve42.co/Joseph2022

Bernstein, D. J., & Lange, T. (2017). Post-quantum cryptography. Nature, 549(7671), 188-194. - https://ve42.co/Bernstein2017

An Insight, An Idea with Sundar Pichai - Quantum Computing, Wold Economic Forum via YouTube - https://ve42.co/QCWEFyt

Migrating to Post-Quantum Cryptography, The White House - https://ve42.co/PQCWhiteHouse

Kotas, W. A. (2000). A brief history of cryptography. University of Tennessee - https://ve42.co/Kotas2000

Hellman, M. (1976). New directions in cryptography. IEEE transactions on Information Theory, 22(6), 644-654. - https://ve42.co/Hellman1976

Rivest, R. L., Shamir, A., & Adleman, L. (1978). A method for obtaining digital signatures and public-key cryptosystems. Communications of the ACM, 21(2), 120-126. - https://ve42.co/Rivest1978

Kak, A. (2023). Lecture 12: Public-Key Cryptography and the RSA Algorithm - https://ve42.co/Kak2023

Calderbank, M. (2007). The RSA Cryptosystem: History, Algorithm, Primes. University of Chicago. - https://ve42.co/Calderbank2007

Cryptographic Key Length Recommendation, Keylength - https://ve42.co/KeyLength

Coppersmith, D. (2002). An approximate Fourier transform useful in quantum factoring. arXiv preprint quant-ph/0201067. - https://ve42.co/Coppersmith2002

Quantum Fourier Transform, Qiskit - https://ve42.co/Qiskit

Shor, P. W. (1994, November). Algorithms for quantum computation: discrete logarithms and factoring. In Proceedings 35th annual symposium on foundations of computer science (pp. 124-134). IEEE. - https://ve42.co/Shor1994

Shor’s algorithm, Wikipedia - https://ve42.co/ShorWiki

Euler’s totient function, Wikipedia - https://ve42.co/EulerWiki

Asfaw, A. (2020). Shor’s Algorithm Lecture Series, Qiskit Summer School - https://ve42.co/ShorYT

How Quantum Computers Break Encryption, minutephysics via YouTube - https://ve42.co/PQCmpyt

Breaking RSA Encryption - an Update on the State-of-the-Art, QuintessenceLabs - https://ve42.co/QuintessenceLabs

O'Gorman, J., & Campbell, E. T. (2017). Quantum computation with realistic magic-state factories. Physical Review A, 95(3), 032338. - https://ve42.co/OGorman2017

Gidney, C., & Ekerå, M. (2021). How to factor 2048 bit RSA integers in 8 hours using 20 million noisy qubits. Quantum, 5, 433. - https://ve42.co/Gidney2021

2021 Quantum Threat Timeline Report, Global Risk Institute - https://ve42.co/QuantumRisk

The IBM Quantum Development Roadmap, IBM - https://ve42.co/IBMQC

Post-Quantum Cryptography, Computer Security Resource Center (NIST) - https://ve42.co/CSRCPQC

Alagic, G., et al. (2022). Status report on the third round of the NIST post-quantum cryptography standardization process. US Department of Commerce, NIST. - https://ve42.co/Alagic2022

Thijs, L. (2015). Lattice cryptography and lattice cryptanalysis - https://ve42.co/Thijs2015

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Written by Casper Mebius & Derek Muller
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🔥Agentic AI Training Course - Master AI Agents: https://www.edureka.co/agentic-ai-training-course

Explore the future of artificial intelligence with Agentic AI! In this video, we dive into the exciting developments and advancements that are set to shape the industry in 2025. We will learn what Agentic AI is and how it goes beyond traditional AI by acting with purpose and autonomy. You’ll discover 5 powerful secrets behind Agentic AI—from multi-agent collaboration to real-world tool integration and ethical guardrails. By the end, you’ll understand how Agentic AI is transforming industries and why it’s the future of intelligent systems.

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00:00:00 Introduction
00:17:13 What is Agentic AI?
00:36:19 Agentic AI vs Generative AI
00:46:07 Agentic AI Roadmap
00:52:18 Introduction to Artificial Intelligence
00:58:37 Introduction to Deep Learning
02:28:29 Artificial Neural Network
03:08:09 Transformers Explained Using Generative AI
03:09:37 Transformers Neural Networks Explained
03:21:52 What are Large Language Models?
03:38:17 LLM vs SLM
03:41:59 What is LangChain?
03:59:35 What is RAG?
04:22:07 LLMOps: The Future of AI Development
04:29:57 Prompt Engineering
04:42:41 Natural Language Processing (NLP) & Text Mining using NLTK
05:22:21 KNN Algorithm using Python
05:45:23 Alibaba’s Qwen 2.5-Max Just Beat GPT-4 & DeepSeek?
05:49:47 DeepSeek vs OpenAI: Who Wins the AI Race?
06:02:06 Deep Learning Interview Questions

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𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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

What is Agentic AI?
Agentic AI refers to artificial intelligence systems that can autonomously make decisions, take actions, and pursue goals with minimal human intervention. Unlike traditional AI, which adheres to predetermined rules, agentic AI may dynamically adapt to new situations. It is widely utilized in robotics, virtual assistants, self-driving cars, and sophisticated decision-making processes.

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In order to complete this course successfully, participants need to have a basic understanding of the Python programming language, machine learning, deep learning, natural language processing, generative AI, and prompt engineering concepts.

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The Agentic AI online Training Course is ideal for AI enthusiasts, developers, and professionals looking to build autonomous AI agents. It is best suited for LLM Engineers, Generative AI Engineers, AI Research scientists, AI/ML practitioners, and freshers who want to leverage Agentic AI for automation and decision-making.

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The Content Marketing Full Course by Simplilearn covers key areas such as creating content strategies, improving SEO, and using AI tools to boost marketing efforts. It begins with a Content Marketing Tutorial and explains how Google ranks websites through SEO audits and keyword research. The course features WordPress tutorials, MailChimp integration, and using ChatGPT for blogging, SEO optimization, and content creation. It also explores how to become a copywriter, sell ebooks using AI, and create digital products, highlighting modern methods to maximize digital marketing success.

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05:27:27 - ChatGPT made SEO Easy
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06:37:33 - MailChimp Tutorial
07:02:12 - How to become copywriter
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07:39:59 - Create and sell digital products using AI
07:54:33 - ChatGPT for digital marketing
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For more information about Stanford's Artificial Intelligence programs visit: https://stanford.io/ai

This lecture provides a concise overview of building a ChatGPT-like model, covering both pretraining (language modeling) and post-training (SFT/RLHF). For each component, it explores common practices in data collection, algorithms, and evaluation methods. This guest lecture was delivered by Yann Dubois in Stanford’s CS229: Machine Learning course, in Summer 2024.

Yann Dubois
PhD Student at Stanford
https://yanndubs.github.io/

About the speaker: Yann Dubois is a fourth-year CS PhD student advised by Percy Liang and Tatsu Hashimoto. His research focuses on improving the effectiveness of AI when resources are scarce. Most recently, he has been part of the Alpaca team, working on training and evaluating language models more efficiently using other LLMs.

To view all online courses and programs offered by Stanford, visit: http://online.stanford.edu

Chapters:
00:00 - Introduction
00:10 - Recap on LLMs
00:16 - Definition of LLMs
00:19 - Examples of LLMs
01:16 - Importance of Data
01:20 - Evaluation Metrics
01:33 - Systems Component
01:41 - Importance of Systems
01:47 - LLMs Based on Transformers
01:57 - Focus on Key Topics
02:00 - Transition to Pretraining
03:02 - Overview of Language Modeling
04:17 - Generative Models Explained
05:15 - Autoregressive Models Definition
06:36 - Autoregressive Task Explanation
07:49 - Training Overview
08:48 - Tokenization Importance
10:50 - Tokenization Process
13:30 - Example of Tokenization
16:00 - Evaluation with Perplexity
20:50 - Current Evaluation Methods
24:30 - Academic Benchmark: MMLU

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Dive into the world of artificial intelligence with this comprehensive LLM Prompt Engineering Full Course by edureka! in collaboration with Veranda Enterprise. In this course, you'll learn how to effectively communicate with large language models like ChatGPT by mastering the art of prompt engineering. From the fundamentals of zero-shot and few-shot prompting to advanced techniques like chain-of-thought and structured prompting, this course is designed to equip you with the practical skills needed to build powerful AI-driven applications. Whether you're a developer, data scientist, or complete beginner, this full course provides real-world examples, hands-on demos, and expert tips to help you unlock the full potential of generative AI. Start your journey into prompt engineering and take your AI skills to the next level.

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🔥Generative AI Course: Masters Program: https://www.edureka.co/masters....-program/generative-

00:00:00 Introduction
00:01:58 What is Prompt Engineering?
00:16:11 What are Large Language Models?
00:37:10 LLM vs SLM
00:42:52 What is Generative AI?
00:57:02 Prompt Engineering For Code Generation
01:06:43 GitHub Copilot Tutorial
01:23:51 Building a Chatbot with Prompt Engineering
01:39:20 What is LangChain?
01:56:35 What is RAG?
02:19:32 LLMOps: The Future of AI Development
02:25:55 What is Agentic AI?
02:36:47 Agentic AI vs Generative AI
02:57:58 What Is Multimodal AI?
03:14:58 Prompt Engineering Roadmap
03:22:38 Top 15 Popular Gen AI Tools You Must Know
03:40:38 Generative AI Interview Questions

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The Excel Full Course Video By Simplilearn will help you learn Microsoft excel from basics to advanced. The full course begins with an Introduction to Excel and covers everything from beginners to advanced, including creating funnel charts, mastering SUMIFS and AVERAGEIFS formulas, and advanced tips like the IF formula. You’ll also explore data visualization, building professional Excel charts, and creating dependent drop-down lists. Additionally, it includes modern tools such as Power Query, AI for data analytics, and even ChatGPT for dashboard building. This course also addresses essential topics like data cleaning, comparisons of data analysts vs data scientists, and understanding databases vs data warehouses.

00:00:00 Introduction to Excel Full Course
05:34:44 Excel Full Course Beginners to Advanced
05:38:08 How To Create A Funnel Chart In Excel
05:42:10 Big Data in 5 minutes
05:50:28 Data Analyst Roadmap
05:52:32 Data Science Vs Data Analyst
06:02:55 Data Science Vs Data Analyst
06:25:18 Data Analytics using AI
06:31:31 How To Use The Scan Function in Excel ?
06:41:49 How To Use IF Formula In Excel - ADVANCED TIPS
06:44:12 SUMIFS Formula in Excel
07:21:22 Data VisuALIZATION In EXCEL
07:27:08 Compare Two Lists And Find A Match In Excel
07:31:20 Build Excel Charts Like A Pro
07:44:34 Create Multiple Dependent DROP DOWN LIST In EXCEL
07:48:27 SUMPRODUCT Excel
07:50:18 AVERAGEIFS Formula in Excel
08:08:45 How to use microsoft power query
08:14:10 How To Import Excel Data File To MySQL Workbench
08:20:49 How To Import Excel Data In Power BI
08:22:33 How to Import Data from Web to Excel
08:52:31 Master DATA CLEANING In EXCEL
08:53:25 Database Vs Data Warehouse
09:03:46 Database Vs Data Warehouse
09:22:06 Excel Dashboard For Beginners
09:26:41 How To Use AI In Excel ?
09:42:07 How To Build Automated Payslip Generator In Excel
09:51:28 Copilot In EXCEL
10:04:10 Learn EXCEL Using Google Gemini
10:19:47 ChatGPT And Excel For Data Analytics
10:36:08 Data Transformation
11:07:07 ChatGPT for Excel Dashboard
11:30:53 Top 10 Important Excel Formulas For Analysts In 2024

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Welcome to our in-depth tutorial on Ethical HackerGPT! In this video, we'll explore HackerGPT, a specialized version of ChatGPT designed specifically for cybersecurity and ethical hacking. With cyberattacks occurring every 39 seconds and causing billions in damages, HackerGPT provides crucial tools and knowledge to protect against these threats. Discover how HackerGPT can guide you through a variety of topics, including performing security assessments, ethical hacking techniques, and scripting for system security. HackerGPT adheres strictly to ethical guidelines, ensuring all guidance aligns with legal and professional standards. Learn how to become a skilled cybersecurity professional, equipped to defend against cyber threats ethically and effectively. Join us for this engaging and informative tutorial, and enhance your cybersecurity skills with HackerGPT.

Here in this Ethical HackerGPT Tutorial, we cover the following topics:

00:00 Introduction to Cyber Security
02:10 Exploring Ethical Hacker GPT
04:33 Asking General Cybersecurity prompts from Ethical HackerGPT
06:05 Asking Ethical Hacking prompts from Ethical HackerGPT
07:33 Asking Scripting and Automation prompts from Ethical HackerGPT
09:39 Asking Specific Security Tools prompts from Ethical HackerGPT
10:47 Asking Incident Response prompts from Ethical HackerGPT
12:40 Asking Advanced Topics prompts from Ethical HackerGPT
15:55 Asking Cybersecurity Policies and Compliance prompts from Ethical HackerGPT

FAQs

1. What is HackerGPT and how does it work?
HackerGPT is a specialized version of ChatGPT designed for cybersecurity and ethical hacking. It provides guidance on a wide range of security topics, including vulnerability assessments, ethical hacking techniques, and scripting for system security. HackerGPT helps users understand and mitigate potential cyber threats while adhering to legal and ethical guidelines.

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Yes, HackerGPT is designed to follow strict ethical guidelines. It does not provide assistance for any queries deemed unethical or illegal. Its purpose is to help users learn and practice cybersecurity techniques responsibly, ensuring all guidance aligns with legal and professional standards.

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Want to learn more? I’m hosting a 6-week live BootCamp for AI Builders.
👉 Save 40% on the New Years Cohort: https://maven.com/shaw-talebi/....ai-builders-bootcamp

This is the 6th video in a series on using large language models (LLMs) in practice. Here, I review key aspects of developing a foundation LLM based on the development of models such as GPT-3, Llama, Falcon, and beyond.

More Resources:
▶️ Series Playlist: https://www.youtube.com/playli....st?list=PLz-ep5RbHos Read more: https://towardsdatascience.com..../how-to-build-an-llm

[1] BloombergGPT: https://arxiv.org/pdf/2303.17564.pdf
[2] Llama 2: https://ai.meta.com/research/p....ublications/llama-2-
[3] LLM Energy Costs: https://www.statista.com/stati....stics/1384401/energy
[4] arXiv:2005.14165 [cs.CL]
[5] Falcon 180b Blog: https://huggingface.co/blog/falcon-180b
[6] arXiv:2101.00027 [cs.CL]
[7] Alpaca Repo: https://github.com/gururise/AlpacaDataCleaned
[8] arXiv:2303.18223 [cs.CL]
[9] arXiv:2112.11446 [cs.CL]
[10] arXiv:1508.07909 [cs.CL]
[11] SentencePience: https://github.com/google/sent....encepiece/tree/maste
[12] Tokenizers Doc: https://huggingface.co/docs/tokenizers/quicktour
[13] arXiv:1706.03762 [cs.CL]
[14] Andrej Karpathy Lecture: https://www.youtube.com/watch?v=kCc8FmEb1nY&t=5307s
[15] Hugging Face NLP Course: https://huggingface.co/learn/n....lp-course/chapter1/7
[16] arXiv:1810.04805 [cs.CL]
[17] arXiv:1910.13461 [cs.CL]
[18] arXiv:1603.05027 [cs.CV]
[19] arXiv:1607.06450 [stat.ML]
[20] arXiv:1803.02155 [cs.CL]
[21] arXiv:2203.15556 [cs.CL]
[22] Trained with Mixed Precision Nvidia: https://docs.nvidia.com/deeple....arning/performance/m
[23] DeepSpeed Doc: https://www.deepspeed.ai/training/
[24] https://paperswithcode.com/method/weight-decay
[25] https://towardsdatascience.com..../what-is-gradient-cl
[26] arXiv:2001.08361 [cs.LG]
[27] arXiv:1803.05457 [cs.AI]
[28] arXiv:1905.07830 [cs.CL]
[29] arXiv:2009.03300 [cs.CY]
[30] arXiv:2109.07958 [cs.CL]
[31] https://huggingface.co/blog/ev....aluating-mmlu-leader
[32] https://www.cs.toronto.edu/~hi....nton/absps/JMLRdropo

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Intro - 0:00
How much does it cost? - 1:30
4 Key Steps - 3:55
Step 1: Data Curation - 4:19
1.1: Data Sources - 5:31
1.2: Data Diversity - 7:45
1.3: Data Preparation - 9:06
Step 2: Model Architecture (Transformers) - 13:17
2.1: 3 Types of Transformers - 15:13
2.2: Other Design Choices - 18:27
2.3: How big do I make it? - 22:45
Step 3: Training at Scale - 24:20
3.1: Training Stability - 26:52
3.2: Hyperparameters - 28:06
Step 4: Evaluation - 29:14
4.1: Multiple-choice Tasks - 30:22
4.2: Open-ended Tasks - 32:59
What's next? - 34:31

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