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🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚'𝐬 𝐑𝐞𝐚𝐜𝐭 𝐍𝐚𝐭𝐢𝐯𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠  (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞 - 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎) :
https://www.edureka.co/reactjs....-redux-certification
This Edureka video on React Native Interview Questions will help you to crack any react native interview and Here are the topics that are covered in this video:
00:00 Introduction
00:18 Agenda
01:22 About React Native?
01:53 How Popular is React Native
02:30 Jobs and Salary Trends
03:15 Skills Required to Become a React Native Developer
04:14 React Native Interview Questions for Beginners
12:04 React Native Interview Questions for Intermediates
20:00 React Native Interview Questions for Advanced
28:34 MCQs on react native
📝Feel free to comment your doubts in the comment section below, and we will be happy to answer📝

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

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🔵 Azure Cloud Engineer Masters Program: https://bit.ly/3NQb9Ax

--------𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏𝗼𝘀𝘁 𝗚𝗿𝗮𝗱𝘂𝗮𝘁𝗲 𝐂𝐨𝐮𝐫𝐬𝐞𝐬--------
🔵 Artificial and Machine Learning PGD with E & ICT Academy
NIT Warangal: https://bit.ly/3Kji6bb
🌕 Post Graduate Program in DevOps with Purdue University: https://bit.ly/3uoajDH

📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟐 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢
⏩𝐓𝐨𝐩 𝟏𝟎 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟮: https://bit.ly/3yhEs7S
⏩𝐓𝐨𝐩 𝟏𝟎 𝐇𝐢𝐠𝐡𝐞𝐬𝐭 𝐏𝐚𝐲𝐢𝐧𝐠 𝐉𝐨𝐛𝐬 𝐅𝐨𝐫 𝟐𝟎𝟐𝟐: https://bit.ly/3HcpPG6
⏩𝐓𝐨𝐩 𝟏𝟎 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬 𝐟𝐨𝐫 𝟐𝟎𝟐𝟐: https://bit.ly/3FW6F69
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Is there any eligibility criteria for this program?
A potential candidate must have one of the following prerequisites: Degrees like BCA, MCA, and B.Tech or Programming experience Should have studied PCM in 10+2

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐆𝐨𝐨𝐠𝐥𝐞 𝐂𝐥𝐨𝐮𝐝 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠: https://www.edureka.co/google-....cloud-architect-cert (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
This Edureka video on "𝐆𝐂𝐏 𝐈𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰 𝐐𝐮𝐞𝐬𝐭𝐢𝐨𝐧𝐬" will address the various GCP Interview Questions and Answers. Then, we will talk about the skills required to become a Cloud Engineer and conclude the session by discussing about Google Cloud Certification training.
Following topics are covered in this "GCP Interview Questions":
00:01:20 GCP Interview Questions & Answers
00:36:20 Skills required to become a Cloud Engineer
00:39:40 Google Cloud Certification

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🔵 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
🔵 Power BI Online Training: http://bit.ly/3VntjMY
🌕 Selenium Online Training: http://bit.ly/3EVDtis
🔵 PMP Online Training: http://bit.ly/3XugO44
🌕 Salesforce Online Training: http://bit.ly/3OsAXDH
🔵 Cybersecurity Online Training: http://bit.ly/3tXgw8t
🌕 Java Online Training: http://bit.ly/3tRxghg
🔵 Big Data Online Training: http://bit.ly/3EvUqP5
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🌕 Azure Online Training: http://bit.ly/3i4P85F
🔵 GCP Online Training: http://bit.ly/3VkCzS3
🌕 Microservices Online Training: http://bit.ly/3gxYqqv
🔵 Data Science Online Training: http://bit.ly/3V3nLrc
🌕 CEHv12 Online Training: http://bit.ly/3Vhq8Hj
🔵 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
🌕 RPA Developer Masters Program: http://bit.ly/3OteYfP
🔵 Web Development Masters Program: http://bit.ly/3U9R5va
🌕 Computer Science Bootcamp Program : http://bit.ly/3UZxPBy
🔵 Cyber Security Masters Program: http://bit.ly/3U25rNR
🌕 Full Stack Developer Masters Program : http://bit.ly/3tWCE2S
🔵 Automation Testing Engineer Masters Program : http://bit.ly/3AGXg2J
🌕 Python Developer Masters Program : https://bit.ly/3EV6kDv
🔵 Azure Cloud Engineer Masters Program: http://bit.ly/3AEBHzH

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬

🌕 Professional Certificate 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

🌕 Artificial and Machine Learning PGD with E&ICT Academy
NIT Warangal: http://bit.ly/3OuZ3xs

📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 2023 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢
⏩ NEW Top 10 Technologies To Learn In 2023 - https://youtu.be/udD_GQVDt5g

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🔥 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐅𝐥𝐮𝐭𝐭𝐞𝐫 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎) : https://www.edureka.co/flutter....-development-certifi
This Edureka video on "What is Flutter" will talk about the most trending app development framework - Flutter. Flutter is an open-source mobile app development framework that uses Dart language to create fast, visually appealing and feature-rich apps for both Android and iOS platforms.

Flutter provides pre-built widgets and tools to simplify development and has a hot reload feature that allows for real-time UI changes. Flutter makes it easy to create beautiful and engaging mobile apps quickly and efficiently, delivering a seamless user experience across multiple platforms.

Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV

🔴 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
🔵 Power BI Online Training: http://bit.ly/3VntjMY
🌕 Selenium Online Training: http://bit.ly/3EVDtis
🔵 PMP Online Training: http://bit.ly/3XugO44
🌕 Salesforce Online Training: http://bit.ly/3OsAXDH
🔵 Data Science Online Training: http://bit.ly/3V3nLrc
🌕 CEHv12 Online Training: http://bit.ly/3Vhq8Hj

🔴 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
🔵 Business Intelligence Masters Program: http://bit.ly/3UZPqJz

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬

🔵 Artificial and Machine Learning PGD with E&ICT Academy
NIT Warangal: http://bit.ly/3OuZ3xs

🌕 Professional Certificate 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

🔵 About Edureka Flutter Application Development Course

Edureka's Flutter Application Development Course is a comprehensive program designed by industry experts having 10+ years of experience to help you become a proficient Flutter developer. You will be taught about the fundamental concepts of application development using the Flutter framework and the Dart programming language. This course enables you to build high-performance, visually engaging, and user-friendly apps using Flutter and helps you master key concepts such as Flutter widgets, state management, asynchronous programming, and network integration, along with hands-on experience to build real-world applications. Enroll now to become a certified Flutter Developer professional.

🔵 Why take up the Online Edureka Flutter Application Development Course?

Flutter is backed by Google, adopted by renowned brands, and maintained by a community of developers

As of the year 2022, the Playstore hosts over 24,000 Flutter applications, and have been downloaded 11B times

Flutter allows you to build cross-platform apps using a single codebase for mobile, web, desktop, and embedded devices

🔵 Who should go for this Flutter Application Development Course?

The course is designed for all those professionals who want to learn application development using Flutter. This course will be ideal for:

Beginners who want to develop Flutter applications.
Advanced Web or Mobile Developers who are new to Dart and Google Flutter Mobile SDK.
Android developers who want to build iOS Apps with a single codebase.
iOS developers who want to build Android Apps with a single codebase.

📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 2023 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢
⏩ NEW Top 10 Technologies To Learn In 2023 - https://youtu.be/udD_GQVDt5g

📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates
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This video on "What is Deep Learning" provides a fun and simple introduction to its concepts. We learn about where Deep Learning is implemented and move on to how it is different from machine learning and artificial intelligence. We will also look at what neural networks are and how they are trained to recognize digits written by hand. We further look at some popular applications of Deep Learning. So, let’s dive into the world of Deep Learning with this video.

Don't forget to take the quiz at 04:26!

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Simplilearn’s Deep Learning course will transform you into an expert in Deep Learning techniques using TensorFlow, the open-source software library designed to conduct machine learning & deep neural network research. With our Deep Learning course, you'll master Deep Learning and TensorFlow concepts, learn to implement algorithms, build artificial neural networks and traverse layers of data abstraction to understand the power of data and prepare you for your new role as Deep Learning scientist.

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Advancements in Deep Learning are being seen in smartphone applications, creating efficiencies in the power grid, driving advancements in healthcare, improving agricultural yields, and helping us find solutions to climate change. With this Tensorflow course, you’ll build expertise in Deep Learning models, learn to operate TensorFlow to manage neural networks and interpret the results. According to payscale.com, the median salary for engineers with Deep Learning skills tops $120,000 per year.

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3. Master and comprehend advanced topics such as convolutional neural networks, recurrent neural networks, training deep networks and high-level interfaces
4. Build Deep Learning models in TensorFlow and interpret the results
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There is booming demand for skilled Deep Learning engineers across a wide range of industries, making this Deep Learning course with TensorFlow training well-suited for professionals at the intermediate to advanced level of experience. We recommend this Deep Learning online course particularly for the following professionals:

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Excel Tutoring 2023 by simplilearn is dedicated to help aspiring data analysts and business analysts to learn the critical fundamentals of micorsoft excel. Excel Full Course For Beginner 2023 by simplilearn is focused on MS Excel

00:00:00 Introduction to Microsoft Excel
00:11:31 Excel Worksheet Tutorial
00:13:04 How To Add Rows In Excel?
00:14:48 How to Group Rows in Excel?
00:22:06 How to Compare Two Columns In Excel?
00:25:14 How To Add Columns In Excel?
00:27:00 How To Add Two Columns In Excel?
00:28:37 How To Convert Rows To Columns In Excel?
00:29:54 How To Change Lower Case To Upper Case In Excel?
00:53:31 Excel Sorting And Filtering
00:56:33 How to Increase Cell Size in Excel?
00:58:11 How to Add Date in Excel?
01:00:57 How To Select Entire Column In Excel?
01:05:09 Checkboxes In Excel
01:07:56 How to Convert Number to Words in Excel?
01:09:50 How To Calculate Age In Excel From A Date Of Birth?
01:12:45 How to Insert Tick Mark in Excel?
01:16:45 DateDif In Excel Explained
01:20:50 How To Change Date Format In Excel (dd/mm/yyyy) To (mm/dd/yyyy)
01:24:07 How to create Barcode In Excel
01:28:04 How To Highlight Duplicates In Excel?
01:32:01 Remove Duplicates In Excel
01:33:50 How to Calculate Percentage In Excel
01:36:56 How to Use AutoSum In Excel
01:40:23 How To Insert PDF in Excel Sheet ?
01:46:07 How to Count Colored Cells in Excel?
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03:40:48 How To Insert Image In Excel?
03:53:27 How to Add Hyperlink In Excel
03:55:21 How To Calculate Time Difference in Excel?
03:58:10 How To Freeze Row In Excel Tutorial
04:02:30 How To Create Pivot Tables In Excel?
04:06:04 How to Create a Pivot Table Using Multiple Sheets in Excel
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04:48:47 Index Match In Excel
04:52:33 How To Remove Blank Rows In Excel?
05:01:28 Excel Vlookup Tutorial
05:04:00 What is Hlookup In Excel?

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➡️ 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.

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👉This SQL course video is an SQL tutorial for beginners where you will learn SQL end to end. This SQL tutorial is all you need to get started with this technology.
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01:13 - What is Data?
02:22 - What is Database?
04:15 - Why need a Database?
08:20 - Database Management System(DBMS)
10:19 - Introduction to SQL
11:40 - Relational Databases
14:17 - Sample SQL Query
16:20 - SQL vs NoSQL
18:00 - Applications of SQL
21:00 - Basics of SQL
21:28 - SQL Tables: Fields
21:58 - SQL Tables: Records
23:18 - SQL Tables: Datatypes
25:50 - CRUD Operations
26:42 - What can SQL do?
28:10 - CRUD Operation Demo
38:00 - Installation of SQL Server
45:32 - Data Types in SQL
46:10 - Different Data Types in SQL
51:30 - Create Table Syntax
54:16 - Insert Query Syntax
57:55 - Select Statement Syntax
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01:33:13 - Having Clause in SQL
01:36:04 - Update Statement in SQL
01:39:24 - Delete Statement in SQL
01:41:18 - Truncate Statement in SQL
01:42:22 - Joins in SQL
02:02:43 - Union Operator in SQL
02:05:27 - Except Operator in SQL
02:07:10 - Intersect Operator
02:09:05 - Views in SQL
02:11:45 - Alter Table in SQL
02:14:32 - Merge Statement in SQL
02:20:10 - User Defined Functions in SQL
02:26:40 - Temporary Table in SQL
02:29:30 - Case Statement in SQL
02:34:23 - IIF Function in SQL
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02:43:16 - Exceptional Handling
02:43:25 - Try/Catch Blocks in SQL
02:47:45 - Transactions in SQL
02:52:38 - Database Administrator
02:52:50 - Roles of Database Administrator
02:54:22 - Types of DBA
02:56:12 - Intro to MS SQL Servers
03:02:24 - SQL Server Sysytem Databases
03:04:08 - Quiz
03:04:40 - Backup & Restore of Database
03:05:18 - Restoring "AdventureWoks" Database through GUI
03:07:25 - Recovery Models
03:18:54 - Quiz
03:19:17 - Dynamic Management Views
03:20:04 - Catagories of DMV's
03:24:30 - Activity Monitor
03:25:00 - Starting Activity Monitor
03:27:25 - System Monitor/Performance Monitor
03:30:20 - Working with SQL Server Profiler
03:32:02 - Quiz
03:32:36 - Data Integrity
03:32:52 - Categories of Data Integrity in SQL
03:33:45 - Index in SQL
03:34:15 - Types of Indexes in SQL
03:37:07 - Fragmentation in SQL
03:39:15 - Rebuilding in SSMS
03:40:43 - Quiz
03:40:56 - SQL Job Trend
03:41:20 - SQL Interview Questions

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Why should you opt for a SQL career?

SQL optimization has always been a popular topic in database management. SQL Database optimization can be an extremely difficult task, in particular for large-scale data wherever a minute variation can result or impact drastically on the performance. So learning this skill will definitely help you grab the best jobs in top MNCs after finishing Intellipaat SQL online training. The entire Intellipaat SQL course is in line with the industry needs.There is a huge demand for SQL certified professional. The salaries for SQL professional are very good. Hence this Intellipaat SQL database tutorial for beginners is your stepping stone to a successful career!
------------------------------

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In this Machine Learning with R full course video, you will understand the basics of machine learning and look at the various applications of Machine Learning. You will learn R programming in detail and understand some vital machine learning algorithms, such as linear regression, logistic regression, decision trees, random forests, SVM, and hierarchical clustering techniques.

00:00:00 Machine Learning basics
00:14:25 R Programming
00:32:03 Machine Learning algorithms
05:51:25 Linear regression
06:20:16 Logistic regression
06:38:14 Decision Tree and Random forest
07:47:52 SVM - Support Vector Machine
08:06:56 Clustering
08:48:55Time Series Analysis

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What Exactly is Machine Learning?
A good start at a Machine Learning definition is that it is a core sub-area of Artificial Intelligence (AI). ML applications learn from experience (well data) like humans without direct programming. These applications learn, grow, change, and develop when exposed to new data.

What is Supervised Learning?
In supervised learning, we use known or labeled data for the training data. Since the data is known, the learning is supervised, i.e., directed into successful execution. The input data goes through the Machine Learning algorithm and is used to train the model.

What is Unsupervised Learning?
In unsupervised learning, the training data is unknown and unlabeled - meaning that no one has looked at the data before. Without known data, the input cannot be guided to the algorithm, which is where the unsupervised term originates. This data is fed to the Machine Learning algorithm and is used to train the model. The trained model searches for a pattern and gives the desired response. In this case, it is often like the algorithm is trying to break code like the Enigma machine but without the human mind directly involved but rather a machine.

➡️ 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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Boris Cherny is the creator and head of Claude Code at Anthropic. What began as a simple terminal-based prototype just a year ago has transformed the role of software engineering and is increasingly transforming all professional work.

*We discuss:*
1. How Claude Code grew from a quick hack to 4% of public GitHub commits, with daily active users doubling last month
2. The counterintuitive product principles that drove Claude Code’s success
3. Why Boris believes coding is “solved”
4. The latent demand that shaped Claude Code and Cowork
5. Practical tips for getting the most out of Claude Code and Cowork
6. How underfunding teams and giving them unlimited tokens leads to better AI products
7. Why Boris briefly left Anthropic for Cursor, then returned after just two weeks
8. Three principles Boris shares with every new team member

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*Episode transcript:* https://www.lennysnewsletter.c....om/p/head-of-claude-

*Archive of all Lenny's Podcast transcripts:*
https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0

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• Website: https://borischerny.com

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• Newsletter: https://www.lennysnewsletter.com
• X: https://twitter.com/lennysan
• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/

*In this episode, we cover:*
(00:00) Introduction to Boris and Claude Code
(03:45) Why Boris briefly left Anthropic for Cursor (and what brought him back)
(05:35) One year of Claude Code
(08:41) The origin story of Claude Code
(13:29) How fast AI is transforming software development
(15:01) The importance of experimentation in AI innovation
(16:17) Boris’s current coding workflow (100% AI-written)
(17:32) The next frontier
(22:24) The downside of rapid innovation
(24:02) Principles for the Claude Code team
(26:48) Why you should give engineers unlimited tokens
(27:55) Will coding skills still matter in the future?
(32:15) The printing press analogy for AI’s impact
(36:01) Which roles will AI transform next?
(40:41) Tips for succeeding in the AI era
(44:37) Poll: Which roles are enjoying their jobs more with AI
(46:32) The principle of latent demand in product development
(51:53) How Cowork was built in just 10 days
(54:04) The three layers of AI safety at Anthropic
(59:35) Anxiety when AI agents aren’t working
(01:02:25) Boris’s Ukrainian roots
(01:03:21) Advice for building AI products
(01:08:38) Pro tips for using Claude Code effectively
(01:11:16) Thoughts on Codex
(01:12:13) Boris’s post-AGI plans
(01:14:02) Lightning round and final thoughts

*Referenced:*
• Cursor: https://cursor.com
• The rise of Cursor: The $300M ARR AI tool that engineers can’t stop using | Michael Truell (co-founder and CEO): https://www.lennysnewsletter.com/p/the-rise-of-cursor-michael-truell
• Anthropic: https://www.anthropic.com
• Anthropic’s CPO on what comes next | Mike Krieger (co-founder of Instagram): https://www.lennysnewsletter.com/p/anthropics-cpo-heres-what-comes-next
• Claude Code Is the Inflection Point: https://newsletter.semianalysi....s.com/p/claude-code-
• Spotify says its best developers haven’t written a line of code since December, thanks to AI: https://techcrunch.com/2026/02..../12/spotify-says-its
• Anthropic co-founder on quitting OpenAI, AGI predictions, $100M talent wars, 20% unemployment, and the nightmare scenarios keeping him up at night | Ben Mann: https://www.lennysnewsletter.com/p/anthropic-co-founder-benjamin-mann
• Haiku: https://www.anthropic.com/claude/haiku
• Sonnet: https://www.anthropic.com/claude/sonnet
• Opus: https://www.anthropic.com/claude/opus
• Jenny Wen on X: https://x.com/jenny_wen
• Johannes Gutenberg: https://en.wikipedia.org/wiki/Johannes_Gutenberg
• Anthropic jobs: https://www.anthropic.com/careers/jobs
• Lenny’s AI poll post on X: https://x.com/lennysan/status/2020266745722991051
• Fiona Fung on LinkedIn: https://www.linkedin.com/in/fionafung
• Brandon Kurkela on LinkedIn: https://www.linkedin.com/in/bkurkela
• Cowork: https://www.anthropic.com/webinars/future-of-ai-at-work-introducing-cowork
• Chris Olah on X: https://x.com/ch402
• The Bitter Lesson: http://www.incompleteideas.net..../IncIdeas/BitterLess
...References continued at: https://www.lennysnewsletter.c....om/p/head-of-claude-

_Production and marketing by https://penname.co/._
_For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com._

Lenny may be an investor in the companies discussed.

Lecture 2: Science and Research
Instructor: John Gabrieli
View the complete course: http://ocw.mit.edu/9-00SCS11

License: Creative Commons BY-NC-SA
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More courses at http://ocw.mit.edu

MIT 6.622 Power Electronics, Spring 2023
Instructor: David Perreault

View the complete course (or resource): https://ocw.mit.edu/courses/6-....622-power-electronic
YouTube Playlist: https://www.youtube.com/playli....st?list=PLUl4u3cNGP6

The primary function of power electronic circuits is the processing and control of electrical energy. This class discusses the history, evolution, needs, and goals of power electronics.

License: Creative Commons BY-NC-SA
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More courses at https://ocw.mit.edu

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For more information about Stanford’s graduate programs, visit: https://online.stanford.edu/graduate-education

November 14, 2025
This lecture covers:
• Retrieval-augmented generation
• Advanced RAG techniques
• Function calling
• Agents
• ReAct framework

To follow along with the course schedule and syllabus, visit: https://cme295.stanford.edu/syllabus/

Chapters:
00:00:00 Introduction
00:06:38 RAG overview
00:27:39 Similarity search with SBERT and bi-encoders
00:34:25 Heuristic search with BM25
00:37:54 HyDE and contextual retrieval
00:41:00 Prompt caching
00:45:24 Re-ranking with cross-encoders
00:47:49 Retrieval evaluation with NDCG, MRR
00:59:28 Tool calling
01:26:22 Tool selection
01:29:17 Model Context Protocol (MCP)
01:31:56 Agents with ReAct
01:42:16 Safety and closing thoughts

Afshine Amidi is an Adjunct Lecturer at Stanford University.

Shervine Amidi is an Adjunct Lecturer at Stanford University.

View the course playlist: https://www.youtube.com/playli....st?list=PLoROMvodv4r