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Learn Full Excel Course from Basic to Advanced with AI | Excel AI Masterclass 2026 #SD108 If you want to become confident in Microsoft Excel and learn practical Excel skills used in real jobs, this masterclass is for you. In this complete course, you will learn Excel step by step from beginner level to advanced level with practical examples and AI-powered productivity techniques. This Excel Masterclass is specially designed for: ✔️ Students ✔️ Office Employees ✔️ MIS Executives ✔️ Data Analysts ✔️ Freelancers ✔️ Business Owners ✔️ Job Seekers Important Links 👉All Practice Files : https://edu.skillcourse.in/free-video/8 🔴Freelancing Mastery Program : https://edu.skillcourse.in 👉Excel Beginners to Advance Masterclass Exam & Certificate Link (Instructions Given in the Video) : https://edu.skillcourse.in/dashboard/tests/30 🚀Excel AI Automation Masterclass Video : https://youtu.be/Zykv4eaVzcQ?si=m_hai456XzR5GVbU Lesson 1-Excel Introduction - 05:58 Lesson 2-Data Entry in Excel - 43:41 Lesson 3-Essential Formulas - 01:13:10 Lesson 4-IF Formulas in Excel - 01:30:35 Lesson 5-Nested IF and IFS Formula - 01:51:25 Lesson 6-Conditional Formatting - 02:13:29 Lesson 7-Sort Data in Excel - 02:38:40 Lesson 8-Filter Data in Excel - 02:52:42 Lesson 9-Sort and Filter Formula in Excel - 03:14:26 Lesson 10-Data Validation - 03:36:12 Lesson 11-Remove Duplicate,Text to Columns, Flash Fill - 03:49:44 Lesson 12-Paste special & GoTo Special - 04:03:57 Lesson 13-31 Excel Formulas - 04:41:38 Lesson 14-Pivot Table Masterclass - 06:20:46 Lesson 15-PowerPivot Table - 09:46:44 Lesson 16-Office 365 and Latest formulas - 11:46:38 Lesson 17-AI Use in excel - 12:58:26 Lesson 18-Claude AI Extension in Excel - 14:07:39 Lesson 19-Freelancing - 14:40:01 🎯 This course will help you: ✔️ Improve productivity ✔️ Work faster in Excel ✔️ Build professional reports ✔️ Handle large datasets ✔️ Learn automation techniques ✔️ Prepare for office jobs and interviews ✔️ Improve Data Analysis skills Whether you are learning Excel for jobs, freelancing, office work, reporting, dashboards, or data analysis, this complete Excel course will help you master Excel professionally. 🔔 Subscribe for more Excel, Power BI, SQL, Python & AI tutorials Trainer: Satish Dhawale #Excel #ExcelCourse #AdvancedExcel #MicrosoftExcel #ExcelTutorial #ExcelMasterclass #AIinExcel #DataAnalysis #PivotTable #ExcelFormulas Get Free Notification for Upcoming Videos = https://forms.gle/5Jz1WJSki3nJrb6v7 ------------------------------------------------------------------------------------------------------------------------------ Learn Satish Sir courses with Certificate Course Website :https://skillcourse.in/ ------------------------------------------------------------------------------------------------------------------------------ Follow us on LinkedIn : https://www.linkedin.com/in/satish-dhawale/ ------------------------------------------------------------------------------------------------------------------------------ Check our latest blogs: https://learnmoreindia.in/ ------------------------------------------------------------------------------------------------------------------------------ Social media Pages: Skill Course LinkedIn : linkedin.com/company/skill-course/ Facebook Page Link: https://www.facebook.com/learnmoreeasily/ Instagram Page Link: https://www.instagram.com/_learn_more_pro_/ Telegram channel: https://telegram.me/learnmoreindia Follow us on X : https://x.com/Satish_Dhawale_ ------------------------------------------------------------------------------------------------------------------------------ My Other Channels: Satish Dhawale: ✅ https://www.youtube.com/@Satish_Dhawale Real Tutorial: ✅ https://www.youtube.com/@realtutorial550 Complete Technology:✅ https://www.youtube.com/@CompleteTechnology Learn more shorts:✅ https://www.youtube.com/@LearnMoreShorts Satish Tech (Marathi):✅ https://www.youtube.com/@Satish_Tech Tally Tutorial:✅ https://www.youtube.com/@TallyTutorial I Love Excel by Skill Course:✅ https://www.youtube.com/@Excel_Tutorial Learn More:✅ https://www.youtube.com/@Learn_More_Pro Curiosity: ✅ https://www.youtube.com/@curiosity9432 ------------------------------------------------------------------------------------------------------------------------------ My YouTube Gears : Best Mic for Recording (Condensor Mic): https://amzn.to/2UUMDnH Best Mic for Recording (Dynamic Mic ): https://amzn.to/3pQgyvD My DSLR Camera Canon 200D: https://amzn.to/39ciw3E My Laptop (Video Editing): https://amzn.to/2UXQj8h Laptop (Office Use/ Home use / Budget Laptop) : https://amzn.to/3l0pniw Antivirus: https://amzn.to/3l3TIgi Screen Recording Software: https://bit.ly/2J39n2j Video Editing Software: https://bit.ly/3nOPlri Green screen with Stand: https://amzn.to/2KAl1Cu

End To End Data Analytics Project for Portfolio using SQL, Python, Power BI, Project Report, GitHub | Company-Level Data Analyst Project 📊 Build a Real-World Data Analyst Project for Resume with Python, SQL, and Power BI on a Retail Customer Behavior and Shopping Trends dataset. This isn’t just another beginner project, it’s a complete, company-level analytics workflow exactly like what data analysts do in real organizations. From loading and cleaning raw data in Python, to performing data cleaning, exploratory data analysis (EDA), analyzing and solving business problems using SQL, to building an interactive Power BI dashboard, you’ll learn how real data projects move from messy data to executive presentations. 🎯 Whether you’re applying for Data Analyst jobs or building your portfolio, this project has everything: ✅ Define a real business problem statement from a retail company use case ✅ Load, clean, and transform data using Python (pandas) ✅ Simulate business transactions and run advanced queries using SQL ✅ Visualize insights through a beautiful Power BI dashboard ✅ Create a project report for documentation (mandatory in real teams) ✅ Build a presentation deck using Gamma AI ✅ Publish everything on GitHub to make your portfolio stand out 📌 Timestamps: 00:00 – Introduction & Project Overview 02:25 – Business Problem Statement 03:46 – Dataset Overview in Excel 06:45 – Data Loading & Exploratory Data Analysis (Python) 25:15 – Business Analysis using SQL 49:00 – Dashboard Creation in Power BI 1:14:22 – Creating the Project Report 1:15:49 – Building the Presentation Deck 1:17:48 – Uploading Project to GitHub 1:21:2 – Posting Project on LinkedIn 1:22:34 – Final Thoughts 🧠 Why This Project? Because this is exactly how real companies work. You’ll follow a corporate-style process, from data to decisions, learning not just technical tools but also how to think like a data analyst inside a business environment. 🔥 If you’re looking for: • End-to-End Data Analytics Project for Portfolio • Real-World Python SQL Power BI Project • Data Analyst Portfolio Project Ideas • Data Analytics Projects with Business Problem Statements • Beginner to Advanced Data Analytics Project This video is for you. 📥 Project Files & Resources: 💾 GitHub Repo (with all code): https://github.com/amlanmohanty1/customer-trends-data-analysis-SQL-Python-PowerBI 📈 Dataset: https://github.com/amlanmohanty1/customer-trends-data-analysis-SQL-Python-PowerBI/blob/main/customer_shopping_behavior.csv 🚨 Also watch this: 🎥 Top Mistakes Data Analysts Make (And How to Avoid Them) → https://www.youtube.com/watch?v=obj8U-9GEdU&list=PLAx-M6Di0SisFJ1rv5M_FRHUlGA5rtUf_&index=4 or 📂 Watch the full Data Analyst Career Playlist → https://www.youtube.com/playlist?list=PLAx-M6Di0SisFJ1rv5M_FRHUlGA5rtUf_ 👤 About Me I’m Amlan Mohanty, a Data Science professional and content creator. I help students and job seekers learn data analytics, grow in their careers, and land high-paying roles in Data Science & Data Analytics. 📩 Connect with Me: Instagram: https://www.instagram.com/datacareerschool/ LinkedIn: https://www.linkedin.com/in/amlanmohanty1/ 👇Drop a comment and tell me — what other projects do you want to see? Or if you’re stuck, I’ll help you out. 🔔 Subscribe to Amlan Mohanty for more projects, SQL tutorials, job strategies, interview prep, and more: https://www.youtube.com/@UCtXZNI2L3VEwNoKKgFu82Kg #dataanalyst #dataanalytics

🚀 Get Placement Ready & learn from the best 👇 No.1 Online Tech Placement Batches : https://linktr.ee/apnacollege.in Python Notes : https://dsa.apnacollege.in/studymaterial/python-crash-course 0:00 Intro 1:04 Setup & Installation 9:56 Printing & Variables 18:33 Data Types 21:34 Input & Comments 27:00 Type Conversion 39:30 String Operations 59:00 Logical Operators 59:37 Conditional Statements (If-Else) 1:07:27 Mini Project: Calculator 1:12:40 Loops (Range, For, While) 1:27:03 Loop Control (Break/Continue) 1:29:16 Data Types (List, Tuple, Set, Dictionary) 1:49:32 Functions 1:57:38 Mini Project: Guess the Number Shradha Ma'am community - share your progress Instagram : https://www.instagram.com/shradhakhapra LinkedIn : https://www.linkedin.com/in/shradha-khapra/

github: https://github.com/krishnaik06/RAG-Tutorials Retrieval-Augmented Generation (RAG) is the process of optimizing the output of a large language model, so it references an authoritative knowledge base outside of its training data sources before generating a response. Large Language Models (LLMs) are trained on vast volumes of data and use billions of parameters to generate original output for tasks like answering questions, translating languages, and completing sentences. RAG extends the already powerful capabilities of LLMs to specific domains or an organization's internal knowledge base, all without the need to retrain the model. It is a cost-effective approach to improving LLM output so it remains relevant, accurate, and useful in various contexts.

Learn how to build a complete full-stack web application using FastAPI, a modern, fast, web framework for building APIs with Python 3.7+. This comprehensive tutorial covers everything you need to know, from setting up your development environment in VS Code to deploying a full-stack web app. What you will learn: Setting up your FastAPI project in VS Code Building a server and creating GET, POST, PUT, and DELETE API endpoints Using Pydantic for data validation and fetching all products Integrating a database with SQLAlchemy Creating, updating, and deleting data in the database Deploying and running a full-stack web application This video is perfect for beginners and intermediate developers looking to master FastAPI and build robust, high-performance web applications. 00:00:00 - Intro to FastAPI 00:06:48 - FastApi Setup in VS Code 00:19:46 - Building the Server and Get API 00:34:14 - Pydantic and Fetching all products 00:46:21 - Fetch by ID and post request 00:54:56 - Update and Delete data in FastAPI 01:04:33 - SQLAlchemy 01:12:48 - Database Config 01:21:46 - SQL Alchemy Model Creation 01:28:38 - Initialize Data 01:35:14 - Dependency Injection and fetch from db 01:42:38 - Create, Update and delete with Database 01:52:59 - Running Full Stack Web App Project Code : https://github.com/navinreddy20/fastapi-demo (explore different branches) Check out our courses: Agentic AI Engineering with Python : https://go.telusko.com/agentic-ai-python Coupon: TELUSKO10 (10% Discount) Master Java Spring Development : https://go.telusko.com/learn-master Coupon: TELUSKO10 (10% Discount) For More Queries WhatsApp or Call on : +919008963671 website : https://telusko.com/ Udemy Courses: Java Spring:- https://go.telusko.com/Udemyjavaspring Java:- https://go.telusko.com/udemyteluskojava Spring: https://go.telusko.com/udemyteluskospring Java For Programmers:- https://go.telusko.com/javaProgrammers Python : https://go.telusko.com/udemyteluskopython Git : https://go.telusko.com/udemyteluskogit Docker : https://go.telusko.com/udemyteluskodocker Instagram : https://www.instagram.com/navinreddyofficial/ Linkedin : https://in.linkedin.com/in/navinreddy20 WhatsApp : https://go.telusko.com/whatsapp Discord : https://discord.gg/D8hWe9BqfF

This is A-Z video on SQL in Telugu This video has DDL, DML, DCL, DQL, queries, joins, aggregations, advanced sql, mock interview, hackerrank questions practice. You ask it, this video has it all regarding sql Odin School: https://www.0din.link/12I_xjqUz SQL Material - https://drive.google.com/drive/folders/1uOrbcxkKAjI9sJqSlHBO13kc5ZLgq7jI?usp=sharing ──────────────────────────────── Let's Connect 👉 Instagram: https://www.instagram.com/vamsi_bhavani/ 👉 LinkedIn: https://in.linkedin.com/in/sai-sankara-kesava-nath-panda-ab3b8a18b ──────────────────────────────── Playlists Worth Watching 👉 Python Language : https://www.youtube.com/playlist?list=PLNgoFk5SYUglQOaXSY8lAlPXmK6tQBHaw 👉 Java Language : https://www.youtube.com/playlist?list=PLNgoFk5SYUgmv-wv3aOupxr82c53KJDOB 👉 C++ Langauage : https://www.youtube.com/playlist?list=PLNgoFk5SYUglsFq6H2WkQODuzsQyyRrPl 👉 C Language : https://www.youtube.com/playlist?list=PLNgoFk5SYUgn5L4ocsA6FTvqKLSzp_8wF 👉 CS Fundamentals : https://www.youtube.com/playlist?list=PLNgoFk5SYUgnOq1h66WetqiOWj41iRmCp 👉 Placement Preparation : https://youtube.com/playlist?list=PLNgoFk5SYUgmt5n6QS-EGyyHesbgPciu0&feature=shared Relevant Tags sql full course, complete sql course, learn sql in telugu, sql tutorial for beginners, sql programming in telugu, sql concepts, sql training in telugu, sql for data analysis, vamsi bhavani tutorials, sql for beginners, sql database management, sql performance tuning, sql queries in telugu, sql project examples, sql best practices, sql interview preparation tips, sqll, sqel, sqll, vamsi, bhavani Jai hind!!!

Learn Python from scratch and start building real AI applications. This is the fastest, beginner-friendly course Python for AI development. 📕 Course Handbook: https://go.datalumina.com/cm5P6b6 📥 Course Resources: https://go.datalumina.com/M2YfRW3 👊🏻 Let's connect on IG: https://www.instagram.com/daveebbelaar/ 🎙️ Try Glaido, the #1 dictation tool for developers: https://get.glaido.com/dave ⏱️ Timestamps 00:00:00 Introduction: Learn Python for AI 00:01:42 Course Overview & Structure 00:03:58 Installing Python 00:04:05 Installing Python on Windows 00:05:10 Installing Python on Mac 00:06:53 Installing VS Code 00:08:34 Setting Up VS Code (Extensions) 00:12:08 Customizing VS Code 00:13:31 Creating Your First Project 00:16:18 Creating a VS Code Workspace 00:18:02 Your First Python File (hello.py) 00:20:10 Running Python Code 00:26:23 Exercise & Recap 00:29:26 Course Resources & Community 00:31:07 Understanding Python Environments 00:33:15 Understanding Python Packages & Pip 00:34:00 Creating Virtual Environments (venv) 00:37:34 A Note on Anaconda 00:38:32 Installing Python Packages (pip install) 00:42:51 Using Python Packages (Import) 00:44:29 Interactive Python with Jupyter 00:48:30 Full Setup Recap & Exercise 00:51:36 What is Programming? 00:55:19 Understanding Python Syntax & PEP8 00:58:00 Understanding & Debugging Errors 01:01:33 Variables 01:06:03 Comments 01:09:48 Data Types Introduction 01:10:12 Numbers (Integers & Floats) 01:13:36 Strings 01:19:39 String Formatting (F strings) 01:21:49 String Methods 01:26:35 Booleans 01:31:02 Operators (Arithmetic, Comparison, Logical) 01:39:19 Shortcut Assignments (+=) 01:40:24 Control Flow Introduction 01:41:35 Conditional Statements (if, elif, else) 01:47:11 Loops (For Loops & range()) 01:52:13 Data Structures Introduction 01:53:32 Lists 01:59:10 Dictionaries 02:00:23 Tuples 02:01:37 Sets 02:05:51 Functions (Defining & Calling) 02:15:02 Function Parameters & Arguments 02:22:42 Global vs Local Variable Scope 02:28:50 Returning Values from Functions 02:37:37 External Tools (Modules, Packages) 02:40:48 Importing Modules & Built ins 02:47:56 Import Methods Summary 02:48:48 Installing Packages & requirements.txt 02:56:04 Working with APIs (Requests Example) 03:06:20 Working with Data Example (Pandas & Matplotlib) 03:10:46 Reading & Saving Data Files 03:14:50 Practical Python Introduction 03:16:47 Project Structure & Organization 03:22:02 Understanding File Paths 03:26:37 Working with Different File Types 03:34:05 Organizing Code into Modules 03:39:39 Error Handling (Try/Except) 03:45:31 Introduction to Classes (OOP) 03:49:09 Creating Your First Class (__init__, self) 03:57:04 Class Attributes vs Instances 04:00:10 Class Methods 04:05:23 Class Inheritance 04:07:32 When to Use Classes vs Functions 04:09:44 Introduction to Git & GitHub 04:12:31 Git Fundamentals 04:15:41 Installing Git 04:16:46 Basic Git Workflow 04:18:41 GitHub Account Setup & Authentication 04:22:37 Cloning GitHub Repositories 04:28:12 Creating Repositories & .gitignore 04:36:12 Using Git with VS Code UI 04:44:05 Environment Variables & Secrets (.env) 04:52:13 Using python dotenv Package 04:55:03 Introduction to Ruff (Linter & Formatter) 04:56:13 Setting Up Ruff in VS Code 04:57:23 Ruff in Action 05:01:10 Introduction to Uv (Modern Package Manager) 05:02:07 Installing Uv 05:02:30 Using Uv (uv init, add, sync) 05:09:01 Complete Python Project Workflow Exercise 05:11:13 Course Wrap up & What's Next 👋🏻 About Me Hi! I'm Dave, AI Engineer and founder of Datalumina®. On this channel, I share practical tutorials that teach developers how to build production-ready AI systems that actually work in the real world. Beyond these tutorials, I also help people start successful freelancing careers. Check out the links above to learn more!

Merchandise: https://shop.codewithharry.com/ Download the Handbook: https://cwh-full-next-space.fra1.cdn.digitaloceanspaces.com/YouTube/MongoDB%20Handbook.pdf Download the Source Code: https://github.com/CodeWithHarry/MongoDB-Crash-Course-2026 Learn more here: https://fandf.co/47olY8T Welcome to the MongoDB Crash Course 2026: Your complete guide to mastering MongoDB from the ground up. In this video, you’ll learn everything from database fundamentals to advanced queries, operators, and aggregation pipelines. By the end, you’ll have the skills to build and scale modern applications using MongoDB. This video is sponsored by MongoDB, the world's leading modern database platform built to make working with data simple and intuitive. MongoDB is the database of choice for the AI Era, and it comes with powerful tools like MongoDB Atlas, MongoDB Compass, and other integrations Timestamps: 00:00 — Introduction 00:44 — Installation 02:10 — Mongod vs MongoDB vs MongoDB Compass 05:32 — CRUD Operations 09:30 — Creating Data in MongoDB 17:22 — Using MongoDB Shell 19:50 — Inserting Data in MongoDB 22:12 — Insert vs InsertMany 24:04 — Writing MongoDB Code in JS Files 24:16 — Installing VS Code 25:44 — Installing MongoDB Extension 27:55 — MongoDB Handbook 31:06 — CRUD: Reading Data 33:15 — Comparison Operators 35:27 — Projection in MongoDB 38:35 — CRUD: Updating Documents 41:50 — $push and $set 43:08 — CRUD: Delete 44:42 — Remote Database and MongoDB Atlas 49:45 — MongoDB Atlas Setup 55:14 — Aggregation Pipeline 1:06:11 — Indexes 1:08:48 — Conclusion ➡️ Download Notes and CheatSheets: https://www.codewithharry.com/notes/ ➡️ Udemy Python Course: https://goharry.in/python ➡️ Checkout Data Science The Ultimate Job Ready Data Science Course: https://www.codewithharry.com/courses/the-ultimate-job-ready-data-science-course ➡️ Data Science (International Students): https://buy.stripe.com/9B65kF3790jS2kCeiZ1gs04 ➡️ Career Advice: If you are into college and C/C++/Java is being taught, please continue with it. Here are my respective videos/playlists: Learn C Programming: https://www.youtube.com/watch?v=aZb0iu4uGwA Learn C++ Programming: https://www.youtube.com/playlist?list=PLu0W_9lII9agpFUAlPFe_VNSlXW5uE0YL Learn Java Programming: https://www.youtube.com/playlist?list=PLu0W_9lII9agS67Uits0UnJyrYiXhDS6q

This 5-hour comprehensive course covers everything from foundational concepts to advanced distributed systems. Whether you are a beginner or preparing for high-stakes tech interviews, this session provides the architectural mindset needed to build scalable applications that handle millions of users. Course Modules: Foundations: System Design mindset, Functional vs. Non-Functional Requirements, and Scalability (Vertical vs. Horizontal). Networking & APIs: Deep dive into DNS, REST APIs, GraphQL, gRPC, and WebSockets. Data & Storage: SQL vs. NoSQL, Replication, Partitioning (Sharding), and Caching strategies. Distributed Systems: CAP Theorem, Fault Tolerance, and Observability. Advanced Topics: Message Queues, Load Balancing algorithms, and real-world Monitoring. Final Case Study: A full system design walkthrough of a video streaming application. Designed for: ✅ Developers leveling up their backend architecture skills. ✅ Engineers preparing for interviews at FAANG and top product companies. ✅ Students curious about how large-scale platforms like YouTube and Netflix work internally. 🔗 Full System Design Notes: https://docs.telusko.com/docs/system-design/getting-started Check out our courses: Agentic AI Engineering with Python : https://go.telusko.com/agentic-ai-python Coupon: TELUSKO10 (10% Discount) Master Java Spring Development : https://go.telusko.com/learn-master Coupon: TELUSKO10 (10% Discount) For More Queries WhatsApp or Call on : +919008963671 website : https://telusko.com/ Udemy Courses: Java Spring:- https://go.telusko.com/Udemyjavaspring Java:- https://go.telusko.com/udemyteluskojava Spring: https://go.telusko.com/udemyteluskospring Java For Programmers:- https://go.telusko.com/javaProgrammers Python : https://go.telusko.com/udemyteluskopython Git : https://go.telusko.com/udemyteluskogit Docker : https://go.telusko.com/udemyteluskodocker Instagram : https://www.instagram.com/navinreddyofficial/ Linkedin : https://in.linkedin.com/in/navinreddy20 WhatsApp : https://go.telusko.com/whatsapp Discord : https://discord.gg/D8hWe9BqfF 00:00:00 Introduction 00:01:32 Index 00:03:24 Hello System Design 00:05:33 Designing - Alien Bank 00:19:34 Components of System Design 00:35:22 Types of Applications 00:37:03 Data Intensive Application 00:43:03 Compute Intensive Application 00:48:18 Types of Requirement 00:48:31 Functional Requirement 00:50:13 Non-Functional Requirement 00:56:17 Domain Name Service (DNS) 01:00:45 DNS System Architecture 01:08:25 Application Programming Interface (API) 01:13:25 Types of APIs 01:21:04 RESTful Request 01:37:28 RESTful Response 01:47:25 Database 01:49:47 Relational Database - SQL 01:52:23 DB Constraints 02:00:20 DB Joins 02:08:34 Non-Relational Database - NoSQL 02:17:35 Types of NoSQL Databases 02:27:31 Cache 02:38:07 Cache Strategies 02:47:10 Cache Eviction Policies 02:53:14 Load Balancer 02:57:13 Load Balancing Algorithms 03:15:18 Load Balancer Health Checks 03:20:25 Distributed Databases 03:23:25 Replication 03:24:39 Replication Algorithms 03:44:26 Partition 03:46:48 Partition Strategies 03:57:20 CAP Theorem 04:03:40 Message Queue 04:17:29 Pub-Sub Model 04:27:32 Fault/Error 04:34:39 Monitoring and Observability 04:36:59 API Handling Monitoring 04:41:38 Machine Monitoring 04:42:50 System Design of Streaming Application 05:05:25 Thank You

Download Handbook: https://drive.google.com/file/d/1ALDNmPdG36b1Abu8Ki9GoOFpSf3Ow_jP/view?usp=sharing Download Cheatsheet: https://drive.google.com/file/d/1S7dAnOJYzgJce6C8Ka3UGKhUdblWz3hy/view?usp=sharing Handbook Mirror 1: https://drive.google.com/file/d/138dWmjKUqIk9YAahR64CmpRk8xES8io5/view Handbook Mirror 2: https://drive.google.com/file/d/1BiL1WY9B7_p0uinuNmvioyzXw1mwqSRN/view Handbook Mirror 3: https://drive.google.com/file/d/12KpsHV4RalrqCG6zne65FnfCX1zFxLDd/view Cheatsheet Mirror 1: https://drive.google.com/file/d/1wPdPTH6naDJo48DyCJWvbCT-uFDqJzMD/view?usp=sharing Cheatsheet Mirror 2: https://drive.google.com/file/d/1dUu_eDZBdZod-nrozKXquBlNhb3QM52o/view?usp=sharing Cheatsheet Mirror 3: https://drive.google.com/file/d/1yUpyRtQI2dlB0B-tQEaDtkEkk7GRx5zU/view?usp=sharing TimeStamps: 00:00:00 Skit 00:05:35 Introduction 00:06:48 What Is Git? 00:07:23 Linus Torvalds got angry! 00:09:19 Centralised vs Distributed Version Control Systems 00:11:05 Git vs GitHub 00:13:42 Installing Git 00:19:47 How Git Works? 00:23:17 Hands-on Git 00:35:43 Git Scenario 1: Single User Setup 00:46:26 Ignoring Files 00:53:14 Tracking Empty Directories 00:55:58 Branching 01:13:37 Merge Conflicts 01:18:53 Stashing in Git 01:26:04 Git Tags 01:29:08 Git Rebase 01:38:38 Using GitHub to Host Our Repositories 01:52:17 GitHub Desktop: GUI for Git and GitHub 02:07:50 Using Git in VS Code 02:15:35 Git Scenario 2: Multi-User Setup 02:27:33 Modern Git Workflow 02:29:23 Conclusion ➡️ Download Notes and CheatSheets: https://www.codewithharry.com/notes/ ➡️ Udemy Python Course: https://goharry.in/python ➡️ Data Science Course: https://www.codewithharry.com/courses/the-ultimate-job-ready-data-science-course ➡️ Data Analytics Course: https://www.codewithharry.com/courses/the-ultimate-job-ready-ai-powered-data-analytics-course Concept & Script: Harry Special Thanks & Credits: Directed by: Izhan Ahmad Cameraman: Ritik Kashyap Sound Design: Izhan Ahmad Editing: Izhan Ahmad and Rohan Das Cinematography: Picture Point Studio & Team If you want to learn web development, you can start with my Sigma Web Development Course. It is a complete course that covers everything you need to know to become a web developer. Its Free and you can access it here: Web Development Course: https://www.youtube.com/playlist?list=PLu0W_9lII9agq5TrH9XLIKQvv0iaF2X3w About the opening skit: It's a dream sequence imagined by Danish Dazzler (playing Kaliya), inspired by the iconic "Kitne Aadmi The" scene from Sholay. In the dream, Harry is furious because Danish and two other developers lost the hackathon, returns to their mentor, and the scene plays out as a parody of the original, ending with Harry "shooting" them just like in the film. Right after that, Dazzler wakes up to a CodeWithHarry's new video notification, revealing that none of it actually happened and it was a dream. The scene is meant purely as a tribute and comedy parody before we dive into the Git tutorial. Hope you enjoy both the laughs and the learning! ➡️ Follow Me On Social Media ► Website (Created Using Next.js): https://www.codewithharry.com ► Facebook: https://www.facebook.com/CodeWithHarry ► Instagram: https://www.instagram.com/CodeWithHarry/ ► Twitter: https://twitter.com/CodeWithHarry ► English channel: https://www.youtube.com/channel/UC7btqG2Ww0_2LwuQxpvo2HQ Comment "#HarryBhai" if you read this 😉😉

Ready to build complete production systems? Grab your DevOps Roadmap PDF to see the full tech stack that powers scalable applications → https://bit.ly/4nnNecZ This is the ONLY Kafka Tutorial You Need - It covers a hands-on project with Python and Docker. ▬▬▬▬▬▬ Thanks JetBrains for making this video possible! 🙌 ▬▬▬▬▬▬ ► To follow along, download PyCharm here: https://www.jetbrains.com/pycharm/download ► You get 1 month free of PyCharm PRO In this video we dive into Apache Kafka. First by understanding conceptually what Kafka is, and WHY Kafka was developed, to solve what problems exactly and then get hands-on with a simple but realistic demo project, where we will build a python application that uses Kafka for a simple use case. It will be a step by step guide, to make sure you can follow smoothly and understand every step clearly. ▬▬▬▬▬▬ R E S O U R C E S 🔗 ▬▬▬▬▬▬ ► Git Repo: https://gitlab.com/twn-youtube/kafka-crash-course ► Official Docs: https://docs.confluent.io/kafka/introduction.html ▬▬▬▬▬▬ PRE-REQUISITES 🔗 ▬▬▬▬▬▬ ► Python Full Course for Beginners https://youtu.be/t8pPdKYpowI ► Docker in 1 Hour: https://youtu.be/pg19Z8LL06w ► Docker Compose Tutorial: https://youtu.be/SXwC9fSwct8 ► Kafka explained: https://youtu.be/QkdkLdMBuL0 ▬▬▬▬▬▬ T I M E S T A M P S ⏰ ▬▬▬▬▬▬ 00:00 - Intro 00:40 - What is Kafka? Why Kafka? 05:32 - How Kafka achieves scalable performance 07:20 - Kafka vs Other Message Brokers 08:20 - Kafka Demo Overview 10:13 - Setup Python Project 13:03 - Run Kafka with Docker Compose 27:43 - Write and Run a Kafka Producer 44:12 - Using Kafka CLI 48:44 - Write and Run a Kafka Consumer 01:01:05 - Test the Whole Flow & Gracefully Shut Down ▬▬▬▬▬▬ Connect with me 👋 ▬▬▬▬▬▬ INSTAGRAM ► https://bit.ly/2F3LXYJ TWITTER ► https://bit.ly/3i54PUB LINKEDIN ► https://bit.ly/3hWOLVT

This 17 chapter, 5 hour course is a complete introduction to the world of industrial controls and automation! We begin by talking about what is controls and automation, then cover the most common hardware used in the field, the tools required to service equipment, and the special PLC programming languages. From there we dive in to practical tutorials programming a PLC with the Arduino Opta platform, developing HMI screens and covering SCADA concepts with the Ignition software from Inductive automation, and discussing practical electrical wiring schematics and hands-on examples of wiring inputs and outputs! This course won't make you a total expert in the field but it will cover all the critical basics you need to know to get started! Don't forget to leave a like on the video and subscribe to LeMaster Tech! Thank you to my super supporters on Patreon!! https://www.patreon.com/LeMasterTech EQUIPMENT/SOFTWARE: Arduino Opta PLC: https://amzn.to/4qGXaAu Arduino PLC IDE Download: https://www.arduino.cc/pro/software-plc-ide Ignition for Makers Download: https://inductiveautomation.com/downloads/ Tools (from tools and hardware chapter): 1) Digital Multimeter: https://amzn.to/3XeYAEp Voltage pen: https://amzn.to/3Tfh4mX 2) Wire Strippers: https://amzn.to/3Th7gcg Box Cutter/Utility Knife: https://amzn.to/3Tk7G1G Ferrule Crimping Set: https://amzn.to/3MD50sk 3) Power Supplies: https://amzn.to/47gJCSS Bench test supply: https://amzn.to/3ziCJ71 Metal Box Supply: https://amzn.to/4cSf5w9 4) Electrical Terminal Screwdrivers: https://amzn.to/4ggEGBx Electric Drill + Screwdriver Kit: https://amzn.to/3X9Dszu Hardware (from Hardware episode): 120 AVC to 24 VDC Power Supply: https://amzn.to/3WYfU21 8 Port Switch: https://amzn.to/4aEu4Zx Terminal Block Set: https://amzn.to/44WcQFH 120 VAC Circuit Breaker: https://amzn.to/44XocJk DIN Rail: https://amzn.to/44WF8jp 24 VDC Relays: https://amzn.to/3WYWYA5 TIMESTAMPS 00:00:00 Intro 00:02:08 What is automation and controls engineering 00:17:59 Introduction to automation hardware 00:28:28 Main tools required for automation and controls 00:44:12 Introduction to the PLC programming languages 00:56:14 Introduction to the arduino Opta PLC 01:06:29 Programming in Structured Text 01:22:45 Programming in Ladder Diagram 01:39:00 Introduction to Electrical Wiring and Schematics 02:07:20 Getting Started with Ignition 02:22:21 Expression Tags in Ignition 02:34:10 Python Scripting in Ignition 02:56:22 Animating Objects in Ignition 03:17:52 Connecting the Arduino Opta to Ignition 03:44:47 Sequential Programming 04:23:43 SQL and Historian 04:55:48 IO Expansion Modules 05:06:35 Wiring Buttons and Switches

This course provides a solid foundation to start building your technical skills and understanding of modern IT concepts. Course resources: https://www.dolfined.com/courses/Itf-course ❤️ Support for this channel comes from our friends at Scrimba – the coding platform that's reinvented interactive learning: https://scrimba.com/freecodecamp Contents - 00:00 IT Basics & Certifications (A+, Net+, CCNA) - 05:04 IT Roles: DevOps, SRE, & Platform Engineering - 07:58 Hardware: CPU, RAM, SSD, & NICs - 17:13 Software: OS, GUI vs. CLI, & Application Types - 24:21 Windows vs. Linux & Open Source - 32:00 Servers: Virtualization, Hypervisors, & Type 1 vs. 2 - 50:31 AWS Account Setup & EC2 VM Launch - 1:07:37 Cloud: Data Centers, CapEx vs. OpEx, & Benefits - 1:27:03 Service Models (IaaS, PaaS, SaaS) & Cloud Deployment - 1:36:56 Choosing Providers: AWS, Azure, & GCP - 1:41:05 Networking: LAN, WAN, CAN, & Traffic Flows - 1:52:45 Devices: Hubs, Switches, VLANs, & Routers - 2:05:40 Cabling (UTP vs. Fiber) & Data Center Networks (DCN) - 2:17:01 Wireless (WLAN) & How the Internet Connects - 2:24:05 IP Addressing: IPv4 vs. IPv6 & Binary Math - 3:14:05 Network Portions, Subnet Masks, & CIDR Notation - 3:41:53 IP Classes & Subnetting (Pizza Analogy) - 4:10:18 Public vs. Private IPs, NAT, & IANA Hierarchy - 4:49:05 Routing: Route Tables, BGP, & Default Routes - 5:16:11 IP Packet Anatomy: Headers vs. Payload - 5:21:30 VPC: AWS Regions, AZs, & Virtual Data Centers - 5:37:16 Lab: Creating a Custom VPC & Internet Gateway - 6:11:22 Public vs. Private Subnets & NAT Configuration - 6:40:41 Models: OSI 7-Layer Reference & Encapsulation - 6:54:16 TCP vs. UDP & Common Port Allocations - 7:11:13 Protocols: ICMP (Ping), SSH, & HTTP/HTTPS - 7:44:00 Security: Firewalls, Zoning, & DMZ Architectures - 8:00:23 Security Groups (Stateful) vs. NACLs (Stateless) - 8:14:13 Services: DNS, Monitoring, Alerting, & Logging - 8:33:01 Databases: Relational, NoSQL, & SQL Queries - 8:47:11 Tools: Linux Skills, Bash Scripting, & Python - 9:07:42 Design: Professional Architecture Diagram Masterclass - 13:00:50 Course Summary & Next Steps

Euron - https://euron.one/ Course Link : https://euron.one/course/rag-masters For any queries or counseling, feel free to call or WhatsApp us at: +919110665931 / +919019065931 Step into the world of Retrieval-Augmented Generation (RAG) pipelines with this complete guide! This video breaks down RAG concepts into easy-to-follow steps while showing you how to build real, working pipelines. Whether you’re just starting your AI journey or looking to strengthen your expertise in retrieval-based systems, this video is packed with practical insights and hands-on coding. What you’ll discover in this tutorial: - RAG Fundamentals: Learn how RAG works, from architecture to workflow. - Tools in Action: Explore vector databases, embeddings, LangChain, and other essentials. - Hands-On Projects: Apply RAG to solve real-world use cases. - Prompt Engineering: Learn how to optimize responses and handle private datasets. - Deployment Made Simple: Deploy RAG apps using Streamlit, Render, or AWS Elastic Beanstalk. Why this video is worth your time: - Beginner-friendly yet detailed enough for intermediate learners. - Hands-on coding and project-based learning. - Clear, structured explanations to help you actually build and deploy a RAG system. CHAPTERS: 00:00 - Announcements 01:36 - What is Retrieval Augmented Generation (RAG) 05:09 - How RAG Works 10:47 - Understanding Retrieval Augmented Generation 14:20 - Problems Solved by RAG 21:13 - Overview of RAG Pipeline 22:58 - RAG Pipeline Explained 27:56 - Generating Embeddings 38:35 - Preparing Your Own Data for RAG 41:02 - Creating Text Files for Data 49:53 - Creating Embeddings from Data 1:11:40 - Querying from Vector Database 1:14:47 - Final Operation: How RA Works 1:31:56 - Deploying Code in Streamlit 1:32:51 - Setting Up Application Directory 1:33:14 - Creating app.py File 1:37:00 - Developing app.py 1:41:34 - Creating Environment for Streamlit 1:46:28 - Testing Streamlit Application 1:50:04 - Deploying Application on Streamlit 1:50:34 - Deploying Application on Render 1:50:40 - Deploying Application on AWS Elastic Beanstalk 2:00:24 - Streamlit Deployment Hands-On 2:29:54 - Introduction to Document Loading 2:32:41 - Text Loader Overview 2:35:21 - Loading CSV Files 2:36:00 - Loading PDF Files 2:46:29 - Chunking and Splitting Data 3:05:14 - Lecture 2 Overview 3:10:28 - Cosine Similarity and Normalization 3:19:59 - Practical Cosine Similarity 3:26:01 - Introduction to Vector Databases 3:31:52 - Understanding Vector Representation 3:37:19 - Cosine Similarity Explained 4:11:28 - Step 2: Creating Embeddings 4:18:25 - Step 3: Creating Embedding Arrays 4:40:29 - Inserting Data into ChromaDB 4:43:14 - Querying ChromaDB 4:46:38 - Updating Records in ChromaDB 4:49:24 - Adding Metadata Information 4:56:22 - Persisting Collections in ChromaDB 5:03:20 - Pinecone Insert Operations 5:31:16 - Connecting to BayesVector 6:13:20 - Lecture 2: End to End ALM Chain 6:18:44 - Project Setup Process 6:24:08 - System Setup for ALM Chain 6:25:36 - Accessing LM and Embeddings 7:10:07 - Multi-Agent System with Self-Routing 7:12:05 - Accessing LLM in ALM 7:19:55 - Creating a Tool for ALM 7:22:08 - Creating an Agent in ALM 7:23:41 - Creating a Routing Agent 7:34:01 - Introduction to (LCEL) 8:03:02 - Setting the Entry Point in ALM 8:10:33 - Multi-Agent System Overview 8:16:08 - Creating Context Files 8:18:37 - Researcher Node in ALM 8:24:45 - Synthesizer Node Overview 8:27:20 - Classifier Node in ALM 8:28:45 - Finalizer Node Overview 8:42:01 - Understanding Prompting Techniques 8:43:20 - Crafting Effective Prompts 8:53:20 - Few-Shot Prompting Techniques 9:00:48 - Output Format Instructions 9:04:27 - Chain of Thought (COT) Prompting 9:09:24 - Explicit Anchoring Techniques 9:50:37 - Project Setup Process 9:54:41 - Obtaining URI API Key 9:57:48 - Storing and Retrieving Vectors 10:43:58 - Deploying the Chatbot Application 10:45:58 - Testing the Deployed Chatbot Roadmap for you : AI /Data Science Pro Level Expert Roadmap - https://euron.one/roadmap/c9361831-c806-45e2-b65c-c3f4c6cd2fa4 NLP expert Roadmap - https://euron.one/roadmap/300bc526-ed55-42e3-9072-43aca6c3ba4f Data Analytics / Business Analytics Expert Roadmap - https://euron.one/roadmap/920278e8-e3c0-4763-a135-ebed66074853 Big Data / Data Engineering Expert Roadmap - https://euron.one/roadmap/98c8db49-2eab-44b7-8fba-7f2b2575ec83 Computer Vision Roadmap - https://euron.one/roadmap/d8281277-5cfd-4498-bbff-4135aa178897 Deep Learning Roadmap - https://euron.one/roadmap/1495a7ba-4297-4cc9-8d68-5460cafb90ca Generative AI Roadmap - https://euron.one/roadmap/2380f611-7475-4343-b7f7-22b765710604 Machine Learning Expert Roadmap - https://euron.one/roadmap/ff514391-328e-4863-b810-0a5c5db6a170 Android- https://play.google.com/store/apps/details?id=com.euron.one&hl=en IOS - https://apps.apple.com/in/app/euron-your-learning-app/id6741360597

This is a complete course on learning Generative ai and agentic with Langchain and Langgraph. We have included all the topics from RAG, vectorless rag, Deep agents, Guardrails, LLM Evaluation and LLM Gateways Techniques Github Links Langchain : https://github.com/krishnaik06/Langchain-V1-Crash-Course Langgraph: https://github.com/krishnaik06/Agentic-LanggraphCrash-course RAG: https://github.com/krishnaik06/RAG-Tutorials Vectorless RAG: https://github.com/krishnaik06/RAG-Tutorials/blob/main/PageIndex_Vectorless_RAG_CrashCourse%20(1).ipynb Deep Agents: https://drive.google.com/file/d/1SVjvgqvKfF-FPAIqpEZdKMQLhe13NLFD/view Guardrails : https://github.com/krishnaik06/Langchain-V1-Crash-Course/blob/main/updatedlangchain/langchain_guardrails_crash_course.ipynb LLM Evals : https://github.com/krishnaik06/RAG-Tutorials/blob/main/1-rag_evaluation.ipynb LLM Gateways: https://github.com/krishnaik06/Langchain-V1-Crash-Course/blob/main/llm_gateway_tutorial.ipynb Timestamp 00:00:00 Introduction 00:02:31 Langchain Course 02:35:12 Langraph Course 05:02:29 RAG Course 07:10:43 Vectorless RAG 08:02:11 Deep Agents 08:45:43 Guardrails 09:22:55 LLM Evaluation 10:30:25 LLM Gateways ------------------------------------------------------------------- Learn from us visit https://krishnaik.in/liveclasses