Artificial Intelligence Full Course (Free) | Master AI Tools & Core Concepts

Learn the basics of artificial intelligence. This course is for absolute beginners. This course was created by learnaianywhere.org and released to support the goals of National AI Literacy Day. You can learn more at https://learnaianywhere.org and download the resources used. For more on AI Literacy Day, check out ailiteracyday.org or their YouTube playlist: https://www.youtube.com/watch?v=vihMGH6aqTY&list=PLGhqQNp1xV3McvqOTfJmX2mAuuZqOKMEs ❤️ Try interactive AI courses we love, right in your browser: https://scrimba.com/freeCodeCamp-AI (Made possible by a grant from our friends at Scrimba) ⭐️ Contents ⭐️ - 00:00 Welcome To The Course - 01:46 Prerequisite - 02:51 Symbol Key - 03:19 Lesson 1: What is AI - Objectives - 03:35 Lesson 1: What is AI - What Is AI AI or Not: https://learnaianywhere.org/courses/ai-literacy-for-everyone/ai-or-not - 05:39 Lesson 1: What is AI - How AI Can Help Us Recap Quiz: https://learnaianywhere.org/courses/ai-literacy-for-everyone/recap-quiz-1 - 07:14 Lesson 1: What is AI - Project Time - 09:06 Lesson 2: The Key Parts of Machine Learning - Objectives - 09:27 Lesson 2: The Key Parts of Machine Learning - What is Machine Learning - 12:01 Lesson 2: The Key Parts of Machine Learning - Neuropocket Tutorial - 14:39 Lesson 2: The Key Parts of Machine Learning - AI Tools Can Make Mistake Recap Quiz: https://learnaianywhere.org/courses/ai-literacy-for-everyone/recap-quiz-2 - 16:27 Lesson 2: The Key Parts of Machine Learning - Project Time - 17:20 Lesson 3: How Do Machines Train - Objectives - 18:06 Lesson 3: How Do Machines Train - The Describer Drawer Game - 19:51 Lesson 3: How Do Machines Train - The Describer Drawer Game Demonstration - 23:07 Lesson 3: How Do Machines Train - What Is An Algorithm - 25:37 Lesson 3: How Do Machines Train - The Human Learning Algorithm - 30:25 Lesson 3: How Do Machines Train - The Machine Learning Algorithm Recap Quiz: https://learnaianywhere.org/courses/ai-literacy-for-everyone/recap-quiz-3 - 38:05 Lesson 3: How Do Machines Train - Project Time - 39:07 Lesson 4: Can Machines Be Responsible - Objectives - 39:34 Lesson 4: Can Machines Be Responsible - Bearly A Dog Challenge - 40:14 Lesson 4: Can Machines Be Responsible - What is Bias - 44:06 Lesson 4: Can Machines Be Responsible - Who is Responsible - 46:50 Lesson 4: Can Machines Be Responsible - Data Privacy - 50:46 Lesson 4: Can Machines Be Responsible - Responsible AI Recap Quiz: https://learnaianywhere.org/courses/ai-literacy-for-everyone/recap-quiz-4 - 51:20 Lesson 4: Can Machines Be Responsible - Project Time

🔥 In this complete course, you will learn Excel fundamentals, interface, formatting, formulas, functions, data handling, charts, conditional formatting, sorting, filtering, data validation, text functions, logical functions, lookup functions, date and time functions, financial functions, Pivot Tables, Pivot Charts, dashboards, what-if analysis, advanced data tools, printing setup, page layout, protection, automation basics, and many complex real-world Excel concepts in a step-by-step practical way. 👉Download practice stuff - "Kindly check PIN Comment" ✅Advance Excel LIVE Course (Basic to Advance) - https://web.accountsexpertapp.com/new-courses/1 ✅Checkout Our Website - https://web.accountsexpertapp.com/ ✅Install our App from Playstore - https://play.google.com/store/apps/details?id=co.tarly.wugze ━━━━━━━━━━━━━━━━━━━━━━━ 🌟 🔥 SALE IS LIVE! 🔥 🌟 🎯 Flat 10% OFF on ALL Courses 🎟 Use Coupon Code: WELCOME10 at checkout ⏳ HURRY! Limited Time Offer! ━━━━━━━━━━━━━━━━━━━━━━━ 🚀 How to Enroll? (Super Easy!) 🚀 📲 Via App: Download Accounts Expert from Play Store 📥 💻 Via Website: www.accountsexpertapp.com 🌍 📞 Call/WhatsApp: +91 8804949888 (Get Instant Support!) ☎📩 ━━━━━━━━━━━━━━━━━━━━━━━ 💡 What Do We Offer? 💡 🔹 📊 Advance Excel Live Course – Master formulas, automation & data visualization like a PRO! 🖥📈 🔹 🏢 SAP Live Course – Learn Enterprise Resource Planning (ERP) & boost your corporate career! 🏆💼 🔹 📚 Tally Live Course – Become an expert in GST, accounting & business management! 📖📊 🎯 And Many More! Upgrade your skills & level up your career today! 🚀 ━━━━━━━━━━━━━━━━━━━━━━━ ✅TimeStamp : - 00:00:00- Introduction 00:03:24- Video Overview 00:11:25- What is Data & Its theory 00:19:51- Excel Version 00:24:50- Interface Overview 00:50:31- Movement Shortcut keys 01:04:26- Data Entry 01:25:40- formatting 02:13:23- number format 02:33:12- basic formulae 03:03:56- conditional formatting 03:23:37- A.I Conditional Formatting 03:29:20- Data Creation with A.I 03:31:22- Clipboard 03:36:57- filter 03:45:43- sorting 03:53:30- table creation 04:17:21- Fill Series 04:47:16- Go to special 05:15:03- Paste special 05:35:46- Find & Replace 05:48:29- Clear 05:53:47- Promtion Video 05:54:45- Cell Referencing 06:32:28- text formulas 07:29:24- Rand , Rand between , Rand Array 07:41:09- Large , Small 07:46:45- Round , Roundup , Round down,Int, Trunc 07:59:16- Floor , M round , Ceiling , Mod ,Abs , Power , Sqrt 08:03:42- Current Date & Time 08:11:06- Day , Month , Year , Date , Time , Hour , Minute , Second 08:20:39- Days, Days360, Netwrokdays, Networkdays.intl 08:32:28- Workday, Workday.intl 08:40:10- Edate, ,Eomonth 08:48:47- Datedif , Yearfrac 08:52:47- Weeknum , 08:56:55- IF - Logical formulae 09:22:33- And , Or , ,Nested If and , Nested If Or 09:35:20- IFS 09:41:41- Switch , Iferror , Ifna , Isblank , Isnumber , etc 09:51:58- Sumif ,Average if , Countif 10:14:06- Attendance Tracker Prep (Normal + 365) 10:23:55- Report Creation - Yearly , Monthly though Sumifs , Averageifs , Countifs 10:42:03- lookup & refrence formulas Theory 10:58:02- Theory of Vlookup 11:18:59- Various kind of Vlookup Practical application 11:31:52- Vlookup in multiple sheets & Workbooks 11:36:37- Multiple Values in Vlookup 11:39:00- Reverse Vlookup 11:47:13- Vlookup with true condition 11:49:54- Vlookup with dynamic heading (vlookup + match) 11:57:10- index , match , index + match 12:08:15- Hlookup 12:11:10- Xlookup & With Multiple Values 12:19:05- filter formula multiple conditions 12:27:28- Advance Filter Feature 12:32:02- Financial Formulas - Pmt , Ipmt , Ppmt 12:40:55- Vtsack ,Hstack , Sequence , Transpose , Remove duplicates ,free alternative of 365 12:47:26- Add Developer Tab in Excel 12:49:08- Add Addins in Excel - Formula ai aided tool Bar 12:52:35- Chat Bot Assistants , Prompt Creation 13:16:41- Formula Creation through ai, Copilot 13:21:14- Formula Creation through ai Claude 13:31:24- Pagelayout Tab- All Print Settings 13:44:55- View Tab- Freeze Panes , Views 13:51:41- Review Tab- Sheet Protection 13:56:54- Text To Columns 13:59:33- Data Validation 14:05:49- Consolidation 14:09:23- Power Query 14:23:26- Pivot Table Theory 14:29:54- Pivot Table Creation 14:35:46- Pivot Design Option 14:44:30- Pivot Table Options 14:53:51- Pivot Shows as option 14:59:48- Pivot Slicer 15:02:18- Pivot Timeline 15:05:03- Pivot Chart Element Theory 15:13:39- Bar / Column Chart 15:18:29- Line and Trend Chart 15:21:50- Pie/ Donut Chart 15:24:18- Funnel 15:27:20- Treemap / Sunburst Chart 15:31:08- Map / Radar Chart 15:36:13- Promotion Video 15:37:11- Dashboard Theory 15:42:58- Data Check Overview 15:46:53- Dashboard Creation Planning 15:53:51- KPI Creation 16:08:32- Visual Creation 16:22:42- Dashboard Creation 17:01:22- Report & Dashboard through claude 17:12:10- Prensentation through ai 17:23:33- Assignment Answers keys 17:31:15- Interview Questions 17:33:01- How to Download the Data

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

Learn how to use the OpenAI's Assistants API to build powerful AI assistants. In this course, we'll explore how to leverage the Assistants API by OpenAI to create dynamic, intelligent web apps using Streamlit. What we'll cover: 1️⃣ Function Calling with the API: Learn to seamlessly integrate the Assistants API into your applications, enabling advanced AI functionalities right at your fingertips. 2️⃣ Knowledge Retrieval: Discover how to use the API to extract information, answer questions, and make your applications smarter and more responsive. 3️⃣ Code Interpreter Capabilities: Dive into the API's ability to interpret and generate code, a game-changer for automating tasks and enhancing your app's capabilities. 4️⃣ LLM Fundamentals: Gain a solid understanding of Large Language Models (LLMs) and how they form the backbone of OpenAI's Assistants API. This module demystifies the technology and provides a foundation for advanced application development. The course features a series of hands-on projects and real-world examples to apply what you've learned. By the end of our session, you'll have the skills and confidence to build your own intelligent web apps using Streamlit and OpenAI's Assistants API. ⭐️ Code ⭐️ Personal trainer: https://github.com/pdichone/vincibits-personal-trainer-assistant Personal trainer: https://github.com/pdichone/vincibits-personal-trainer-assistant Study-Buddy: https://github.com/pdichone/vincibits-study-buddy-knwoledge-retrieval ✏️ Created by @vincibits Twitter (X): @buildappswithme ❤️ Try interactive AI courses we love, right in your browser: https://scrimba.com/freeCodeCamp-AI (Made possible by a grant from our friends at Scrimba) ⭐️ Contents ⭐️ ⌨️ (0:00:00) Introduction ⌨️ (0:01:02) What’s This Course About - What Will You Learn? ⌨️ (0:01:33) Pre-requisites ⌨️ (0:02:44) Python and Dev tools Set up ⌨️ (0:04:22) VS Code Installation ⌨️ (0:05:31) OpenAI Account - Generate an API Key ⌨️ (0:07:53) What is the Assistants API & Benefits - Comparison Between the Chat Completion API and the Assistants API ⌨️ (0:18:16) Assistants API Building Blocks ⌨️ (0:24:04) Creating an Assistants API - Manually (Personal Trainer) ⌨️ (0:38:20) Creating an Assistants API - In Code (Personal Trainer) ⌨️ (1:04:15) Build a News Summarizer Introduction: Function Calling - A Streamlit Application ⌨️ (1:25:39) Create an AssistantsManager Class For our News Summarizer ⌨️ (2:10:46) Using the AssistantManager Class to Create an Assistant and run it as a Streamlit App ⌨️ (2:28:23) Knowledge Bases Retrieval Tools - How it Works & Introduction to Embeddings ⌨️ (2:35:25) Build a Study Buddy Streamlit Application ⌨️ (3:22:24) Run the Study Buddy Streamlit Application and Test ⌨️ (3:29:27) Wrap up and Final Considerations. 🎉 Thanks to our Champion and Sponsor supporters: 👾 davthecoder 👾 jedi-or-sith 👾 南宮千影 👾 Agustín Kussrow 👾 Nattira Maneerat 👾 Heather Wcislo 👾 Serhiy Kalinets 👾 Justin Hual 👾 Otis Morgan 👾 Oscar Rahnama -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news

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!

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