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This is the ultimate AI full course for absolute beginners who want to understand and start building with Artificial Intelligence — step by step and from scratch.
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💼 Perfect for:
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00:00:00 Introduction
00:01:48 What is Artificial Intelligence?
00:04:02 Types Of Artificial Intelligence
00:14:16AI vs Machine Learning vs Deep Learning
00:28:00 What is Deep Learning?
00:39:13 What is LLM? (Large Language Model)
00:55:43 What is AI Ethics?
01:04:19 What is Responsible AI?
01:12:33 Artificial Intelligence with Python
02:51:29 Artificial Neural Network
03:23:17 Recurrent Neural Networks
03:52:09 Convolutional Neural Network
04:12:44 Introduction to TensorFlow
04:36:21 OpenAI o3-mini Model
04:43:33 Introduction to Midjourney
05:02:05 How to use Midjourney?
05:09:48 GitHub Copilot
05:27:07 What is Vibe Coding?
05:36:17 Top 5 AI Frameworks
05:51:02 How AI is Transforming Studio Ghibli-Style Animation?
05:56:29 AI in Web Development
06:21:40 AI in Healthcare
06:30:22 AI in Retail
06:36:31 AI in Automotive
06:46:26 AI for Marketing
06:59:02 AI for Business
07:04:29 AI in Finance
07:13:06 AI for HR
07:19:28 AI in Manufacturing
07:25:55 AI in Cybersecurity
07:35:44 AI for Startup
07:44:17 AI for Testing
07:49:43 AI for Ethical Hacking
07:54:37 AI on Microsoft Azure
08:07:02 AI and Industry 4.0
08:12:03 AI Engineer Learning Path 2025
08:19:15 Top 15 AI Skills You Need to Know
08:27:35 Build AI Applicant Tracking System (ATS)
08:43:09 Artificial Intelligence Interview Questions & Answers

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For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/ai

October 28, 2025
This lecture provides walkthroughs of examples of AI projects and making day-to-day decisions in building AI systems.

To learn more about enrolling in this course, visit: https://online.stanford.edu/co....urses/cs230-deep-lea

To follow along with the course schedule and syllabus, visit: https://cs230.stanford.edu/syllabus/

More lectures will be published regularly.
View the playlist: https://www.youtube.com/playli....st?list=PLoROMvodv4r

NOTE: There was no class on November 4, 2025 (Lecture 7). The next lecture is Lecture 8.

Andrew Ng
Founder of DeepLearning.AI
Adjunct Professor, Stanford University’s Computer Science Department

Kian Katanforoosh
CEO and Founder of Workera
Adjunct Lecturer, Stanford University’s Computer Science Department

AI robots, with Elon Musk, Ameca, Boston Dynamics. To learn more about AI, please visit https://brilliant.org/digitalengine where you'll also find loads of fun courses on maths, science and computer science.

Here's the first video on our new channel, Go Rogue:
https://youtu.be/k07unSpmBSg

Thanks to Brilliant for sponsoring this video.

To stay at the stunning Appleby Castle: http://applebycastle.org

For custom nerf blasters: https://outofdarts.com

Please don't feel anxious about this - the AI in this video obviously isn't dangerous (GPT-3 isn't conscious). I'm optimistic that the future of AI will be great (if we're careful).

Sources:

Here are the records for the original GPT-3 chat (screenshots and a video to avoid any doubt). I've marked the words from Elon Musk and Ameca on the first page (which I gave the AI to respond to in the previous video):
https://www.dropbox.com/sh/82i....wek5rnofmrn2/AADM4WO

Tesla's AI day 2, introducing the Tesla Optimus robot:
https://www.youtube.com/watch?v=ODSJsviD_SU&t=1198s

Researchers from Oxford University and DeepMind on AI risks:
https://onlinelibrary.wiley.co....m/doi/10.1002/aaai.1

Robotic Navigation with Large Pre-Trained Models of Language, Vision, and Action:
https://arxiv.org/abs/2207.04429

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This Simplilearn video on How To Introduce Yourself In Interview will brief you on how you can craft a well-prepared self-introduction. Here, we will provide you with an outline of how to get going with a smart self-introduction that will help you grab your dream job. So, let's begin!

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Introduction 00:00:00
What the Interviewer Wishes to See in Your Self-Introduction 00:00:51
Self-Introduction Outline 00:01:46
Tip 1: Start Your Introduction With a Greeting 00:01:58
Tip 2: Brief About Your Educational Background 00:02:21
Tip 3: Speak About Your Current Job 00:02:47
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Tip 5: Closing Statement 00:03:50
Additional Self-Introduction Tips 00:04:31

Don't forget to participate in the contest at 03:26!

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Bể thủy sinh núi đá Tiger • Rocky Aquarium #thuysinh #aquariums

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In this full stack development course, you will learn how to create an application using MongoDb for the database, Java and Spring Boot for the backend, and React for the frontend.

You will learn to develop a movie review application that will feature a separation of concerns between the client code and the server code. By implementing this loosely coupled architecture, these two parts (implemented using different technologies) can evolve in parallel and independently from one another.

✏️ Farhan Hasin Chowdhury teaches the backend section.
✏️ Gavin Lon teaches the frontend section. @GavinLon

💻 Backend Code: https://github.com/fhsinchy/movieist
💻 Frontend Code: https://github.com/GavinLonDigital/movie-gold-v1

🔗 Spring Initializr - https://start.spring.io/
🔗 JDK Download Page: https://www.oracle.com/java/te....chnologies/downloads
🔗 IntelliJ IDEA Download Page: https://www.jetbrains.com/idea/download/
🔗 Postman Download Page: https://www.postman.com/downloads/

🏗 MongoDB provided a grant to make this course possible.

⭐️ Contents ⭐️
⌨️ (0:00:00) Course Introduction
⌨️ (0:01:48) JDK and IntelliJ IDEA Installation
⌨️ (0:06:13) MongoDB Atlas
⌨️ (0:20:35) Project Initialization
⌨️ (0:27:03) Project Structure
⌨️ (0:29:13) Running The Project
⌨️ (0:32:41) Writing The First Endpoint
⌨️ (0:35:33) Database Configuration
⌨️ (0:38:49) Installing Additional Dependencies
⌨️ (0:44:48) Setting Up Environment Variables
⌨️ (0:47:20) Movies and Reviews Endpoints
⌨️ (1:31:46) Testing
⌨️ (1:35:42) Backend Conclusion

⌨️ (1:36:45) Frontend Introduction
⌨️ (1:38:32) Create the React Project
⌨️ (1:43:49) Applying Bootstrap to our React application
⌨️ (1:52:47) Implementing the Use State and Use Effect Hooks
⌨️ (1:58:04) Create Home and Hero Component
⌨️ (2:06:56) Style the Carousel
⌨️ (2:15:21) Create Header Component (Navigation)
⌨️ (2:21:55) Create Trailer Component with react-player
⌨️ (2:28:46) Create Movie Reviews Functionality
⌨️ (2:34:43) Add and Get Reviews with HTTP Requests
⌨️ (2:40:33) Course Wrap Up

🎉 Thanks to our Champion and Sponsor supporters:
👾 Nattira Maneerat
👾 Heather Wcislo
👾 Serhiy Kalinets
👾 Erdeniz Unvan
👾 Justin Hual
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--

Learn to code for free and get a developer job: https://www.freecodecamp.org

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For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/ai

September 23, 2025
This lecture covers:
1. Class introduction
2. Examples of deep learning projects
3. Course details

To learn more about enrolling in this course, visit: https://online.stanford.edu/co....urses/cs230-deep-lea

To follow along with the course schedule and syllabus, visit: https://cs230.stanford.edu/syllabus/

More lectures will be published regularly.
View the playlist: https://www.youtube.com/playli....st?list=PLoROMvodv4r

Andrew Ng
Founder of DeepLearning.AI
Adjunct Professor, Stanford University’s Computer Science Department

Kian Katanforoosh
CEO and Founder of Workera
Adjunct Lecturer, Stanford University’s Computer Science Department

Demystifying attention, the key mechanism inside transformers and LLMs.
Instead of sponsored ad reads, these lessons are funded directly by viewers: https://3b1b.co/support
Special thanks to these supporters: https://www.3blue1brown.com/le....ssons/attention#than
An equally valuable form of support is to simply share the videos.

Demystifying self-attention, multiple heads, and cross-attention.
Instead of sponsored ad reads, these lessons are funded directly by viewers: https://3b1b.co/support

The first pass for the translated subtitles here is machine-generated, and therefore notably imperfect. To contribute edits or fixes, visit https://translate.3blue1brown.com/

And yes, at 22:00 (and elsewhere), "breaks" is a typo.

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

Here are a few other relevant resources

Build a GPT from scratch, by Andrej Karpathy
https://youtu.be/kCc8FmEb1nY

If you want a conceptual understanding of language models from the ground up, @vcubingx just started a short series of videos on the topic:
https://youtu.be/1il-s4mgNdI?si=XaVxj6bsdy3VkgEX

If you're interested in the herculean task of interpreting what these large networks might actually be doing, the Transformer Circuits posts by Anthropic are great. In particular, it was only after reading one of these that I started thinking of the combination of the value and output matrices as being a combined low-rank map from the embedding space to itself, which, at least in my mind, made things much clearer than other sources.
https://transformer-circuits.p....ub/2021/framework/in

Site with exercises related to ML programming and GPTs
https://www.gptandchill.ai/codingproblems

History of language models by Brit Cruise,  @ArtOfTheProblem 
https://youtu.be/OFS90-FX6pg

An early paper on how directions in embedding spaces have meaning:
https://arxiv.org/pdf/1301.3781.pdf

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

Timestamps:
0:00 - Recap on embeddings
1:39 - Motivating examples
4:29 - The attention pattern
11:08 - Masking
12:42 - Context size
13:10 - Values
15:44 - Counting parameters
18:21 - Cross-attention
19:19 - Multiple heads
22:16 - The output matrix
23:19 - Going deeper
24:54 - Ending

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

These animations are largely made using a custom Python library, manim. See the FAQ comments here:
https://3b1b.co/faq#manim
https://github.com/3b1b/manim
https://github.com/ManimCommunity/manim/

All code for specific videos is visible here:
https://github.com/3b1b/videos/

The music is by Vincent Rubinetti.
https://www.vincentrubinetti.com
https://vincerubinetti.bandcam....p.com/album/the-musi
https://open.spotify.com/album..../1dVyjwS8FBqXhRunaG5

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

3blue1brown is a channel about animating math, in all senses of the word animate. If you're reading the bottom of a video description, I'm guessing you're more interested than the average viewer in lessons here. It would mean a lot to me if you chose to stay up to date on new ones, either by subscribing here on YouTube or otherwise following on whichever platform below you check most regularly.

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In this video, I break down a complete AI agent tutorial for beginners in 2026, explaining what is an AI agent and how it works. You’ll learn how to build an AI agent step by step, including how to build an AI agent for free using modern tools and workflows, plus how AI automation fits into building smarter systems. Whether you're looking for a practical AI agent course or want to understand how to make an AI agent for free, this guide covers everything you need to get started.

00:00 - Intro: Why AI Agents are the Future of Productivity
00:54 - Personal Assistant: Monitoring Email & WhatsApp Updates
01:33 - Getting Started: Creating Your Free Base44 Account
02:21 - Dashboard Tour: Understanding Apps vs. Superagents
03:16 - The Employee Mindset: Setting Up Background AI Work
03:31 - Building Phase: Creating Your First AI Superagent
04:13 - Prompting Mastery: Building an Email Monitoring Agent
04:59 - Connectivity: Authorizing Gmail & Google Permissions
05:50 - The Brain Tab: Controlling Your Agent’s Identity & Personality
07:39 - The Soul: Defining Decision-Making Rules for AI
08:48 - Knowledge Base: Uploading Documents & Reference Files
09:45 - Memory Systems: How Your Agent Builds Context Over Time
10:45 - Integrations Hub: Connecting Slack, Calendar & Drive
12:05 - Chat Interface: Communicating with Your AI Assistant
13:30 - Voice Interaction: Using the Microphone Command Feature
14:37 - Tasks & Automation: Scheduled vs. Event-Triggered Workflows
16:13 - External Tools: Mastering OAuth & API Connections
18:47 - Security: Managing Secrets and API Keys Safely
19:28 - WhatsApp Integration: Chatting with AI from Your Phone
21:18 - API Access: Connecting Your Agent to External Systems
22:16 - Monetization: Setting Up Stripe & Payment Integration
23:19 - Real-World Flow: Automated Email Response Drafting
24:44 - Slack Optimization: Summarizing Busy Workspace Activity
26:00 - Reporting: Generating Automated Daily Activity Summaries
27:21 - Business Use Case: Customer Support Automation
28:19 - Prompt Frameworks: Writing Instructions That Get Results
29:44 - Credit Management: Understanding Usage and Costs
30:24 - Troubleshooting: Fixing Active Tasks & Connections
31:10 - Outro: Future-Proofing Your AI-Powered Business

For inquiries: Mikey (at) ytmedia.group

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In this AWS DevOps training video, you will learn everything about AWS and DevOps from basic to advanced levels. This video on AWS DevOps Tutorial For Beginners includes an introduction to DevOps, AWS, why DevOps with AWS, AWS code pipeline, hands-on project, and interview preparation. This is a must-watch session for everyone who wishes to learn AWS DevOps and make a career in the cloud domain.

00:00:00 Introduction
00:01:32 What is Data Engineering?
00:19:30 How to Become a Data Engineer?
00:21:03 Introduction to Big Data
00:53:02 How To Become A Big Data Engineer?
01:07:30 Hadoop Ecosystem
01:25:22 AWS services for data engineering
01:38:27 How to create EC2 Instances in AWS?
02:20:05 Amazon Virtual Private Cloud (VPC)
03:12:19 Amazon CloudWatch
03:41:20 AWS CloudFormation
03:58:24 AWS S3
04:38:04 Amazon Redshift
05:10:37 AWS Kinesis
05:31:32 AWS Lambda
05:38:20 AWS EMR
05:54:17 Getting Started with AWS Glue ETL
06:13:56 Apache Hive
07:14:27 Apache Sqoop Tutorial
07:32:19 AWS Interview Questions and Answers
🔴 𝐋𝐞𝐚𝐫𝐧 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐅𝐨𝐫 𝐅𝐫𝐞𝐞! 𝐒𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 𝐭𝐨 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐘𝐨𝐮𝐓𝐮𝐛𝐞 𝐂𝐡𝐚𝐧𝐧𝐞𝐥: https://edrk.in/DKQQ4Py

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Please write back to us at [email protected] or call us at IND: 9606058406 / US: +18885487823 (toll-free) for more information.

Building a research multi agent system → https://goo.gle/41TYswp
Agent starter pack → https://goo.gle/4iZiz35
Human-in-the-Loop LangGraph app → https://goo.gle/4iyii7h

What is agentic AI and how can developers apply agentic AI in their applications? Welcome back to season 2 of Real Terms for AI with Googlers Aja Hammerly and Jason Davenport. In this video, Aja and Jason discuss agentic workflows, how agents are different from workflows, and when to use an agentic workflow. Follow along with code snippets in the Github link and help implement these concepts in many use cases.

Chapters:
0:00 - Intro
0:43 - What does agentic mean?
2:08 - Agentic workflow examples
3:28 - When to use agentic workflow or AI agent
4:33 - Wrap up

Watch more Real Terms for AI → https://goo.gle/AIwordsExplained
Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech

#GoogleCloud #GenerativeAI

Speakers: Aja Hammerly, Jason Davenport
Products Mentioned: Gemini, Gemma

Rihanna, Adele, The Weeknd, Dua Lipa, Maroon 5, Miley Cyrus, Ed Sheeran 🌟 Música Pop En Inglés 2024💖
https://www.youtube.com/channe....l/UCXSoMOeF6exiwVIJ2
#MúsicaPopEnInglés, #Billboardhot100, #topsongs
=========================================
¡Bienvenidos a 'Pop Music'! 💖💖💖

💖 Disfruta de lo mejor del pop en inglés con The Weeknd, Maroon 5, Miley Cyrus, Adele, Ed Sheeran, Bruno Mars, y Dua Lipa en este playlist del 2024! Una colección de éxitos que no te puedes perder.

🎵 ¡Hola y bienvenido al canal "Pop Music"! Aquí es donde podrás disfrutar de la diversidad y riqueza del mundo de la música pop a través de los mejores éxitos.
🎵 Acompañando a "Pop Music", siempre estarás al día con las últimas tendencias musicales, conocerás artistas talentosos y te sumergirás en un colorido espacio musical.
🎵 Suscríbete al canal para no perderte ningún éxito y comparte con nosotros nuestra pasión por las mejores melodías del mundo de la música pop.
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¡Gracias por ver! ¡No olvides SUSCRIBIRTE, darle Me Gusta y Compartir mi video si lo disfrutas! ¡Que tenga un lindo día!https://www.youtube.com/channe....l/UCXSoMOeF6exiwVIJ2
💟 Envíe un correo electrónico aquí: [email protected]
💟 No olvides ME GUSTA - COMPARTIR - COMENTAR
💟 Disfruta de otros álbumes de música pop en inglés aquí
💟 Por favor no copie de ninguna forma
🔔 Gracias por todo
=========================================
📷 Video Storyblocks.com
📷 Video Envato.com
📷 Video Shutterstock.com

Learn how to use AI tools to become more productive as a developer.

You will master AI pair programming and agentic terminal workflows using top-tier tools like GitHub Copilot, Anthropic's Claude Code, and the Gemini CLI. The course also covers open-source automation with OpenClaw, teaching you how to set up a highly customizable, locally hosted AI assistant for your development environment. Finally, you will learn how to maintain high code quality and streamline your team's workflow by integrating CodeRabbit for automated, AI-driven pull request analysis.

Some of this course is based on this article from Mrugesh Mohapatra: https://www.freecodecamp.org/n....ews/how-to-become-an

CodeRabbit provided a grant to make this course possible.
Try out CodeRabbit: https://coderabbit.link/fcc

Contents
- 0:00:00 Introduction to AI-Assisted Development
- 0:00:42 Core Fundamentals: Tokens, Context Windows, and Hallucinations
- 0:05:48 When to Use AI vs. When to Code Manually
- 0:06:57 Setting Up GitHub Copilot in VS Code
- 0:09:42 Copilot Pricing and Plans
- 0:10:18 First Steps: Ghost Text and Code Completions
- 0:13:40 Pro Tip: The Neighboring Tabs Trick
- 0:15:52 Practice Exercise: Building a To-Do App
- 0:17:15 Interaction Modes: Ask, Edit, and Agent Mode
- 0:21:44 Agent Mode: Building a Full REST API Autonomously
- 0:24:52 Repository Customization with Instruction Files
- 0:26:34 Using Participants and Slash Commands
- 0:28:34 Automated Code Reviews with CodeRabbit
- 0:30:57 Setting Up CodeRabbit for GitHub Repositories
- 0:32:03 Simulating Real-World PR Reviews and Security Fixes
- 0:37:33 Chatting with AI Directly in Pull Requests
- 0:41:12 Configuring CodeRabbit Behaviors (.yaml)
- 0:41:58 Local Reviews via the CodeRabbit CLI
- 0:48:13 Powerful Terminal AI: Claude Code vs. Gemini CLI
- 0:49:12 Claude Code: Reasoning, Thinking Modes, and Fixes
- 0:53:02 Gemini CLI: Million-Token Context and Multimodal Features
- 0:57:01 OpenClaw: Your Open-Source Personal AI Assistant
- 1:01:01 Automating Tasks with Cron Jobs and Desktop Actions
- 1:03:33 Orchestrating Your AI Workflow
- 1:08:27 Model Context Protocol (MCP): Giving AI Real-World Tools
- 1:12:40 AI Code Quality and Security Essentials
- 1:15:03 The Formula for Better Prompt Engineering
- 1:16:13 Course Recap and Final Resources

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

This Generative AI full course is designed to help you understand and explore the power of AI in the most simple and practical way. Whether you're a beginner or just curious about how tools like ChatGPT, Midjourney, or other AI systems work, this course covers everything from the basics of what Generative AI is, how to communicate with AI using effective prompts, and real-life use cases in content creation, business, and productivity.
00:00:00:Introduction
00:02:06 What is Machine learning?
00:18:42 Types of Machine Learning Models
00:25:56 Mathematics for Machine Learning
02:08:43 Machine Learning Algo
02:30:38 How to select the correct predictive modeling techniques?
02:42:48 Linear Regression Algorithm
02:50:14 Logistic Regression Algorithm
03:37:27 Linear Regression Vs Logistic Regression
03:40:58 MLOps for Beginners
03:53:00 How to Become a Machine Learning Engineer?
04:02:31 Machine learning Engineer Skills
04:10:40 Machine Learning Roadmap
04:20:32 Machine Learning Tips
04:27:12 What is Generative AI?
04:40:42 Generative AI Examples
04:59:21 Generative AI Tools
05:20:46 What Are GANs?
05:33:08 Generate Images Using DC-GAN
05:57:41 Transformers In Gen AI
06:05:20 Generative AI Course - Part 1 - What is LLM?
06:25:04 Generative AI Course - Part 2 - What is LangChain?
06:42:19 Generative AI Course - Part 3 - What is RAG?
07:05:11 Prompt Engineering Explained
07:18:56 Prompt Engineering for Code Generation
07:28:16 Building a Chatbot with Prompt Engineering
07:44:10 GitHub Copilot
08:01:36 OpenAI API using Python
08:09:51 Midjourney
08:28:12 Generative AI in Marketing
08:38:42 Exploring the Ethics of Generative AI
08:46:12 Nvidia's Latest Breakthrough in Generative AI
08:52:49 DeepSeek vs OpenAI: Who Wins the AI Race?
09:05:22 The Future of Generative AI and Job Opportunities
09:11:06 GenAI Roadmap
09:19:51 Generative AI Interview Questions

🔴 𝐋𝐞𝐚𝐫𝐧 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐅𝐨𝐫 𝐅𝐫𝐞𝐞! 𝐒𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 𝐭𝐨 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐘𝐨𝐮𝐓𝐮𝐛𝐞 𝐂𝐡𝐚𝐧𝐧𝐞𝐥: https://edrk.in/DKQQ4Py

📢📢Check out the latest 2025 video on Top 10 Technologies for the most up-to-date insights!
📌 Top 10 Technologies to Learn in 2025 → https://youtu.be/5kjWh8lBxC4

📝Feel free to share your comments below.📝

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates
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📌𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦: https://www.instagram.com/edureka_learning/



Please write back to us at [email protected] or call us at IND: 9606058406 / US: +18885487823 (toll-free) for more information.