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I'm going to show you GPT3 playground and how I built my very first GPT3 based application. GPT3 is amazing and this tutorial will take you into the magic and give you the basics of prompt design and examples of how the tech can be applied in python.

I've made the Google Colab and Github repos available here:

Google Colab notebook example:
https://colab.research.google.....com/drive/1TyuTvjs0h

Github Cbot command line example
https://github.com/graiz/cbot

Blog post with additional details:
https://gregraiz.com/building-....a-command-line-appli

How do you get an API key?
You have to apply for a key on OpenAI: https://beta.openai.com/
If you're waiting you can play around with GPT2. I have a video on how that works here: https://www.youtube.com/watch?v=R6KoIp1ETpM

Follow me on twitter http://www.twitter.com/graiz
I also have a blog and discord channel if you want to connect with me:
https://www.gregraiz.com

- GPT 3 demo of how to use the Open AI playground
- GPT 3 demo of using Google Colab with OpenAI
- GPT 3 demo of exporting an app to Python
- GPT 3 demo some of the problems with Open AI
- GPT3 demo of command line auto-complete from English to shell commands

The entire experience of building a GPT3 application is incredibly easy. That being said there are a lot of limits on what GPT3 currently does.

The core of the GPT3 experience is a single screen called the playground, this is where you can send commands, adjust the sliders and settings and see responses. The rest of the interface is example prompts that fill-in data from the playground and documentation.

The core of GPT3 is that it's a very sophisticated auto-complete. So when designing a prompt or playing with the playground, you want to give it as much context to complete your text in a meaningful way.

After playing around in the playground, I wanted to build an actual app that I could use on a regular basis. I've been trying to use the command line more to keep my hands on the keyboard and keep from dragging/dropping files around but I would often forget the more obscure commands.

I decided to build a bot that would help me find those commands based on simple english querries like.
- How do you install a program
- How do you change permissions on a file
- How do you copy files or pretty much anything else.

I started in the playground and got a very basic version working. OpenAi gives you tools to export the code and I did that into Google Collab. This is an interactive way to run/test and edit python. This was my first python program I've written so the interactive nature was helpful in playing around with basic concepts and getting the bare bones of the program running.

From there I was able to copy the code to my computer and get it working even better. I made this utility that I call cbot, I've made it open source and available to try. Unfortunately you do need an OpenAI API key to use it. This is unfortunate because it makes it difficult for developers to create and share open source tools that leverage OpenAI.

So far cbot has been really useful for looking up obscure commands and allows me to stay in the flow rather than jumping around the web trying to look up commands. My big takeaways from building my first GPT3 application:

1 - Getting started is incredibly easy and a lot of fun. I played around with how AI could be applied to ordering systems, explaining medicines in plain english to patients, grammar correction, and authoring Seinfeld fan-fiction scripts. I'm excited because there's a lot of interesting applications and the technology is very accessible.
2 - It's not magic and it's not perfect. It would often go off on a tangent and occasionally get stuck in a loop. There are controls to adjust how it will perform, but tweeking these controls seems to be an art, not a science.
3 - Developers should think of OpenAI as infrastructure. Similar to AWS, or Azure, it's providing pieces of functionality for your product/application. It's also a dependency and a point of failure. If you're starting a business using GPT3 you need to consider your long-term advantage and moat for your company because application of this technology will become common place.
4 - After playing with GPT3, I'm less concerned about the tech becoming self-aware and taking over the world. It's really impressive but it still has a long way to go. As I said before, the PT in GPT stands for pre-training and in the current version you're not yet able to upload large sets of data to fine tune the model. This is something that OpenAI is working on but it's got a way to go.
5 - Lastly - We are at the very start of something really big. If someone with no prior python experience can whip together an app that harnesses the collective knowledge of the web, just imagine where the technology can go.

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This video, " How to create video using ChatGPT" by Simplilearn, will take you through 2 different AI tools you can use to make engaging youtube videos. In this tutorial, you will see why using ChatGPT to make youtube videos is more easy and fun at the same time. In addition, you will also see how VEED is used to make engaging videos without giving much effort. Below are the topics we are covering in this ChatGPT tutorial.
00:00 How to create video using ChatGPT?
02:33 How to use ChatGPT for video script
06:10 Using ChatGPT to make youtube videos
09:25 Introduction to VEED
10:59 Using VEED to edit youtube videos

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🔵 What Is ChatGPT?
- ChatGPT is an advanced language model developed by OpenAI.
- It is based on the GPT-3.5 architecture, capable of generating human-like text.
- ChatGPT is trained on a vast amount of data and can provide conversational responses across a wide range of topics.

🔵 What is VEED?
VEED.IO is an online video editing platform enhanced by artificial intelligence, enabling effortless and inclusive video creation for all users.

#HowToCreateVideoUsingChatGPT #YouTubeVideosUisngChatGPT #ChatGPT #Chat_GPT #CreateVideoUsingChatGPT #ChatGPTTutorial #Simplilearn

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The "YouTube SEO 2023" video will help you understand how Youtube SEO work and how to optimize your content according to your SEO. Apart from that, We will learn How To Upload YouTube Video In 2023 and how to track their performance. We will also check out various SEO Tools that can get the job done. This Youtube SEO Tutorial will provide tips to improve your Stats using Youtube SEO.

In this YouTube SEO 2023 Video, we will learn the following:
00:00 YouTube SEO 2023
03:07 What is Youtube SEO?
12:05 How does Youtube SEO Work?
14:22 Youtube SEO Tips
35:26 Youtube SEO Tools

❓What is Youtube SEO?
YouTube SEO is a method for enhancing the ranking of channels and videos in search rankings. Many businesses use YouTube SEO techniques to increase their brand Reach over YouTube. YouTube has implemented an algorithm to rank videos to make relevant videos discoverable to users. As a result, channels face a challenge; if they want to be seen, they need to implement measures to optimize their videos for better ranking.

❓Best Youtube SEO Tools
⏩Canva
⏩SocialBlade
⏩TubeBuddy
⏩Ahrefs Keyword Explorer
⏩Cyfe

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What is Digital Marketing?
The digital marketing concept has its roots in traditional marketing methods but has a lot of online-specific aspects. Digital marketing involves connecting with customers and potential customers and convincing them they need your product or service. This is done through the Internet, social media, and other digital platforms. It is also known as ONLINE MARKETING, the most accessible, modern, and easy-to-use form of Promotion available today.

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This IMT Ghaziabad Digital Marketing Program grooms you to become a Digital Marketing expert through a comprehensive curriculum exploring all the different facets of digital marketing. It trains you on the latest digital marketing tools, and how to apply them for maximum results.

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✅ Skills Covered
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- Keyword Research
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- Offpage Optimization
- Social Media Marketing
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This demo shows how to run large AI models from #huggingface on a Single GPU without Out of Memory error. Take a OPT-175B or BLOOM-176B parameter model .These are large language models and often require very high processing machine or multi-GPU, but thanks to bitsandbytes, in just a few tweaks to your code, you can run these large models on single node.

In this tutorial, we'll see 3 Billion parameter BLOOM AI model (loaded from Hugging Face) and #LLM inference on Google Colab (Tesla T4) without OOM.

This is brilliant! Kudos to the team.

bitsandbytes - https://github.com/TimDettmers/bitsandbytes
Google Colab Notebook - https://colab.research.google.....com/drive/1qOjXfQIAU

🔥Post Graduate Program In Full Stack Web Development: https://www.simplilearn.com/pgp-full-stack-web-development-certification-training-course?utm_campaign=FullStackWebDevelopmentCourse2023-R6RX2Zx96fE&utm_medium=Descriptionff&utm_source=youtube
🔥Caltech Coding Bootcamp (US Only): https://www.simplilearn.com/coding-bootcamp?utm_campaign=FullStackWebDevelopmentCourse2023-R6RX2Zx96fE&utm_medium=Descriptionff&utm_source=youtube

In this Full Course on "Full Stack Web Development Course 2023" we will discuss about Full stack development after that we will see how to become a full-stack developer in 2023. After that we will learn more about HTML, CSS, and JavaScript. Following that, we will discuss the framework of JavaScript, React, Angular including how to use routing.
Moving Ahead we will talk about backend development, Node js, and Django.
After that, we will Learn About SQL, MongoDB And later on, explore what is GitHub and how to deploy our Project.
We will also talk about the salary and skills of a full Stack developer after which we have lined up an interview question and Answer series for you guys and with the help of that you can land a great job in the domain of full stack.

00:00:00 - Full Stack Web development Course 2023
00:01:23 - What is Full Stack?
00:07:53 - How To Become A Full Stack Web Developer In 2023
00:19:10 - Front End vs Back End Explained
00:26:47 - How to become frontend developer
00:34:49 - HTML
01:34:48 - What is CSS?
01:40:15 - CSS Color
01:45:19 - CSS Background Image
01:50:02 - CSS Selectors
01:53:32 - CSS BOX model
01:58:13 - CSS Flexbox
02:05:04 - CSS Grid layout
02:20:02 - CSS Forms
02:33:36 - What is JavaScript
02:46:32 - What is Dom
03:03:02 - JavaScript
04:05:15- How To Become A Backend Developer
04:10:05 - Angular
05:13:14 - Angular Routing
05:24:41 - React
06:15:10 - Node js
06:48:05 - What is Django
06:48:34 - Django Tutorial
08:20:57- SQL
08:48:37 - Mongo DB
10:30:27 - What is GitHub
10:37:39 - Full Stack Developer Salary, Skills & Resume
10:45:02 - Top 6 Projects To Add In Your Resume In 2023
10:51:45 - Interview QA HTML
10:56:34 - CSS Inerview Q/A
11:03:53 - JavaScript Interview Q/A
11:09:51 - Angular Interview Q/A
11:16:51 - React Interview Q/A
11:22:50 - Node js Interview Q/A

🔥 Free Full Stack Java Development Course for Beginners with completion certificate: https://www.simplilearn.com/free-full-stack-java-developer-course-skillup?utm_campaign=FullStackWebDevelopmentCourse2023&utm_medium=Description&utm_source=youtube

⏩ Check out the Full Stack tutorial videos: https://youtube.com/playlist?l....ist=PLEiEAq2VkUULCC3

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#FullStack #FullStackDevelopment #FullStackWebDevelopment #FullStackDeveloper #FullStackDeveloperCourse
#WhatIsFullStack #WhatIsFullStackWebDevelopment #FullStackDeveloperTutorial #FullStackWebDevelopmentCourse #FullStackTraining #FrontEndDevelopment #BackEndDevelopment #Simplilearn

✅ Watch Top Trending Videos From Simplilearn:
⏩Top 10 Programming Languages in 2023: https://youtu.be/Q2u3llawnvc
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⏩Top 10 Highest Paying Jobs in 2023: https://youtu.be/9tL1m9MXaXQ
⏩Top 10 Dying Programming Languages 2023: https://youtu.be/51mUwZ6J2D4
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✅ About Web Development Course:

This program will give you the foundation for building full stack web apps using the Java programming language. You'll begin with the basics of JavaScript, and then venture into some of the more advanced concepts like Angular, Spring Boot, Hibernate, JSPs, and MVC. Now is a perfect time to get started on your career as a full stack web developer!

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This video by simplilearn is based on Google Cloud In-depth tutorial for 2022. This google cloud in-depth tutorial will help you learn the critical fundamentals of the cloud according to the current IT Standards. Also, the tutorial will guide you with critical skills, tips and tricks required to become a cloud expert. In this video, we will be looking into what is GCP? GCP tutorial, AWS vs GCP, GCP web hosting, Google cloud ML, GCP fundamentals, Google Cloud Platform Fundamentals (CP100A) Certification Training.

What is GCP?
GCP Tutorial
AWS vs GCP
GCP Web Hosting
Google Cloud ML
Google Cloud Platform Certificate Training

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#GoogleCloudPlatformTutorial #GoogleCloudPlatformFullCourse #GoogleCloudTutorial #GoogleCloudPlatformTutorialForBeginners #CloudComputing #Simplilearn

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Simplilearn's Google Cloud Platform (GCP) Architect certification program will empower you with the skills needed to advance your career in cloud architecture and become a certified Google Professional Cloud Architect. The course covers IAM, Networking, cloud storage, and much more. Simplilearn’s online Google Cloud Platform (GCP) Architect certification course introduces you to the flexible infrastructure and platform services provided by Google Cloud Platform. In this course, you will learn how to analyze and deploy infrastructure components such as networks, storage systems, and application services.

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1. 100% Money Back Guarantee
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1. Knowledge of Google Cloud Platform fundamentals or any cloud platform is beneficial.
2. Basic knowledge of command-line tools and Linux operating system environments.
3. Prior operations experience in deploying and managing applications, either on-premises or in a public cloud environment.

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For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/30l2Kkw

Professor Christopher Manning, Stanford University
http://onlinehub.stanford.edu/

Professor Christopher Manning
Thomas M. Siebel Professor in Machine Learning, Professor of Linguistics and of Computer Science
Director, Stanford Artificial Intelligence Laboratory (SAIL)

To follow along with the course schedule and syllabus, visit: http://web.stanford.edu/class/....cs224n/index.html#sc

0:00 Introduction
0:23 Announcements
2:00 What is Coreference Resolution?
12:04 Applications
16:40 Coreference Resolution in Two Steps
19:39 Mention Detection: Not so Simple
22:19 Can we avoid a pipelined system?
23:39 4. On to Coreference! First, some linguistics
26:11 Anaphora vs Coreference
27:59 Anaphora vs. Coreference
29:24 Anaphora vs. Cataphora
32:33 Four kinds of Coreference Models
34:43 Hobbs Algorithm Example
40:07 Knowledge-based Pronominal Coreference
45:01 Hobbs' algorithm: commentary
46:06 Coreference Models: Mention Pair
47:33 Mention Pair Training
48:05 Mention Pair Test Time
52:01 7. Coreference Models: Mention Ranking
54:57 Coreference Models: Training
56:05 Mention Ranking Models: Test Time
56:49 A. Non-Neural Coref Model: Features

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭 𝐀𝐳𝐮𝐫𝐞 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 :https://www.edureka.co/microso....ft-certified-azure-s (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
This Edureka "Azure Active Directory” video will give you a thorough and insightful overview of Microsoft Azure Active Directory and help you understand other related terms like Tenants, Domain services etc.
Topics Covered:
00:00:00 Introduction
00:00:37 Agenda
00:00:10 What is cloud
00:02:30 What is cloud computing
00:03:17 What is Azure
00:05:40 Azure Features
00:08:02 What is Azure Active Directory
00:21:52 Windows AD vs Azure AD
00:13:50 Azure Active Directory Edition
00:17:14 Azure Active Directory Tenants

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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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Gain powerful digital leadership skills with the Post Graduate Digital Transformation Certification Program in collaboration with Purdue University. Also, master the most comprehensive framework for a successful business transformation with this Digital Transformation Course. This Digital Transformation Course will focus on the critical aspects of building a digital-ready business. You'll learn everything from understanding and leveraging the drivers of transformation to build a digital business strategy, to lead organizations, and help them navigate through the digital disruption.

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** Test Automation Engineer Masters Program : https://www.edureka.co/masters....-program/automation- **
This Edureka video on Types of Software Testing covers the various types of functional and non-functional testing.
Below topics are covered in this video:
00:00 Introduction
01:01 What is Software Testing
01:40 Why need Testing?
04:36 Software Testing Life Cycle
05:15 Types of Software Testing
06:40 Unit Testing
09:10 Integration Testing
11:15 System Testing
12:27 Interface Testing
15:41 Regression Testing
17:16 Acceptance Testing
19:32 Documentation Testing
20:30 Installation Testing
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#edureka #edurekasoftwaretesting #softwaretestingtypes #selenium #automationtesting

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Patreon: https://www.patreon.com/daveshap (now includes Discord!)
GATO Framework: https://www.gatoframework.org/

GitHub: https://github.com/daveshap
LinkedIn: https://www.linkedin.com/in/dave-shap-automator/
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Relevant Subreddits:
Artificial Sentience: https://www.reddit.com/r/ArtificialSentience/
Heuristic Imperatives: https://www.reddit.com/r/HeuristicImperatives/
Autonomous AI: https://www.reddit.com/r/Autonomous_AI/

DISCLAIMER: This video is not medical, financial, or legal advice. This is just my personal story and research findings. Always consult a licensed professional.

I work to better myself and the rest of humanity.

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐒𝐞𝐥𝐞𝐧𝐢𝐮𝐦 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠: https://www.edureka.co/seleniu....m-certification-trai code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎")
This Edureka Selenium Grid tutorial video (Selenium Grid Blog: https://goo.gl/1udj34) will take you through the in-depth details of Selenium Grid. This Selenium tutorial is ideal for both beginners and professionals who want to brush up the basics of Selenium Grid in terms of how Hub and nodes are setup.

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This tutorial will provide you an introduction to data structures. This Simplilearn tutorial will teach novices what data structure is and how to use it. We will discover real-world examples of data structures, as well as the types of data structures and their uses, in this data structures tutorial.

The following are some of the themes covered in this video:
00:00:00 Introduction What Is Data Structure?
00:01:21 What Is Data Structure?
00:02:07 What Is Data Structure? and Why do we need Data Structures?
00:04:17 What Is Data Structure? and it's Types
00:06:52 Importance of Data Structures

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#WhatIsDataStructure #IntroductionToDataStructure #DataStructuresTutotorial #DataStrcutureExplained #DataStrcuturesWithExamples #DataStrcutures #DataStructureTutorial #DataStructureAndAlgorithmsTutorial #DataStrcutures #Simplilearn

Introduction to Data Structures?
A data structure is a collection of data pieces that provides an efficient method for storing and organizing data in a computer so that it may be used effectively. Arrays, Linked Lists, Stacks, Queues, and other Data Structures are examples. Data Structures are employed in practically every element of computer science, including operating systems, compiler design, artificial intelligence, graphics, and many more applications.

What Is a Data Structure?
The short answer is: a data structure is a specific means of organizing data in a system to access and use. The long answer is a data structure is a blend of data organization, management, retrieval, and storage, brought together into one format that allows efficient access and modification. It’s collecting data values, the relationships they share, and the applicable functions or operations.

Why Is Data Structure Important?
The digital world processes an increasing amount of data every year. According to Forbes, there are 2.5 quintillion bytes of data generated daily. The world created over 90 percent of the existing data in 2018 in the previous two years! The Internet of Things (IoT) is responsible for a significant part of this data explosion. Data structures are necessary to manage the massive amounts of generated data and a critical factor in boosting algorithm efficiency. Finally, since nearly all software applications use data structures and algorithms, your education path needs to include learning data structure and algorithms if you want a career as a data scientist or programmer. Interviewers want qualified candidates who understand how to use data structures and algorithms, so the more you know about the concepts, the more comfortably and confidently you will answer data structure interview questions.

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MIT Introduction to Deep Learning 6.S191: Lecture 9
The Modern Era of Statistics
Lecturer: Ramin Hasani
2023 Edition

For all lectures, slides, and lab materials: http://introtodeeplearning.com​

Lecture Outline - coming soon!


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🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏𝐲𝐭𝐡𝐨𝐧 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 : https://www.edureka.co/python-....programming-certific (Use code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎")
This Edureka video on Regular Expressions in Python will help you understand the various fundamental concepts in Python and how they are used in Python programming along with examples.
00:00:00 INTRODUCTION
00:00:30 SCENARIO-1
00:00:45 SCENARIO-2
00:01:09 SCENARIO-3
00:01:35 PROBLEM SOLUTION
00:02:30 REGULAR EXPRESSION OPERATION
00:03:31 REGULAR EXPRESSION OPERATION EXAMPLE-1
00:03:58 REGULAR EXPRESSION OPERATION EXAMPLE-2
00:04:45 REGULAR EXPRESSION OPERATION EXAMPLE-3
00:05:49 REGULAR EXPRESSION OPERATION EXAMPLE-4
00:07:10 REGULAR EXPRESSION OPERATION EXAMPLE-5
00:08:15 REGULAR EXPRESSION OPERATION EXAMPLE-6
00:09:17 REGULAR EXPRESSION OPERATION EXAMPLE-7
00:09:32 REGULAR USE EXPRESSION
00:11:50 DEMO OF REGULAR EXPRESSION

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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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

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