🔥Post Graduate Program In Cloud Computing: https://www.simplilearn.com/pgp-cloud-computing-certification-training-course?utm_campaign=CloudcomputingScribe&utm_medium=Descriptionff&utm_source=youtube
Cloud computing is a popular practice involving the internet to store and manage your data on the internet. In this video on cloud computing, we'll take you through all of the basic concepts of cloud computing like what makes it unique, its different models, and more. So without further ado, let's jump right into cloud computing.

Don't forget to take the quiz at 05:03!

The following topics are covered in the video:
1) Differences between on-premises and cloud
2) What is cloud computing?
3) Cloud computing: Deployment Model
4) Cloud Computing: Service Model

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#CloudComputing #WhatIsCloudComputing #CloudComputingExplained #CloudComputingIn6Minutes #CloudComputingTutorialForBeginners #Simplilearn

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✅ About Post Graduate Program In Cloud Computing

This Post Graduate Program in Cloud Computing helps you become an expert in designing, planning, and scaling cloud implementations. Our Cloud Computing course helps you master the core skill sets required to design and deploy dynamically scalable and reliable applications on three popular cloud platform providers: Microsoft Azure, AWS, and GCP.

✅ Key Features

- Caltech CTME Post Graduate Certificate
- Enrolment in Simplilearn’s JobAssist
- Receive upto 30 CEUs from Caltech CTME
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Master Classes taught by Caltech CTME instructor
- 8X higher interaction in live online classes by industry experts
- Online Convocation by Caltech CTME Program Director
- 40+ Hands-On Projects and Integrated Labs
- Capstone Project in 4 Domains
- Caltech CTME Circle Membership

✅ Skills Covered

- Cloud Provider Selection
- Application Migration
- Performance Testing
- Cloud Workloads
- Identity Access Management
- Autoscaling
- Disaster Recovery
- Web Services and API
- Cloud Migration and Deployment
- Database Management
- MultiCloud Deployment
- Storage Services

✅ Eligibility Criteria

For admission to this Cloud Computing Certification Course, candidates should have:
- A bachelor's degree with an average of 50% or higher marks
- May have a non-programming background
- Are not required to have prior work experience

👉 Learn more at: https://www.simplilearn.com/pgp-cloud-computing-certification-training-course?utm_campaign=CloudcomputingScribe&utm_medium=Description&utm_source=youtube
Also, explore our Post Graduate Program in Cloud Computing from Caltech CTME (US only) - https://pg-p.ctme.caltech.edu/cloud-computing-certification-online-course?utm_campaign=CloudcomputingScribe&utm_medium=Description&utm_source=youtube

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🔥Post Graduate Program In DevOps: https://www.simplilearn.com/pgp-devops-certification-training-course?utm_campaign=DevOpsToolsFullCourse07July22&utm_medium=DescriptionFirstFold&utm_source=youtube

This DevOps tools full course will help you learn DevOps concepts, and DevOps tools with examples and demos starting from basics to advanced. It will cover different DevOps tools like Git, Ansible, Selenium, Docker, Chef, Puppet, Kubernetes and Gradle.

🔥FREE DevOps Course: https://www.simplilearn.com/learn-devops-basics-skillup?utm_campaign=DevOpsToolsFullCourse07July22&utm_medium=DescriptionFirstFold&utm_source=youtube

Below are the topics covered in this video:
What is DevOps
Why DevOps
DevOps Phases
What is Git?
What is GitHub?
Git Commands
What is Jenkins
Jenkins Pipeline
Jenkins Installation
What is Docker?
Docker Installation
What is Docker Container?
What is Kubernetes?
Kubernetes Vs. Docker
Kubernetes on AWS
What is Puppet?
Why Puppet?
Puppet Installation
Ansible Installation
What is Ansible?
Benefits of Ansible
What is Selenium
Selenium suite of tools
Selenium Installation
DevOps Interview Questions

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About Simplilearn DevOps Training Course:
Simplilearn's DevOps Certification Training Course will prepare you for a career in DevOps, the fast-growing field that bridges the gap between software developers and operations. You’ll become an expert in the principles of continuous development and deployment, automation of configuration management, inter-team collaboration, and IT service agility, using modern DevOps tools such as Git, Docker, Jenkins, Puppet, and Nagios. DevOps jobs are highly paid and in great demand, so start on your path today.

Why learn DevOps?
Simplilearn’s DevOps training course is designed to help you become a DevOps practitioner and apply the latest in DevOps methodology to automate your software development lifecycle right out of the class. You will master configuration management; continuous integration deployment, delivery, and monitoring using DevOps tools such as Git, Docker, Jenkins, Puppet, and Nagios in a practical, hands-on and interactive approach. The DevOps training course focuses heavily on the use of Docker containers, a technology that is revolutionizing the way apps are deployed in the cloud today and is a critical skillset to master in the cloud age.

After completing the DevOps training course you will achieve hands-on expertise in various aspects of the DevOps delivery model. The practical learning outcomes of this DevOps training course are:
An understanding of DevOps and the modern DevOps toolsets
The ability to automate all aspects of a modern code delivery and deployment pipeline using:
1. Source code management tools
2. Build tools
3. Test automation tools
4. Containerization through Docker
5. Configuration management tools
6. Monitoring tools

Who should take this course?
DevOps career opportunities are thriving worldwide. DevOps was featured as one of the 11 best jobs in America for 2017, according to CBS News, and data from Payscale.com shows that DevOps Managers earn as much as $122,234 per year, with DevOps engineers making as much as $151,461. DevOps jobs are the third-highest tech role ranked by employer demand on Indeed.com but have the second-highest talent deficit.
1. This DevOps training course will be of benefit to the following professional roles:
2. Software Developers
3. Technical Project Managers
4. Architects
5. Operations Support
6. Deployment engineers
7. IT managers
8. Development managers

👉Learn more at: https://www.simplilearn.com/devops-engineer-masters-program-certification-training?utm_campaign=DevOpsToolsFullCourseJan19&utm_medium=Description&utm_source=youtube

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In this video on" What is Generative Ai" we dive into the exciting realm of Generative AI, a cutting-edge field at the intersection of artificial intelligence and creativity. Join us on a journey to understand the underlying principles and techniques behind Generative AI. We'll explore Generative AI, how Generative AI works, Use cases of Generative AI, and the advantages & disadvantages of Generative AI. Below are the topics covered in this Introduction to Generative AI Video.

00:00 What is Generative AI
01:34 How does Generative AI work?
02:28 Generative AI applications
04:45 Use Cases of Generative AI
06:14 Advantages of Generative AI
08:17 Limitations of Generative AI

Generative AI, a form of artificial intelligence, possesses the capability to generate a wide range of content, including text, visuals, audio, and synthetic data. The recent excitement surrounding generative AI stems from the user-friendly interfaces that allow users to effortlessly create high-quality text, graphics, and videos within seconds.

✅ Learn the Basics of AI for free & get a Completion Certificate, Enroll Now: https://www.simplilearn.com/learn-ai-basics-skillup?utm_campaign=POS-WhatIsGenerativeAI23May2023&utm_medium=Description&utm_source=youtube

✅ Know our learners and their journeys: https://www.simplilearn.com/reviews?utm_campaign=POS-WhatIsGenerativeAI23May2023&utm_medium=Description&utm_source=youtube

#GenerativeAI #OpenAI #GenerativeModels #GenerativeAICourse #AIAndML #GoogleBard #ChatGPT #BingAI #ArtificialIntelligenceCourse #MachineLearningCourse #AIEngineer #ArtificialIntelligence #AICareer #MLCareer #MachineLearning #ML #2023 #Shorts #Simplilearn

✅ AI ML Course Overview

This AI ML course is designed to enhance your career in AI and ML by demystifying concepts like machine learning, deep learning, NLP, computer vision, reinforcement learning, and more. You'll also have access to 4 live sessions, led by industry experts, covering the latest advancements in AI such as generative modeling, ChatGPT, OpenAI, and chatbots.

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- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
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- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Gain access to 4 live online sessions on latest AI trends such as ChatGPT, generative AI, explainable AI, and more
- Learn about the applications of ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools

✅ Skills Covered

- ChatGPT
- Generative AI
- Explainable AI
- Generative Modeling
- Statistics
- Python
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👉Learn more at: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=WhatIsGenerativeAI23May2023&utm_medium=Description&utm_source=youtube
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GPT3 & Beyond: Key concepts and open questions in a golden age for natural language understanding

Listen in as Professor Christopher Potts discusses the significance and implications of recent Natural Language Understanding developments including GPT-3. He describes the fundamental building blocks of these systems and describes how we can reliably assess and understand them.

Learn more about the AI Professional Program: https://stanford.io/3kYThd2

View the slides for this webinar here: https://stanford.io/potts-GPT3-webinar2023

#gpt3 #stanfordwebinar


Chapters:
0:00 Opening
00:09 Introduction for Chris Potts
1:09 Chris Potts - Welcome to the webinar
03:43 Quick Demo of GPT-3
06:41 GLUE benchmark
10:26 How can you contribute to NLU in this era of these gargantuan models?
11:44 The last mile problem
13:35 GPT example
14:50 Contrast In-Context learning with the standard paradigm of standard supervision
16:47 What are the mechanisms behind this?
18:18 Why does this work so well?
18:35 Self-Supervision
21:08 The role of human feedback
21:32 Chat GPT Diagram
23:42 Step-by-step reasoning
28:13 LLMs for everything approach
41:29 AI Courses at Stanford
46:28 Predictions about the future

Insight Partners Managing Director George Mathew joins Caroline Hyde and Ed Ludlow to discuss the investing opportunities in generative AI and competition with China, and why he thinks many companies will struggle in their transition to AI.
--------
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Hi, thanks for watching our video about training large language models on PyTorch 2.0
In this video we’ll walk you through:
- GPT4
- GPU
- Multimodal
- LLM
- Model Training
- Model Parallelism
- Distributed Data Parallel DDP
- Deep Learning
- ChatGPT
- palm-e Models
- VALLE
- GOOGLE LAMDA
Mode Parallel, Gradient Accumulation, Data Parallel with PyTorch, Larger Batches

The PyTorch Distributed Stack is a set of PyTorch features that facilitate training models in distributed systems. PyTorch has introduced multiple new features in the distributed package to help support larger scale and higher efficiency for both data and model parallel. In this talk, Yanli Zhao (Software Engineer, Meta AI) shares tips on how to reduce memory footprint, fit larger models and achieve significant speedup with distributed systems with features like Zero Redundancy Optimizer, DistributedDataParallel, FullyShardedDataParallel, CUDA RDMA and ShardedTensor.

OpenAI has officially announced GPT-4 the latest version of its incredibly popular large language model powering artificial intelligence (AI) chatbots. ChatGPT is an AI chatbot that utilizes the language models of GPT-3 and GPT-4 for interactive communication. In other words you can use chatgpt with gpt4. A Generative Pre-Trained Transformer (GPT) is a sophisticated neural network architecture used to train large language models (LLMs). It makes use of large amounts of publicly available Internet text to simulate human communication.

Main improvements:
* It's multimodal (what it is is in video)
* Longer context length
* Better performance
* More safer

chatgpt,
gpt4,
google AI,
Google Lamda,
Google PALM,
artificial intelligence,
Machine learning,
transformer models,
deep learning,
Ray,Ray Tune,Hyperparameter optimization,machine learning,mlflow,open-source

TIMESTAMPS
0:00 Intro
0:55 PyTorch
1:25 Autograd
2:35 PyTorch Distributed
3:10 Types of Parallelization
5:20 DDP
6:38 FSDP
7:48 Fairscale
8:55 PyTorch Lightning
10:30 Model Parallel
11:48 Sagemaker Training



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LINKS/Sources USED:
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YC: https://www.youtube.com/watch?v=hQC5O3WTmuo
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❤️ Check out Anyscale and try it for free here: https://www.anyscale.com/papers

📝 The paper "#GPT-4 Technical Report" is available here:
https://cdn.openai.com/papers/gpt-4.pdf

More here:
https://openai.com/product/gpt-4

App development: https://twitter.com/zaid/statu....s/163736539552613171
The most beautiful sentence: https://reddit.com/r/ChatGPT/c....omments/121t9b4/the_
Doggy: https://twitter.com/peakcooper..../status/163971682268
Safe code: https://twitter.com/moyix/stat....us/16425874103692656
Finds security holes: https://twitter.com/feross/sta....tus/1641548124366987
App design: https://www.usegalileo.ai

📝 Paper with caustics:
https://users.cg.tuwien.ac.at/....zsolnai/gfx/adaptive

My latest paper on simulations that look almost like reality is available for free here:
https://rdcu.be/cWPfD

Or this is the orig. Nature Physics link with clickable citations:
https://www.nature.com/articles/s41567-022-01788-5

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What is ChatGPT-4 System Prompt Engineering? - Ultimate Guide

Get a FREE 40+ ChatGPT Prompts PDF here:
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Discover how to optimize your AI experience by understanding System Roles in GPT-4 / ChatGPT! In this video, we'll guide you through the key components that shape your AI's behavior, from giving it a name and persona, to assigning roles, providing context, and defining tasks. Learn how these elements come together to improve user satisfaction, increase control over responses, and unlock new applications.

Watch now and start harnessing the full power of GPT-4 / ChatGPT for your business and creative needs!

00:00 GPT-4 / ChatGPT AI System Prompt Engineering
00:21 What is a ChatGPT System Role?
01:36 Why use System Roles?
03:17 ChatGPT System Role Name / Persona
08:02 ChatGPT System Roleplay
12:19 ChatGPT System Context
16:50 ChatGPT System Task / Objectives
20:50 ChatGPT System Role Examples
25:13 ChatGPT System Role Conclusion

https://www.allabtai.com

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐀𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐂𝐨𝐮𝐫𝐬𝐞 (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎) : https://www.edureka.co/advance....d-artificial-intelli
This Edureka video on "Artificial Intelligence With Python" will provide you with a comprehensive and detailed knowledge of Artificial Intelligence concepts with hands-on examples.
00:00:00 Introduction
00:05:36 Agenda
00:07:58 Demand of AI
00:09:38 What is AI
00:18:57 Types of AI
00:23:04 Why python for AI
00:25:49 Python Packages for AI

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

🌕 Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: http://bit.ly/3V7ffrh

🔵 Advanced Certificate Program in Cloud Computing with E&ICT Academy, IIT Guwahati: https://bit.ly/43vmME8

📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates
📌𝐓𝐰𝐢𝐭𝐭𝐞𝐫: https://twitter.com/edurekain
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🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐒𝐚𝐥𝐞𝐬𝐟𝐨𝐫𝐜𝐞 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 : https://www.edureka.co/salesfo....rce-administrator-an (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
This "Workflow in Salesforce" video by Edureka will help you understand what exactly is workflow in salesforce. It will also talk about the criteria and the various actions that can be automated using workflow in salesforce. Finally, we will then conclude the session with a demo, which will explain how to create a workflow rule in salesforce.
Topics Covered:
00:00:00 Introduction
00:00:27 Agenda
00:01:01 What are workflow rules
00:02:40 Types of action in workflow
00:05:36 Evaluation criteria for workflow
00:07:35 Use cases
00:10:04 Demo Create a workflow rule

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This Deep Learning full course covers all the concepts and techniques that will help you become an expert in Deep Learning. First, you will learn the basics of Deep Learning and understand how to install TensorFlow, what TensorFlow is, TensorFlow Object detection API works, different Deep Learning frameworks, convolutional neural networks, recurrent neural networks in Python, Deep Learning applications, and look at the essential interview questions.

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Dataset link - https://drive.google.com/drive..../folders/1COH2WuRtru

Below topics are explained in this Deep Learning full course video:
1. Deep Learning
2. Working of neural networks
3. Horus Technology
4. What is Deep Learning?
5. Image Recognition
6. Why do we need Deep Learning?
7. Applications of Deep Learning
8. What is a Neural Network?
9. Biological Neuron vs Artificial Neuron
10. Why are Deep Neural Nets hard to train?
11. Neural Network Prediction
12. Top Deep Learning Libraries
13. Why TensorFlow?
14. What is TensorFlow?
15. What are Tensors?
16. What is a Data Flow graph?
17. Program Elements in TensorFlow
18.TensorFlow program basics
19. Use case Implementation using TensorFlow
20.TensorFlow Object Detection
21. COCO Dataset
22.TensorFlow Object Detection API Tutorial
23. Deep Learning Frameworks
24. Keras
25.PyTorch
26. How image recognition works?
27. How does CNN recognizes images?
28. Types of Recurrent Neural Network
29. Working of LSTMs
30. Deep Learning Applications


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

You can gain in-depth knowledge of Deep Learning by taking our Deep Learning certification training course. With Simplilearn’s Deep Learning course, you will prepare for a career as a Deep Learning engineer as you master concepts and techniques, including supervised and unsupervised learning, mathematical and heuristic aspects, and hands-on modeling to develop algorithms. Those who complete the course will be able to:

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Advanced Excel Full Course For 2023 ny simplilearn is dedicated in helping aspiring data analysts and business analysts with the foundations of excel and the most significant Advanced Excel concepts.
This Tutorial on Excel Training by Simplilearn will include the following:
0:00:00 Excel Basic Knowledge
0:05:22 How To Lock(Protect) Cells In Excel
0:23:31 Excel Print Page Setup
0:27:51 Goal Seek In Excel
0:30:20 How To Freeze Row In Excel Tutorial
0:48:20 Charts In Excel
0:51:40 Conditional Formatting In Excel
0:57:24 How to Count Colored Cells in Excel?
1:24:08 Data Validation In Excel
2:04:10 Excel Lookup Tutorial
2:06:22 How to implement Vstack Function In Excel
3:03:45 Excel Power Query Tutorial For Beginners
3:08:10 How To Convert PDF To Excel
3:10:43 Excel Round Off Formula
3:13:10 Combining Data From Multiple Cells In Excel
3:16:36 DateDif In Excel Explained
3:20:31 How To Change Date Format In Excel (dd/mm/yyyy) To (mm/dd/yyyy)
3:24:04 How to Create a Pivot Table Using Multiple Sheets in Excel
3:28:28 Slicers In Excel
4:07:16 Excel Tips And Tricks 2021
4:14:53 SUMIFS Formula in Excel
4:25:59 How to Create Drop Down List In Excel?
4:32:52 Excel Budget Template 2021
4:43:00 Excel MIS Report
5:45:14 Excel Macros And VBA For Beginners
5:58:52 Userform In Excel
6:12:49 UiPath Excel Automation Tutorial
6:39:25 Regression In Excel
7:36:42 Excel Power Query Tutorial For Beginners
8:04:41 Pivot Tables In Excel
8:08:49 How To Recover Unsaved Excel File
9:00:35 Time Series Analysis
9:14:27 Project Planning
11:17:37 Excel Interview Questions And Answers

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➡️ Data Analytics Bootcamp
The Caltech Data Analytics Bootcamp is ideal for working professionals from all backgrounds. Develop core skills such as mastering excel, creating data-driven presentations, data manipulation with SQL, analyzing data with Python, and data visualization with Tableau. Learn data analysis with tools such as AWS.

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Welcome to this core Machine Learning course for beginners! This course is designed to help you build a solid foundation in machine learning, focusing on core concepts and in-depth explanations of regression analysis, which is often overlooked in other courses. Whether you're a beginner or someone looking to strengthen your understanding of machine learning, this course is for you!

✏️ Course created by @AyushSinghSh

🔗 Course information: https://github.com/ayush714/Co....re-Machine-Learning-
🔗 Lecture notes and resources: https://lms.antern.co/courses/....core-machine-learnin

⭐️ Contents ⭐️
⌨️ (0:00:00) Introduction
⌨️ (0:03:42) ML Foundation
⌨️ (1:04:47) Regression Foundation
⌨️ (2:51:53) Regression intermediate
⌨️ (3:48:48) MLR Intermediate
⌨️ (4:52:33) Regression Advance
⌨️ (6:31:04) Regression Project 1
⌨️ (7:04:15) Regression Project 2

🎉 Thanks to our Champion and Sponsor supporters:
👾 davthecoder
👾 jedi-or-sith
👾 南宮千影
👾 Agustín Kussrow
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👾 Otis Morgan

--

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 how to develop Dynamic Database-Driven Web Apps with Python, Flask, and MySQL. This course is broken up into two parts. In part one, you will learn how to build and deploy a site using the Flask Python web framework. In part two, you will connect the Flask application from the first part to a cloud MySQL database and learn how to deploy a production-ready database-driven web application.

✏️ Aakash N S created this course.
🔗 Submit your project & earn a certificate: https://jovian.com/learn/web-d....evelopment-with-pyth
🔗 Check out Jovian’s YouTube channel: https://youtube.com/@jovianhq

Notes & references links:
🔗 Part 1: https://jovian.com/aakashns/we....b-development-with-p
🔗 Part 2: https://jovian.com/aakashns/da....tabase-driven-web-ap

⭐️ Contents ⭐️
Part 1
⌨️ (0:00:00) Introduction
⌨️ (0:02:07) 1.1 Project Setup & Flask Basics
⌨️ (0:22:25) 1.2 Building Web Pages using HTML
⌨️ (0:40:57) 1.3 Styling with CSS & Bootstrap
⌨️ (1:08:25) 1.4 Dynamic Data using Templates
⌨️ (1:27:22) 1.5 Deploying to the Cloud with Render
⌨️ (1:42:39) 1.6 Functional and Aesthetic Improvements
⌨️ (1:58:44) 1.7 Summary & Future Work

Part 2
⌨️ (2:04:19) Database-Driven Web Applications
⌨️ (2:07:24) 2.1 Project Setup & Deployment
⌨️ (2:21:44) 2.2 Cloud MySQL Database Setup
⌨️ (2:36:20) 2.3 DB Connection with SQLAlchemy
⌨️ (2:56:22) 2.4 Display DB Data on Web Page
⌨️ (3:20:04) 2.5 Dynamic Database-Driven Pages
⌨️ (3:49:23) 2.6 HTML Form for Applications
⌨️ (4:15:37) 2.7 Saving Applications to DB
⌨️ (4:26:23) 2.8 Summary & Future Work

⌨️ (4:37:50) Conclusion



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

--

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*Note: 1+ Years of Work Experience Recommended to Sign up for Below Programs⬇️
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In this Selenium tutorial for beginners video, we will learn about Selenium and have a hands-on demo on the working of Selenium IDE and Selenium WebDriver. Selenium is an automated testing tool that tests web applications across various platforms and browsers. Selenium IDE, Selenium RC, Selenium WebDriver, and Selenium Grid constitute the Selenium suite.

The following are the topics included in this Selenium Tutorial video:
0:00 Selenium Tutorial for Beginners Introduction
1:04 Manual testing and its limitations
08:43 Selenium suite of tools
11:42 Selenium IDE with demo
27:30 Selenium RC
33:35 Selenium WebDriver with demo
57:59 Selenium Grid
1:02:32 Advantages of Selenium testing
1:04:17 Limitations of Selenium testing

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What is Selenium?
Selenium is an automated testing tool that tests web applications across various platforms and browsers. WebDriver happens to be one of the Selenium tools with a simple yet robust architecture. It controls the browser based on the user program. WebDriver revolutionized automation testing and continues to do so.

➡️About Post Graduate Program In DevOps
DevOps training course will bring out the scientist in you. You'll learn how to formalize and document development processes and create a self-documenting system. DevOps certification course will also cover advanced tools like Puppet, SaltStack, and Ansible that help self-governance and automated management at scale.

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🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐃𝐞𝐯𝐎𝐩𝐬 𝐜𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐭𝐫𝐚𝐢𝐧𝐢𝐧𝐠 (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎) : https://www.edureka.co/devops-....certification-traini
This Edureka DevOps Engineer Full Course will help you learn DevOps concepts and DevOps tools with examples and demos starting from basics to advanced. You will understand how DevOps work and how it is implemented in the modern software development lifecycle.

00:00:00 Introduction
00:01:25 Agenda
00:02:51 What is DevOps?
00:06:40 What is Cloud Computing
00:14:07 Microsoft Azure
00:14:14 How to launch these services in DevOps
00:29:51 Demo
00:47:59 DevOps Certification
00:49:40 Types of DevOps Certifications
00:58:55 How to create DevOps Free Account
01:04:26 DevOps Portals
01:18:29 DevOps Virtual Machine
01:22:36 DevOps VM Architecture
01:31:33 DevOps VM Hands-on
01:39:54 Introduction to DevOps Kubernetes Services
01:46:12 Container Vs VM
01:51:14 What is Kubernetes
02:06:32 Working of AKS
02:10:43 Use Case
02:29:31 ARM Templates
02:52:31 Demo
02:57:48 What is DevOps Active Directory
03:02:35 Service Audience
03:05:01 Active Directory Tenants
03:06:29 Demo
03:47:45 DevOps Tools
04:09:24 DevOps Automation
04:12:17 What is Git?
04:36:47 Git Operations & Commands
05:04:39 Introduction to SSH Keys
05:06:34 GitHub Basics
05:11:23 Getting Started with GitHub
05:18:30 Creating a Repository
05:26:39 Make a Commit
05:31:02 Open & Merge Pull Request
05:36:07 Jenkins - CI/CD
05:53:33 Hands-on
06:37:27 Docker - Containerization
06:49:25 What is DockerImage
06:52:21 What is Dockerfile
06:55:39 Docker Commands
07:01:34 Hands-on
07:13:48 DevOps Basics
07:36:08 Case Study
07:37:38 DevOps Testplan
07:46:58 Hands-on
08:03:07 DevOps Artifacts
08:07:16 Demo
08:26:54 Boards
08:30:25 Demo - Boards Walkthrough
08:39:39 DevOps Pipeline
08:43:32 Demo
08:52:30 DevOps CI/CD Pipeline
09:26:48 AWS DevOps Vs Azure DevOps
09:30:32 DevOps Interview Questions& Answers

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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates
📌𝐓𝐰𝐢𝐭𝐭𝐞𝐫: https://twitter.com/edurekain
📌𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧: https://www.linkedin.com/company/edureka
📌𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦: https://www.instagram.com/edureka_learning/
📌𝐅𝐚𝐜𝐞𝐛𝐨𝐨𝐤: https://www.facebook.com/edurekaIN/
📌𝐒𝐥𝐢𝐝𝐞𝐒𝐡𝐚𝐫𝐞: https://www.slideshare.net/EdurekaIN
📌𝐂𝐚𝐬𝐭𝐛𝐨𝐱: https://castbox.fm/networks/505?country=IN
📌𝐌𝐞𝐞𝐭𝐮𝐩: https://www.meetup.com/edureka/
📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/

Got a question on the topic? Please share it in the comment section below and our experts will answer it for you.

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Ilya Sutskever, one of the leading AI scientists behind ChatGPT, reflects on his founding vision and values. In conversations with the film-maker Tonje Hessen Schei as he was developing the chat language model between 2016 and 2019, he describes his personal philosophy and makes startling predictions for a technology already shaping our world. Reflecting on his ideas today, amid a global debate over safety and regulation, we consider the opportunities as well as the consequences of AI technology. Ilya discusses his ultimate goal of artificial general intelligence (AGI), ‘a computer system that can do any job or task that a human does, but better’, and questions whether the AGI arms race will be good or bad for humanity.

These filmed interviews with Ilya Sutskever are part of a feature-length documentary on artificial intelligence, called iHuman

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This Cloud Computing tutorial will help you understand why Cloud Computing has become so popular, what is Cloud Computing and the types of Cloud Computing. With the increased importance of Cloud Computing, qualified Cloud solutions architects and engineers are in great demand. Organizations have moved to cloud platforms for better scalability, mobility, and security. In simple words, cloud computing is the use of a network of remote servers hosted on the internet to store, manage and process data rather than a local server. With the increased importance of Cloud Computing, qualified Cloud solutions architects and engineers are in great demand. This video explains to you why we need cloud computing and why it has got so much importance in the current market.

Below topics are explained in this Cloud Computing Tutorial:
00:00:00 Public cloud
00:02:08 Private cloud
00:02:31 Hybrid cloud
00:03:50 IaaS
00:04:08 PaaS
00:04:33 SaaS

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This Business Intelligence Tutorial For Beginnersby Simplilearn will take you through the core concept of what is business intelligence. In this video, you will understand the process of business intelligence along with the applications and tools used for business intelligence. In addition, you will also know about the process involved in business intelligence.

Below are the topics we have covered in this business intelligence tutorial for beginners.
00:00 What is Business Intelligence?
02:23 Introduction to Business Intelligence
02:42 Steps Involved In Business Intelligence
06:07 Applications Of Business Intelligence
07:42 Tools for Business Intelligence

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Business Intelligence, often referred to as BI, is the process of collecting, analyzing, and transforming raw data into actionable insights for business purposes. It helps organizations make informed decisions, enhance performance, and gain a competitive edge in today's dynamic marketplace.

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Как спонтанный порядок возникает из хаоса? Дерек расскажет про явления синхронизации в нашей жизни. На примере с резонансом на новеньком мосту в Лондоне в 2000м году, когда, казалось бы, все проектировщики в курсе про то, как синхронный марш может разрушить мост. Объяснит, как синхронизируются метрономы на подвижной платформе. Как идеально соотносятся периоды вращения спутников вокруг планет на примере Юпитера. Про реакцию Белоусова-Жаботинского, как яркий пример химической автоколебательной реакции. А также как понимание явления синхронизации может помочь при сердечных аритмиях. И что помимо применения редукционизма науке важно научиться объединять составные части явлений и понимать их работу, как единого целого, которая обычно не равна просто сумме его частей.

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