🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐃𝐞𝐯𝐎𝐩𝐬 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 𝐔𝐒𝐄 𝐂𝐎𝐃𝐄 ('𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎'):
https://www.edureka.co/masters....-program/devops-engi
Are you ready to supercharge your DevOps career this year? In this video, we've got the ultimate guide to the "Top 5 DevOps Certifications" that are not only in high demand but also offer some of the highest-paying opportunities in the tech industry.🚀 Whether you're a seasoned DevOps pro or just starting your journey, these DevOps certifications can take your skills to the next level, making you an invaluable asset to any organization.

Top 5 DevOps Certifications are:

✅ 00:00 Top 5 DevOps Certifications
✅ 01:00 Introduction to DevOps
✅ 03:51 AWS Certified DevOps Engineer - Professional
✅ 05:14 Certified Kubernetes Administrator (CKA)
✅ 06:31 Microsoft Certified Azure DevOps Engineer Expert
✅ 07:45 Docker Certified Associate (DCA)
✅ 09:05 Certified Jenkins Engineer

Check our complete DevOps playlist here (includes all the videos mentioned in the video): http://goo.gl/O2vo13

For doubts & queries on DevOps, post the same on Edureka Community: https://www.edureka.co/community/devops

𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐃𝐞𝐯𝐎𝐩𝐬 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠𝐬

🔵 DevOps Online Training: http://bit.ly/3VkBRUT
🔵 AWS DevOps Online Training: https://bitly.ws/WyxA
🔵 Kubernetes Online Training: https://bitly.ws/WyxU
🔵 Microsoft Azure Online Training: https://bitly.ws/Wyya
🔵 Docker Online Training: https://bitly.ws/Wyyy
🔵 Jenkins Online Training: https://bitly.ws/WyyJ

𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐃𝐞𝐯𝐨𝐩𝐬 𝐌𝐚𝐬𝐭𝐞𝐫𝐬 𝐏𝐫𝐨𝐠𝐫𝐚𝐦

🔵 DevOps Engineer Masters Program: https://bit.ly/3pXp1Ou

𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦

🌕 Professional Certificate Program in DevOps with Purdue University: https://bit.ly/3yqRlMS

DevOps Podcast: https://castbox.fm/channel/id1684800
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
- - - - - - - - - - - - - -

About the Course
Edureka’s DevOps online training is designed to help you master key tools of Devops lifecycle like Docker, Puppet, Jenkins, Nagios, GIT, Ansible, SaltStack and Chef used by a DevOps Engineer for automating multiple steps in SDLC. During this course, our expert DevOps instructors will help you:

1. Understand the concepts and necessities of DevOps
2. Understand the need for DevOps and the day-to-day real-life problems it resolves
3. Learn installation and configuration of common infrastructure servers like Apache, and Nginx for the Enterprise
4. Learn popular DevOps tools like Jenkins, Puppet, Chef, Ansible, SaltStack, Nagios and GIT
5. Implement automated system update, installations and deployments
6. Learn Virtualization Concepts
7. Configuration deployment and packaging, continuous integration using GIT
8. Fine tune Performance and set-up basic Security for Infrastructure
9. Manage server operations using Code which is popularly known as Infrastructure as a Code
10. Understand the need for and concepts of Monitoring and Logging.

Along with the above mentioned topics, to help you master the most popular DevOps tools, you will also receive 3 additional self-paced courses including presentations, class recordings, assignments, solutions for the following tools:

1: Ansible - Covers Introduction, Setup & Configuration, Ansible Playbooks, 37 Ansible Modules, Different Roles and Command Line usage.
2: Chef - Covers Introduction, Building the Cook Book, Node Object & Search, Data-bags, Chef environment, Roles, Deploying Nodes in Production and using the Open Source Chef Server.
- - - - - - - - - - - - - -

Who should go for this course?
DevOps practitioners are among the highest paid IT professionals today, and the market demand for them is growing rapidly. With the emergence of new job roles around DevOps philosophy, anyone aspiring to get into these new roles, can take up this DevOps course. Some of these roles are:

DevOps Engineers
Site Reliability Engineers (SREs)
Automation Engineers
Cloud Engineers
Infrastructure as Code (IaC) Specialists

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

Project Work
1. Host a dummy webpage using Apache Web Server.
2. Write shell script which reports:
a) Various system configurations related to the user and the OS.
b) Data related to load on the server.
c) Top 5 processes with maximum number of threads.
d) Sort the services by memory
3. Install Nagios on a VM node for monitoring the various parameters of the VM.

For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free).
#Edureka #EdurekaDevOps #DevOpsTutorial #DevOpsTools #DevOpsTraining #Git #Jenkins #Docker #Puppet #Ansible #DevOps #Kubernetes #Ansible #Puppet #Chef #Terraform

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 𝐂𝐨𝐮𝐫𝐬𝐞 - 𝐁𝐞𝐠𝐢𝐧𝐧𝐞𝐫𝐬 𝐭𝐨 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝: https://www.edureka.co/openai-....chatgpt-training-cou
ChatGPT can now see, hear, and speak! In this new update, ChatGPT gains the ability to interact with the world in a more multimodal way. This means that ChatGPT can now process and understand images and videos, and can also generate speech.

This is a major step forward for ChatGPT, and brings it closer to becoming a truly intelligent and versatile AI assistant.

To learn more about the new ChatGPT features, and to see some examples of how they work, watch this video till the end.

⏩ Edureka ChatGPT Explained Playlist: http://bit.ly/3HGRy3G

#edureka #chatgptupdates #chatgpt #openai #chatgpttutorial #chatgpt3 #ai #nlp #artificialintelligence

Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

🔵 DevOps Online Training: http://bit.ly/3VkBRUT
🌕 AWS Online Training: http://bit.ly/3ADYwDY
🔵 React Online Training: http://bit.ly/3Vc4yDw
🌕 Tableau Online Training: http://bit.ly/3guTe6J
🔵 Power BI Online Training: http://bit.ly/3VntjMY
🌕 Selenium Online Training: http://bit.ly/3EVDtis
🔵 PMP Online Training: http://bit.ly/3XugO44
🌕 Salesforce Online Training: http://bit.ly/3OsAXDH
🔵 Data Science Online Training: http://bit.ly/3V3nLrc
🌕 CEHv12 Online Training: http://bit.ly/3Vhq8Hj

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬

🔵 DevOps Engineer Masters Program: http://bit.ly/3Oud9PC
🌕 Cloud Architect Masters Program: http://bit.ly/3OvueZy
🔵 Data Scientist Masters Program: http://bit.ly/3tUAOiT
🌕 Big Data Architect Masters Program: http://bit.ly/3tTWT0V
🔵 Business Intelligence Masters Program: http://bit.ly/3UZPqJz

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬

🔵 Artificial and Machine Learning PGD with E&ICT Academy
NIT Warangal: http://bit.ly/3OuZ3xs

🌕 Professional Certificate 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

📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 2023 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢
⏩ NEW Top 10 Technologies To Learn In 2023 - https://youtu.be/udD_GQVDt5g

🔵 About Edureka ChatGPT Certification Training Course

Edureka’s ChatGPT Certification Training Course will teach you about ChatGPT architecture, GPT models, methodology, and real-world applications. The ChatGPT certification training program is an excellent choice for individuals and organizations seeking to improve their language processing and AI skills and knowledge.

🔵 Why take up the Online ChatGPT Certification Course?

Interested individuals can opt for the Online ChatGPT Certification course as this course provides:

Comprehensive knowledge: The course provides a comprehensive understanding of ChatGPT, including its architecture, training methodology, and real-world applications.

Career advancement: The certification demonstrates an individual's expertise and competence in working with ChatGPT, making them a valuable asset to any organization.

Stay ahead of the curve: ChatGPT is a rapidly growing field, and with the certification, one can stay ahead of the curve and stay updated with the latest advancements in the industry.

Enhance skills: The course provides practical skills and knowledge that can be applied to various areas and industries.

🔵 Who should take up this ChatGPT Certification Course?

The ChatGPT Certification Course is suitable for a wide range of individuals, including:

AI professionals: This course is ideal for AI professionals who want to gain expertise in ChatGPT and expand their knowledge in the field of AI.

Developers: Developers who want to integrate ChatGPT into their projects and create new AI applications can benefit from the course.

Data scientists: Data scientists who want to understand how ChatGPT can be used to process and analyze large amounts of data can also benefit from the course.

📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates
📌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
📌𝐌𝐞𝐞𝐭𝐮𝐩: https://www.meetup.com/edureka
📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/

Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information.

How far away are we from AGI? Does OpenAI have the right approach? Or will someone else get there first?

Are models like Dall-E, ChatGPT, and GPT-4 the way to get there?

Leave a comment below with what you think!

00:00 Intro
00:42 What is AGI?
01:08 OpenAI’s Origin Story
02:25 Enter GPT and Dall-E
03:15 OpenAI’s Roadmap
04:33 Closing Thoughts

Please like this video and subscribe to my channel if you want to see more videos like this!

Follow me on other platforms so you’ll never miss out on my updates!

💌 Sign up for my newsletter! https://alexchao.substack.com/subscribe
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Sources:
Planning for AGI and Beyond (https://openai.com/blog/planni....ng-for-agi-and-beyon

McKinsey's executive primer on artificial general intelligence
(https://www.mckinsey.com/capab....ilities/operations/o

Contrary Research’s report on Open AI
(https://research.contrary.com/reports/openai)

🔥Azure & GCP Course for 3-8 Yrs Work Exp: https://l.linklyhq.com/l/1tx74
🔥Azure & GCP Course for 0-3 Yrs Work Exp: https://l.linklyhq.com/l/1ugBx
🔥Azure & GCP Course for 8+ Yrs Work Exp: https://l.linklyhq.com/l/1tx75
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

#TypesOfCloudComputing #CloudComputingServices #CloudComputingServiceModels #CloudComputingTypes #PublicCloudComputing #PrivateCloudComputing #HybridCloudComputing #CloudComputingTutorialForBeginners #CloudComputing #Simplilearn

✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

⏩ Check out the AWS training videos: https://bit.ly/2LtnprE

🔥Explore Our Free Courses With Completion Certificate by SkillUp: https://www.simplilearn.com/skillup-free-online-courses?utm_campaign=TypesofCloudComputingDec30&utm_medium=Description&utm_source=youtube

➡️ 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 up to 30 CEUs from Caltech CTME
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Attend Masterclasses from Caltech CTME instructors
- Live virtual classes led by industry experts, hands-on projects and integrated labs
- 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

👉 Learn More At: https://www.simplilearn.com/pgp-cloud-computing-certification-training-course?utm_campaign=TypesofCloudComputingDec30&utm_medium=Description&utm_source=youtube

🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688

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🔥 Post Graduate Program In Business Analysis: https://www.simplilearn.com/pgp-business-analysis-certification-training-course?utm_campaign=22June2023WhatisBusinessIntelligence&utm_medium=DescriptionFF&utm_source=youtube
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

✅ Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

⏩ Check out the Business Analytics training videos: https://youtube.com/playlist?l....ist=PLEiEAq2VkUUIhyG

#WhatisBusinessIntelligence #BusinessIntelligenceTutorialforBeginners #BusinessIntelligence #BI #PowerBI #PowerBiForBeginners #BA #BusinessAnalyst #WhatisBusinessAnalytics #BusinessAnalytics #Simplilearn

🔵 Whats Is Business Intelligence?
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.

➡️ About Post Graduate Program In Business Analysis
This Post Graduate Program in Business Analysis is for professionals looking to pursue a Business Analysis career, understand business analysis techniques, get hands-on experience, and for experienced analysts looking to learn the latest tools and frameworks used by Agile teams.

✅ Key Features
- Certificate from Simplilearn in collaboration with Purdue University
- Become eligible to be part of the Purdue University Alumni Association
- Master Classes delivered by Purdue faculty
- Earn 35 PDs/CDUs post completion of the CBAP® module
- Harvard Business Publishing case studies of Pearson, CarMax, EvCard, etc.
- Capstone from 3 domains and 14+ projects
- Simplilearn Career Service helps you get noticed by top hiring companies
- Get mentored and network with Business Analyst from Amazon, Microsoft, and Google

✅ Skills Covered
- Business Analysis
- Elicitation and Collaboration
- BRD FRD and SRS Document Creation
- Requirements Analysis
- Planning and Monitoring
- Requirements Life Cycle Management
- Strategy Analysis
- Wireframing
- Solution Evaluation
- Dashboarding
- Data Visualization
- Agile scrum methodology
- Scrum Artifacts
- Statistical Analysis using Excel
- SQL Database
- Python
- Data analysis
- Digital Transformation

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This is a video about the most famous problem in Game Theory, the Prisoner’s Dilemma. Head to https://brilliant.org/veritasium to start your free 30-day trial, and the first 200 people get 20% off an annual premium subscription.

Special thanks to our Patreon supporters! Join the community to help us keep our videos free, forever:
https://ve42.co/PatreonDEB

If you’re looking for a molecular modeling kit, try Snatoms – a kit I invented where the atoms snap together magnetically – https://ve42.co/SnatomsV


▀▀▀
A massive thank you to Prof. Robert Axelrod and Prof. Steven Strogatz for their expertise and time.

To read more about Prof. Axelrod’s Passion for Cooperation visit: https://ve42.co/Axelrod2023

A massive thanks to the wonderful Nicky Case. Nicky’s “The Evolution of Trust” game was a huge inspiration for this video. We highly recommend you play this excellent game yourself, over at: https://ncase.me/trust/

A huge thank you to those who helped us understand and fact check different parts of this topic - Dr. Christian Hilbe, Dr. Vincent Knight, Dr. Jelena Grujic, Prof. Andreas Diekmann, and Dr. Alexander Stewart.

▀▀▀
References:
Excellent game on the evolution of trust by Nicky Case - https://ve42.co/Case2023
Summary of Axelrod’s work by This Place - https://www.youtube.com/watch?v=BOvAbjfJ0x0
How to outsmart the Prisoner’s Dilemma by TED-Ed - https://www.youtube.com/watch?v=emyi4z-O0ls&pp=ygUScHJpc29uZXIncyBkaWxlbW1h
Tit for Tat by radiolab - https://ve42.co/T4T
The Golden Rule by radiolab - https://ve42.co/GoldenRule
Axelrod, R. (1984). The Evolution of Cooperation.
Dawkins, R. (2016). The selfish gene. Oxford university press.
Poundstone, W. (1992). Prisoner's Dilemma. William Poundstone.
Nowak, M. A., & Highfield, R. (2011). Supercooperators. Edinburgh: Canongate.
Binmore, K. (2007). Game theory: a very short introduction. OUP Oxford.
Northrup, L. & Rock, D. (1966). The Detection of Joe I. - https://ve42.co/JOE1
Prisoner’s dilemma, Wikipedia - https://ve42.co/WikiPD
Prisoner’s Dilemma, Stanford - https://ve42.co/StanfordPD
Flood, M. M. (1952). Some experimental games. - https://ve42.co/Flood1952
Historical nuclear weapons stockpiles, Wikipedia - https://ve42.co/WikiNWS
Goodwin, I. (1998). The Price of Victory in Cold War - https://ve42.co/Goodwin1998
Cold war: How it happened. - https://ve42.co/CW2014
Axelrod, R. (1980). Effective choice in the prisoner's dilemma. Journal of conflict resolution, 24(1), 3-25. - https://ve42.co/Axelrod1980a
Axelrod, R. (1980). More effective choice in the prisoner's dilemma. Journal of conflict resolution, 24(3), 379-403. - https://ve42.co/Axelrod1980b
Axelrod, R., & Hamilton, W. D. (1981). The evolution of cooperation. science, 211(4489), 1390-1396. https://ve42.co/Axelrod1981
Stanislav Petrov, Wikipedia - https://ve42.co/WikiSP
Wu, J., & Axelrod, R. (1995). How to cope with noise in the iterated prisoner's dilemma. Journal of Conflict resolution, 39(1), 183-189. - https://ve42.co/Wu1995
INF Treaty - https://ve42.co/INF
START Treaties - https://ve42.co/START
START I, Wikipedia - https://ve42.co/WikiSTART


Images & Video:
RAND Historical images via rand.org - https://ve42.co/RAND
Golden Balls - https://www.youtube.com/watch?v=S0qjK3TWZE8
Zotti, G., et al. (2021). The Simulated Sky: Stellarium for Cultural Astronomy Research - https://ve42.co/Stellarium
Newspapers from 1980s via Newspapers.com – https://ve42.co/Newspapers
Decommisioned nuke image via The Moscow Times - https://ve42.co/MT2012
Soviet inspection image via Bulletin of the Atomic Scientists - https://ve42.co/Krzyzaniak2019
Decommissioning nuclear weapon via ShareAmerica - https://ve42.co/Kaufman2014


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Special thanks to our Patreon supporters:
Adam Foreman, Amadeo Bee, Anton Ragin, Balkrishna Heroor, Bernard McGee, Bill Linder, Burt Humburg, Dave Kircher, Diffbot, Evgeny Skvortsov, Gnare, Jesse Brandsoy, John H. Austin, Jr., john kiehl, Josh Hibschman, Juan Benet, KeyWestr, Lee Redden, Marinus Kuivenhoven, Mario Bottion, Max Maladino, Meekay, meg noah, Michael Krugman, Paul Peijzel, Richard Sundvall, Sam Lutfi, Stephen Wilcox, Tj Steyn, TTST, Ubiquity Ventures


▀▀▀
Directed by Casper Mebius
Written by Casper Mebius, Derek Muller, Petr Lebedev, and Ashley Hamer
Additional research and fact checking by Gregor Čavlović and Will Wood
Edited by Peter Nelson
Animated by Fabio Albertelli, Ivy Tello and Alondra Vitae
Illustrations by Jakub Misiek
Filmed by Derek Muller
Produced by Casper Mebius, Derek Muller, Gregor Čavlović and Han Evans

Additional video/photos supplied by Getty Images
Music from Epidemic Sound
Thumbnail by Peter Sheppard

▶ Intellipaat's AWS Certification Training Course for Solutions Architect - https://intellipaat.com/aws-ce....rtification-training

This "AWS Full Course" video will assist you in understanding the concept of cloud computing. In this video, we will introduce cloud computing and AWS and various AWS categories such as compute services and storage services. With multiple hands-on approaches, learn about popular AWS services such as EC2, S3, RDS, VPC, and Load Balancer. In addition, we will go over Career and Certification Paths, as well as salary and skill requirements for a successful career in AWS. At the end of the video, we will also go over important AWS interview questions.

🔵 What is Cloud Computing?
Cloud computing refers to a network of remote servers hosted on the internet that are used to store and retrieve data. The cloud offers a variety of IT services, including servers, databases, software, virtual storage, and networking. Cloud computing is defined as a virtual platform that allows you to store and access your data over the internet without any restrictions.

🔵 What is AWS?
Amazon Web Services (AWS) is the world's largest cloud computing service provider, with over 200 integrated features and services. The majority of businesses have already done so, and others are on their way. Most businesses are migrating to the AWS cloud because of the numerous features that enable them to easily store data without the need for a physical space. AWS is geographically divided into regions to ensure reliability. AWS has central hubs in Japan, on the east coast of the United States, and on the west coast of the United States, as well as in Brazil, Ireland, Singapore, and Australia.

👉Following topics are covered in this video:
00:00:00 -Introduction to AWS
00:07:00 - Introduction to Cloud Computing
00:21:24 - AWS Suite
00:26:22 - Virtualization in AWS
00:31:07 - Azure vs AWS vs GCP
00:35:07 - Introduction to EC2
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01:01:29 - Introduction to EFS
01:03:02 - EBS vs EFS
01:12:45 - Public IP vs Elastic IP
01:23:09 - What is FSX
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03:48:24 - What is Cloud Computing
04:20:09 - Why AWS?
04:24:28 - Introduction to AWS
04:26:39 - Service Domains in AWS
04:51:02 - Hands-On on Compute AWS Services
05:14:58 - AWS Services - ECS
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05:37:05 - AWS Services - Database
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08:00:09 - Terraform
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09:46:41 - Introduction to AWS(Discussion)
09:58:14 - AWS Interview Questions

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( Data Science Training: https://www.edureka.co/data-sc....ience-r-programming- )
This "Machine Learning with R" video by Edureka will help you to understand the core concepts of Machine Learning followed by a very interesting case study on Pokemon Dataset in R. This tutorial will comprise of these topics:

1. Understanding Machine Learning
2. Applications of Machine Learning
3. Types of Machine Learning Algorithms
4. Case Study on the "Pokemon Dataset" to implement Machine Learning Algorithms

Subscribe to our channel to get video updates. Hit the subscribe button above.

Check our complete Data Science playlist here: https://goo.gl/60NJJS

#LogisticRegression #Datasciencetutorial #Datasciencecourse #datascience

How it Works?
1. There will be 30 hours of instructor-led interactive online classes, 40 hours of assignments and 20 hours of project
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. You will get Lifetime Access to the recordings in the LMS.
4. At the end of the training you will have to complete the project based on which we will provide you a Verifiable Certificate!

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

About the Course

Edureka's Data Science course will cover the whole data life cycle ranging from Data Acquisition and Data Storage using R-Hadoop concepts, Applying modelling through R programming using Machine learning algorithms and illustrate impeccable Data Visualization by leveraging on 'R' capabilities.

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

Why Learn Data Science?

Data Science training certifies you with ‘in demand’ Big Data Technologies to help you grab the top paying Data Science job title with Big Data skills and expertise in R programming, Machine Learning and Hadoop framework.

After the completion of the Data Science course, you should be able to:
1. Gain insight into the 'Roles' played by a Data Scientist
2. Analyse Big Data using R, Hadoop and Machine Learning
3. Understand the Data Analysis Life Cycle
4. Work with different data formats like XML, CSV and SAS, SPSS, etc.
5. Learn tools and techniques for data transformation
6. Understand Data Mining techniques and their implementation
7. Analyse data using machine learning algorithms in R
8. Work with Hadoop Mappers and Reducers to analyze data
9. Implement various Machine Learning Algorithms in Apache Mahout
10. Gain insight into data visualization and optimization techniques
11. Explore the parallel processing feature in R

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

Who should go for this course?

The course is designed for all those who want to learn machine learning techniques with implementation in R language, and wish to apply these techniques on Big Data. The following professionals can go for this course:

1. Developers aspiring to be a 'Data Scientist'
2. Analytics Managers who are leading a team of analysts
3. SAS/SPSS Professionals looking to gain understanding in Big Data Analytics
4. Business Analysts who want to understand Machine Learning (ML) Techniques
5. Information Architects who want to gain expertise in Predictive Analytics
6. 'R' professionals who want to captivate and analyze Big Data
7. Hadoop Professionals who want to learn R and ML techniques
8. Analysts wanting to understand Data Science methodologies

For more information, Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll free).

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Customer Reviews:

Gnana Sekhar Vangara, Technology Lead at WellsFargo.com, says, "Edureka Data science course provided me a very good mixture of theoretical and practical training. The training course helped me in all areas that I was previously unclear about, especially concepts like Machine learning and Mahout. The training was very informative and practical. LMS pre recorded sessions and assignmemts were very good as there is a lot of information in them that will help me in my job. The trainer was able to explain difficult to understand subjects in simple terms. Edureka is my teaching GURU now...Thanks EDUREKA and all the best. "

🔥Edureka Data Science Master Program: https://www.edureka.co/masters....-program/data-scient
This Edureka session on Machine Learning with Tree-Based Models in Python will help you understand the Bagging & Boosting concepts in detail.

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

About the Masters Program

Edureka’s Machine Learning Engineer Masters Program makes you proficient in techniques like Supervised Learning, Unsupervised Learning and Natural Language Processing. It includes training on the latest advancements and technical approaches in Artificial Intelligence & Machine Learning such as Deep Learning, Graphical Models and Reinforcement Learning.

The Master's Program Covers Topics LIke:

Python Programming
PySpark
HDFS
Spark SQL
Machine Learning Techniques and Artificial Intelligence Types
Tokenization
Named Entity Recognition
Lemmatization
Supervised Algorithms
Unsupervised Algorithms
Tensor Flow
Deep learning
Keras
Neural Networks
Bayesian and Markov’s Models
Inference
Decision Making
Bandit Algorithms
Bellman Equation
Policy Gradient Methods

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

Prerequisites

There are no prerequisites for enrolment to the Masters Program. However, as a goodwill gesture, Edureka offers a complimentary self-paced course in your LMS on SQL Essentials to brush up on your SQL Skills. This program is designed and developed for an aspirant planning to build a career in Machine Learning or an experienced professional working in the IT industry.

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

For online Data Science training write to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll free).

🔥IIT Kanpur Professional Certificate Course In AI And Machine Learning (India Only): https://www.simplilearn.com/iitk-professional-certificate-course-ai-machine-learning?utm_campaign=ndxvF-Eh_sg&utm_medium=DescriptionFirstFold&utm_source=youtube
🔥 Purdue Post Graduate Program In AI And Machine Learning: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=ndxvF-Eh_sg&utm_medium=DescriptionFirstFold&utm_source=youtube
🔥AI Engineer Masters Program (Discount Code - YTBE15): https://l.linklyhq.com/l/1yhn3

In this video, we guide you through a comprehensive Generative AI roadmap for beginners, breaking down the essential steps to kickstart your journey. From learning Python and basic machine learning concepts to diving into deep learning and building generative models like GANs and VAEs, this step-by-step guide covers everything you need. Whether you're just starting out or looking to build a solid foundation in AI, this roadmap will give you the skills and confidence to explore the exciting world of Generative AI. Don't miss out on this must-watch for aspiring AI enthusiasts!

✅ How to learn gen AI for beginners?
To learn Generative AI as a beginner, start by mastering Python and basic machine learning concepts. Then, explore deep learning frameworks like TensorFlow or PyTorch. Study neural networks and dive into generative models like GANs and VAEs. Practice with hands-on projects to build real-world experience.

✅ Does generative AI require coding?
Yes, generative AI typically requires coding, especially in languages like Python. You’ll need to understand coding to work with frameworks such as TensorFlow or PyTorch, build models, and manipulate data. However, some tools and platforms now offer low-code or no-code solutions for those with limited programming skills.

✅ Is AI highly paid?
Yes, AI professionals are highly paid due to the increasing demand for specialized skills in machine learning, data science, and AI development. Roles like AI engineers, data scientists, and machine learning specialists command high salaries, reflecting the value of AI expertise in industries like tech, healthcare, finance, and more.

✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

⏩ Check out More AI Videos By Simplilearn: https://youtube.com/playlist?l....ist=PLEiEAq2VkUULyr_

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#genairoadmapforbeginners #genairoadmapforbeginnersandexperts #genAIRoadmap #careerInGenAI #GenAi #simplilearn #2024

➡️ About Post Graduate Program In AI And Machine Learning

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.

✅ Key Features

- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 3 Capstones and 25+ Projects with industry data sets from Twitter, Uber, Mercedes Benz, and many more
- Master Classes delivered by Purdue faculty and IBM experts
- 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
- Supervised Learning
- Unsupervised Learning
- NLP
- Neural Networks
- Computer Vision
- And Many More…

👉 Enroll Now: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=ndxvF-Eh_sg&utm_medium=Description&utm_source=youtube

🔥🔥 *Interested in Attending Live Classes? Call Us:* IN - 18002127688 / US - +18445327688

✅ Inspiring Success Stories of Simplilearn's Learners: https://www.simplilearn.com/reviews?utm_campaign=ndxvF-Eh_sg&utm_medium=Description&utm_source=youtube

🔥Edureka Tensorflow Training: https://www.edureka.co/ai-deep....-learning-with-tenso
This Edureka LSTM Explained video will help you in understanding why we need Recurrent Neural Networks (RNN) and what exactly it is. It also explains few issues with training a Recurrent Neural Network and how to overcome those challenges using LSTMs.

🔹Check our complete Deep Learning With TensorFlow playlist here: https://goo.gl/cck4hE
🔹Check our complete Deep Learning With TensorFlow Blog Series: http://bit.ly/2sqmP4s

00:00:00 Agenda
00:02:37 What is Natural Language Processing
00:04:00 Ways to Process Text Data
00:05:46 Recurrent Neural Networks
00:12:26 Long short term Memory
00:17:06 Long short term memory use cases
00:18:06 Real time applications of LSTM
00:18:09 Name Entity Recognition
00:20:45 Sentiment Analysis
00:22:40 Machine Translation
00:24:32 Hands-on

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#Edureka #DeepLearningEdureka #LSTMExplained #NeuralNetworks #DeepLearningTraining #DeepearningTutorial #EdurekaTraining

---------------------------------------Edureka Post Graduate Courses-------------------------------------------

🔵 Artificial and Machine Learning PGD: https://bit.ly/3AylL0q


How it Works?

1. This is 21 hrs of Online Live Instructor-led course. Weekend class: 7 sessions of 3 hours each.
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate!

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

About the Course
Edureka's Deep learning with Tensorflow course will help you to learn the basic concepts of TensorFlow, the main functions, operations and the execution pipeline. Starting with a simple “Hello Word” example, throughout the course you will be able to see how TensorFlow can be used in curve fitting, regression, classification and minimization of error functions. This concept is then explored in the Deep Learning world. You will evaluate the common, and not so common, deep neural networks and see how these can be exploited in the real world with complex raw data using TensorFlow. In addition, you will learn how to apply TensorFlow for backpropagation to tune the weights and biases while the Neural Networks are being trained. Finally, the course covers different types of Deep Architectures, such as Convolutional Networks, Recurrent Networks and Autoencoders.

Delve into neural networks, implement Deep Learning algorithms, and explore layers of data abstraction with the help of this Deep Learning with TensorFlow course.


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

Who should go for this course?

The following professionals can go for this course:

1. Developers aspiring to be a 'Data Scientist'

2. Analytics Managers who are leading a team of analysts

3. Business Analysts who want to understand Deep Learning (ML) Techniques

4. Information Architects who want to gain expertise in Predictive Analytics

5. Professionals who want to captivate and analyze Big Data

6. Analysts wanting to understand Data Science methodologies

However, Deep learning is not just focused to one particular industry or skill set, it can be used by anyone to enhance their portfolio.

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

Why Learn Deep Learning With TensorFlow?
TensorFlow is one of the best libraries to implement Deep Learning. TensorFlow is a software library for numerical computation of mathematical expressions, using data flow graphs. Nodes in the graph represent mathematical operations, while the edges represent the multidimensional data arrays (tensors) that flow between them. It was created by Google and tailored for Machine Learning. In fact, it is being widely used to develop solutions with Deep Learning.


For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free).

Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka

A combination of Prompt Engineering and ChatGPT to learn the internals and technology behind large language models powering the new era of Artificial Intelligence.

A List of all prompts and keywords use in this video:
- https://github.com/prodramp/De....epWorks/blob/main/Ch

== Video Timeline ==
(00:00) Content Intro
(01:30) ChatGPT
(02:43) Transformer architecture
(09:10) Keywords Generation
(13:38) Text embedding
(17:43) Encoder and Decoder
(18:32) Self attention
(18:45) Multi-head self attention
(21:56) PyTorch Code Multi-head self attention
(23:37) Scaled Dot Product Attention
(27:45) Key deep learning methods
(28:53) Large language models
(29:49) LLM Parameter Count (Python Code)
(31:38) DALL-E large language model
(33:17) Key Differences DALL-E & ChatGPT
(34:20) List all Prompts
(34:40) ChatGPT Session Summary

Please visit:
https://prodramp.com | @prodramp
https://www.linkedin.com/company/prodramp

Content Creator:
Avkash Chauhan (@avkashchauhan)
https://www.linkedin.com/in/avkashchauhan

Tags:
#llm #chatgpt #promptengineering #openai #python #artificialintelligence

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 𝐂𝐨𝐮𝐫𝐬𝐞 - 𝐁𝐞𝐠𝐢𝐧𝐧𝐞𝐫𝐬 𝐭𝐨 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝: https://www.edureka.co/openai-....chatgpt-training-cou
In this Edureka video on “ ChatGPT4 vs ChatGPT 3.5” , you will learn about the new version of GPT model 4 against GPT 3.5., I aim to show you what is ChatGPT-4 and how it is going to change our world. What do you think about this new ChatGPT-4? Leave us a comment and let us know what you think of this video. We want to hear your thoughts. Below are the topics covered in this video:

00:00 Introduction
00:59 What makes ChatGPT 4 different?
01:10 1.Language Expertise
01:46 2. Data Organization
02:22 3.Consistency
02:48 4.Complicated Problem Solving
03:37 5.Understanding Images and Graphics
04:21 How to Install ChatGPT 4?


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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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🌕 Professional Certificate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT

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🌕 Artificial and Machine Learning PGD with E&ICT Academy
NIT Warangal: http://bit.ly/3OuZ3xs

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Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information.

A complete guide to the mathematics behind neural networks and backpropagation.

In this lecture, I aim to explain the mathematical phenomena, a combination of linear algebra and optimization, that underlie the most important algorithm in data science today: the feed forward neural network.

Through a plethora of examples, geometrical intuitions, and not-too-tedious proofs, I will guide you from understanding how backpropagation works in single neurons to entire networks, and why we need backpropagation anyways.

It's a long lecture, so I encourage you to segment out your learning time - get a notebook and take some notes, and see if you can prove the theorems yourself.

As for me: I'm Adam Dhalla, a high school student from Vancouver, BC. I'm interested in how we can use algorithms from computer science to gain intuition about natural systems and environments.

My website: adamdhalla.com
I write here a lot: adamdhalla.medium.com
Contact me: [email protected]

Two good sources I recommend to supplement this lecture:

Terence Parr and Jeremy Howard's The Matrix Calculus You Need for Deep Learning: https://arxiv.org/abs/1802.01528

Michael Nielsen's Online Book Neural Networks and Deep Learning, specifically the chapter on backpropagation http://neuralnetworksanddeeple....arning.com/chap2.htm

ERRATA----
I'm pretty sure the Jacobians part plays twice - skip it when you feel like stuff is repeating, and stop when you get to the part about the "Scalar Chain Rule" (00:24:00).

And, here are the timestamps for each chapter mentioned in the syllabus present at the beginning of the course.

PART I - Introduction
--------------------------------------------------------------
00:00:52 1.1 Prerequisites
00:02:47 1.2 Agenda
00:04:59 1.3 Notation
00:07:00 1.4 Big Picture
00:10:34 1.5 Matrix Calculus Review
00:10:34 1.5.1 Gradients
00:14:10 1.5.2 Jacobians
00:24:00 1.5.3 New Way of Seeing the Scalar Chain Rule
00:27:12 1.5.4 Jacobian Chain Rule

PART II - Forward Propagation
--------------------------------------------------------------
00:37:21 2.1 The Neuron Function
00:44:36 2.2 Weight and Bias Indexing
00:50:57 2.3 A Layer of Neurons

PART III - Derivatives of Neural Networks and Gradient Descent
--------------------------------------------------------------
01:10:36 3.1 Motivation & Cost Function
01:15:17 3.2 Differentiating a Neuron's Operations
01:15:20 3.2.1 Derivative of a Binary Elementwise Function
01:31:50 3.2.2 Derivative of a Hadamard Product
01:37:20 3.2.3 Derivative of a Scalar Expansion
01:47:47 3.2.4 Derivative of a Sum
01:54:44 3.3 Derivative of a Neuron's Activation
02:10:37 3.4 Derivative of the Cost for a Simple Network (w.r.t weights)
02:33:14 3.5 Understanding the Derivative of the Cost (w.r.t weights)
02:45:38 3.6 Differentiating w.r.t the Bias
02:56:54 3.7 Gradient Descent Intuition
03:08:55 3.8 Gradient Descent Algorithm and SGD
03:25:02 3.9 Finding Derivatives of an Entire Layer (and why it doesn't work well)

PART IV - Backpropagation
--------------------------------------------------------------
03:32:47 4.1 The Error of a Node
03:39:09 4.2 The Four Equations of Backpropagation
03:39:12 4.2.1 Equation 1: The Error of the last Layer
03:46:41 4.2.2 Equation 2: The Error of any layer
04:03:23 4.2.3 Equation 3: The Derivative of the Cost w.r.t any bias
04:10:55 4.2.4 Equation 4: The Derivative of the Cost w.r.t any weight
04:18:25 4.2.5 Vectorizing Equation 4
04:35:24 4.3 Tying Part III and Part IV together
04:44:18 4.4 The Backpropagation Algorithm
04:58:03 4.5 Looking Forward

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2 Alone Again (Naturally) - Gilbert O'Sullivan
3 American Pie - Don McLean
4 Without You - Harry Nilsson
5 The Candy Man - Sammy Davis, Jr.
6 I Gotcha - Joe Tex
7 Lean on Me - Bill Withers
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9 Brand New Key - Melanie
10 Daddy Don't You Walk So Fast - Wayne Newton
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14 Nice to Be with You - Gallery
15 My Ding-a-Ling - Chuck Berry
16 (If Loving You Is Wrong) I Don't Want to Be Right - Luther Ingram
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20 Ben - Michael Jackson
21 The Lion Sleeps Tonight - Robert John
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23 Slippin' Into Darkness - War
24 Long Cool Woman in a Black Dress - The Hollies
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28 Popcorn - Hot Butter
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30 Precious and Few - Climax

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43. Bachman–Turner Overdrive - Let It Ride
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46. The Osmonds - Love Me for a Reason
47. The Love Unlimited Orchestra - Love's Theme
48. Elton John - Lucy in the Sky with Diamonds
49. Electric Light Orchestra - Ma-Ma-Ma-Belle
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76. The Sweet - Teenage Rampage
77. The Hollies - The Air That I Breathe
78. Slade - The Bangin' Man
79. Elton John - The Bitch Is Back
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