To kickstart your business or online store with a free trial of Shopify, go to http://shopify.com/veritasium

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

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Huge thanks to Carlo Rovelli: https://t.co/FF5ohRQB8R
And Geraint Lewis: https://www.geraintflewis.com/

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Images and references:
Holographic wormhole, via Nature - https://ve42.co/Holographic

‘Did physicists create a wormhole in a quantum computer?’ by Davide Castelvecchi, via Nature - https://ve42.co/NatureWormhole

Traversable Holographic Wormhole by Sarag Wells, via Vice - https://ve42.co/ViceWormhole

‘Quantum teleportation opens a ‘wormhole in space–time’’ by Martijn Boerkamp, via Physics World - https://ve42.co/PWTeleportation

‘Physicists Create a Holographic Wormhole’ by Natalie Wolchover, via Quanta - https://ve42.co/QuantaWormhole

‘the Smallest, Crummiest Wormhole You Can Imagine’, via The New York Times - https://ve42.co/NYTWormhole

‘How Physicists Created a Holographic, via Quanta - https://ve42.co/QuantaYTWormhole

Quantum computer imagery, via Quantumai - https://ve42.co/Quantumai

‘Nuclear fusion breakthrough’, via Sky News - https://ve42.co/SkyWormhole

‘NASA scientist explains why images from new telescope astounded him’, via CNN on YouTube - https://ve42.co/CNNWormhole

‘Neutrino Faster Than Speed of Light’, via Associated Press - https://ve42.co/APWormhole

‘Michio Kaku on Quantum Computing’, via PowerfulJRE - https://ve42.co/JRE

AskScience AMA Series, via r/askscience on Reddit - https://ve42.co/ClimateAMA

‘Professor Andrei Linde celebrates physics breakthrough’, via Stanford - https://ve42.co/AndreiLinde

‘Gravitational waves turn to dust’ by Ian Sample, via The Guardian - https://ve42.co/Waves2Dust

‘The First Room-Temperature Ambient-Pressure Superconductor’, Sukbae Lee, Ji-Hoon Kim, Young-Wan Kwon, 2023, via arXiv - https://ve42.co/Superconductor

‘What's the buzz about LK-99?’, via Global News - https://ve42.co/GlobalLK99

Meissner effect, via @andrewmccalip on Twitter - https://ve42.co/Meissner

‘Will LK99 Superconductor CHANGE THE WORLD?’, via Breaking Points on YouTube - https://ve42.co/BreakingPoints

‘Superconductor Breakthroughs’, via WSJ - https://ve42.co/WSJSuperconductor

LK99 claims forum post, via Spacebattles - https://ve42.co/KL99Forum

Copper graph, via Handbook of Electromagnetic Materials - https://ve42.co/CopperGraph

LK-99 Superconductor ​showing levitation - https://ve42.co/Levitation

‘Unreliable social science research’ by Cathleen O’Grady, via Science - https://ve42.co/SocialScience

Tiny Neutrinos article by Dennis Overbye, via The NYT - https://ve42.co/NYTNeutrinos

‘The Crisis in Cosmology’ by Astrophysics in Process, via Medium - https://ve42.co/CosmoCrisis

‘Some scientists speak of a “crisis in cosmology.”’ by Adam Frank, via Big Think - https://ve42.co/BigThinkCosmo

‘Why is there a 'crisis' in cosmology?’ by Paul Sutter, via Space - https://ve42.co/SpaceCosmo

‘Breakthrough in nuclear fusion, via PBS NewsHour on YouTube - https://ve42.co/PBSBreakthrough

DOE National Lab press conference, via U.S. Department of Energy on YouTube - https://ve42.co/DOEPress

‘Nuclear fusion breakthrough’ by Catherine Clifford, via CNBC - https://ve42.co/CNBCFusion

‘US officials announce nuclear fusion breakthrough’, via CNN - https://ve42.co/CNNFusion

Nuclear fusion article, via CNN - https://ve42.co/CNNNuclear

Climate catastrophe article by Robin McKie, via The Guardian - https://ve42.co/GuardianClimate

Nuclear fusion article by Nicola Davis, via The Guardian - https://ve42.co/GuardianFusion

Fusion breakthrough article, via Imperial College London - https://ve42.co/ImperialFusion

Wednesday briefing by Archive Bland, via The Guardian - https://ve42.co/GuardianBriefing

Sky Sport News Bulletin, via Sky Sport NZ on YouTube - https://ve42.co/SkyBulletin

Alien Probe Ignored Us article by Ed Maz - https://ve42.co/AlienProbe

Attempts to scan the mysterious Oumuamua 'comet' article by Shivali Best, via MailOnline - https://ve42.co/Oumuamua

‘Have Aliens Found Us?’ by Isaac Chotiner - https://ve42.co/NYTAliens

▀▀▀
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Adam Foreman, Amadeo Bee, Anton Ragin, Balkrishna Heroor, Bernard McGee, Bill Linder, Burt Humburg, Chris Harper, 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

▀▀▀
Written by Derek Muller
Edited by Peter Nelson
Filmed by Derek Muller
Produced by Derek Muller

Additional video/photos supplied by Getty Images and Storyblocks
Music from Epidemic Sound
Thumbnail by Geoff Barrett

NASA have made a wheel capable of withstanding tough Martian terrain, but just how indestructible is it? Head to https://hensonshaving.com/veritasium and enter code 'Veritasium' for 100 free blades with the purchase of a razor. Make sure to add both the razor and the blades to your cart for the code to take effect.

▀▀▀
A huge thanks to everyone at NASA Glenn Research Center for having us at the SLOPE Lab, showing their work on this indestructible tire, and helping with the science and animation.
A huge thanks to everyone at Smart Tire Co for showing us around their facility, teaching us about nitinol, and letting us flatten their tires.

▀▀▀
References:

Steel Rod Footage - https://ve42.co/SteelRod

H. Föll. 8.4.1 - Martensite. University of Kiel, Faculty of Engineering - https://ve42.co/Foell

Bhattacharya, K. (1998). Theory of martensitic microstructure and the shape-memory effect - https://ve42.co/Bhattacharya1998

Bhattacharya, K. (2003). Microstructure of martensite: why it forms and how it gives rise to the shape-memory effect (Vol. 2). Oxford University Press. - https://ve42.co/MartensiteBook

Shaw, J. A. (2008). Tips and tricks for characterizing shape memory alloy wire: part 1—differential scanning calorimetry and basic phenomena. Experimental Techniques - https://ve42.co/Shaw2008

Buehler, W. J., Gilfrich, J. V., & Wiley, R. C. (1963). Effect of low‐temperature phase changes on the mechanical properties of alloys near composition TiNi. Journal of applied physics, 34(5), 1475-1477.

Kauffman, G. B., & Mayo, I. (1997). The story of nitinol: the serendipitous discovery of the memory metal and its applications. The chemical educator, 2, 1-21. - https://ve42.co/Kauffman1997

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Special thanks to our Patreon supporters:
Emil Abu Milad, Tj Steyn, meg noah, Bernard McGee, KeyWestr, Amadeo Bee, TTST, Balkrishna Heroor, John H. Austin, Jr., john kiehl, Anton Ragin, Benedikt Heinen, Diffbot, Gnare, Dave Kircher, Burt Humburg, Blake Byers, Evgeny Skvortsov, Meekay, Bill Linder, Paul Peijzel, Josh Hibschman, Mac Malkawi, Juan Benet, Ubiquity Ventures, Richard Sundvall, Lee Redden, Stephen Wilcox, Marinus Kuivenhoven, Michael Krugman, Cy ‘kkm’ K’Nelson, Sam Lutfi.

▀▀▀
Written by Derek Muller, Katie Barnshaw, & Emily Zhang
Edited by Trenton Oliver
Animated by Mike Radjabov & Ivy Tello
Coordinated by Emily Zhang
Filmed by Derek Muller, Emily Zhang & Raquel Nuno
Additional video/photos supplied by Getty Images & Pond5
Music from Epidemic Sound
Produced by Derek Muller, Petr Lebedev, & Emily Zhang
Thumbnail by Ignat Berbeci

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La transformación rápida de Fourier es usada en todas partes y tiene una fascinante historia de origen que pudo haber terminado la carrera por las armas nucleares. Este video es patrocinado por "80,000 Hours". Dirígete a http://80000hours.org/veritasium para suscribirte a su tablero de noticias y recibir una copia gratis de su guía de carreras a profundidad.

Muchas gracias al Dr. Richard Garwin por tomarse el tiempo de hablar con nosotros.
Gracias al Dr. Steve Brunton de la universidad de Washington por su ayuda en el entendimiento de la transformación rápida de Fourier.

gracias al Dr. Cliff Thurber de la Universidad de Wisconsin-Madison, Dr. Paul Richards de la Universidad de Columbia y al Dr. Steven Gibbons de Instituto Geotécnico de Noruega por su colaboración.

Referencias:

Kristensen, H.M., Korda, M. (2022). Status of World Nuclear Forces. Federation of American Scientists (FAS). https://ve42.co/Stockpile2022

Barth, K. H. (1998). Science and politics in early nuclear test ban negotiations. Physics Today, 51(3), 34-39. - https://ve42.co/Barth1998

Schmalberger, T. (1991). In pursuit of a nuclear test ban treaty - https://ve42.co/Schmalberger1991

Bowers, D., & Selby, N. D. (2009). Forensic seismology and the comprehensive nuclear-test-ban treaty. Annual Review of Earth and Planetary Sciences, 37, 209-236 - https://ve42.co/Bowers2009

Incorporated Research Institutions for Seismology (IRIS). (2022). How Often Do Earthquakes Occur? https://ve42.co/IRIS2022

Kimball, D. (2022). The Nuclear Testing Tally. Arms Control Association. https://ve42.co/TestTally2022

Kværna, T., & Ringdal, F. (2013). Detection capability of the seismic network of the International Monitoring System for the Comprehensive Nuclear Test Ban Treaty. Bulletin of the Seismological Society of America, 103(2A), 759-772 - https://ve42.co/Kvrna2013

Sykes, L. R., & Evernden, J. F. (1982). The verification of a comprehensive nuclear test ban. Scientific American, 247(4), 47-55 - https://ve42.co/Sykes1982

Peterson, J., & Hutt, C. R. (2014). World-wide standardized seismograph network: a data users guide (p. 82). US Department of the Interior, US Geological Survey. - https://ve42.co/Peterson2014

Richards, P. G., & Kim, W. Y. (2009). Monitoring for nuclear explosions. Scientific American, 300(3), 70-77 - https://ve42.co/Richards2009

Jacobsen, L. L., Fedorova, I., & Lajus, J. (2021). The seismograph as a diplomatic object: The Soviet–American exchange of instruments, 1958–1964. Centaurus, 63(2), 277-295 - https://ve42.co/Jacobsen2021

Schwartz S. I. (1998). The Hidden Costs Of Our Nuclear Arsenal: Overview Of Project Findings. The Brookings Institution - https://ve42.co/Schwartz1998

Ricón, J.L. (2016). The Soviet Union: Military Spending. Nintil - https://ve42.co/Nintil2016

Heideman, M. T., Johnson, D. H., & Burrus, C. S. (1985). Gauss and the history of the fast Fourier transform. Archive for history of exact sciences, 265-277 - https://ve42.co/Heideman1985

Ford, D. (2004). Richard Garwin - Session IV. American Institute of Physics (AIP). - https://ve42.co/Ford2004

Aaserud, F. (1986). Richard Garwin - Session I. American Institute of Physics (AIP). - https://ve42.co/Aaserud1986

Goldstein, A. (1997). James W. Cooley, an oral history. IEEE History Center, Piscataway, NJ, USA - https://ve42.co/Goldstein1997

Cooley, J., Garwin, R., Rader, C., Bogert, B., & Stockham, T. (1969). The 1968 Arden House workshop on fast Fourier transform processing. IEEE Transactions on Audio and Electroacoustics, 17(2), 66-76 - https://ve42.co/Cooley1969

Gracias a nuestros mecenas en Patreon:
Louis Lebbos, Elliot MIller, RayJ Johnson, Brian Busbee, Jerome Barakos M.D., Amadeo Bee, TTST, Balkrishna Heroor, Chris LaClair, John H. Austin, Jr., OnlineBookClub.org, Matthew Gonzalez, Eric Sexton, John Kiehl, Diffbot, Gnare, Dave Kircher, Burt Humburg, Blake Byers, Dumky, Evgeny Skvortsov, Meekay, Bill Linder, Paul Peijzel, Josh Hibschman, Mac Malkawi, Mike Schneider, John Bauer, jim buckmaster, Juan Benet, Sunil Nagaraj, Richard Sundvall, Lee Redden, Stephen Wilcox, Marinus Kuivenhoven, Michael Krugman, Cy 'kkm' K'Nelson, Sam Lutfi, Ron Neal.

Créditos:
Filmado por Derek Muller y Raquel Nuno
Animado por Ivy Tello, Jakub Misiek, Alex Drakoulis, and Fabio Albertelli
Editado por Albert Leung & Derek Muller
Asistente de investigación: Katie Barnshaw
Videos/fotos adicionales provistas por Pond5 y Getty Images
Música de Epidemic Sound
Produced by Derek Muller, Petr Lebedev, and Emily Zhang

Video en Inglés del Canal @Veritasium:https://www.youtube.com/watch?v=nmgFG7PUHfo

🕹 Este canal de Youtube es administrado por: https://www.unilingo.tv/
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In this video on How To Make PPT Using ChatGPT, learn the art of crafting engaging PowerPoint presentations effortlessly with ChatGPT's assistance. Discover two dynamic methods to elevate your presentation game. Dive into the first approach, where ChatGPT generates content based on your input, ensuring coherence and relevance. Then, explore the second method, employing ChatGPT's vast knowledge to refine your ideas and enhance the overall quality of your slides. From brainstorming to polishing, master the power of AI in PowerPoint creation.

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➡️ 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…

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🔥 Purdue Post Graduate Program In AI And Machine Learning: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=SupervisedvsUnsupervisedvsReinforcement&utm_medium=Descriptionff&utm_source=youtube
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🔥AI Engineer Masters Program (Discount Code - YTBE15): https://www.simplilearn.com/masters-in-artificial-intelligence?utm_campaign=SCE-AIMasters&utm_medium=DescriptionFF&utm_source=youtube
🔥AI & Machine Learning Bootcamp(US Only): https://www.simplilearn.com/ai-machine-learning-bootcamp?utm_campaign=SupervisedvsUnsupervisedvsReinforcement&utm_medium=Descriptionff&utm_source=youtube
In this video, you will learn about Supervised vs Unsupervised vs Reinforcement Learning. You will understand the definition of each of these learning techniques and look at the various algorithms that are part of these methods. You will see the approach and the learning methods used in the training process. Finally, you will learn the various applications of Supervised, Unsupervised, and Reinforcement Learning.

Below topics are explained in this video:
0:00 Introduction
0:29 Types of Machine Learning
0:42 Definitions
02:27 Algorithms
04:54 Applications

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#SupervisedvsUnsupervisedvsReinforcementLearning #TypesofMachineLearning #SupervisedLearning #UnsupervisedLearning #ReinforcementLearning #MachineLearningTutorial #MachineLearningTutorialForBeginners #MachineLearning #Simplilearn #MachineLearningCourse

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➡️ 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…

👉 Learn More At: 🔥 Purdue Post Graduate Program In AI And Machine Learning: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=SupervisedvsUnsupervisedvsReinforcement&utm_medium=Description&utm_source=youtube
🔥Professional Certificate Course In AI And Machine Learning by IIT Kanpur (India Only): https://www.simplilearn.com/iitk-professional-certificate-course-ai-machine-learning?utm_campaign=23AugustTubebuddyExpPCPAIandML&utm_medium=DescriptionFF&utm_source=youtube
🔥AI Engineer Masters Program (Discount Code - YTBE15): https://www.simplilearn.com/masters-in-artificial-intelligence?utm_campaign=SCE-AIMasters&utm_medium=DescriptionFF&utm_source=youtube
🔥AI & Machine Learning Bootcamp(US Only): https://www.simplilearn.com/ai-machine-learning-bootcamp?utm_campaign=SupervisedvsUnsupervisedvsReinforcement&utm_medium=Description&utm_source=youtube

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

Intellipaat Training courses: https://intellipaat.com/
Intellipaat is a global online professional training provider. We are offering some of the most updated, industry-designed certification training programs which includes courses in Big Data, Data Science, Artificial Intelligence and 150 other top trending technologies.
We help professionals make the right career decisions, choose the trainers with over a decade of industry experience, provide extensive hands-on projects, rigorously evaluate learner progress and offer industry-recognized certifications. We also assist corporate clients to upskill their workforce and keep them in sync with the changing technology and digital landscape.

#ChatbotusingPythonNLPandData Science #BuildYourOwnChatbot #chatbots #Chatbot #intellipaat

Following topics are covered in this session:
00:00:00 - Introduction to Chatbot using Python, NLP, and Data Science
00:02:08 - Brief on ChatBots
00:05:44 - Need of ChatBots
00:10:12 - Types of ChatBots
00:12:35 - Rule Based vs Self Learning ChatBots
00:17:01 - How a ChatBot Works?
00:19:08 - Creating Rule Based ChatBots
00:45:56 - ChatBot using Python, & ChatBot using Python & NLTK
00:50:39 - Steps Involved in Building ChatBot with Python and NLTK
00:54:09 - Tokenization, Stemming, Lemmatization
00:56:17 - Creating NLTK ChatBot in Python


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Intellipaat Edge
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6. Life time free Course Upgrade

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🔥PROMPT ENGINEERING WITH GENERATIVE AI: https://www.edureka.co/prompt-....engineering-generati
Explore the field of artificial intelligence through our Generative AI Tutorial. This video will break down the intricate workings of the generative AI model and give you useful information and pointers for utilizing generative AI in your projects, covering everything from the fundamentals of the technology to its applications, frameworks, and changing the landscape of industries. This course is a crucial place to start, whether you're a professional looking to implement AI-driven solutions or a newcomer excited to learn about AI's creative potential.

✅ 00:00 - Generative AI Tutorial
✅ 02:10 - Introduction to AI
✅ 02:48 - Working of AI
✅ 03:45 - What is Generative AI
✅ 05:00 - AI Prompt Writing
✅ 06:35 - Text-to-Text Generative AI
✅ 07:42 - Prompt Writing Rules
✅ 08:47 - ChatGPT-3.5
✅ 09:15 - ChatGPT-4
✅ 11:24 - Google Gemini
✅ 12:22 - Text-to-Image Generative AI
✅ 13:41 - DezGo
✅ 13:50- Hands-On Tutorial

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𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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🔵 DevOps Engineer Masters Program: http://bit.ly/3Oud9PC
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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬

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

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📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/

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

What is Prompt Engineering?

Prompt engineering involves optimizing artificial intelligence engineering for multiple purposes. It includes refining large language models (LLMs) using specific prompts and recommended outputs. Additionally, it focuses on enhancing input to different generative AI services to make text or images. With advancements in generative AI tools, prompt engineering becomes crucial for generating diverse content, such as robotic process automation bots, 3D assets, scripts, robot instructions, and various digital artifacts.
- - - - - - - - - - - - - -

What kinds of jobs can you get with Prompt Engineering skills?‎

Here are some potential job roles:

Machine Learning Engineer
Data Scientist
Natural Language Processing (NLP) Engineer
AI Research Scientist
Software Engineer (AI/ML)
Data Engineer
Content Generation Specialist
Conversational AI Developer
AI Product Manager
AI Ethicist

Remember that the job market and the demand for specific skills can change over time, so staying updated on industry trends and job postings is essential.

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

Who are the instructors for Prompt Engineering Course?

All the instructors at edureka are practitioners from the Industry with minimum 10-12 yrs of relevant IT experience. They are subject matter experts and are trained by edureka for providing an awesome learning experience to the participants.

For more information, please write back to us at sales@edureka.in or call us at IND: 9606058406 / US: +18338555775 (toll-free).

** Machine Learning Training with Python: https://www.edureka.co/data-sc....ience-python-certifi **
This "Top 10 Applications of Machine Learning in 2021" video will give you an idea of how vast the machine learning is and how commonly you are using it in your day to day life.
Topics covered in this session:
00:00 Introduction
00:33 Google Maps
02:01 Facebook
03:38 UberEats
05:15 Amazon
06:16 iPhone
07:52 Tesla
09:49 Netflix
10:32 Moley
11:43 Google Translate
12:43 Kuka

Check out our playlist for more videos: http://bit.ly/2taym8X

Subscribe to our channel to get video updates. Hit the subscribe button above.
#MachineLearningApplications #MachineLearningUsingPython #MachineLearningTraining

How it Works?
1. This is a 5 Week Instructor led Online Course,40 hours of assignment and 20 hours of project work
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 be working on a real-time project for which we will provide you a Grade and a Verifiable Certificate!


- - - - - - - - - - - - - - - - -
About the Course

Edureka’s Machine Learning Course using Python is designed to make you grab the concepts of Machine Learning. The Machine Learning training will provide deep understanding of Machine Learning and its mechanism. As a Data Scientist, you will be learning the importance of Machine Learning and its implementation in python programming language. Furthermore, you will be taught Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to automate real life scenarios using Machine Learning Algorithms. Towards the end of the course, we will be discussing various practical use cases of Machine Learning in python programming language to enhance your learning experience.

After completing this Machine Learning Certification Training using Python, you should be able to:
Gain insight into the 'Roles' played by a Machine Learning Engineer
Automate data analysis using python
Describe Machine Learning
Work with real-time data
Learn tools and techniques for predictive modeling
Discuss Machine Learning algorithms and their implementation
Validate Machine Learning algorithms
Explain Time Series and it’s related concepts
Gain expertise to handle business in future, living the present

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

Why learn Machine Learning with Python?

Data Science is a set of techniques that enable the computers to learn the desired behavior from data without explicitly being programmed. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science. This course exposes you to different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. This course imparts you the necessary skills like data pre-processing, dimensional reduction, model evaluation and also exposes you to different machine learning algorithms like regression, clustering, decision trees, random forest, Naive Bayes and Q-Learning.

For more information, Please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll free)

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🔥Machine Learning Training with Python: https://www.edureka.co/machine....-learning-certificat

This Edureka video on Random Forest in Machine Learning explains the concept of the Random Forest algorithm in Python and how is it used.

🔹Check out our Playlist: http://bit.ly/2taym8X
🔹Blog Series: https://bit.ly/2PX5lIp
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------------------------------------Edureka Online Training and Certification---------------------------------

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🟣 Selenium Online Training: https://bit.ly/3dIrh43
🔵 PMP Online Training: https://bit.ly/3dJxMTW
🟣 Tableau Online Training: https://bit.ly/3g784KJ

-----------------------------------------Edureka Masters Programs---------------------------------------------------

🔵DevOps Engineer Masters Program: https://bit.ly/2B9tZCp
🟣Cloud Architect Masters Program: https://bit.ly/3i9z0eJ
🔵Data Scientist Masters Program: https://bit.ly/2YHaolS
🟣Big Data Architect Masters Program: https://bit.ly/31qrOVv
🔵Machine Learning Engineer Masters Program: https://bit.ly/388NXJi
🟣Business Intelligence Masters Program: https://bit.ly/2BPLtn2
🔵Python Developer Masters Program: https://bit.ly/2Vn7tgb
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---------------------------------------Edureka Post Graduate Courses-------------------------------------------

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

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

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#Edureka #PythonEdureka #RandomForestAlgorithm #pythonMachineLearning #pythonTraining #Python

------------------------------------------------------------------
How it Works?
1. This is a 5 Week Instructor led Online Course,40 hours of assignment and 20 hours of project work
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 be working on a real time project for which we will provide you a Grade and a Verifiable Certificate!

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

About the Course :

Edureka’s Machine Learning Course using Python is designed to make you grab the concepts of Machine Learning. The Machine Learning training will provide deep understanding of Machine Learning and its mechanism. As a Data Scientist, you will be learning the importance of Machine Learning and its implementation in python programming language. Furthermore, you will be taught of Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to automate real life scenarios using Machine Learning Algorithms. Towards the end of the course we will be discussing various practical use cases of Machine Learning in python programming language to enhance your learning experience.
--------------------------------------
Why Learn Machine Learning with Python?

Data Science is a set of techniques that enables the computers to learn the desired behavior from data without explicitly being programmed. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science. This course exposes you to different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. This course imparts you the necessary skills like data pre-processing, dimensional reduction, model evaluation and also exposes you to different machine learning algorithms like regression, clustering, decision trees, random forest, Naive Bayes and Q-Learning.
--------------------------------------------------------------------

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

For more information, please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll-free)

🔥Edureka *** Machine Learning Certification Training - https://www.edureka.co/machine....-learning-certificat ***
This Edureka video on "Clustering Algorithms" will help you understand the various aspects of clustering using K Means in Python.
00:00 Introduction
00:38 Agenda
01:22 What is Amazon SageMaker
04:26 Create your AWS Account
06:54 Create your First Notebook Instance
13:04 Download & Explore Dataset
17:48 Train your Model
24:42 Deploy your Model
26:55 Evaluate your Model
29:07 Case Study

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------------------------------------Edureka Online Training and Certification---------------------------------

🔵 DevOps Online Training: https://bit.ly/2BPwXf0
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🔵 AWS Online Training: https://bit.ly/2ZnbW3s
🟣 RPA Online Training: https://bit.ly/2Zd0ac0
🔵 Data Science Online Training: https://bit.ly/2NCT239
🟣 Big Data Online Training: https://bit.ly/3g8zksu
🔵 Java Online Training: https://bit.ly/31rxJcY
🟣 Selenium Online Training: https://bit.ly/3dIrh43
🔵 PMP Online Training: https://bit.ly/3dJxMTW
🟣 Tableau Online Training: https://bit.ly/3g784KJ

-----------------------------------------Edureka Masters Programs---------------------------------------------------

🔵DevOps Engineer Masters Program: https://bit.ly/2B9tZCp
🟣Cloud Architect Masters Program: https://bit.ly/3i9z0eJ
🔵Data Scientist Masters Program: https://bit.ly/2YHaolS
🟣Big Data Architect Masters Program: https://bit.ly/31qrOVv
🔵Machine Learning Engineer Masters Program: https://bit.ly/388NXJi
🟣Business Intelligence Masters Program: https://bit.ly/2BPLtn2
🔵Python Developer Masters Program: https://bit.ly/2Vn7tgb
🟣RPA Developer Masters Program: https://bit.ly/3eHwPNf

-----------------------------------------Edureka PGD Courses---------------------------------------------------

🔵Artificial Intelligence and Machine Learning PGD: https://bit.ly/2Ziy7b1

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

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#Edureka #DataScienceEdureka #kmeans #clusteranalysis #clustering #datascience #machinelearning #learnDataScience #withMe
- - - - - - - - - - - - - - - - -
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 online Data Science training write to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll free).

🔥Edureka Python Certification Training: https://www.edureka.co/machine....-learning-certificat
This Edureka video on 'Support Vector Machine Tutorial' covers A brief introduction to Support Vector Machine in Python with a use case to implement SVM using Python.

🔷🔸About the Speaker🔸🔷
Name: Dr. Rajesh Kumar
Details:
◾Data Science Head at SCG Chemicals
◾Ex - Ernst & Young, Ex-Intel, Ex - Mercedes Benz
◾16 years of experience spanning across IT Services, Petrochemicals, Hi-Tech, Business Consulting, Supply Chain, and Automotive Industries.
◾A Ph.D. holder from the Indian Institute of Science
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How it Works?
1. This is a 5 Week Instructor-led Online Course,40 hours of assignment and 20 hours of project work
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 be working on a real-time project for which we will provide you a Grade and a Verifiable Certificate!

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About the Course

Edureka's Python Online Certification Training will make you an expert in Python programming. It will also help you learn Python the Big data way with integration of Machine learning, Pig, Hive and Web Scraping through beautiful soup. During our Python Certification training, our instructors will help you:

1. Master the Basic and Advanced Concepts of Python
2. Understand Python Scripts on UNIX/Windows, Python Editors and IDEs
3. Master the Concepts of Sequences and File operations
4. Learn how to use and create functions, sorting different elements, Lambda function, error handling techniques and Regular expressions ans using modules in Python
5. Gain expertise in machine learning using Python and build a Real Life Machine Learning application
6. Understand the supervised and unsupervised learning and concepts of Scikit-Learn
7. Master the concepts of MapReduce in Hadoop
8. Learn to write Complex MapReduce programs
9. Understand what is PIG and HIVE, Streaming feature in Hadoop, MapReduce job running with Python
10. Implementing a PIG UDF in Python, Writing a HIVE UDF in Python, Pydoop and/Or MRjob Basics
11. Master the concepts of Web scraping in Python
12. Work on a Real Life Project on Big Data Analytics using Python and gain Hands on Project Experience
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Why learn Python?

Programmers love Python because of how fast and easy it is to use. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging your programs is a breeze in Python with its built in debugger. Using Python makes Programmers more productive and their programs ultimately better. Python continues to be a favorite option for data scientists who use it for building and using Machine learning applications and other scientific computations.
Python runs on Windows, Linux/Unix, Mac OS and has been ported to Java and .NET virtual machines. Python is free to use, even for the commercial products, because of its OSI-approved open source license.
Python has evolved as the most preferred Language for Data Analytics and the increasing search trends on python also indicates that Python is the next "Big Thing" and a must for Professionals in the Data Analytics domain.

Who should go for python?

Edureka’s Data Science certification course in Python is a good fit for the below professionals:


· Programmers, Developers, Technical Leads, Architects
· Developers aspiring to be a ‘Machine Learning Engineer'
· Analytics Managers who are leading a team of analysts
· Business Analysts who want to understand Machine Learning (ML) Techniques
· Information Architects who want to gain expertise in Predictive Analytics
· 'Python' professionals who want to design automatic predictive models


For more information, Please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll free)

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🔥AI & Machine Learning Bootcamp(US Only): https://www.simplilearn.com/ai-machine-learning-bootcamp?utm_campaign=Top10MachineLearningApplications-HKcO3-6TYr0&utm_medium=Descriptionff&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=Top10MachineLearningApplications-HKcO3-6TYr0&utm_medium=Descriptionff&utm_source=youtube

This video on Top 10 applications of machine learningwill explain some of the applications of Machine Learning which we come across in everyday life. Machine learning is starting to reshape how we live and it has become a part of our lives. We are already seeing how this technology is being implemented in a wide variety of industries.

Top 10 Certifications for 2021: https://youtu.be/W-9jIVm0-p8

Below are the Top 10 applications of Machine Learningthat were discussed in this video.
00:00 - 00:13 Introduction
00:13 - 00:49 Virtual personal assistants
00:49 - 02:10 Traffic predictions
02:10 - 02:38 Social media personalization
02:38 - 03:11 Email spam filtering
03:11 - 03:48 Online fraud detection
03:48 - 04:05 Stock market trading
04:05 - 05:22 Assistive medical technology

Subscribe to our channel for more Machine Learning Tutorials: https://www.youtube.com/user/S....implilearn?sub_confi

For a more detailed understanding of Applications of Machine Learning, do visit: https://bit.ly/2DEq94U
You will find in-depth content on Machine Learning. Browse further to discover similar resources on related topics, made available to you as a learning path. Enjoy top-quality learning for FREE.

You can also go through the slides here: https://goo.gl/bJMY8a

Watch more videos on Machine Learning: https://www.youtube.com/watch?v=7JhjINPwfYQ&list=PLEiEAq2VkUULYYgj13YHUWmRePqiu8Ddy

#MachineLearningApplications #MachineLearningUsingPython #MachineLearningTraining
#MachineLearningAlgorithms #Datasciencecourse #DataScience #SimplilearnMachineLearning #MachineLearningCourse

➡️ Professional Certificate Program In AI And Machine Learning
In collaboration with Purdue, our AI and ML Course will help you unlock your AI and ML potential. You'll study Machine Learning, Deep Learning, Computer Vision, NLP, Speech Recognition, and Reinforcement Learning with Simplilearn's AI ML course online.

✅ Key Features
- Professional Certificate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 8X higher live interaction in live online classes by industry experts
- 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 help

✅ Skills Covered
- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- NLP
- Neural Networks
- Computer Vision
- GANs
- Keras
- Tensorflow
- Reinforcement Learning
- Speech Recognition
- Recommendation Systems
- Ensemble Learning
- NumPy

👉 Learn More at: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=Top10MachineLearningApplications-HKcO3-6TYr0&utm_medium=Description&utm_source=youtube

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

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🔥Purdue - Post Graduate Program in Data Analytics - https://www.simplilearn.com/pgp-data-analytics-certification-training-course?utm_campaign=HtHEDuhX8J8&utm_medium=DescriptionFirstFold&utm_source=Youtube
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We will first begin with an Introduction to Big Data, setting the foundation for understanding large data sets. Next, we’ll dive into Introduction to Business Intelligence, followed by a focused Introduction to Power BI. Moving ahead, we’ll cover Top BI Terms Every Data Analyst Should Know, giving you a strong grasp of essential concepts. Then, we’ll explore Power BI Basics and learn How to Create a Power BI Dashboard, before advancing to Data Transformation Tutorial using Power Query. After that, we will practice How to Build a Daily Activity Tracker in Excel and understand How to Use Microsoft Power Query for seamless data handling. The course will further introduce SQL with an emphasis on SQL Common Table Expressions (CTE) and practical SQL Projects for Data Analysis. Lastly, we’ll explore the integration of Data Analytics Using AI tools like ChatGPT with Excel and finish by preparing for the field with Power BI Interview Questions.
here are the topics covered in this Power BI full course:

00:00:00 Introduction to Power BI Full course
00:04:02 Introduction to Big Data
00:09:14 Introduction to Power BI
00:15:09 Power BI Introduction
00:15:58 Top BI Terms every data analyst know
00:30:41 Introduction to Business Intelligence
00:44:38 How Create PowerBI Dashboard
00:52:56 Data Analyst Roadmap
06:36:08 Power BI Basics
06:51:14 How to build a Daily Activity Tracker in Excel
07:12:38 How to use microsoft power query
07:28:59 Data Transformation tutorial
07:44:36 Chatgpt and Excel with Data Analytics
07:47:53 Introduction to SQL
07:59:48 SQL CTE
07:59:58 DA using AI
09:25:40 SQL Project for data analysis
09:53:19 Power BI Interview Questions

✅ what is power bi
Microsoft Power BI is an interactive data visualization software product developed by Microsoft with a primary focus on business intelligence. It is part of the Microsoft Power Platform.

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

⏩ Check out the Data Analytics training videos: https://youtube.com/playlist?l....ist=PLEiEAq2VkUUKnB4

#powerbi #powerbiforbeginners #powerbitips #powerbicourse #datanalytics #simplilearn #2024

➡️ About Post Graduate Program In Data Analytics
This Data Analytics Program is ideal for all working professionals and prior programming knowledge is not required. It covers topics like data analysis, data visualization, regression techniques, and supervised learning in-depth via our applied learning model with live sessions by leading practitioners and industry projects.

✅ Key Features
- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 8X higher live interaction in live online classes by industry experts
- Capstone from 3 domains and 14+ Data Analytics Projects with Industry datasets from Google PlayStore, Lyft, World Bank etc.
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Resume preparation and LinkedIn profile building
- 1:1 mock interview
- Career accelerator webinars

✅ Skills Covered
- Data Analytics
- Statistical Analysis using Excel
- Data Analysis Python and R
- Data Visualization Tableau and Power BI
- Linear and logistic regression modules
- Clustering using kmeans
- Supervised Learning

👉 Learn More At: https://www.simplilearn.com/post-graduate-program-data-science?utm_campaign=HtHEDuhX8J8&utm_medium=Description&utm_source=youtube

🔥 PMP Certification Training Course: https://www.edureka.co/pmp-cer....tification-exam-trai
🔥 PRINCE2® Foundation & Practitioner Certification Course: https://www.edureka.co/prince2....-foundation-and-prac

In this video, on *PMP vs PRINCE2* , we will dive deep into the project management certifications by comparing two of the most sought-after credentials: *PMP* (Project Management Professional) and *PRINCE2* (Projects IN Controlled Environments). If you're considering advancing your career in project management, understanding the differences between *PMP vs PRINCE2* is essential. We’ll explore the key differences between these certifications, including their frameworks, benefits, and how they fit into different project management methodologies. Additionally, we will cover the exam details and eligibility criteria for both certifications. Whether you’re a seasoned project manager or just starting your career, this video will help you understand which certification is right for you.

✅ 00:00 - PMP vs PRINCE2
✅ 01:41 - What is a PMP Certification?
✅ 02:10 - What is a PRINCE2 Certification?
✅ 02:39 - Key Differences Between PMP vs. PRINCE2 Certifications
✅ 07:52 - What is the cost of PMP Certification?
✅ 08:15 - What is the cost of PRINCE2 Certification?
✅ 08:38 - Purchase Option for Preparing for the PRINCE2 Exam in India
✅ 09:39 - Benefits of PMP Certification
✅ 10:37 - Benefits of PRINCE2 Certification

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📝Feel free to share your comments below.📝

𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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🔵 Python Online Training: http://bit.ly/3Oubt8M
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🔴 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
🔵 Machine Learning Engineer Masters Program: http://bit.ly/3AEq4c4
🌕 Business Intelligence Masters Program: http://bit.ly/3UZPqJz
🔵 Python Developer Masters Program: http://bit.ly/3EV6kDv

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What is a PMP certification?

A PMP certification, provided by the Project Management Institute (PMI), validates and elevates project managers' expertise and abilities. It showcases mastery in project management principles, top practices, and methodologies and is worldwide recognized as a testament to proficiency in the industry.

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Who should go for this course?

Project managers aim to enhance their skills.
Professionals aspiring to become project managers.
Individuals were seeking validation of their project management expertise.

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The concise prerequisites for the PMP Course:

Complete 35 hours of formal project management education through online training.
Obtain PMP certification by demonstrating either 4,500 hours of project leadership (with a four-year degree) or 7,500 hours (with a secondary diploma).
This ensures a mix of education and practical experience for certification.

For more information, please write back to us at sales@edureka.in or call us at IND: 9606058406 / US & Others: +18885487823 (toll-free)

#pmpvsprince2 #pmp #prince2 #projectmanagement #projectmanagementcertification #projectmanagementtraining #BestCertifications