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📝Feel free to share your comments below.📝

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𝐄𝐝𝐮𝐫𝐞𝐤𝐚'𝐬 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐌𝐚𝐬𝐭𝐞𝐫𝐬 𝐩𝐫𝐨𝐠𝐫𝐚𝐦: https://www.edureka.co/masters....-program/data-scient
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This Edureka Data Science Full Course video will help you understand and learn Data Science Algorithms in detail. This Data Science Tutorial is ideal for both beginners as well as professionals who want to master Data Science Algorithms.

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

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

📝Feel free to share your comments below.📝

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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

Will truth and reason survive the evolution of artificial intelligence? AI researcher Gary Marcus says no, not if untrustworthy technology continues to be integrated into our lives at such dangerously high speeds. He advocates for an urgent reevaluation of whether we're building reliable systems (or misinformation machines), explores the failures of today's AI and calls for a global, nonprofit organization to regulate the tech for the sake of democracy and our collective future. (Followed by a Q&A with head of TED Chris Anderson)

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One of the most important, yet least understood, concepts in all of physics. 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.

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A huge thank you to those who helped us understand different aspects of this complicated topic - Dr. Ashmeet Singh, Supriya Krishnamurthy, Dr. Jos Thijssen, Dr. Bijoy Bera, Dr. Timon Idema, Álvaro Bermejillo Seco and Dr. Misha Titov.

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References:
Carnot, S. (1824). Reflections on the motive power of heat: and on machines fitted to develop that power. - https://ve42.co/Carnot1890

Harnessing The True Power Of Atoms | Order And Disorder Documentaries, Spark via YouTube - https://ve42.co/OrderDisorder

A better description of entropy, Steve Mould via YouTube - https://ve42.co/Mould2016

Dugdale, J. S. (1996). Entropy and its physical meaning. CRC Press. - https://ve42.co/Dugdale1996

Schroeder, D. V. (1999). An introduction to thermal physics. - https://ve42.co/Schroeder2021

Fowler, M. Heat Engines: the Carnot Cycle, University of Virginia. - https://ve42.co/Fowler2023

Chandler, D.L. (2010). Explained: The Carnot Limit, MIT News - https://ve42.co/Chandler2010

Entropy, Wikipedia - https://ve42.co/EntropyWiki

Clausius, R. (1867). The mechanical theory of heat. Van Voorst. - https://ve42.co/Clausius1867

What is entropy? TED-Ed via YouTube - https://ve42.co/Phillips2017

Thijssen, J. (2018) Lecture Notes Statistical Physics, TU Delft.

Schneider, E. D., & Kay, J. J. (1994). Life as a manifestation of the second law of thermodynamics. Mathematical and computer modelling, 19(6-8), 25-48. - https://ve42.co/Schneider1994

Lineweaver, C. H., & Egan, C. A. (2008). Life, gravity and the second law of thermodynamics. Physics of Life Reviews, 5(4), 225-242. - https://ve42.co/Lineweaver2008

Michaelian, K. (2012). HESS Opinions" Biological catalysis of the hydrological cycle: life's thermodynamic function". Hydrology and Earth System Sciences, 16(8), 2629-2645. - https://ve42.co/Michaelian2012

England, J. L. (2013). Statistical physics of self-replication. The Journal of chemical physics, 139(12), 09B623_1. - https://ve42.co/England2013

England, J. L. (2015). Dissipative adaptation in driven self-assembly. Nature nanotechnology, 10(11), 919-923. - https://ve42.co/England2015

Wolchover, N. (2014). A New Physics Theory of Life, Quantamagazine - https://ve42.co/Wolchover2014

Lineweaver, C. H. (2013). The entropy of the universe and the maximum entropy production principle. In Beyond the Second Law: Entropy Production and Non-equilibrium Systems (pp. 415-427). Berlin, Heidelberg: Springer Berlin Heidelberg. - https://ve42.co/LineweaverEntropy

Bekenstein, J.D. (1972). Black holes and the second law. Lett. Nuovo Cimento 4, 737–740. - https://ve42.co/Bekenstein1972

Carroll, S.M. (2022). The Biggest Ideas in the Universe: Space, Time, and Motion. Penguin Publishing Group. - https://ve42.co/Carroll2022

Black hole thermodynamics, Wikipedia - https://ve42.co/BlackHoleTD

Cosmology and the arrow of time: Sean Carroll at TEDxCaltech, TEDx Talks via YouTube - https://ve42.co/CarrollTEDx

Carroll, S. M. (2008). The cosmic origins of time’s arrow. Scientific American, 298(6), 48-57. - https://ve42.co/Carroll2008

The Passage of Time and the Meaning of Life | Sean Carroll (Talk + Q&A), Long Now Foundation via YouTube - https://ve42.co/CarrollLNF

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Written by Casper Mebius, Derek Muller & Petr Lebedev
Edited by Trenton Oliver & Jamie MacLeod
Animated by Mike Radjabov, Ivy Tello, Fabio Albertelli and Jakub Misiek
Filmed by Derek Muller, Albert Leung & Raquel Nuno
Molecular collisions video by CSIRO's Data61 via YouTube: Simulation of air
Additional video/photos supplied by Getty Images, Pond5 and by courtesy of NASA, NASA's Goddard Space Flight Center, NASA Goddard Flight Lab/ CI Lab, NASA/SDO and the AIA, EVE, HMI, and WMAP science teams. As well as the Advanced Visualization Laboratory at the National Center for Supercomputing Applications, B. Robertson, L. Hernquist
Music from Epidemic Sound & Jonny Hyman
Produced by Derek Muller, Petr Lebedev, Emily Zhang, & Casper Mebius

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Welcome to a captivating journey into the future! In this video, we'll explore the Top 10 Future Technologies that are poised to revolutionize the way we live, work, and interact with the world. From groundbreaking advancements in artificial intelligence to mind-boggling innovations in biotechnology, join us as we unveil the cutting-edge technologies that will shape the next era of human progress. Fasten your seatbelts as we embark on a thrilling exploration of the tech wonders that await us in the not-so-distant future.

00:00 Top 10 Future Technologies For 2024
Edge Computing
Quantum Computing
Artificial Intelligence in Cybersecurity
Blockchain Beyond Cryptocurrency
5G Networks and IoT
Augmented Reality (AR) for Business
Cybersecurity for AI and IoT
Robotic Process Automation (RPA)
Cybersecurity for Quantum Computing
Artificial General Intelligence (AGI)

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

#Top10FutureTechnologies2024 #FutureTechnology #TopFutureTechnologies #Simplilearn #TrendingTechnology2022 #EdgeComputing #QuantumComputing
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▶️ Watch Trending Videos 2024: https://youtube.com/playlist?list=PLEiEAq2VkUUIDAxCy4_VU5H_vvscim_D-&si=8Ec_O0tP8iNUi90q

- Artificial Intelligence in Cybersecurity
In 2024, AI defenses will combat sophisticated cyber threats in real time, safeguarding data and privacy. Beyond detecting known threats, machine learning adapts to new dangers, analyzing vast datasets for patterns and anomalies.

- Blockchain Beyond Cryptocurrency
Blockchain evolves beyond cryptocurrencies in 2024. It secures supply chains, authenticates digital identities, and transforms transactions. Its transparency disrupts industries, ensuring traceable supply chains and secure service access.
🔥Professional Certificate Program In Blockchain (India Only): https://www.simplilearn.com/blockchain-certification-training-course?utm_campaign=4Jan2024Top10FutureTechnologies2024&utm_medium=Descriptions&utm_source=youtube

- Augmented Reality (AR) for Business
AR transforms industries in 2024. Picture engineers visualizing machinery and surgeons enhancing precision with AR. It blurs physical-digital lines, offering step-by-step instructions in manufacturing and 3D anatomy models for precise surgeries in healthcare.

- Cybersecurity for AI and IoT
2024 brings focused cybersecurity for AI and IoT integration. Solutions will safeguard against AI algorithm vulnerabilities and protect IoT ecosystems from potential cyber threats.
🔥 Become Cyber Security Expert Today: https://www.simplilearn.com/pgp-cyber-security-certification-training-course?utm_campaign=4Jan2024Top10FutureTechnologies2024&utm_medium=Descriptions&utm_source=youtube

- Robotic Process Automation (RPA)
Bronze to Robotic Process Automation (RPA), the 2024 IT game-changer. It automates tasks, letting employees focus on creative work. RPA bots handle data entry to customer service, boosting efficiency across industries.

- Cybersecurity for Quantum Computing
At 2, cybersecurity adapts to quantum threats in 2024. Quantum-safe encryption and protocols emerge to safeguard data in the quantum computing era, countering the risk posed by traditional encryption vulnerabilities.

- Artificial General Intelligence (AGI)
2024's game-changer is Artificial General Intelligence (AGI). Revolutionizing industries from healthcare to finance, AGI automates complex decision-making, representing a monumental leap beyond specialized AI. Integration into various sectors, from healthcare diagnostics to financial analysis, is on the horizon.
🔥 Purdue Post Graduate Program In AI And Machine Learning: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=4Jan2024Top10FutureTechnologies2024&utm_medium=Descriptions&utm_source=youtube
🔥🔥 *Interested in Attending Live Classes? Call Us:* IN - 18002127688 / US - +18445327688
👉 Listen to what millions of users say about our courses! https://www.simplilearn.com/reviews?utm_campaign=4Jan2024Top10FutureTechnologies2024&utm_medium=Description&utm_source=youtube

🔥Machine Learning Training with Python: https://www.edureka.co/machine....-learning-certificat
This Edureka video on "Deploy an ML Model using Amazon Sagemaker" discusses what is Amazon Sagemaker and how you can build, train and deploy your Machine Learning Models in Amazon Sagemaker.

🔹Check Edureka's complete DevOps playlist here: http://goo.gl/O2vo13
🔹Check Edureka's Blog playlist here: https://bit.ly/3gfNuZr

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

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

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LinkedIn: https://www.linkedin.com/company/edureka
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Castbox: https://castbox.fm/networks/505?country=in
Meetup: https://www.meetup.com/edureka/


#Edureka #DeployAnMlModelUsingAmazonSagemaker #AWSTutorial #AWSCertification #AWSTraining #AWSMachineLearning #AWSMLDeployment #MachineLearningOnCloud #CloudComputing #AWS
--------------------------------------------------------------------------------------------
How it Works?
1. This is a 5 Week Instructor led Online Course.
2. Course consists of 30 hours of online classes, 30 hours of assignment, 20 hours of project
3. 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.
4. You will get Lifetime Access to the recordings in the LMS.
5. 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

AWS Architect Certification Training from Edureka is designed to provide in depth knowledge about Amazon AWS architectural principles and its components. The sessions will be conducted by Industry practitioners who will train you to leverage AWS services to make the AWS cloud infrastructure scalable, reliable, and highly available. This course is completely aligned to AWS Architect Certification - Associate Level exam conducted by Amazon Web Services.

During this AWS Architect Online training, you'll learn:
1. AWS Architecture and different models of Cloud Computing
2. Compute Services: Amazon EC2, Auto Scaling and Load Balancing, AWS Lambda, Elastic Beanstalk
3. Amazon Storage Services : EBS, S3 AWS, Glacier, CloudFront, Snowball, Storage Gateway
4. Database Services: RDS, DynamoDB, ElastiCache, RedShift
5. Security and Identity Services: IAM, KMS
6. Networking Services: Amazon VPC, Route 53, Direct Connect
7. Management Tools: CloudTrail, CloudWatch, CloudFormation, OpsWorks, Trusty Advisor
8. Application Services: SES, SNS, SQS

Course Objectives

On completion of the AWS Architect Certification training, learner will be able to:
1. Design and deploy scalable, highly available, and fault tolerant systems on AWS
2. Understand lift and shift of an existing on-premises application to AWS
3. Ingress and egress of data to and from AWS
4. Identifying appropriate use of AWS architectural best practices
5. Estimating AWS costs and identifying cost control mechanisms

Pre-requisites

There are no specific prerequisites for this course. Any professional who has an understanding of IT Service Management can join this training. There is no programming knowledge needed and no prior AWS experience required.

If you are looking for live online training, write back to us at [email protected] or call us at US: + 18338555775 (Toll-Free) or India: +91 9606058406 for more information.

🔥Machine Learning Training with Python: https://www.edureka.co/machine....-learning-certificat
This Edureka video on "Deploy an ML Model using Amazon Sagemaker" discusses what is Amazon Sagemaker and how you can build, train and deploy your Machine Learning Models in Amazon Sagemaker.

🔹Check Edureka's complete DevOps playlist here: http://goo.gl/O2vo13
🔹Check Edureka's Blog playlist here: https://bit.ly/3gfNuZr

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


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

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

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LinkedIn: https://www.linkedin.com/company/edureka
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SlideShare: https://www.slideshare.net/EdurekaIN
Castbox: https://castbox.fm/networks/505?country=in
Meetup: https://www.meetup.com/edureka/


#Edureka #DeployAnMlModelUsingAmazonSagemaker #AWSTutorial #AWSCertification #AWSTraining #AWSMachineLearning #AWSMLDeployment #MachineLearningOnCloud #CloudComputing #AWS
--------------------------------------------------------------------------------------------
How it Works?
1. This is a 5 Week Instructor led Online Course.
2. Course consists of 30 hours of online classes, 30 hours of assignment, 20 hours of project
3. 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.
4. You will get Lifetime Access to the recordings in the LMS.
5. 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

AWS Architect Certification Training from Edureka is designed to provide in depth knowledge about Amazon AWS architectural principles and its components. The sessions will be conducted by Industry practitioners who will train you to leverage AWS services to make the AWS cloud infrastructure scalable, reliable, and highly available. This course is completely aligned to AWS Architect Certification - Associate Level exam conducted by Amazon Web Services.

During this AWS Architect Online training, you'll learn:
1. AWS Architecture and different models of Cloud Computing
2. Compute Services: Amazon EC2, Auto Scaling and Load Balancing, AWS Lambda, Elastic Beanstalk
3. Amazon Storage Services : EBS, S3 AWS, Glacier, CloudFront, Snowball, Storage Gateway
4. Database Services: RDS, DynamoDB, ElastiCache, RedShift
5. Security and Identity Services: IAM, KMS
6. Networking Services: Amazon VPC, Route 53, Direct Connect
7. Management Tools: CloudTrail, CloudWatch, CloudFormation, OpsWorks, Trusty Advisor
8. Application Services: SES, SNS, SQS

Course Objectives

On completion of the AWS Architect Certification training, learner will be able to:
1. Design and deploy scalable, highly available, and fault tolerant systems on AWS
2. Understand lift and shift of an existing on-premises application to AWS
3. Ingress and egress of data to and from AWS
4. Identifying appropriate use of AWS architectural best practices
5. Estimating AWS costs and identifying cost control mechanisms

Pre-requisites

There are no specific prerequisites for this course. Any professional who has an understanding of IT Service Management can join this training. There is no programming knowledge needed and no prior AWS experience required.

If you are looking for live online training, write back to us at [email protected] or call us at US: + 18338555775 (Toll-Free) or India: +91 9606058406 for more information.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

For more information about Stanford's online Artificial Intelligence programs visit: https://stanford.io/ai

To learn more about enrolling in this course visit: https://online.stanford.edu/co....urses/cs336-language

To follow along with the course schedule and syllabus visit: https://stanford-cs336.github.io/spring2025/

Percy Liang
Associate Professor of Computer Science
Director of Center for Research on Foundation Models (CRFM)

Tatsunori Hashimoto
Assistant Professor of Computer Science
For more information about Stanford's online Artificial Intelligence programs visit: https://stanford.io/ai

To learn more about enrolling in this course visit: https://online.stanford.edu/co....urses/cs336-language

To follow along with the course schedule and syllabus visit: https://stanford-cs336.github.io/spring2025/

Percy Liang
Associate Professor of Computer Science
Director of Center for Research on Foundation Models (CRFM)

Tatsunori Hashimoto
Assistant Professor of Computer Science

View the entire course playlist: https://www.youtube.com/playli....st?list=PLoROMvodv4r

Welcome to Intro to Deep Learning! This course is for anyone who wants to become a deep learning engineer. I'll take you from the very basics of deep learning to the bleeding edge over the course of 4 months. In this video, we’ll predict an animal’s body weight given it’s brain weight using linear regression via 10 lines of Python. I’ll have a live session every Wednesday at 10 AM PST that covers my weekly video topics in depth. You can click on the little notification bell next to the subscribe button to get an email notification whenever I’m live. And each session is recorded and uploaded to this channel in case you miss it. This Youtube content is 100% created by me (from the writing to the editing, etc.) , it’ll all be released on my channel, and it’s totally free.

I am also very proud and excited to announce my new, exclusive partnership with Udacity. Together, we’re offering the new Deep Learning Nanodegree Foundation program. If you want to take your game to the next level, this is for you! Especially since Udacity will be providing guaranteed admission to their groundbreaking Artificial Intelligence and Self-Driving Car Nanodegree programs to all graduates. They’re offering discounted limited-time pricing, so enroll now to enjoy the unique projects, program sets, and expert reviews. Plus, their community is amazing, so don’t forget to join the Slack channel after you enroll (I’ll be in there too!) And hey, I’m getting paid a small royalty from each enrollment, so let’s do this together!

Link to the Udacity nanodegree:
https://www.udacity.com/course..../deep-learning-nanod

Please Subscribe! And like. And comment. That’s what keeps me going.

This weeks coding challenge (these weekly challenges are not related to the Udacity nanodegree projects, those are additional):
https://github.com/llSourcell/....linear_regression_de

Mick’s winning code:
https://github.com/mickvanhulst/q_learning

Vishal’s runner-up code:
https://github.com/erilyth/Q-Learning-on-Mazes

More learning resources:
http://machinelearningmastery.....com/a-tour-of-machin
https://docs.microsoft.com/en-....us/azure/machine-lea
https://www.toptal.com/machine....-learning/machine-le
https://onlinecourses.science.....psu.edu/stat501/node
http://machinelearningmastery.....com/simple-linear-re

Join us in the Wizards Slack channel:
http://wizards.herokuapp.com/

The vast majority of this course will use Tensorflow. It's just this first example that's using scikit-learn.

And please support me on Patreon:
https://www.patreon.com/user?u=3191693
Follow me:
Twitter: https://twitter.com/sirajraval
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🔥Purdue - Applied Generative AI Specialization - https://www.simplilearn.com/applied-ai-course?utm_campaign=exNuMrqjBlE&utm_medium=Lives&utm_source=Youtube
🔥Professional Certificate Program in Generative AI and Machine Learning - IITG (India Only) - https://www.simplilearn.com/iitg-generative-ai-machine-learning-program?utm_campaign=exNuMrqjBlE&utm_medium=Lives&utm_source=Youtube
🔥Advanced Executive Program In Applied Generative AI - https://www.simplilearn.com/applied-generative-ai-course?utm_campaign=exNuMrqjBlE&utm_medium=Lives&utm_source=Youtube

The Gen AI Full Course 2025 By Simplilearn covers various concepts of Generative AI, starting with an Introduction to Artificial Intelligence and the concept of Generative AI. It outlines a roadmap to becoming a Gen AI Engineer, focusing on essential tools like OpenAI ChatGPT models and AI career options. The course dives deep into Deep Learning, Search GPT, LangChain, and OpenAI Sora. It includes tutorials on Generative Adversarial Networks (GANs), Transformers, LSTM, LLMs, and Machine Learning fundamentals. Advanced topics include Reinforcement Learning, Recurrent Neural Networks, ChatGPT analysis, LLM Benchmarking, and Open AI Strawberry. The course provides hands-on insights into GAN applications, Transformer models, and neural networks essential for Gen AI professionals.

Following are the Topics covered in this Gen AI Full Course 2025 By Simplilearn

00:00:00 Introduction to Gen AI Full Course
00:08:08 What is Artificial Intelligence
00:08:53 What is Generative AI
00:19:32 Roadmap to become a Gen AI Engineer
00:33:07 Gen ai tools for job interview
00:48:31 Open ai chatgpt o1 model
00:50:21 AI Careers to explore
01:04:02 Deep Learning Tutorial
01:12:19 Search GPT Tutorial
01:14:34 Langchain Tutorial
01:37:28 Openai sora Tutorial
02:22:05 Generative Adversarial Tutorial
02:31:27 What are GANS
02:32:28 Transformers in AI
02:44:57 LSTM Tutorial
02:46:21 Large Language Models Tutorial
03:47:34 What is Machine Learning
04:44:06 Machine Learning Tutorial
06:49:29 Reinforcement Learning Tutorial
10:12:12 Recurrent Neural Network Tutorial
10:32:03 ChatGPT analyse Tutorial
10:40:56 LLM Benchmarkeing Tutorial
10:46:38 Open AI Strawberry Tutorial

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

⏩ Check out the Artificial Intelligence training videos: https://youtube.com/playlist?l....ist=PLEiEAq2VkUULa5a

#genai #generativeai #artificialintelligence #ai #machinelearning #llm #simplilearn #2025

➡️ About Professional Certificate Program in Generative AI and Machine Learning

Dive into the future of AI with our Generative AI & Machine Learning course, in collaboration with E&ICT Academy, IIT Guwahati. Learn tools like ChatGPT, OpenAI, Hugging Face, Python, and more. Join masterclasses led by IITG faculty, engage in hands-on projects, and earn Executive Alumni Status.

Key Features:
✅ Program completion certificate from E&ICT Academy, IIT Guwahati
✅ Curriculum delivered in live virtual classes by seasoned industry experts
✅ Exposure to the latest AI advancements, such as generative AI, LLMs, and prompt engineering
✅ Interactive live-virtual masterclasses delivered by esteemed IIT Guwahati faculty
✅ Opportunity to earn an 'Executive Alumni Status' from E&ICT Academy, IIT Guwahati
✅ Eligibility for a campus immersion program organized at IIT Guwahati
✅ Exclusive hackathons and “ask-me-anything” sessions by IBM
✅ Certificates for IBM courses and industry masterclasses by IBM experts
✅ Practical learning through 25+ hands-on projects and 3 industry-oriented capstone projects
✅ Access to a wide array of AI tools such as ChatGPT, Hugging Face, DALL-E 2, Midjourney and more
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies

Skills Covered:
✅ Generative AI
✅ Prompt Engineering
✅ Chatbot Development
✅ Supervised and Unsupervised Learning
✅ Model Training and Optimization
✅ Model Evaluation and Validation
✅ Ensemble Methods
✅ Deep Learning
✅ Natural Language Processing
✅ Computer Vision
✅ Reinforcement Learning
✅ Machine Learning Algorithms
✅ Speech Recognition
✅ Statistics

Learning Path:
✅ IITG AI: Program Induction
✅ IITG AI: Programming Fundamentals
✅ IITG AI: Python for Data Science (IBM)
✅ IITG AI: Applied Data Science with Python
✅ IITG AI: Machine Learning
✅ IITG AI: Deep Learning with TensorFlow (IBM)
✅ IITG AI: Deep Learning Specialization
✅ IITG AI: Essentials of Generative AI, Prompt Engineering & ChatGPT
✅ IITG AI: Advanced Generative AI
✅ IITG AI: Capstone
Electives:
✅ IITG AI: ADL & Computer Vision
✅ IITG AI: NLP and Speech Recognition
✅ IITG AI: Reinforcement Learning
✅ IITG AI: Academic Masterclass
✅ IITG AI: Industry Masterclass

👉 Learn More At: https://www.simplilearn.com/iitg-generative-ai-machine-learning-program?utm_campaign=exNuMrqjBlE&utm_medium=Lives&utm_source=Youtube

🔥Intellipaat Salesforce Training: https://intellipaat.com/salesforce-training/
In this salesforce full-course video, you will learn salesforce from scratch to the most advanced concepts. This salesforce training video for beginners has covered everything you need to know about salesforce to become a salesforce developer. We have added salesforce interview questions also at the last so that you can prepare for the job interview as well.
#SalesforceTraining #SalesforceCourse #SalesforceTrainingVideosForBeginners #Learnsalesforce #SalesforceCourse #SalesforceTraining #Intellipaat

📌 Do subscribe to Intellipaat channel & get regular updates on videos: http://bit.ly/Intellipaat

🔗 Watch Salesforce video tutorials here: https://goo.gl/sFqRAJ

📕 Read complete Salesforce tutorial here: https://intellipaat.com/blog/t....utorial/salesforce-t

⭐ Get Salesforce cheat sheet here: https://intellipaat.com/blog/t....utorial/salesforce-tsalesforce-cheat-sheet/

📰Interested to learn how to use salesforce still more? Please check similar what is Salesforce blog: https://intellipaat.com/blog/what-is-salesforce/

Are you looking for something more? Enroll in our Salesforce course & certification and become a certified Salesforce Professional (https://intellipaat.com/salesforce-training/). It is a 48 hrs instructor led Salesforce training provided by Intellipaat which is completely aligned with industry standards and certification bodies.

If you’ve enjoyed this salesforce tutorial, Like us and Subscribe to our channel for more similar informative salesforce videos.
Got any questions about salesforce? Ask us in the comment section below.
----------------------------
Intellipaat Edge
1. 24*7 Life time Access & Support
2. Flexible Class Schedule
3. Job Assistance
4. Mentors with +14 yrs
5. Industry Oriented Course ware
6. Life time free Course Upgrade
------------------------------
Why should you watch this Salesforce tutorial?

Salesforce is a cloud based platform which has transformed how companies have changed the ways to connect, build meaningful and lasting bond with the customers, identify their needs and address problems faster and deploy apps that are customer focused. We are offering the top Salesforce tutorial that can be watched by anybody to learn Salesforce.

Why Salesforce is important?

Salesforce is the most widely used CRM software in the world. It is accessible via the cloud platform and available on any device. Thanks to this and extensive set of features for entire sales, marketing and customer relationship life cycle there is increased demand for Salesforce developer and Salesforce administration professionals.

Why should you opt for a Salesforce career?

Customer Relationship Management is growing at a torrid pace as companies big and small are embracing CRM tools in order to make sense of their sales leads and cater to their customers in a better way with the upshot of earning more revenues. Also it is a fact that Salesforce Developer in United States can earn $1,00,000 – indeed.com.
---------------------------------
For more Information:
Please write us to [email protected], or call us at: +91- 7847955955

Website: https://intellipaat.com/salesforce-training/

Facebook: https://www.facebook.com/intellipaatonline

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🔥Purdue - Applied Generative AI Specialization - https://www.simplilearn.com/applied-ai-course?utm_campaign=QTYkoK_ty7M&utm_medium=Lives&utm_source=Youtube
🔥Professional Certificate Program in Generative AI and Machine Learning - IITG (India Only) - https://www.simplilearn.com/iitg-generative-ai-machine-learning-program?utm_campaign=QTYkoK_ty7M&utm_medium=Lives&utm_source=Youtube
🔥Advanced Executive Program In Applied Generative AI - https://www.simplilearn.com/applied-generative-ai-course?utm_campaign=QTYkoK_ty7M&utm_medium=Lives&utm_source=Youtube

This Generative AI Full Course 2025 by Simplilearn provides a structured learning path, starting with the fundamentals of Generative AI and a detailed roadmap to mastering it. Learners explore top AI technologies, including DeepSeek R1, Deep Learning, and Search GPT, followed by essential tools like LangChain. The course dives into Generative Adversarial Networks (GANs), Transformers, and Long Short-Term Memory (LSTM) networks, forming the foundation of modern AI models. It then introduces Large Language Models (LLMs), Machine Learning concepts, and Reinforcement Learning, leading into practical applications like ChatGPT analysis and OpenAI Sora. Advanced topics include LLM benchmarking, Hugging Face tutorials, and OpenAI's ChatGPT O1 model. Practical insights into Generative AI tools for job interviews, Agentic AI, and AI monetization strategies help learners stay ahead in the field. The course concludes with a look at Google Quantum AI and Machine Learning interview preparation, ensuring a strong grasp of both theoretical and applied AI concepts.

Following are the topics covered in the Generative AI Full Course 2025:

00:00:00 - Introduction to Gen AI Full Course 2025
00:00:45 - What is Gen AI
00:11:24 - Roadmap Gen AI
01:16:27 - What is Machine Learning
01:23:26 - Deep Learning
01:24:50 - Introduction to LLM
01:47:32 - What are Gen AI Agents
02:24:34 - Agentic AI
03:21:06 - Machine Learning Tutorial
05:26:29 - Reinforcement Learning
05:42:34 - Deepseek r1
05:53:47 - Install Deepseek
06:44:30 - Hugging Face and its tutorial
06:52:47 - Search GPT
06:55:02 - Langchain
07:51:37 - Generative Adversarial Tutorial
09:21:57 - Introduction to agentic workflow
09:31:19 - What are Gans
09:32:20 - Transformers in AI
09:44:49 - LSTM
10:04:40 - CHatgpt analyse
10:15:36 - Openai sora
10:24:29 - LLM Benchmarkeing
10:39:53 - Open ai chatgpt o1 model
10:48:16 - Google Quantam AI
10:53:49 - Majorana
10:58:58 - Gen ai tools for job interview
12:59:19 - Deep learning Interview questions
13:05:13 - Claude 3 sonnet

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

⏩ Check out the Artificial Intelligence training videos: https://youtube.com/playlist?l....ist=PLEiEAq2VkUULa5a

#genai #generativeai #artificialintelligence #ai #machinelearning #llm #simplilearn #2025

➡️ About Professional Certificate Program in Generative AI and Machine Learning

Dive into the future of AI with our Generative AI & Machine Learning course, in collaboration with E&ICT Academy, IIT Guwahati. Learn tools like ChatGPT, OpenAI, Hugging Face, Python, and more.

Key Features:
✅ Program completion certificate from E&ICT Academy, IIT Guwahati
✅ Curriculum delivered in live virtual classes by seasoned industry experts
✅ Exposure to the latest AI advancements, such as generative AI, LLMs, and prompt engineering
✅ Interactive live-virtual masterclasses delivered by esteemed IIT Guwahati faculty
✅ Opportunity to earn an 'Executive Alumni Status' from E&ICT Academy, IIT Guwahati
✅ Eligibility for a campus immersion program organized at IIT Guwahati
✅ Exclusive hackathons and “ask-me-anything” sessions by IBM
✅ Certificates for IBM courses and industry masterclasses by IBM experts
✅ Practical learning through 25+ hands-on projects and 3 industry-oriented capstone projects
✅ Access to a wide array of AI tools such as ChatGPT, Hugging Face, DALL-E 2, Midjourney and more
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies

Skills Covered:
✅ Generative AI
✅ Prompt Engineering
✅ Chatbot Development
✅ Supervised and Unsupervised Learning
✅ Model Training and Optimization
✅ Model Evaluation and Validation
✅ Ensemble Methods
✅ Deep Learning
✅ Natural Language Processing
✅ Computer Vision
✅ Reinforcement Learning
✅ Machine Learning Algorithms
✅ Speech Recognition
✅ Statistics

Learning Path:
✅ Program Induction
✅ Programming Fundamentals
✅ Python for Data Science (IBM)
✅ Applied Data Science with Python
✅ Machine Learning
✅ Deep Learning with TensorFlow (IBM)
✅ Deep Learning Specialization
✅ Essentials of Generative AI, Prompt Engineering & ChatGPT
✅ Advanced Generative AI
✅ Capstone
Electives:
✅ ADL & Computer Vision
✅ NLP and Speech Recognition

👉 Learn More At: https://www.simplilearn.com/iitg-generative-ai-machine-learning-program?utm_campaign=QTYkoK_ty7M&utm_medium=Lives&utm_source=Youtube

Помощь проекту: https://www.patreon.com/VertDider

Набирать МИЛЛИОНЫ просмотров просто! Нужно всего лишь…
Посмотреть это видео Veritasium, где Дерек Маллер разбирается в сортах кликбейта и рассказывает на примерах своих роликов, почему и в каких случаях он не так уж вреден в умеренных количествах.

Кстати, ребята, которые в этот раз готовили перевод, впервые работали с актуальным свеженьким видео Дерека, старались и волновались. Давайте поддержим их добрым словом?

Перевод: Ольга Сюлева, Ирина Шутова
Редактура: Алексей Лоскутов
Озвучка: Дмитрий Чепусов, Алексей Никитин
Монтаж звука: Андрей Фокин
Монтаж видео: Джон Исмаилов
Обложка: Андрей Гавриков

Спасибо за поддержку на https://www.patreon.com/VertDider
Озвучки Vert Dider выходят с вашей помощью:

Maria Zvereva, Pavel Dunaev, Oleksii Leonov, Yegor Barakovskiy, Mikhail Stolpovskiy, Illarion Petrov, Andrew Dzhur, Евгений Колмаков, Andrey Chizh, Linar Khusnullin, Дмитрий Глазнев, Кирилл Л, Anton Borkovski, Ilya, smiler, Антон Малинин, Roman Inflianskas, Maxim Syunikov, Oleg Zingilevskiy, Serega Beltser, Rashid Nasibulin, opperatius, Alena, Vitaliy Vachynyuk, Ника Калмыкова, Евгений Сельменев, Alex Afalex, Sergii Cherepanov, Владимир Кашутин, Pavel Parpura, Anton Bolotov, Yevhen, Sergei W, Kosoy, Михаил Панькин, Katoto Chan, Anton Makiievskyi, mol9ko, Taleh Zaliyev, Аддон, Irina Slavgorodskaya, Arthur Skobara, 666.13FM, Andrew Rumyantsev, Marianna Sumina, Мария Баранова, Maxim Arkushin, Илья Соловьёв, Дмитрий, Julia, Oleg Kovalov, Vadim Cpp, Roman Rogachev, Artem Amirbekov, Dzmitryi Halyava, Nastya, POD666, Aleksei Shabalin, Timophey Popov, Лиля Малкова, Natalie Kulinicheva, Ilya Afanasyev, Marat Bakirov, Ирина Завтонова, Anastasia, Andrew Rumak, Andrey Istomin, Марина Малинкина, Ирина Анатольевна Чулкова, Pavel Golovin, Vadim Velicodnii, Юрий Медведев, Анна Троссман, Serj Skidan, L Marchenko, Nadia Kilgishova, Andrey Rusanov, Inna Klymenko, Dmitriy Lashtaba, Ilya Alexeevsky, Alexander Balynskiy, Максим Иванов, Alexander, Maria Tronina, Alexander Gorodok, Ivan Iakimov, Alexander Zimin, Otto Kester, Claudia Barzaeva, Lirin Alex, Konstantin Pesyakov, Denis Titusov, Viktoria, Olga Podolskaya, Alexey Kukushkin, F23D24, Пугачёв Пётр, Olga Shistareva, Alex Katkov, Irina Shakhverdova, Dmitriy Omelyansky, Aleksey Sazonov, Vladimir Goshev, Vladyslav Sokolenko, Anton Novozhenin, Spartak Kagramanyan, Александр Фалалеев, Evgeny Vrublevsky

#VertDider #Veritasium

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Разрешение на публикацию: https://bit.ly/2SFhrHZ
© https://www.youtube.com/c/veritasium/
Источник: https://youtu.be/S2xHZPH5Sng