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In this video on the "DevOps career path" , we’ll dive into everything you need to know to kickstart or advance your career in DevOps. We’ll discuss the key skills you need to master, from automation tools and scripting to cloud platforms like AWS and Azure. You’ll learn about the various roles, from entry-level DevOps Engineers to Senior DevOps Architects, and what each position entails. We’ll also cover the core responsibilities at each stage, including managing CI/CD pipelines, cloud infrastructure, and automation. Additionally, we’ll talk about the certifications that can boost your career prospects and make you stand out in the job market. Whether you’re just starting or looking to move up, this video will provide actionable insights to help you navigate the DevOps landscape.

✅ 00:00 - Introduction to DevOps Career Path
✅ 01:36 - What is the DevOps Career Path?
✅ 03:07 - Growing Demand and Job Opportunities
✅ 03:41 - Detailed View On The Career Prospects Of Devops
✅ 07:45 - DevOps Certification

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𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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

What is a DevOps Career Path?

A DevOps career path involves progressing through roles that integrate software development and IT operations, starting from entry-level positions like DevOps Engineer to advanced roles like DevOps Architect, focusing on automation, CI/CD, and cloud infrastructure management.

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

Growing Demand and Job Opportunities
DevOps professionals are in high demand across industries due to the increasing adoption of cloud technologies and automation, leading to abundant job opportunities and career growth.

- - - - - - - - - - - - - -
Attractive Salary Prospects?
DevOps roles offer attractive salaries that increase with experience. Entry-level positions start high, and senior roles command premium pay, reflecting the skills and demand in the market.

Detailed view on the career prospects of DevOps?
DevOps career prospects include a clear progression from Junior DevOps Engineer to Senior Architect, with opportunities to specialize in areas like cloud management, automation, or security, offering continuous learning, higher responsibilities, and leadership roles over time.

Conclusion:
A career in DevOps offers a dynamic and rewarding path. It combines development and operations to drive efficiency and innovation. With growing demand, attractive salaries, and clear progression opportunities, investing in DevOps skills and certifications can lead to a fulfilling and lucrative career.


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In this tutorial, we’ll explore how GitHub Copilot can revolutionize your coding experience. We’ll show you step-by-step how to set it up in Visual Studio Code and use it to build a JavaScript application . From generating code snippets to solving logic problems, Copilot acts as your AI-powered coding partner. Get ready to see how Copilot makes coding faster, smarter, and more fun!

00:00 Introduction
01:35 What is Github Copilot ?
02:31 How does Copilot works ?
01:35 What is Github Copilot ?
04:41 Installing Github Copilot
09:31 Building a Javascript based Application using Github Copilot


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Sometimes, a large language model is too much horse, so to speak. For tasks that are smaller in scope and more fine-tuned for a specific task, a small language model, or SLM, might be a better fit. SLMs are cheaper than LLMs, so they're great for smaller businesses or just automation tasks that don't need all the bells and whistles an LLM offers.

🔎 Read more:
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00:00:00 - Introduction
00:02:43 - How to Master Data Science
00:14:50 - Demand for Data Science Professionals
00:28:24 - Data Science Learning Path
00:35:52 - Statistics & Probability
00:57:26 - What is Statistics?
01:39:19 - What is probability?
01:55:06 - Bayesian tree
02:52:13 - Sampling distribution
03:23:25 - Systematic Sampling
04:01:18 - Introduction to Numpy Array
04:37:32 - Numpy Indexing and Slicing
04:43:15 - Array Manipulation
05:04:33 - Introduction to Pandas
06:13:50 - Introduction to Matplotlib
06:17:09 - Types of Plots in Python
06:29:59 - Line plots
06:45:51 - Bar charts
06:50:18 - Scatter plots
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In this Data Analytics for beginners video you will learn what is data analysis, the life cycle of data analysis, the various skills to become a data analyst, the difference between data analysis and data science, the difference between a data analyst and data engineer, pandas, data analysis using pandas, NumPy and data analysis interview questions in detail.

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🔵The following are covered in this Data Analytics Course video:
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00:01:30 - What is Data Analytics?
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00:38:39 - House Price Case Study
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🔴 𝐋𝐞𝐚𝐫𝐧 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐅𝐨𝐫 𝐅𝐫𝐞𝐞! 𝐒𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 𝐭𝐨 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐘𝐨𝐮𝐓𝐮𝐛𝐞 𝐂𝐡𝐚𝐧𝐧𝐞𝐥: https://edrk.in/DKQQ4Py
This video on Artificial Intelligence gives you a brief introduction to AI discussing how it can be a threat as well as useful.

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This HTML Full Course 2023 by Simplilearn will take you through the most basic and advanced level concepts of HTML, and you'll be able to learn HTML in 8 hours only. In this HTML tutorial for beginners 2023, we have covered everything you need to know and understand about the most basic block of web development. Additionally, you will also learn to create some fantastic projects with the help of all you will learn in this HTML Full Course 2023. Below are the topics we have covered in this HTML tutorial for beginners.

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

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Learn Elixir and functional programming in this coruse for beginners. By the end of this course, you'll be able to build your own Elixir applications and confidently apply functional programming concepts in your projects.

✏️ Course created by @octallium

💻 Github Repo: https://github.com/octallium/f....unctional-programmin

⭐️ Contents ⭐️
⌨️ (0:00:00) Introduction
⌨️ (0:01:45) What is Elixir?
⌨️ (0:04:07) What is functional programming?
⌨️ (0:06:57) What is Recursion?
⌨️ (0:13:04) Installing Elixir & Setting Up VS Code
⌨️ (0:15:03) Learning & Unlearning
⌨️ (0:18:29) Pattern Matching
⌨️ (0:22:35) Introduction to LiveBook
⌨️ (0:26:04) Understanding Immutability
⌨️ (0:30:22) Actor Model
⌨️ (0:34:48) Hello World in Elixir
⌨️ (0:43:25) Data Types - Atom
⌨️ (0:50:25) Data Types - String
⌨️ (1:45:29) Data Types - Charlist, Process & List
⌨️ (1:14:54) Data Types - Tuples & Keyword List
⌨️ (1:19:27) Data Types - Maps
⌨️ (1:25:38) Data Types - Struct
⌨️ (1:30:09) Flow Control
⌨️ (1:39:54) Mix Project
⌨️ (1:41:19) Head & Tail Recursion
⌨️ (2:00:17) Recursion - Sum Digits
⌨️ (2:15:31) Recursion - Factorial
⌨️ (2:24:57) Recursion - Reverse Number
⌨️ (2:32:45) Lists Are LinkedList!!!
⌨️ (2:35:53) List Sum
⌨️ (2:47:04) Reverse List
⌨️ (2:52:58) List Map
⌨️ (3:04:34) Concat
⌨️ (3:09:23) FlatMap
⌨️ (3:14:07) Mid Review
⌨️ (3:15:00) Seven Wonders
⌨️ (3:40:27) For Comprehension
⌨️ (3:42:00) Expense Manager
⌨️ (4:04:17) Project Stats
⌨️ (5:16:30) Final Words

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This Edureka video on 𝐀𝐳𝐮𝐫𝐞 𝐀𝐩𝐩 𝐒𝐞𝐫𝐯𝐢𝐜𝐞 𝐓𝐮𝐭𝐨𝐫𝐢𝐚𝐥 talks about what Azure App Services are, and how to use them in Azure. We will also do a hands-on in the end, in which we will be deploying a .Net application on Azure.

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

This SAS Tutorial is specially designed for beginners, it starts with Why Data Analytics is needed, goes on to explain the various tools in Data Analytics, and why SAS is used among them, towards the end we will see how we can install SAS software and a short demo on the same!

In this SAS Tutorial video you will understand:

1) Why Data Analytics?
2) What is Data Analytics?
3) Data Science Analytics Tools
4) Why SAS?
5) What is SAS?
6) What SAS Solves?
7) Components of SAS
8) How can we practice Base SAS?
9) Demo

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

Check our complete SAS Training playlist here: https://goo.gl/MMLyuN

#SASTraining #SASTutorial #SASCertification

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

The SAS training course is designed to provide knowledge and skills to become a successful Analytics professional. It starts with the fundamental concepts of rules of SAS as a Language to an introduction to advanced SAS topics like SAS Macros.

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

Why Learn SAS?

The Edureka SAS training certifies you as an ‘in demand’ SAS professional, to help you grab top paying analytics job titles with hands-on skills and expertise around data mining and management concepts.

SAS is the primary analytics tool used by some of the largest KPOs, Banks like American Express, Barclays etc., financial services irms like GE Money, KPOs like Genpact, TCS etc., telecom companies like Verizon (USA), consulting companies like Accenture, KPMG etc use the tool effectively.

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

Who should go for this course?

This course is designed for professionals who want to learn widely acceptable data mining and exploration tools and techniques, and wish to build a booming career around analytics. The course is ideal for:

1. Analytics professionals who are keen to migrate to advanced analytics
2. BI /ETL/DW professionals who want to start exploring data to eventually become data scientist
3. Project Managers to help build hands-on SAS knowledge, and to become a SME via analytics
4. Testing professionals to move towards creative aspects of data analytics
5. Mainframe professionals
6. Software developers and architects
7. Graduates aiming to build a career in Big Data as a foundational step

Please write back to us at sales@edureka.co or call us at +918880862004 or 18002759730 for more information.

Website: https://www.edureka.co/sas-training
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka

Customer Reviews:

Sidharta Mitra, IBM MDM COE Head @ CTS , says, "Edureka has been an unique and fulfilling experience. The course contents are up-to-date and the instructors are industry trained and extremely hard working. The support is always willing to help you out in various ways as promptly as possible. Edureka redefines the way online training is conducted by making it as futuristic as possible, with utmost care and minute detailing, packaged into the a unique virtual classrooms. Thank you Edureka!"

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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.

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This Introduction to Artificial Intelligence Full Course by Simplilearn provides a complete roadmap to mastering AI. It begins with an introduction to artificial intelligence, its future, and essential concepts like machine learning, deep learning, and generative AI. You’ll explore AI careers, the AI engineer roadmap, and how to land a job in this field. Dive into practical tutorials on using AI for coding, creating digital products, and building websites. Advanced topics include transformers, reinforcement learning, Q-learning, and LangChain. You’ll learn about AI bias, multimodal AI, and concepts like LLMs, benchmarking, and running models privately. The course also covers prompt engineering, data analytics with AI, and AI-powered tools like Cursor AI. Additionally, you’ll get hands-on with projects for beginners, including machine learning and AI, and explore top hackathons in India. Finally, you’ll gain insights into interview preparation and how to earn money using tools like ChatGPT.

00:00:00 Introduction To Artificial Intelligence Full Course
00:08:08 Introduction To Artificial Intelligence
00:17:14 Future Of Artificial Intelligence
00:24:13 Deep Learning Tutorial For Beginners
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00:45:55 Top 10 Technologies To Learn
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10:17:41 Recurrent Neural Network
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In this Cyber Security Crash Course video, you will learn all about cyber security, know the importance of cyber security, what cyber security means, and the different types of cyberattacks with a hands-on demo for each. Let's begin this Cyber Security Training For Beginners!

The topics covered in this Cyber Security Crash Course video are:
00:00:00 Introduction to Cyber Security
00:12:40 Malware Attack
00:20:22 Phishing Attack
00:25:07 Man-in-the-Middle Attack
00:27:28 Denial of Service Attack
00:28:09 SQL Injection Attack
00:29:27 Password Attack
00:34:08 Network Attacks
00:25:07 Man-in-the-Middle Attack
00:35:03 History of Cybercrimes
00:40:28 What is Cyber Security?
00:42:20 Network Terminologies
01:05:36 CIA
01:08:55 Tackling Cybercrime
01:20:07 Metasploit Attack
01:31:40 Who Is a Cyber Security Expert?
01:41:56 Ethical Hacking Introduction
01:49:27 What Is Ethical Hacking?
02:27:04 Kali Linux Installation & Cyberattack demo
03:26:18 Cyber Security Career
03:42:08 Ethical Hacking Career
03:53:18 CISSP Certification
04:09:00 Cyber Security Interview Questions & Answers

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➡️ About Post Graduate Program In Cyber Security

This Post Graduate Program in Cyber Security will help you learn comprehensive approaches to protecting your infrastructure and securing data, including risk analysis, mitigation, and compliance. You will get foundational to advanced skills through industry-leading cyber security certification courses that are part of the program.

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- 25+ hands-on projects
- Capstone project in 3 domains
- MIT CSAIL Professional Programs Community

✅ Skills Covered

- Advanced Hacking Concepts
- Network Packet Analysis
- Ethical Hacking
- IDS Firewalls and Honeypots
- Security and Risk Management
- Network Security
- Software Development Security
- Cryptography OSI and TCPIP Models
- Identity and Access Management
- Security Assessment and Testing
- Trojans Backdoors and Countermeasures
- Mobile and Web Technologies

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The number 37 is on your mind more than you think. Head to https://brilliant.org/veritasium to start your free 30-day trial and get 20% off an annual premium subscription.

Huge thanks to Tom Magliery for sharing his 37 collection with us. Support http://thirty-seven.org by sharing your own 37 sightings to tom@thirty-seven.org!
Thanks to Dr. Todd Landman, the Academic Magician, for sharing his footage of the 37 Force. - https://www.todd-landman.com/

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

Sam Lutfi, Lee Redden, Juan Benet, Richard Sundvall, Paul Peijzel, Gnare, Michael Krugman, Meekay, Ubiquity Ventures, Marinus Kuivenhoven, Bill Linder, Evgeny Skvortsov, Burt Humburg, Dave Kircher, Diffbot, john kiehl, Blake Byers, Stephen Wilcox, John H. Austin, Jr., Josh Hibschman, TTST, Orlando Bassotto, Anton Ragin, David Johnston, KeyWestr, Tj Steyn, meg noah, Chris Harper, Adam Foreman, Max Paladino, Balkrishna Heroor, I. H., Garrett Mueller, Bertrand Serlet, Kyi, wolfee, Matthias Wrobel

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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References:
Simon, W. E. (1972). “Blue Seven Phenomenon” in Elementary and Jr. High Children. Psychological Reports - https://ve42.co/Simon1972
Trueman, J. (1979). Existence & Robustness of Blue Seven Phenomena. The Journal of General Psychology - https://ve42.co/Trueman1979
Saito, M. (1999). “Blue and Seven Phenomena” in Japanese Students. Perceptual & Motor Skills - https://ve42.co/Saito1999
Philbrick, J. L. (1976). Blue seven in East Africa: Preliminary report. Perceptual & Motor Skills - https://ve42.co/Philbrick1976
Hargreaves, S. (2009). The psychology of randomness. - https://ve42.co/Hargreaves2009
The 37 Force via The Magician’s Forum - https://ve42.co/37Force1
Fulves, K. (1979) Self-Working Mental Magic. Dover Publications, Inc. - https://ve42.co/Fulves1979
Random numbers via The Jargon File at catb.org - https://ve42.co/Jargon
Random Number Survey by MahoganyForest via Reddit - https://ve42.co/RedditRndm
Prime number theorem via Wikipedia - https://ve42.co/WikiPNT
Grossack, C. (2023). A truly incredible fact about the number 37. Grossack.site - https://ve42.co/Grossack2023
Least prime factor of n via oeis.org - https://ve42.co/LeastPrime
Fry, H. (2017). When should you settle down? ideas.ted.com - https://ve42.co/Fry2017
Choosing Toilets by Numberphile - https://www.youtube.com/watch?v=XIOoCKO-ybQ
Seaton, R. (2014). The Secretary Problem Explained: Dating Mathematically. rs.io - https://ve42.co/Seaton2014

Images & Video:
Just 37 by Tom Magliery - https://ve42.co/Just37
R4000 Processor via Molecular Expressions - https://ve42.co/micro37
The “37” Cluster by Noel Carboni - https://ve42.co/NGC2169
Charles Fleischer via Wikimedia - https://ve42.co/Fleischer

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Directed by Emily Zhang
Written by Emily Zhang and Derek Muller
Edited by Peter Nelson
Asst edited by Luke Molloy
Animated by Fabio Albertelli, Ivy Tello, and Leigh Williamson
Illustrated by Jakub Misiek
Filmed by Emily Zhang, Casper Mebius, Derek Muller, Michael Cimpher, and David Szasz
Additional research by Gregor Čavlović
Produced by Emily Zhang, Giovanna Utichi, Han Evans, and Emily Taylor

Thumbnail contributions by Ignat Berbeci, Ren Hurley, and Peter Sheppard
Additional video/photos supplied by Getty Images and Storyblocks
Music from Epidemic Sound