🔥DevOps Engineer Masters Program: https://www.edureka.co/masters....-program/devops-engi

In this video, *DevSecOps Interview Questions and Answers* , we’ll cover the essential DevSecOps Interview Questions and Answers to help you excel in any DevSecOps role. From foundational security principles to advanced DevSecOps practices, we tackle questions about integrating security into CI/CD pipelines, container security, vulnerability management, and key tools like Docker, Kubernetes, and security scanners. You'll not only learn how to craft compelling answers but also understand the critical reasoning behind them, equipping you to stand out in your interviews. Whether you’re new to DevSecOps or a seasoned professional, this video is your ultimate guide to mastering DevSecOps interviews. Don’t forget to like, share, and subscribe for more insightful content!

✅ 02:28 - Use Case
✅ 08:04 - Why DevSecOps?
✅ 08:50 - What is DevSecOps & What is stands for?
✅ 10:09 - What are the benefits of DevSecops?
✅ 11:12 - DevSecOps vs. DevOps
✅ 14:37 - What are the Components of DevSecOps?
✅ 16:07 - What are the best practices of DevSecOps?
✅ 17:24 - What are common DevSecOps tools?
✅ 18:39 - What are the challenges of implementing DevSecOps?
✅ 19:42 - DevSecOps Culture
✅ 20:51 - How does DevSecOps work?

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

📝Feel free to share your comments below.📝

𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

🔵 DevOps Online Training: http://bit.ly/3VkBRUT
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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬

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

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

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

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

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📌𝐂𝐚𝐬𝐭𝐛𝐨𝐱: https://castbox.fm/networks/505?country=IN
📌𝐌𝐞𝐞𝐭𝐮𝐩: https://www.meetup.com/edureka/
📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/

- - - - - - - - - - - - - -
What is the difference between DevSecOps vs DevOps?


DevOps and DevSecOps share the goal of streamlining software delivery, but they differ in their focus and approach. DevOps emphasizes collaboration between development and operations teams to ensure fast and reliable software delivery. Security in DevOps is often treated as a separate phase or addressed later in the development lifecycle. In contrast, DevSecOps integrates security into every stage of the DevOps process, adopting a ""shift-left"" approach where security is a shared responsibility across development, security, and operations teams.
- - - - - - - - - - - - - -

Who should take this course:

Software Developers looking to streamline development and deployment.
IT Operations Professionals wanting to integrate with development teams.
QA Engineers seeking to automate testing within CI/CD pipelines.
System Administrators interested in managing infrastructure as code.
DevOps Enthusiasts eager to learn the latest tools and practices.
Students/Freshers wanting to start a career in IT and DevOps.
- - - - - - - - - - -- - - - --

Prerequisites for DevOps Course:

Basic programming knowledge (Python, Java, etc.)
Understanding of Linux/Unix systems
Familiarity with version control (Git)
Basic networking concepts
Awareness of cloud platforms (AWS, Azure, etc.)
Knowledge of the software development lifecycle
Willingness to learn and adapt.


For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US & Others: +18885487823 (toll-free)

1. Wooly Bully - Sam the Sham and the Pharaohs
2. I Can't Help Myself (Sugar Pie Honey Bunch) - Four Tops
3. (I Can't Get No) Satisfaction - The Rolling Stones
4. You Were on My Mind - We Five
5. You've Lost That Lovin' Feelin' - The Righteous Brothers
6. Downtown - Petula Clark
7. Help! - The Beatles
8. Can't You Hear My Heart Beat - Herman's Hermits
9. Crying in the Chapel - Elvis Presley
10. My Girl - The Temptations
11. Help Me, Rhonda - The Beach Boys
12. King of the Road - Roger Miller
13. The Birds and the Bees - Jewel Akens
14. Hold Me, Thrill Me, Kiss Me - Mel Carter
15. Shotgun - Junior Walker & the All Stars
16. I Got You Babe - Sonny & Cher
17. This Diamond Ring - Gary Lewis & the Playboys
18. The 'In' Crowd - Ramsey Lewis Trio
19. Mrs. Brown, You've Got a Lovely Daughter - Herman's Hermits
20. Stop! In the Name of Love - The Supremes
21. Unchained Melody - The Righteous Brothers
22. Silhouettes - Herman's Hermits
23. I'll Never Find Another You - The Seekers
24. Cara Mia - Jay and the Americans
25. Mr. Tambourine Man - The Byrds
26. Cast Your Fate to the Wind - Sounds Orchestral
27. Yes, I'm Ready - Barbara Mason
28. What's New Pussycat? - Tom Jones
29. Eve of Destruction - Barry McGuire
30. Hang On Sloopy - The McCoys

1. Helen Reddy - Angie Baby
2. John Denver - Annie's Song
3. Cat Stevens - Another Saturday Night
4. John Denver - Back Home Again
5. Paul McCartney & Wings - Band on the Run
6. First Class - Beach Baby
7. Elton John - Bennie and the Jets
8. Bo Donaldson & The Heywoods / Paper Lace - Billy Don't Be a Hero
9. Elton John - Candle in the Wind
10. Barry White - Can't Get Enough of Your Love
11. Gordon Lightfoot - Carefree Highway
12. Harry Chapin - Cat's in the Cradle
13. Redbone - Come and Get Your Love
14. Cher - Dark Lady
15. Suzi Quatro - Devil Gate Drive
16. Elton John - Don't Let the Sun Go Down on Me
17. Carl Carlton - Everlasting Love
18. Ken Boothe - Everything I Own
19. Slade - Far Far Away
20. Johnny Bristol - Hang On In There Baby
21. Paul Anka with Odia Coates - (You're) Having My Baby
22. Showaddywaddy - Hey Rock and Roll
23. ABBA / Sweet Dreams - Honey Honey
24. Blue Swede - Hooked on a Feeling
25. Billy Swan - I Can Help
26. Olivia Newton-John - I Honestly Love You
27. Eric Clapton - I Shot the Sheriff
28. Carpenters - I Won't Last a Day Without You
29. Terry Jacks - If You Go Away
30. Olivia Newton-John - If You Love Me (Let Me Know)
31. Jim Croce - I'll Have to Say I Love You in a Song
32. Albert Hammond - I'm a Train
33. Alvin Stardust - Jealous Mind
34. Paul McCartney & Wings - Jet
35. Dolly Parton - Jolene
36. The Rubettes - Jukebox Jive
37. Kool and the Gang - Jungle Boogie
38. Paul McCartney & Wings - Junior's Farm
39. Queen - Killer Queen
40. The Drifters - Kissin' in the Back Row
41. Carl Douglas - Kung Fu Fighting
42. Neil Sedaka - Laughter in the Rain
43. Bachman–Turner Overdrive - Let It Ride
44. Mud - Lonely This Christmas
45. Neil Diamond - Long Fellow Serenade
46. The Osmonds - Love Me for a Reason
47. The Love Unlimited Orchestra - Love's Theme
48. Elton John - Lucy in the Sky with Diamonds
49. Electric Light Orchestra - Ma-Ma-Ma-Belle
50. Maria Muldaur - Midnight at the Oasis
51. Bee Gees - Mr. Natural
52. Gloria Gaynor - Never Can Say Goodbye
53. Billy Preston - Nothing from Nothing
54. Cat Stevens - Oh Very Young
55. Billy Joel - Piano Man
56. Golden Earring - Radar Love
57. David Bowie - Rebel Rebel
58. Steely Dan - Rikki Don't Lose That Number
59. The Righteous Brothers - Rock and Roll Heaven
60. Andy Kim - Rock Me Gently
61. The Hues Corporation - Rock the Boat
62. George McCrae - Rock Your Baby
63. Sweet Sensation - Sad Sweet Dreamer
64. Terry Jacks - Seasons in the Sun
65. Queen - Seven Seas of Rhye
66. Bay City Rollers - Shang-a-Lang
67. Charles Aznavour - She
68. Al Wilson - Show and Tell
69. Blue Magic - Sideshow
70. Ralph McTell - Streets of London
71. The Rubettes - Sugar Baby Love
72. Bay City Rollers - Summerlove Sensation
73. Gordon Lightfoot - Sundown
74. John Denver - Sunshine on My Shoulders
75. Lynyrd Skynyrd - Sweet Home Alabama
76. The Sweet - Teenage Rampage
77. The Hollies - The Air That I Breathe
78. Slade - The Bangin' Man
79. Elton John - The Bitch Is Back
80. Mud - The Cat Crept In
81. Billy Joel - The Entertainer
82. Steve Miller Band - The Joker
83. Grand Funk - The Loco-Motion
84. Paper Lace - The Night Chicago Died
85. Leo Sayer / Three Dog Night - The Show Must Go On
86. The Sweet - The Sixteens
87. Dionne Warwick & The Spinners - Then Came You
88. Sparks - This Town Ain't Big Enough for Both of Us
89. Mud - Tiger Feet
90. America - Tin Man
91. The Rubettes - Tonight
92. MFSB - TSOP (The Sound of Philadelphia)
93. Mike Oldfield - Tubular Bells
94. Aretha Franklin - Until You Come Back to Me
95. ABBA - Waterloo
96. Three Degrees - When Will I See You Again
97. Bachman–Turner Overdrive - You Ain't Seen Nothing Yet
98. Stevie Wonder - You Haven't Done Nothin'
99. The Stylistics - You Make Me Feel Brand New
100. Barry White - You're the First, The Last, My Everything

Based on the charts of the US and Europe.
The songs are in alphabetical order.
Song snippets are kept short due to copyright reasons.

Announcement: New Book by Luis Serrano! Grokking Machine Learning. bit.ly/grokkingML
40% discount code: serranoyt

A friendly explanation of how computers predict and generate sequences, based on Recurrent Neural Networks.
For a brush up on Neural Networks, check out this video: https://www.youtube.com/watch?v=BR9h47Jtqyw

0:00 A friendly introduction to Recurrent Neural Networks
1:38 A friendly introduction to Deep Learning and Neural Networks
2:11 Vectors
5:22 Perfect Roommate
7:13 Simple Neural Network
7:54 Simple (Recurrent) Neural Network
10:03 Cooking Schedule
11:47 More Complicated RNN
12:06 Food
13:31 Weather
14:38 Add
16:02 Merge
20:53 Start with random weights
21:05 Use Gradient Descent
21:41 New Error Function

In this video, learn how to build your own Small Language Model (SLM) from scratch using Python, PyTorch, and Hugging Face datasets. We’ll walk through every step — from data collection and preprocessing to tokenization, transformer architecture, and model training.

You’ll discover how a compact 10–15 million parameter model can still generate coherent and meaningful text, using concepts inspired by GPT models. This tutorial simplifies complex AI topics like embedding layers, attention mechanisms, loss computation, and next-token prediction — all explained clearly with working code examples.

🔹 Topics Covered:

What are Small Language Models (SLMs)?

Using the TinyStories dataset from Hugging Face

Tokenization with OpenAI’s tiktoken library

Creating .bin training files for efficient processing

Building a Transformer architecture step-by-step

Implementing GPT-like attention blocks

Training configuration and hyperparameter tuning

Generating text from your trained SLM

🎯 Perfect for AI researchers, ML engineers, and enthusiasts who want to understand how GPT-style models actually work under the hood — without requiring massive GPUs or billion-parameter setups.

#SmallLanguageModel #BuildLLM #GPT2Tutorial #TransformerModel #PyTorch #AIML #DeepLearning #NLP #HuggingFace #TrainYourOwnGPT #SLM #LanguageModel #MachineLearning #ArtificialIntelligence #NanoGPT #AIProjects #PythonCoding #AICoding #OpenSourceAI #generativeai

n8n Tutorial for Beginners 2026: How to Build AI Agents
✅ self-host n8n and save tons of money with Hostinger: http://hostinger.com/youri10

In this video, I show you how to build your own AI agent in n8n from scratch, self-host it on Hostinger for unlimited executions, and automate tasks that normally waste hours every week. You’ll learn how to set up a VPS with one-click n8n installation, connect OpenAI models and memory, add real-world tools like Google Search, and turn the output into clean newsletters automatically sent to your inbox.

for inquiries: youri (at) mediaflow.group

What exactly is Agentic AI? In this video, we will go through an extremely simple explanation of Agentic AI. We will compare Agentic AI systems with Workflows that use LLMs but are not agentic in nature.

00:00 Introduction
00:13 RAG Based AI System
01:06 Tool Augmented AI System
02:08 Agentic AI System
08:02 Agentic AI Apps with Code
09:31 Low Code Agentic AI
11:16 AI Agent vs Agentic AI
11:42 Gen AI vs Agentic AI

Anthropic agent guide: https://www.anthropic.com/engi....neering/building-eff
RAG and tool ammended AI system project 1: https://youtu.be/CO4E_9V6li0?si=4BhXW9c6HnPC2uww
RAG and tool ammended AI system project 2: https://youtu.be/jLM6n4mdRuA?si=oKer2d5eyixiTgF5
Agno reasoning agent: https://docs.agno.com/reasonin....g/reasoning-agents#r

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Do you want to learn technology from me? Check https://codebasics.io/?utm_source=description&utm_medium=yt&utm_campaign=description&utm_id=description for my affordable video courses.

Need help building software or data analytics/AI solutions? My company https://www.atliq.com/ can help. Click on the Contact button on that website.

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------

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🔗 Patreon: https://www.patreon.com/codeba....sics?fan_landing=tru

MIT 15.773 Hands-On Deep Learning Spring 2024
Instructor: Rama Ramakrishnan
View the complete course: https://ocw.mit.edu/courses/15....-773-hands-on-deep-l
YouTube Playlist: https://www.youtube.com/playli....st?list=PLUl4u3cNGP6

Introduction to natural language processing, including vectorization, the bag-of-words model, and includes demonstration in CoLab.

License: Creative Commons BY-NC-SAMore information at https://ocw.mit.edu/termsMore courses at https://ocw.mit.eduSupport OCW at http://ow.ly/a1If50zVRlQ

We encourage constructive comments and discussion on OCW’s YouTube and other social media channels. Personal attacks, hate speech, trolling, and inappropriate comments are not allowed and may be removed. More details at https://ocw.mit.edu/comments.

(March 29, 2010) Stanford professor Robert Sapolsky gave the opening lecture of the course entitled Human Behavioral Biology and explains the basic premise of the course and how he aims to avoid categorical thinking.

Stanford University
http://www.stanford.edu

Stanford Department of Biology
http://biology.stanford.edu/

Stanford University Channel on YouTube
http://www.youtube.com/stanford

Learn how to talk Machine Learning with the best of them. I demystify the magic of deep learning and explain the buzz words