best songs of the decade 2010-2019 #2 ~nostalgia vibes mix ~2010s summer roadtrip

Help me to get 100.000 subs: https://www.youtube.com/channe....l/UCBepjMYiqtq_u4ZFO

you are on a roadtrip summer night while listening to these nostalgic songs by Flo Rida, Pitbull, Ke$ha, Carly Rae Jepsen, Taylor Swift, Katy Perry, Miley Cyrus, Avicii, Adele, Ellie Goulding and many more!

All of the tracks used in my youtube playlists are copyrighted music, so if you see ads in my videos, it's because youtube places them automatically based on copyright-owners needs, I have no control over it, so sorry about that. My channel is NOT a monetized channel. My only goal is sharing nostalgic, road trip music for everyone!

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Follow Me On Socials ⤵️
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https://www.youtube.com/@albertolgaard

Chapters
00:00:00 Introduction
00:05:26 Finding and Closing 1st Client
00:46:20 Building and Selling the Demo
01:42:00 Live Sales Call
03:23:43 Cold Outreach
03:58:24 Full Technical Build
05:57:00 Mistakes, Niches and Pricing
06:27:06 Deployment, Going Live and Scaling

It’s been over a year since I last made a list like this so I decided to give it an update. I also decided to make this an annual list. The top 100 songs that I believe the most people in the world will recognize. I looked at charts, streams, sales, and overall pop culture relevance but at the end of the day, this is all just my opinion (which makes this list even more correct).

No Christmas songs, children’s songs, classical music, or film scores were included as that would take up 90% of the list and make it boring.

Spotify playlist: https://open.spotify.com/playlist/50ozhW6x8mS6r64G4Dru0c?si=5g86KH9nSOmyBnrC8UkbRA&pi=u-G6q8mcW6Sxab
Thumbnail: https://youtube.com/@Queen?si=vQYckgvP5U9G_4_E

Top 100 Most Recognizable Songs of All Time (2024 version)

#music #songs #top100

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐃𝐞𝐯𝐎𝐩𝐬 𝐜𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐭𝐫𝐚𝐢𝐧𝐢𝐧𝐠 : https://www.edureka.co/devops-....certification-traini (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
This Edureka "How to use GitHub" will give you a hands-on demonstration on how to access GitHub and work on its various operations. Learn about a GitHub repository, branches, make a commit, and also create and merge your very own pull request. The following are the topics covered in the tutorial:
00:000:00 Introduction
00:00:19 Agenda
00:00:54 The need for GitHub
00:03:22 What is GitHub
00:05:35 Getting Started
00:12:44 Create A Repository
00:18:13 Create A Branch
00:20:56 Make A Commit
00:25:15 Open & Merge Pull Request
00:28:22 Case Study

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

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐀𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐂𝐨𝐮𝐫𝐬𝐞 (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎) : https://www.edureka.co/advance....d-artificial-intelli
This video on "Deep Learning with Python" will provide you with detailed and comprehensive knowledge of Deep Learning, How it came into emergence. The various subparts of Data Science, how they are related, and How Deep Learning is revolutionalizing the world we live in. This Tutorial covers the following topics:
00:00:00 Introduction
00:01:49 Introduction To AI, ML, and DL
00:02:19 What is Deep Learning
00:07:30 Applications of Deep Learning
00:13:27 Structure of Perceptron
00:16:31 Demo: Perceptron from scratch
00:23:52 What is a Neural Network ?
00:26:35 Demo: Creating Deep Neural Nets

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📌𝐒𝐥𝐢𝐝𝐞𝐒𝐡𝐚𝐫𝐞: https://www.slideshare.net/EdurekaIN
📌𝐂𝐚𝐬𝐭𝐛𝐨𝐱: https://castbox.fm/networks/505?country=IN
📌𝐌𝐞𝐞𝐭𝐮𝐩: https://www.meetup.com/edureka/
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Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information.

I went from being a college dropout with zero technical skills to landing a software developer job in 4 months. This video is about how I became a self-taught software developer and how I learned how to code without a computer science degree or coding bootcamp.

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This Data Engineer Full Course video explains What Is Big Data, How to become a Data Engineer, skills required for Data engineering jobs, Big Data applications, introduction to Hadoop, Hadoop ecosystem, Spark, and top Hadoop interview questions. So, let's get started with this Data Tutorial For Beginners!

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00:00:00 Data Engineer Crash Course
00:03:44 What is Big Data?
00:07:32 Big Data Tools
00:10:17 Data Engineer Roadmap
00:24:24 Data Engineer Certifications
00:29:03 Top skills for Data Engineer
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Lean how to use FL Studio to produce music in this complete course for beginners. FL Studio is a complete software music production environment. It features a graphical user interface with a pattern-based music sequencer.

Tristan Willcox developed this course. You can email him at [email protected]

🔗 FL Studio: https://www.image-line.com/

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⭐️ Contents ⭐️
(0:00:00) Chapter 1: Virtual Instruments
(0:04:35) Chapter 2: Melodies and Chords
(0:30:52) Chapter 3: Using Patterns
(0:36:40) Chapter 4: Using Samples
(0:47:02) Chapter 5: Layering and Arranging
(1:00:12) Chapter 6: Leveling
(1:05:54) Chapter 7: Adding to the song
(1:42:55) Chapter 8: Mixing + FX
(1:58:21) Chapter 9: Automation
(2:07:07) Chapter 10: Mastering + Exporting

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This DevOps tutorial will help you understand what is DevOps, how is DevOps different from traditional IT, benefits of DevOps, the lifecycle of DevOps and tools used in DevOps processes. DevOps is one of the most trending IT jobs. It is a collaboration between development and operation teams which enables continuous delivery of applications and services to our end users. However, if you want to become a DevOps engineer, you must have knowledge of various DevOps tools (like Git, Maven, Selenium, Jenkins, Docker, Ansible, Nagios etc.) to achieve automation at each stage which helps in gaining Continuous Development, Continuous Integration, Continuous Testing and Continuous Monitoring in order to deliver a quality product to the client at a very fast pace. Now, let us get started and understand DevOps and does the various DevOps tools work.

Below are the topics explained in this DevOps tutorial:
1. What is DevOps? (07:19)
2. Benefits of DevOps (08:04)
3. Lifecycle of DevOps (09:48)
4. Tools in DevOps (11:05)
- Git (12:04)
- Maven (19:04)
- Selenium (28:29)
- Jenkins (41:22)
- Docker (51:18)
- Ansible (58:38)
- Nagios (01:04:08)

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This course from Harvard University explores the concepts and algorithms at the foundation of modern artificial intelligence, diving into the ideas that give rise to technologies like large language models, game-playing engines, handwriting recognition, and machine translation. Through hands-on projects, students gain exposure to the theory behind graph search algorithms, classification, optimization, reinforcement learning, and other topics in artificial intelligence and machine learning as they incorporate them into their own Python programs.

This course has been updated for 2023 to include an in-depth section on large language models.

✏️ Course developed by Brian Yu for Harvard University. Learn more about Brian: https://brianyu.me/

🔗 Course resources: https://cs50.harvard.edu/ai/2020/

⭐️ Course Contents ⭐️
⌨️ (00:00:00) Introuction
⌨️ (00:02:26) Search
⌨️ (01:51:55) Knowledge
⌨️ (03:39:39) Uncertainty
⌨️ (05:34:08) Optimization
⌨️ (07:18:52) Learning
⌨️ (09:04:41) Neural Networks
⌨️ (10:46:00) Language

🎉 Thanks to our Champion and Sponsor supporters:
👾 davthecoder
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👾 南宮千影
👾 Agustín Kussrow
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👾 Heather Wcislo
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--

Learn to code for free and get a developer job: https://www.freecodecamp.org

Read hundreds of articles on programming: https://freecodecamp.org/news

Learn the basics of Django by building a simple online marketplace where people can buy and sell items. You will learn how to implement:
- Authentication
- Communication between users
- Dashboard for your items
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- and more

✏️ The course is developed by CodeWithStein. Check out his channel:
https://www.youtube.com/c/CodeWithStein
CodeWithStein on twitter: https://twitter.com/codewithstein

💻 Code: https://github.com/SteinOveHelset/puddle

⭐️ Contents ⭐️
⌨️ (0:00:00) Demo
⌨️ (0:02:01) Introduction
⌨️ (0:02:20) Setting up
⌨️ (0:06:00) First app
⌨️ (0:24:51) Items
⌨️ (0:44:30) Item detail
⌨️ (0:55:56) Signing up
⌨️ (1:10:06) Logging in
⌨️ (1:15:44) Adding items
⌨️ (1:28:25) Dashboard
⌨️ (1:32:36) Delete items
⌨️ (1:36:58) Edit items
⌨️ (1:40:01) Searching
⌨️ (1:53:43) Communication
⌨️ (2:23:00) Summary

🎉 Thanks to our Champion and Sponsor supporters:
👾 Nattira Maneerat
👾 Heather Wcislo
👾 Serhiy Kalinets
👾 Erdeniz Unvan
👾 Justin Hual
👾 Agustín Kussrow
👾 Otis Morgan

--

Learn to code for free and get a developer job: https://www.freecodecamp.org

Read hundreds of articles on programming: https://freecodecamp.org/news

Learn bash scripting in this crash course for beginners. Understanding how to use bash scripting will enhance your productivity by automating tasks, streamlining processes, and making your workflow more efficient.

✏️ Course created by @Herbertech

💻 Code: https://github.com/herbertech/bash-intro-tutorial

⌨️ (00:00) Introduction
⌨️ (03:24) Basic commands
⌨️ (06:21) Writing your first bash script
⌨️ (11:29) Variables
⌨️ (14:55) Positional arguments
⌨️ (16:23) Output/Input redirection
⌨️ (23:23) Test operators
⌨️ (25:19) If/Elif/Else
⌨️ (28:37) Case statements
⌨️ (32:16) Arrays
⌨️ (34:12) For loop
⌨️ (36:03) Functions
⌨️ (41:31) Exit codes
⌨️ (42:30) AWK
⌨️ (45:11) SED

🎉 Thanks to our Champion and Sponsor supporters:
👾 Nattira Maneerat
👾 Heather Wcislo
👾 Serhiy Kalinets
👾 Erdeniz Unvan
👾 Justin Hual
👾 Agustín Kussrow
👾 Otis Morgan

--

Learn to code for free and get a developer job: https://www.freecodecamp.org

Read hundreds of articles on programming: https://freecodecamp.org/news

My FREE AI OS Course: https://www.skool.com/ai-automation-society/about
Full courses + unlimited support: https://www.skool.com/ai-autom....ation-society-plus/a
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Welcome to the most comprehensive free course on AI automation and AI agents for beginners using n8n.

In this 8+ hour deep-dive, I’ll walk you step-by-step through what you need to go from complete beginner to building and selling real AI-powered automations, no coding required.

We’ll cover what AI agents are, why they’re a smart investment right now, and how to use n8n to build powerful workflows with a free two-week trial.

You’ll learn n8n foundations, how to set up APIs and HTTP requests, and how to use tools like agent memory, multi-agent systems, and prompting to create scalable systems.

We’ll also explore essential concepts like webhooks, MCP servers, and self-hosting, plus a ton of advanced strategies packed into easy-to-follow lessons.

By the end of this course, you’ll have built over 15 working AI automations that you can use or sell. This video is insanely value-packed, so make sure to save it and come back to it whenever you hit a roadblock.

If you’re serious about mastering AI agents and automation, this course is the only one you’ll need.

Sponsorship Inquiries:
📧 [email protected]

Connect with me:
https://www.linkedin.com/in/nateherkelman/
https://x.com/nateherk
https://www.instagram.com/nateherk/

WATCH NEXT:
https://youtu.be/QhujcQk8pyU?si=kpGWo0cF4aiAaT68

TIMESTAMPS
00:00 Course Agenda (8+ Hours)
01:43 AI Agents Simplified
09:02 The Industry Opportunity
12:05 n8n Foundations (workflows, variables, JSON)
40:45 n8n Data Types
48:25 23 Workflow Templates FREE
49:09 Step by Step AI Workflows
51:25 1) RAG Pipeline & Chatbot
01:11:02 2) Customer Support Workflow
01:22:06 3) LinkedIn Content Creator Workflow
01:32:58 Bonus Workflow: Invoice Processing
02:09:54 APIs Explained Simply
02:34:21 Perplexity API Setup
02:40:36 Firecrawl API Setup
02:54:48 Apify API Setup
03:02:50 Image Generation API Setup
03:21:11 Video Generation API Setup
03:47:15 Don't Use AI Agents Wrong
04:00:26 Build Your First Agent!
04:24:06 Postgres & Supabase Setup
04:34:46 Multi Agent System Architecture
04:55:22 4 Agent Architectures
05:12:52 Prompting AI Agents
05:39:58 Output Parsing
05:46:25 Human in the Loop
06:02:16 Error Workflows
06:11:47 Dynamic Brain
06:25:03 Webhooks
06:31:24 Voice Email Agent
06:47:31 Front End w/ Lovable
07:06:59 What is MCP?
07:19:49 MCP & Self Host n8n Setup
07:45:05 Lessons from 6 Months of Building Agents
08:25:36 If You Made it Here, You Rock


Gear I Used:
Camera: Razer Kiyo Pro
Microphone: Blue Yeti USB

Get up and running with freeCodeCamp.org.
#freeCodeCamp.org is a resource for #learning how to #code.

I sit down with Remy Gaskell to break down how anyone can build AI agents to run entire departments of their business. Remy walks through the core concepts: agent loops, context files, memory, MCP tool connections, and skills. We put everything together by building a fully functional executive assistant live on screen. This is a beginner-friendly crash course that covers Claude Code, Codex, Cowork, Antigravity, Manus, and OpenClaw, showing that once you understand how to "drive," you can jump into any agent platform. By the end, listeners know exactly how to set up markdown-based context files, connect their everyday tools, and create reusable skills that compound over weeks and months.

Timestamps
00:00 – Intro
01:35 – Agents vs Chat
03:22 – The Agent Loop
05:46 – How Agents work
06:39 – Demoing Agents (Claude Code, Codex, Antigravity)
08:52 – Security and Agent Permissions
10:43 – Comparing Results Across Three Platforms
13:57 – Startup Idea: Cold Email Website Offer
14:50 – Folder Structure and Department-Based Agents
15:52 – Onboarding an Agent Like a Real Employee
17:05 – Voice-to-Text With Monologue and WhisperFlow
18:04 – Chat Memory vs. Agent Memory
19:34 – Building the agents md
22:20 – Context Engineering Over Prompt Engineering
24:29 – How Memory Compounds and Reduces Errors
30:27 – How Big Can memory md Get?
31:43 – Connecting Tools via MCP (Model Context Protocol)
34:49 – Working in Claude Code for High-Value Tasks
37:09 – Why the Real Value Is in Stacking, Not Summarizing
40:04 – What Are Skills? (SOPs for AI)
43:08 – Creating Skills
48:36 – Real-World Example: Ads Analyst Skill: 4-Hour Process in Minutes
50:37 – Chaining Skills together
52:01 – Real-World Example: Automated Car Search
53:34 – OpenClaw and Migrating Agents to More Autonomous Platforms
55:19 – Which Platform Should Beginners Start With?
56:28 – Global vs. Project-Level Skills, Context, and MCPs

Key Points

* Agent platforms (Claude Code, Codex, Cowork, Antigravity, Manus, OpenClaw) are all running the same observe-think-act loop under the hood — learning one means you can use any of them.
* The shift from chat to agents requires moving from prompt engineering to context engineering: load the agent with rich context so simple prompts produce excellent results.
* A memory md file creates a self-improving loop where the agent learns preferences across sessions and makes fewer errors over time.
* MCP (Model Context Protocol), built by Anthropic, acts as a universal translator between your agent and every tool it needs — Gmail, Calendar, Stripe, Notion, and more.
* Skills are reusable SOPs packaged as markdown files; once you explain a process once, you can invoke it repeatedly, and they compound as you add three to five per week.
* Scheduled tasks turn skills into automated workflows — morning briefs, car searches, ad library analyses — that run on a cron without any manual trigger.

Numbered Section Summaries

1. The Agent Loop in Action

Remy kicks off with a live demo, sending the same prompt — "build a minimalist portfolio site for Greg Isenberg" — to Claude Code, Codex, and Antigravity simultaneously. All three platforms run the same observe-think-act loop: research the subject, write the code, spin up a preview, and verify the result with a screenshot. The demo makes it tangible that every agent harness is just a different car with the same engine.

2. Onboarding Your Agent Like a Real Employee

Remy shows that without context, an agent asked to "write me a cold email" has no idea who you are or what you sell. The fix is an agents.md (or Claude.md) file — a persistent context document loaded at the start of every session. You fill it with your role, business details, tools, and working preferences, and the result is that a two-word prompt produces a fully informed output.

3. Memory That Compounds

Chat models store memory invisibly in the cloud; agents require you to build it intentionally. Remy adds a memory.md file and a simple instruction in the context file: "When I correct you or you learn something new, update memory.md." Preferences like tone, email sign-offs, and design choices persist across sessions, and errors decrease over time.


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FIND ME ON SOCIAL
X/Twitter: https://twitter.com/gregisenberg
Instagram: https://instagram.com/gregisenberg/
LinkedIn: https://www.linkedin.com/in/gisenberg/

FIND REMY ON SOCIAL
X:https://x.com/remy_gaskell
Youtube: https://www.youtube.com/@aiwithremy
Instagram: https://www.instagram.com/aiwithremy/

Remy is giving you The AI Agent OS Playbook, everything from this episode in one free PDF → https://openresidency.com/remy-gaskell-playbook?utm_source=youtube&utm_medium=description&utm_campaign=remy_gaskell_playbook

Remy Gaskell is a self-taught AI operator who teaches founders to run their businesses on AI agents.

Most founders type prompts into a chat box one at a time and start from zero every session. Remy runs at 5-10x the output because he stopped chatting and built an operating system his AI already understands. In this episode he takes the whole thing apart: the shift to agents, the exact files on his own machine, and how to build one yourself.

🧠 AI ONBOARD
You re-explain your business in every new chat because your AI forgets the second you close the window. AI Onboard is Remy's Claude Code plugin that builds your whole AI operating system in one guided session, so it never forgets again. Half off for our audience → https://openresidency.com/onboard?utm_source=youtube&utm_medium=description&utm_campaign=ai-onboard

⏱️ CHAPTERS
00:00:00 Trailer
00:01:21 The shift from chat to agents
00:04:04 What "agent" actually means
00:11:08 The observe-think-act loop
00:18:01 Live demo: analyzing an Instagram Reel
00:20:24 Tuning an agent vs building one
00:22:45 Context files and the CLAUDE.md
00:44:03 A memory system that improves itself
00:52:06 MCP connectors, the universal translator
00:59:21 Security and permissions
01:02:19 Starter tool stack, Apify to Composio
01:18:21 Skills as SOPs for your AI
01:47:34 The Agent OS folder structure
02:06:46 The future of teams and intrapreneurship
02:16:20 Quickfire questions

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Email: [email protected]

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