Welcome, to the Building with Instruction-Tuned LLMs: A Step-by-Step Guide workshop!

We will be taking questions during the event. Please submit your question or upvote others' here:
https://app.sli.do/event/erFLUz3s8yWhRZkFAkSx9b

Speakers
Dr. Greg Loughnane, Head of Product & Curriculum at FourthBrain
https://www.linkedin.com/in/gregloughnane/

Chris Alexiuk, is an LLM Instructor at FourthBrain
https://www.linkedin.com/in/csalexiuk/

Let us know how we're doing? We will be giving out discount codes for a selected number of people who fill out the survey:
https://forms.gle/qzBWfovxPTLPeVRN6

Looking to connect with your peer learners, share projects, and swap advice? Join our AI community:
https://community.deeplearning.....ai/invites/VVGtXQuW

To learn more about us and signup for future events:
https://www.deeplearning.ai/events/

#sponsored Redeem IAMAIMASTER50 to save 50% on our Starter and Standard Plans for the first 3 months (only applicable to new paying customers) https://www.brevo.com/partners/iamaimaster/?utm_medium=partnership&utm_source=iamaimaster&utm_campaign=youtube (@brevo_official)

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You're probably using Claude like a chatbot. Same model, same subscription — but agents can open your browser, run 10 tasks at once, and finish a week of work before lunch.

This is the complete guide to agentic AI in 2026: how to create AI agents, how agents actually work, which platforms are worth your time, and the prompt structure that makes them actually deliver.

▶ WHAT'S IN THIS VIDEO
• What separates a chatbot from a real AI agent (LLM + tools + memory + goals loop)
• Claude Code — Anthropic's reasoning agent, and why it's not just for coding
• OpenAI Codex — lowest-friction entry if you already pay for ChatGPT
• OpenClaw — open-source agent that lives inside Telegram, WhatsApp, iMessage
• Google Antigravity — visual agent built on Gemini, best for front-end and design
• Prompt Contracts: Goal → Constraints → Format → Failure (the 4-part structure that stops agents from going off the rails)
• Memory files: teach your agent once and never repeat yourself

⏱️ TIMESTAMPS:
00:00 - The most expensive AI mistake right now
01:21 - What an AI agent actually is
03:30 Claude Code — install & first run
06:45 OpenAI Codex — install & first run
09:07 OpenClaw — install & first run
12:25 Google Antigravity — install & first run
16:44 Prompt Contracts: the 4-section structure
21:53 Memory files: teach once, never repeat

#AIAgents #ClaudeCode #AIAutomation #Brevo

Learn Agentic AI using a popular framework langgraph. In this agenti ai tutorial for beginners, we will start with agentic AI basics and then we will dive deeper into langgraph by covering a wide range of topics.

👉 Check out PyCharm, the IDE built for data science and AI/ML professionals: https://jb.gg/try-pycharm-now

👉 Download PyCharm and use it for free forever, plus a one-month Pro subscription is included.

Code: https://github.com/codebasics/....langgraph-crash-cour

00:00 Introduction
00:40 Agentic AI Basics
00:00 What is Langgraph
07:41 Langchain vs Langgraph
13:08 Installation and Setup
19:00 Simple Graph
31:36 Graph with Condition
36:55 Chatbot in Langgraph
45:38 Chatbot with Tool
56:03 Memory
1:05:05 Tracing with Langsmith
1:10:11 Human in the Loop

Do you want to learn technology from me? Check https://resources.codebasics.io/rS9B09 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.

🎥 Codebasics Hindi channel: https://www.youtube.com/channe....l/UCTmFBhuhMibVoSfYo

#️⃣ Social Media #️⃣

🧑‍🤝‍🧑 Discord for Community Support: https://discord.gg/r42Kbuk
📸 Codebasics' Instagram: https://www.instagram.com/codebasicshub/
📝 Codebasics' Linkedin : https://www.linkedin.com/company/codebasics/

------

📝 Dhaval's Linkedin : https://www.linkedin.com/in/dhavalsays/
📝 Hem's Linkedin: https://www.linkedin.com/in/hemvad/

📽️ Hem's Instagram for daily tips: https://www.instagram.com/hemvadivel/
📸 Dhaval's Personal Instagram: https://www.instagram.com/dhavalsays/

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

I sit down with my dear friend Vin (Internet Vin) for a deep, hands-on walkthrough of how he uses Obsidian and Claude Code together as a thinking partner, idea generator, and personal operating system. Vin demonstrates live how Claude Code can read, reference, and surface patterns across an entire Obsidian vault of interlinked markdown files — turning years of personal notes into actionable insights, project ideas, and even custom commands. This episode covers everything from the basic setup to advanced workflows like tracing how ideas evolve over time, generating contextual startup ideas, and delegating tasks to autonomous agents. If you are serious about getting the most out of LLMs, this is the episode that shows you how your own writing becomes the fuel.

Timestamps
00:00 – Intro
02:10 – What Is Claude Code?
06:45 – What Is Obsidian?
10:28 – Obsidian CLI: Giving Claude Code Access to Your Vault
14:53 – Thinking Tools: Ghost, Challenge, Emerge, Drift, Ideas, Trace
22:51 – The Role of Reflection in Building a Powerful Vault
25:15 – How This Relates to OpenClaw (Autonomous Agents)
29:13 – Live Demo: /Connect — Bridging Two Domains
31:25 – Meeting Notes & External Info
33:23 – Why Vin Keeps a Strict Separation: Human-Written vs. Agent-Written
35:42 – How Claude Code uses Obsidian
41:46 – Live Demo: /Ideas — Generating Actionable Ideas from Your Vault
47:10 – The /Graduate Command
50:29 – Why Obsidian Is the Missing Link for AI Companies
54:53 – The Alpha: Why 99.99% of People Won't Do This
57:38 – Closing Thoughts & Where to Follow Vin

Key Points

* Claude Code is a command-line agent that can control your computer through natural language — and its power multiplies when you feed it rich, persistent context files instead of re-explaining projects every session.
* Obsidian is uniquely valuable because it sits on top of interlinked markdown files; the new Obsidian CLI lets Claude Code see both the files and the relationships between them.
* Vin built custom slash commands (/trace, /connect, /ideas, /ghost, /drift, /challenge) that let him use Claude Code as a thinking partner — surfacing latent patterns, contradictions, and ideas he would never see on his own.
* Writing and daily reflection are the engine of the entire system: the more you write, the more context the agent has, and the more it can do for you.
* Markdown files are the real oxygen of LLMs; if you are serious about building a personal OS with AI, a centralized note-taking tool built on markdown is foundational

Numbered Section Summaries

1. Obsidian as an Interlinked Knowledge Base

Vin introduces Obsidian as an interface that sits on top of a folder of markdown files, with the critical addition of backlinks — connections between files that mirror how the brain forms associations. He walks through his own vault, showing how daily notes, project files, and notes on people all link together in a visual graph.

2. Obsidian CLI: The Bridge Between Your Vault and Claude Code

The real breakthrough comes from Obsidian CLI, which gives Claude Code access to both the files and their interrelationships. This means the agent can see that a note about filmmaking is connected to a note about world building, and can surface cross-domain patterns you have been circling for months without realizing it.

3. Custom Slash Commands as Thinking Tools

Vin demonstrates a suite of custom commands he built: /context loads his full life and work state; /today pulls calendar, tasks, and daily notes into a prioritized plan; /trace tracks how an idea has evolved over time; /connect bridges two domains using the vault's link graph; /ghost answers a question the way Vin would; /challenge pressure-tests his current beliefs. These turn Claude Code from a generic assistant into a deeply personalized thinking partner.

4. Markdown Files as the Foundation of the AI Era

I make the case that if you are serious about using LLMs to their full potential, a centralized markdown-based note-taking system is table stakes. Writing and reflection are the raw material; files are perfect memory where human recall is flawed; and the 99.99% of people who skip this step are leaving massive value on the table.

The #1 tool to find startup ideas/trends - https://www.ideabrowser.com/
LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/
The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/

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

FIND VIN ON SOCIAL
X: https://x.com/internetvin
Youtube: https://www.youtube.com/@otherstuffpod
Personal Website: https://internetvin.com/Index

Cute Baby Animals 4K Video Ultra HD | Wildlife 4K UHD | Cinematic Video

There is nothing sweeter and more beautiful than children. Babies of all animals look very helpless, charming and funny.

Subscribe to our channel, let's travel around the world together!

Thanks for watching! ☺
________________________________

More our videos:

Macro in Nature 4K: https://youtu.be/qnL1PP12KzU

Pink Flamingo 4K Video: https://youtu.be/AdFnYJZooF8

Hong Kong 4K Video: https://youtu.be/822UfcAUKGw

The Dolomites 4K: https://youtu.be/1XjbvpzuD1s

Tokyo 4K Video: https://youtu.be/gaN1H4V_nqg

Poland 4K Video: https://youtu.be/zCRv8haPwNs

Seychelles 4K Video: https://youtu.be/xCFU8m1czc0

Rio de Janeiro 4K: https://youtu.be/q84F3zT9Y74

Prague 4K Video: https://youtu.be/7id2ZJn8cgY

Iceland Volcano Eruption 4K: https://youtu.be/EhCLzuHsphE

Georgia 4K Video: https://youtu.be/VZ3M7uZ4IyE
________________________________
Copyright information:
▶ All Footage and Music used In this video Is Licensed
▶ All Footage Was Edited And Color Corrected By Me
▶ I Use Paid Footage In My Channel
_______________________________
Relevant hashtags:
#Animals #baby #babyanimals #littleanimals #wildlife #wildanimals #nature #4k #4kvideo #cinematicvideo #uhd #video4k #travel #aroundtheworld #virtualtour

How far away are we from AGI? Does OpenAI have the right approach? Or will someone else get there first?

Are models like Dall-E, ChatGPT, and GPT-4 the way to get there?

Leave a comment below with what you think!

00:00 Intro
00:42 What is AGI?
01:08 OpenAI’s Origin Story
02:25 Enter GPT and Dall-E
03:15 OpenAI’s Roadmap
04:33 Closing Thoughts

Please like this video and subscribe to my channel if you want to see more videos like this!

Follow me on other platforms so you’ll never miss out on my updates!

💌 Sign up for my newsletter! https://alexchao.substack.com/subscribe
🐦 Follow me on Twitter https://twitter.com/alexchaomander
👥 Connect with me on LinkedIn https://www.linkedin.com/in/alexchao56/

Sources:
Planning for AGI and Beyond (https://openai.com/blog/planni....ng-for-agi-and-beyon

McKinsey's executive primer on artificial general intelligence
(https://www.mckinsey.com/capab....ilities/operations/o

Contrary Research’s report on Open AI
(https://research.contrary.com/reports/openai)

Dive into the world of Language Model as I guide you through the process of training a small language model using GPT-2! In this tutorial, we'll explore how to leverage the powerful distilgpt2 transformer to understand diseases and symptoms better.

📋 Tutorial Highlights:

Dataset Loading: Learn how to load a relevant dataset on diseases and symptoms from Hugging Face datasets.
Tokenization and Model Setup: Understand the crucial steps of tokenization using GPT-2's tokenizer and initializing the language model.
Training Loop: Walk through the training loop, exploring each epoch, monitoring training and validation losses, and ensuring your model is learning effectively.
Hyperparameter Tuning: Fine-tune your model by adjusting batch sizes, learning rates, and more.
Text Generation: Witness the power of your trained model by generating meaningful text based on input strings.

🤖 Why Train a domain specific Language Model like MedLLM?
Training a language model allows you to teach your model about the relationships between diseases and symptoms, enabling it to generate informative and context-aware responses.

🔔 Don't forget to like, comment, and subscribe for more exciting tutorials on Gen AI and machine learning! Your support keeps the channel thriving.

Join this channel to get access to perks:
https://www.youtube.com/channe....l/UC-zVytOQB62OwMhKR

📁 Download Code: https://github.com/AIAnytime/T....raining-Small-Langua
📚 Resources:
Hugging Face Model: https://huggingface.co/distilgpt2
Dataset Source: https://huggingface.co/dataset....s/QuyenAnhDE/Disease

#generativeai #llm #ai

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
Apply for my YT podcast: https://podcast.nateherk.com/apply
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My Tools💻
FREE MONTH voice to text: https://get.glaido.com/nate
Code NATEHERK for 10% off VPS (annual plan): https://www.hostinger.com/vps/claude-code-hosting



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

In this video I explain how Word2Vec works and it's two model variants in Continuous Bag of words (CBOW) and Skip-Gram. I also give an intuitive understanding of what embeddings are, why they are important as this is fundamentally what this algorithm is trying to learn.

Timestamps:
0:00 - Introduction to Word2vec
0:54 - Understanding Embeddings
5:20 - CBOW model of Word2Vec
8:46 - Skip-Gram model of Word2Vec
9:34 - Outro

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

Covers transfer learning, convolutional neural network (CNN) models, pooling layers, and application examples, including a handbags-shoes classifier.

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.

GStack is an open-source toolkit built by YC President & CEO Garry Tan that turns Claude Code into an AI engineering team — with skills for office hours, design, code review, QA, and browser testing.

Use it with Claude Code or Codex or Cursor. It's free and open source: https://github.com/garrytan/gstack

In this video, Garry walks through how GStack works, starting with Office Hours, a skill modeled after real YC partner sessions that pressure-tests your idea before you write a line of code. He demos it live, going from idea through adversarial review, design mockups, and automated QA in a single session.

00:00 – AI Just Changed Coding Forever
00:09 – From YC to Building With AI
01:07 – Why AI Coding Feels So Different
02:45 – Turning AI Into a Real Team (GStack)
03:45 – Let’s Build an App Live
05:23 – The Question That Kills Most Ideas
07:13 – This Idea Just Got Way Bigger
08:38 – The “Feels Illegal” AI Hack
10:50 – Upgrading the Idea in Real Time
12:44 – Breaking + Fixing the Plan
14:25 – AI Designs the App
16:59 – The Full System Explained
18:00 – Running Multiple AI Engineers
20:00 – Shipping 10x Faster
21:20 – The Only Thing That Matters Now

Apply to Y Combinator: https://www.ycombinator.com/apply
Work at a startup: https://www.ycombinator.com/jobs

https://www.conductor.build/

A video about reinforcement learning, Q-networks, and policy gradients, explained in a friendly tone with examples and figures.

Introduction to neural networks: https://www.youtube.com/watch?v=BR9h47Jtqyw

Introduction: (0:00)
Markov decision processes (MDP): (1:09)
Rewards: (5:39)
Discount factor: (8:51)
Bellman equation: (10:48)
Solving the Bellman equation: (12:43)
Deterministic vs stochastic processes: (16:29)
Neural networks: (19:15)
Value neural networks: (21:44)
Policy neural networks: (25:44)
Training the policy neural network: (30:46)
Conclusion: (34:53)

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

Boris Cherny is the creator and head of Claude Code at Anthropic. What began as a simple terminal-based prototype just a year ago has transformed the role of software engineering and is increasingly transforming all professional work.

*We discuss:*
1. How Claude Code grew from a quick hack to 4% of public GitHub commits, with daily active users doubling last month
2. The counterintuitive product principles that drove Claude Code’s success
3. Why Boris believes coding is “solved”
4. The latent demand that shaped Claude Code and Cowork
5. Practical tips for getting the most out of Claude Code and Cowork
6. How underfunding teams and giving them unlimited tokens leads to better AI products
7. Why Boris briefly left Anthropic for Cursor, then returned after just two weeks
8. Three principles Boris shares with every new team member

*Brought to you by:*
DX—The developer intelligence platform designed by leading researchers: https://getdx.com/lenny
Sentry—Code breaks, fix it faster: https://sentry.io/lenny
Metaview—The AI platform for recruiting: https://metaview.ai/lenny

*Episode transcript:* https://www.lennysnewsletter.c....om/p/head-of-claude-

*Archive of all Lenny's Podcast transcripts:*
https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0

*Where to find Boris Cherny:*
• X: https://x.com/bcherny
• LinkedIn: https://www.linkedin.com/in/bcherny
• Website: https://borischerny.com

*Where to find Lenny:*
• Newsletter: https://www.lennysnewsletter.com
• X: https://twitter.com/lennysan
• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/

*In this episode, we cover:*
(00:00) Introduction to Boris and Claude Code
(03:45) Why Boris briefly left Anthropic for Cursor (and what brought him back)
(05:35) One year of Claude Code
(08:41) The origin story of Claude Code
(13:29) How fast AI is transforming software development
(15:01) The importance of experimentation in AI innovation
(16:17) Boris’s current coding workflow (100% AI-written)
(17:32) The next frontier
(22:24) The downside of rapid innovation
(24:02) Principles for the Claude Code team
(26:48) Why you should give engineers unlimited tokens
(27:55) Will coding skills still matter in the future?
(32:15) The printing press analogy for AI’s impact
(36:01) Which roles will AI transform next?
(40:41) Tips for succeeding in the AI era
(44:37) Poll: Which roles are enjoying their jobs more with AI
(46:32) The principle of latent demand in product development
(51:53) How Cowork was built in just 10 days
(54:04) The three layers of AI safety at Anthropic
(59:35) Anxiety when AI agents aren’t working
(01:02:25) Boris’s Ukrainian roots
(01:03:21) Advice for building AI products
(01:08:38) Pro tips for using Claude Code effectively
(01:11:16) Thoughts on Codex
(01:12:13) Boris’s post-AGI plans
(01:14:02) Lightning round and final thoughts

*Referenced:*
• Cursor: https://cursor.com
• The rise of Cursor: The $300M ARR AI tool that engineers can’t stop using | Michael Truell (co-founder and CEO): https://www.lennysnewsletter.com/p/the-rise-of-cursor-michael-truell
• Anthropic: https://www.anthropic.com
• Anthropic’s CPO on what comes next | Mike Krieger (co-founder of Instagram): https://www.lennysnewsletter.com/p/anthropics-cpo-heres-what-comes-next
• Claude Code Is the Inflection Point: https://newsletter.semianalysi....s.com/p/claude-code-
• Spotify says its best developers haven’t written a line of code since December, thanks to AI: https://techcrunch.com/2026/02..../12/spotify-says-its
• Anthropic co-founder on quitting OpenAI, AGI predictions, $100M talent wars, 20% unemployment, and the nightmare scenarios keeping him up at night | Ben Mann: https://www.lennysnewsletter.com/p/anthropic-co-founder-benjamin-mann
• Haiku: https://www.anthropic.com/claude/haiku
• Sonnet: https://www.anthropic.com/claude/sonnet
• Opus: https://www.anthropic.com/claude/opus
• Jenny Wen on X: https://x.com/jenny_wen
• Johannes Gutenberg: https://en.wikipedia.org/wiki/Johannes_Gutenberg
• Anthropic jobs: https://www.anthropic.com/careers/jobs
• Lenny’s AI poll post on X: https://x.com/lennysan/status/2020266745722991051
• Fiona Fung on LinkedIn: https://www.linkedin.com/in/fionafung
• Brandon Kurkela on LinkedIn: https://www.linkedin.com/in/bkurkela
• Cowork: https://www.anthropic.com/webinars/future-of-ai-at-work-introducing-cowork
• Chris Olah on X: https://x.com/ch402
• The Bitter Lesson: http://www.incompleteideas.net..../IncIdeas/BitterLess
...References continued at: https://www.lennysnewsletter.c....om/p/head-of-claude-

_Production and marketing by https://penname.co/._
_For inquiries about sponsoring the podcast, email [email protected]._

Lenny may be an investor in the companies discussed.

🔥 Professional Certificate Program In Generative AI And Machine Learning (India Only) - https://www.simplilearn.com/iitr-generative-ai-machine-learning-program?utm_campaign=19June2024LGLoopEvening1-Nre_UBhOWOY&utm_medium=DescriptionFirstFold&utm_source=youtube
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ChatGPT Full Course 2024 by simplilearn is a latest variant of ChatGPT Full Course. the couse will guide the aspiring AI Engineers to learn the critical AI and machine learning and ChatGPT AI models from the very Basic To Advanced This ChatGPT Tutorial by simplileatn will cover how to use ChatGPT 4 Omni, Data Analysis with chatGPT, programming with chatgpt, automation with chatgpt and much more. The ChatGPT full course with 4 Omni demonstration will cover the following topics:

00:00:00 ChatGPT Full Course For Beginners 2023
00:02:22 Top AI Tools
00:00:07:50 What is GPT 4?
00:13:52 Automate Excel using ChatGPT
01:24:12 How to Build a Website Using ChatGPT
02:06:35 How To Use ChatGPT For Web Development
02:32:22 Can ChatGPT Solve LeetCode Problems?
04:02:21 Create a Telegram Bot Using ChatGPT
04:19:21 Automate WhatsApp using ChatGPT
04:29:45 Build a Game using Python and ChatGPT
04:54:25 ChatGPT in Cybersecurity
05:24:09 ChatGPT for UI/UX Design
06:10:28 How to use ChatGPT for SEO?
07:02:19 Chat GPT for Content Creation
07:06:14 Master SEO Content Using ChatGPT
7:11:53 Explore 10 Mind-Blowing GPTs Inside ChatGPT - WebPilot Will Amaze You
7:23:43 OpenAI ChatGPT-4o
7:40:21 How To Use ChatGPT Memory ?
7:45:51 ChatGPT For Voice Activated AI Assiatant
7:58:04 How To Use ChatGPT Plugins - Step-By-Step Guide
8:07:15 ChatGPT 4.0 vs Gemini 1.5
8:17:11 WEB SCRAPPING Using CHATGPT
8:21:38 How To Use AI In Excel ?
8:52:36 ChatGPT Made This Excel Dashboard 😱😱
9:03:03 How To Write Resume Using ChatGPT
9:08:40 What Is Multimodal AI?

✅Subscribe to our Channel to learn more about the top Technologies: https://youtube.com/@Simplilea....rnOfficial?si=C_aAoj

#ChatGPT #CHatGPTFullCourse #Chatgpt4o #AI #2024 #Simplilearn

➡️ About Artificial Intelligence Engineer

This Artificial Intelligence Engineer course Created in partnership with IBM, this course introduces students to blended learning and prepares them to be AI and Data Science specialists. In Armonk, New York, IBM is a significant cognitive service and integrated cloud solution firm that provides many technology and consulting solutions.

IBM is a leader in AI and Machine Learning technology verticals for 2021. This AI masters course will prepare students for Artificial Intelligence and Data Analytics careers.

✅ Key Features

- Add the IBM Advantage to your Learning
- 25 Industry-relevant Projects and Integrated labs
- Immersive Learning Experience
- Simplilearn's JobAssist helps you get noticed by top hiring companies

✅ Skills Covered

- ChatGPT
- Flask
- Matplotlib
- django
- Python
- Numpy
- Pandas
- SciPy
- Keras
- OpenCV
- And Many More…

👉 Enroll Now: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=19June2024LGLoopEvening1-Nre_UBhOWOY&utm_medium=Description&utm_source=youtube

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

✅ Inspiring Success Stories of Simplilearn's Learners: https://www.simplilearn.com/reviews?utm_campaign=19June2024LGLoopEvening1-Nre_UBhOWOY&utm_medium=Description&utm_source=youtube

🔥Certified ScrumMaster (CSM) Certification Training - https://www.simplilearn.com/agile-and-scrum/csm-certification-training?utm_campaign=QvhPNI5WkD0&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Professional Scrum Master PSM Certification Training Course - https://www.simplilearn.com/professional-scrum-master-psm-certification-training-course?utm_campaign=QvhPNI5WkD0&utm_medium=DescriptionFirstFold&utm_source=Youtube

This Agile Full Course video by Simplilearn will help you learn everything about AGILE Methodologies. We’ll start with an Introduction to Agile Full Course, laying the groundwork for understanding Agile principles. Next, we’ll cover What is Agile Methodology to grasp its core concepts, followed by Agile Principles that guide successful Agile projects. Moving ahead, we’ll dive into Agile Scrum Basics and a Scrum Meeting Tutorial for Beginners to learn the essentials of Scrum practices. Then, we’ll explore a Product Backlog Tutorial to understand how tasks are prioritized and organized. Finally, we’ll cover the Top 10 Project Management (PM) Tools that support Agile teams in staying organized and efficient throughout projects.

The course will cover the following topics:

00:00:00 Introduction to Agile Full Course
00:05:51 What is Agile Methodology
00:08:21 Scrum Meeting Tutorial For Beginners
02:34:20 Agile Scrum Basics
02:43:41 Agile Principles
03:30:25 Agile Scrum Course For Beginners
03:37:06 Product Backlog Tutorial
04:01:19 Top 10 PM Tools

✅ what is agile?
Agile is a project management approach that focuses on collaboration, adapting to change, and quick delivery. It was originally developed for software development, but is now used for many different types of projects and organizations.

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

⏩ Check out the Agile Scrum training videos: https://bit.ly/3f9kzF3

#agile #agilescrumtraining #agileframework #agilemanagement #simplilearn #2024

⏩ Check out More SCRUM Videos By Simplilearn: https://www.youtube.com/playli....st?list=PLEiEAq2VkUU

➡️CSPO Certification Course Overview

Elevate your product expertise with our intensive CSPO training by global CSTs. Master Scrum, prioritize features, and drive customer satisfaction. Learn through activities, simulations, and real-world case studies. Unlock career growth with higher salaries, leadership opportunities, and a fulfilling journey as a product owner.

Key Features

✅ 16 hours of live instructor-led training
✅ Earn 16 SEUs and 16 PDUs for continual learning support
✅ Complimentary access to 15 value addition courses worth $500
✅ Immersive learning with games, role-plays, simulations, and case studies
✅ Sessions delivered by globally acclaimed and experienced Certified Scrum Trainers (CSTs)
✅ Earn a Scrum Alliance certificate with two-year membership

Skills Covered

✅ Scrum and Agile Framework
✅ Leadership skills to manage Agile teams
✅ Product Ownership
✅ Release Planning
✅ Release Management
✅ Stakeholder Management
✅ Product Testing

Learning Path
✅ Section 01: Self Paced Learning Curriculum
✅ Section 02: Live Class Curriculum
✅ Agile Scrum Foundation
✅ Agile Certified Practitioner (PMI-ACP)®
✅ PMI-RMP® Certification
✅ Financial modeling with excel advanced
✅ Lean Management
✅ Certification of Capability in Business Analysis (CCBA®)
✅ Introduction to Digital Marketing
✅ Introduction to Big Data and Hadoop
✅ Apache Cassandra
✅ AWS Cloud Technical Essentials
✅ Business Analytics with Excel
✅ Introduction to Artificial Intelligence
✅ Introduction to Robotic Process Automation (RPA)
✅ CAPM: Complimentary Learning

👉Learn More at: https://www.simplilearn.com/agile-and-scrum/csm-certification-training?utm_campaign=QvhPNI5WkD0&utm_medium=Description&utm_source=youtube

What are agentic AI and agentic operating systems? And what are their potential benefits, drawbacks and longer-term implications?

For further information, the websites and articles included in this video are as follows:

PROTOCOLS:

MCP website: https://modelcontextprotocol.i....o/docs/getting-start

Google announces the A2A protocol: https://developers.googleblog.....com/en/a2a-a-new-era

IBM’s ACP integrated into A2A: https://lfaidata.foundation/co....mmunityblog/2025/08/

A2A Protocol website: https://a2a-protocol.org/latest/


ORCHESTRATION PLATFORMS:

Microsoft AutoGen: https://www.microsoft.com/en-u....s/research/project/a

IBM WatsonX Orchestrate: https://www.ibm.com/products/watsonx-orchestrate

AWS Bedroom AgentCore: https://aws.amazon.com/bedrock/agentcore/

Google Vertex AI Agent Builder: https://cloud.google.com/products/agent-builder

Google Gemini Enterprise https://cloud.google.com/gemini-enterprise

AgentForce: https://www.salesforce.com/uk/agentforce/

Forethought: https://forethought.ai/

Origon AI: https://origon.ai/


AGENTIC OPERATING SYSTEMS:

“Making every Windows PC an AI PC”: https://blogs.windows.com/wind....owsexperience/2025/1

“Experimental Agentic Features” in Windows: https://support.microsoft.com/....en-us/windows/experi

Microsoft Agent 365: https://www.microsoft.com/en-u....s/microsoft-agent-36

MIT Sloan Management Review and BCG article on the agentic enterprise (inc survey): https://sloanreview.mit.edu/pr....ojects/the-emerging-

Apple working on MCP support for agentic AI: https://9to5mac.com/2025/09/22..../macos-tahoe-26-1-be


More videos on computing and related topics can be found at:
http://www.youtube.com/@ExplainingComputers

And more videos on film and other making, plus retro tech, can be found on my Christopher Barnatt channel: http://www.youtube.com/@ChristopherBarnatt

Chapters:
00:00 Titles & Intro
00:48 Agentic AI Basics
07:14 The Good
09:53 The Bad
11:48 The Ugly
13:22 The Future

#AgenticAI #agentic #Aiagent #agent #MCP #A2A #orchestration #ExplainingComputers

Welcome to the ultimate Claude Code Full Course! 🤯 In this video, we are building a fully autonomous AI Marketing Officer completely from scratch.

If you are looking for a Claude Code Crash Course for Beginners NOW, this is it. This Claude Code tutorial works as a complete Claude Code beginners guide, walking you through how to setup Claude Code in VS Code (Visual Studio Code). By the end of this video, you'll have a system where you can type one sentence, and Claude will research the topic, draft a week's worth of content (including visuals), and schedule it across your social media platforms.

This isn't just a coding tutorial; it’s a guide on how to use AI to have leverage and scale yourself. Whether you are wondering about Claude Code vs n8n for automation or just want to Master Claude Code in a few hours, this build-along guide covers it all.

In this deep-dive tutorial, we cover:

Claude Code Setup: Installing Claude Code, VS Code, and handling permissions safely.

Skills: Creating custom skills to generate posts from YouTube videos.

Brand Voice: Teaching the AI to write like you (or like Alex Hormozi/Justin Welsh).

Quality Gates: Using hooks to automatically check for bad formatting or banned words.

Sub-Agents: Running parallel agents to post to Twitter and LinkedIn simultaneously.

Claude Code Tips: Essential tricks from 500+ hours of usage.

Don't start your Claude Code course without watching this practical example of building a real-world tool using the Blotato API.


Timestamps

00:00 - Claude Code Full Course Intro & Demo
00:49 - Course Outline: Building an AI Marketing Officer
03:15 - How to Install Claude Code & VS Code Setup
06:34 - Managing Permissions & Safe Mode Prompts
09:24 - Claude Code Modes: Plan Mode vs. Edit Mode
11:23 - Managing Context Windows & Models (Opus 4.6)
13:09 - Building Skill #1: The Social Media 'Post' Skill
16:46 - Integrating the Blotato API for Visuals
24:00 - Testing the Post Skill with a YouTube Video
27:10 - Debugging Live: Handling API Errors
30:39 - Generating Content from Perplexity Search
32:35 - Adding Brand Voice (Alex Hormozi & Justin Welsh Styles)
36:51 - Setting up Quality Gates & Hooks (Validating Posts)
42:19 - Creating Sub-Agents for Cross-Platform Publishing
45:08 - Testing Parallel Publishing (Twitter & LinkedIn)
49:57 - Building Skill #2: The 'Plan Week' Automation
53:38 - Setting up Scheduling Slots for Batch Content
59:00 - Analyzing a 2-Hour Video for Content Angles
01:02:00 - Reviewing the Full Weekly Content Plan
01:07:54 - Creating the CLAUDE.MD Documentation File
01:11:36 - Next Steps & Repurposing this Tool

#ClaudeCode #AIAutomation #n8n
--

I'm Sabrina Ramonov. I'm on a mission to teach 1 million people AI. I'm also the solo founder of Blotato.com. It's a SaaS app for creators/entrepreneurs to go viral faster with AI, just like me (0 to 500k+ in 6 months solo).

How I got here…

0: Born in Quezon City, Philippines 🇵🇭
22 yrs old: Graduated UC Berkeley with degrees in Computer Science and Physics... and $250k in student loans.
23 yrs old: Started Qurious, as Founder/CEO, doing natural language processing (AI) in healthcare.
25 yrs old: Closed pilots with billion-dollar pharmaceutical companies, but failed to reach product market fit.
26 yrs old: Pivoted Qurious a lot, then settled on real-time call guidance for sales and customer support, combining streaming speech recognition (AI) and natural language processing (AI).
28 yrs old: Made the Forbes 30 Under 30 list, while living in a living room of 2BR San Francisco apartment.
30 yrs old: Sold 100% of Qurious to Pegasystems (NASDAQ: Pega) in cash and stock deal ($10M+ total).
31 yrs old: Integrated Qurious with Pegasystems Customer Service to launch Pega Voice AI, now used by 1000s of support agents.
32 yrs old: Started angel investing in VC/seed funds, crypto, and passion areas 🍄 while recovering from burnout by hiking, skiing, and reading. Dropped 50 lbs to get back in shape.
33 yrs old: Started making free content to teach 1 million people AI.
34 yrs old: 0 to 500k+ followers in 6 months with $0 budget, 0 team, $0 paid ads, 0 masterminds.

Today: Started https://Blotato.com to distribute 100+ pieces of content per week. 1000s of creators & entrepreneurs use Blotato to go viral faster with AI.

Get FREE AI prompts, playbooks, and agents 👉 https://sabrina.dev/p/free

🔥Purdue - Applied Generative AI Specialization - https://www.simplilearn.com/applied-ai-course?utm_campaign=-v9PiM6cqLM&utm_medium=DescriptionFirstFold&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=-v9PiM6cqLM&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Advanced Executive Program In Applied Generative AI - https://www.simplilearn.com/applied-generative-ai-course?utm_campaign=-v9PiM6cqLM&utm_medium=DescriptionFirstFold&utm_source=Youtube

The Generative AI Full Course 2025 by Simplilearn starts with an introduction to Generative AI, covering beginner tutorials and the AI career landscape in 2025. It delves into the Gen AI engineer roadmap, the top AI technologies, and Deepseek R1. Learners explore deep learning, GANs, transformers, and LLMs, along with Search GPT and Langchain. The course provides a strong foundation in machine learning, reinforcement learning, and benchmarking LLMs. Practical applications include ChatGPT analysis, OpenAI Sora, and Hugging Face tutorials. The course concludes with AI tools for job interviews, Agentic AI, Google Quantum AI, and deep learning interview questions.

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

00:00:00 Introduction to Gen AI Full Course 2025
00:04:37 What is Gen AI ?
00:05:22 Generative AI Tutorial For Beginners
00:16:24 AI Careers in 2025
00:24:33 Gen AI Engineer Roadmap
00:33:40 Top 10 AI Technologies in 2025
00:57:46 Introduction to Deepseek r1
01:04:45 Deep Learning Tutorial
01:13:02 What is Search GPT
01:15:17 Langchain Tutorial
02:11:52 Generative Adversarial Tutorial
02:21:14 What are GANS?
02:22:15 Transformers in AI
02:34:44 LSTM Tutorial
02:36:08 Introduction to LLM
03:37:21 What is Machine Learning?
04:33:53 Machine Learning Tutorial
06:39:16 Reinforcement Learning
06:59:07 ChatGPT Analyze
07:10:03 Openai sora
07:18:56 LLM Benchmarking
08:09:39 Hugging Face Tutorial
08:25:03 OpenAI ChatGPT o1 model
08:30:12 Gen AI Tools for Job Interview
09:07:14 Agentic AI Tutorial
09:15:37 Google Quantum AI
11:15:58 Deep learning Interview questions and Answers

✅ 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=MXzW_snCLAk&utm_medium=Description&utm_source=Youtube