Enroll in this course on Google Cloud Skills Boost → https://goo.gle/3nXSmLs

Large Language Models (LLMs) and Generative AI intersect and they are both part of deep learning. Watch this video to learn about LLMs, including use cases, Prompt Tuning, and GenAI development tools.

Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech

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

A conceptual description of principal component analysis, including:
- variance and covariance
- eigenvectors and eigenvalues
- applications
As usual, very little formulas, lots and lots of pictures!

0:00 Introduction
0:46 Taking a picture
1:13 Dimensionality Reduction
2:02 Housing Data
5:09 Mean
7:46 Variance?
12:47 Covariance matrix
13:58 Linear Transformations
18:12 Eigenstuff
19:16 Eigenvalues
19:53 Eigenvectors
20:51 Principal Component Analysis (PCA)
26:05 Thank you!

This video is about the Discrete Fourier Transform.

Grokking Machine Learning Book:
https://www.manning.com/books/....grokking-machine-lea
40% discount promo code: serranoyt

00:00 Introduction
00:58 The Discrete Fourier Transform
06:08 The Inverse Discrete Fourier Transform
09:11 The Formula
14:23 Matrix Form
15:45 Next Steps

🚀 Small Language Models (SLMs): The Future of AI? 🤖

Most people think AI—like ChatGPT—needs huge servers and an internet connection. While that’s true for Large Language Models (LLMs), AI doesn’t have to be massive!

Introducing Small Language Models (SLMs)—AI that’s lightweight, efficient, and runs entirely offline. 📱💡

🔍 What You’ll Learn in This Video:
✅ SLMs vs. LLMs – What’s the difference?
✅ How SLMs work – Train them on your data for specific tasks.
✅ Real-world examples – AI for customer support, healthcare, and education.
✅ Why SLMs are the future – Privacy-friendly, low-energy, and cost-effective!

🌎 Why This Matters:
Unlike LLMs that require cloud computing, SLMs can run directly on your phone, laptop, or even a Raspberry Pi! No internet needed, no privacy concerns, and perfect for businesses, remote areas, and industries with strict data security requirements.

💡 SLMs Are Changing AI Forever!
• Instant AI-powered customer support 🏢
• Medical assistance in remote areas 🏥
• Personalized education tools for students 📚
• Energy-efficient AI for sustainability 🌱

Host your n8n agents on Hostinger: https://www.hostinger.com/david
Use code David ;)

Learn about the best AI Business models here - https://www.youtube.com/watch?v=Ta5g-OxjPO4

Wanna learn how to code with AI? Go here: https://www.skool.com/new-society

Follow me on Instagram - https://www.instagram.com/davidondrej1/
Follow me on Twitter - https://x.com/DavidOndrej1

Subscribe if you're serious about AI.

This is the ultimate guide about AI Agents.

www.vectal.ai

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

In recent years, the spotlight in AI has primarily been on large language models (LLMs) and emerging large multi-modal models (LMMs). Now, building on these tools, a new paradigm is emerging with the rise of AI agents and agentic reasoning, which are proving to be both cost-effective and powerful for building numerous new applications. As AI continues to evolve, data across all industries, particularly unstructured data such as text, images, video, and audio, is becoming more critical than ever. In this keynote session from BUILD 2024, Andrews Ng, Founder and Executive Chairman of Landing AI, explores the rise of AI, agents, and the growing role of unstructured data. He also discusses how this convergence will shape automation and application building across industries.

Andrew Ng will be a featured speaker at Snowflake Dev Day 2025. Join us on June 5 in San Francisco. Registration is free and open now: https://www.snowflake.com/en/summit/dev-day

Watch the Snowflake Summit 2024 Opening Keynote featuring Snowflake CEO Sridhar Ramaswamy and OpenAI CEO Sam Altman, moderated by Sarah Guo, founder and managing partner of Conviction here: https://youtu.be/gJf39VG87O8

Check out Andrew Ng speaking about AI agentic workflows and their potential for driving AI progress here:
👉 https://www.youtube.com/watch?v=q1XFm21I-VQ

Register to watch more BUILD on-demand here:
👉 https://www.snowflake.com/build/

Enroll in the "Introduction to Generative AI with Snowflake" course on Coursera:
👉 http://coursera.org/learn/intro-generative-ai-course-snowflake/?utm_medium=institutions&utm_source=snowflake&utm_campaign=yt-promo

❄Join our YouTube community❄ https://bit.ly/3lzfeeB

Learn more about Snowflake:
➡️ Website: https://www.snowflake.com
➡️ Careers: http://careers.snowflake.com
➡️ Podcast page: https://www.snowflake.com/thedatacloudpodcast/
➡️ Twitter: https://twitter.com/SnowflakeDB
➡️ Instagram: https://www.instagram.com/_snowflake_inc
➡️ Facebook: https://www.facebook.com/snowflakedb
➡️ LinkedIn: https://bit.ly/2QUexl4
➡️ Sign up for our weekly live demo program and have your questions answered by a Snowflake expert at https://bit.ly/2TdVCmJ

Listen on:
🔈 Apple Podcasts: https://apple.co/3cCdrCU
🔈 Spotify: https://spoti.fi/39vCNjH
🔈 Simplecast: https://bit.ly/3rFCrgA

#Snowflake #DataCloud

Building a research multi agent system → https://goo.gle/41TYswp
Agent starter pack → https://goo.gle/4iZiz35
Human-in-the-Loop LangGraph app → https://goo.gle/4iyii7h

What is agentic AI and how can developers apply agentic AI in their applications? Welcome back to season 2 of Real Terms for AI with Googlers Aja Hammerly and Jason Davenport. In this video, Aja and Jason discuss agentic workflows, how agents are different from workflows, and when to use an agentic workflow. Follow along with code snippets in the Github link and help implement these concepts in many use cases.

Chapters:
0:00 - Intro
0:43 - What does agentic mean?
2:08 - Agentic workflow examples
3:28 - When to use agentic workflow or AI agent
4:33 - Wrap up

Watch more Real Terms for AI → https://goo.gle/AIwordsExplained
Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech

#GoogleCloud #GenerativeAI

Speakers: Aja Hammerly, Jason Davenport
Products Mentioned: Gemini, Gemma

Learn more: https://bit.ly/4mVUPyF

Building effective Agentic AI systems is one of the most valuable skills in AI today.

Introducing Agentic AI, a new course from Andrew Ng, now available on DeepLearning.AI.

While most developers build AI that just responds to prompts, the most productive teams are building AI that executes multi-step workflows autonomously. 

In this course, you'll learn how to build 4 key agentic workflows using raw Python so that you'll see how each step actually works.

Skills you’ll gain: 

- Build agentic design patterns: reflection, tool use, planning, and multi-agent workflows
- Integrate AI with external tools: databases, APIs, web search, and code execution
- Evaluate and optimize AI systems: performance metrics, error analysis, and production deployment

Build everything from scratch in Python—no frameworks, no black boxes.

Agentic AI is available exclusively on DeepLearning.AI. With a Pro membership you get access to quizzes, code labs, and Professional Certifications along with early access to our available catalog of advanced AI courses.

Enroll in Agentic AI on DeepLearning.AI: https://bit.ly/4mVUPyF

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

One-shot learning! In this last weekly video of the course, i'll explain how memory augmented neural networks can help achieve one-shot classification for a small labeled image dataset. We'll also go over the architecture of it's inspiration (the neural turing machine).

Code for this video (with challenge):
https://github.com/llSourcell/....How-to-Learn-from-Li

Please subscribe! And like. And comment. That's what keeps me going.

More learning resources:
https://www.youtube.com/watch?v=CzQSQ_0Z-QU
https://arxiv.org/abs/1605.06065
https://futuristech.info/posts..../differential-neural
https://thenewstack.io/googles....-deepmind-ai-now-cap

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

And please support me on Patreon:
https://www.patreon.com/user?u=3191693
Follow me:
Twitter: https://twitter.com/sirajraval
Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/
Signup for my newsletter for exciting updates in the field of AI:
https://goo.gl/FZzJ5w
Hit the Join button above to sign up to become a member of my channel for access to exclusive content! Join my AI community: http://chatgptschool.io/ Sign up for my AI Sports betting Bot, WagerGPT! (500 spots available): https://www.wagergpt.xyz

What makes a system-support machine learning model development? Find out how to transit yourself into the machine learning engineering domain, with Chi Wang, the co-author of the book 📖 Engineering Deep Learning Systems 📖

This video is an excerpt from "What Developers Need to Know to Design Machine Learning Systems" - a live-streaming session by Chi Wang. To watch the full video, visit http://mng.bz/BZr8.

📚📚📚
Engineering Deep Learning Systems | http://mng.bz/lR58
To save 40% off this book use discount code: watchchiwang40
📚📚📚

About the book:
"Engineering Deep Learning Systems" teaches you to design and implement an automated platform to support creating, training, and maintaining deep learning models. In it, you’ll learn just enough about deep learning to understand the needs of the data scientists who will be using your system. You’ll learn to gather requirements, translate them into system component design choices, and integrate those components into a cohesive whole. A complete example system and insightful exercises help you build an intuitive understanding of DL system design.

🔵 Intellipaat Data Engineering course: https://intellipaat.com/pgp-da....ta-engineering-mit-j
In this Data Engineering Course, you will learn what is Data Engineering, How to Become a Data Engineer, Why Data Engineering is important, What is Big Data Engineering, the Importance of Big Data, the Difference between Data Engineer and Data Scientist, Big Data Engineering, What is Hadoop, Apache Spark Tutorial, AWS Elastic Map Reduce Tutorial, Azure Data Factory Tutorial, Data Engineering Career Roadmap and lot more. This Data Engineer Full Course will help you to understand Data Engineering from scratch.

#DataEngineeringCourse #DataEngineer #DataEngineeringTraining #DataEngineeringFullCourse #BestDataEngineeringCourse #DataEngineerCourse #FreeDataEngineerCourse #Intellipaat

🔵 Following topics are covered in this session:
00:00 - Introduction to Data Engineer
1:50:08 - What is Spark?
2:18:02 - Spark's Mllib
3:19:45 - Spark-Hive Integration
3:37:57 - Configuration Options
3:49:35 - What is AWS?
4:46:57 - Azure Data Factory
5:01:30 - Integration Runtime in Azure Data Factory
7:09:55 - Data Engineer Career Path
7:19:22 - Top 50 Data Engineer Interview Questions


🔵 Why Data Engineering is important?
Data engineering helps make data more useful and accessible for consumers of data. To do so, Data engineering must source, transform and analyze data from each system. For example, data stored in a relational database is managed as tables, like a Microsoft Excel spreadsheet. Each table contains many rows, and all rows have the same columns. A given piece of information, such as a customer order, may be stored across dozens of tables.

🔵 Why should you opt for a Data Engineering career?
Data engineers must have specialized skills in creating software solutions around data. At the same time, it’s perhaps unrealistically expected that Data Engineers will be familiar with a breadth of tools and technologies – anywhere from 10 to 30 of them. And these tools are constantly changing.

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

🔵 For more information: Call Our Course Advisors IND: +91-7022374614 US: 1-800-216-8930 (Toll-Free)

Website: https://intellipaat.com/pgp-da....ta-engineering-mit-j

🔥Data Analyst Masters Program (Discount Code - YTBE15) - https://www.simplilearn.com/data-analyst-masters-certification-training-course?utm_campaign=z-9PSZYHaZI&utm_medium=Lives&utm_source=Youtube
🔥IITK - Professional Certificate Course in Data Analytics and Generative AI (India Only) - https://www.simplilearn.com/iitk-professional-certificate-course-data-analytics?utm_campaign=z-9PSZYHaZI&utm_medium=Lives&utm_source=Youtube
🔥Purdue - Post Graduate Program in Data Analytics - https://www.simplilearn.com/pgp-data-analytics-certification-training-course?utm_campaign=z-9PSZYHaZI&utm_medium=Lives&utm_source=Youtube
🔥Caltech - Data Analytics Bootcamp (US Only) - https://www.simplilearn.com/data-analytics-bootcamp?utm_campaign=z-9PSZYHaZI&utm_medium=Lives&utm_source=Youtube
🔥IITG - Professional Certificate Program in Data Analytics and Generative AI (India Only) - https://www.simplilearn.com/iitg-generative-ai-data-analytics-program?utm_campaign=z-9PSZYHaZI&utm_medium=Lives&utm_source=Youtube

This video on Advanced Excel Full Course by Simplilearn is a complete guide to mastering Excel for data analysis and advanced functionality. It begins with what Microsoft Excel is and covers the basics of Excel, progressing into advanced topics like how to use Microsoft Power Query for data transformation and descriptive statistics using Excel for analytical insights. You’ll learn how to use Copilot in Excel for automation and explore 10 important Excel formulas every professional should know. The course also covers DBMS concepts and highlights how data analytics using AI can enhance efficiency. Practical sessions include creating Excel dashboards for beginners, advanced techniques like ANOVA in Excel, and building dashboards using ChatGPT. Additional resources include insights on top 10 data analyst projects for 2025 and a guide to the top 10 data analyst certifications, ensuring you are prepared for a data-driven career.

The Full course will cover the following topics

00:00:00 Introduction to Advanced Excel Full Course
00:03:55 What is Microsoft Excel
05:42:00 Excel Basics
06:03:24 How to use microsoft power query
06:11:52 Descriptive statistics using excel
06:21:13 How To Use Copilot In EXCEL
06:44:59 10 important excel formulaes
06:46:07 What is DBMS
06:57:00 Data Analytics using AI
07:35:00 Chatgpt and Excel with Data Analytics
07:53:20 Excel Dashboard Tutorial For Beginners
07:53:20 Annova in excel
08:24:19 ChatGPT Made This Excel Dashboard
08:36:54 Top 10 Data Analyst Projects in 2025
08:48:52 top 10 Data Analyst certifications

⏩ Check out the Excel tutorial videos: https://www.youtube.com/watch?v=nPkmWE4JCfE&list=PLEiEAq2VkUUKf8aLrspLg3zuyJ5S-5K5S

#exceldataanalytics #exceltraining #excelformulasandfunctions #exceldatavisualization #excelcourse #simplilearn #simplilearn #advancedexcel #advancedexceltraining #advancedexceltricks #2025 #simplilearn

➡️ About Post Graduate Program In Data Analytics
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.

Key Features
✅ Post Graduate Program certificate and Alumni Association membership
✅ Exclusive hackathons and Ask me Anything sessions by IBM
✅ 8X higher live interaction in live online classes by industry experts
✅ Capstone from 3 domains and 14+ Data Analytics Projects with Industry datasets from Google PlayStore, Lyft, World Bank etc.
✅ Master Classes delivered by Purdue faculty and IBM experts
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies
✅ Resume preparation and LinkedIn profile building
✅ 1:1 mock interview
✅ Career accelerator webinars

Skills Covered
✅ Data Analytics
✅ Statistical Analysis using Excel
✅ Data Analysis Python and R
✅ Data Visualization Tableau and Power BI
✅ Linear and logistic regression modules
✅ Clustering using kmeans
✅ Supervised Learning

👉 Learn More at: https://www.simplilearn.com/pgp-data-analytics-certification-training-course?utm_campaign=z-9PSZYHaZI&utm_medium=Lives&utm_source=youtube