For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/ai

November 18, 2025
This lecture covers career advice and a guest speaker.

To learn more about enrolling in this course, visit: https://online.stanford.edu/co....urses/cs230-deep-lea

Please follow along with the course schedule and syllabus: https://cs230.stanford.edu/syllabus/

View the playlist: https://www.youtube.com/playli....st?list=PLoROMvodv4r

Guest Speaker
Laurence Moroney
Best-selling AI author and award-winning researcher

Andrew Ng
Founder of DeepLearning.AI
Adjunct Professor, Stanford University’s Computer Science Department

Kian Katanforoosh
CEO and Founder of Workera
Adjunct Lecturer, Stanford University’s Computer Science Department

A lot of people think an AI agent is just a large language model wrapped in a chat interface. But when you move from a local demo to a real application, that assumption breaks down completely. A true agent is a production software system that can reason over a goal, retrieve context, maintain state, and trigger real actions through APIs.

In this video, I break down Agent AI System Design from a builder's perspective. We cover the exact architecture required to make single and multi-agent systems reliable, cost-aware, and safe enough to connect to real external tools. You will learn how to properly route models to save costs, structure your tool contracts, separate workflow state from long-term memory, and implement critical approval gates. By the end, you will have a practical mental model for building production-grade systems that users can actually rely on.

👉 Mastering Agentic AI Certification
Our August cohort now has fewer than 10 seats remaining, and we are currently offering 15% off with the code FLASHSALE15.
Register here: https://maven.com/aishwarya-sr....inivasan/mastering-a

👉 AI for Forward-Deployed Engineers Workshop
Our workshop is filling up very quickly. We currently have a limited-time 50% discount, so if you have been wanting to understand one of the fastest-growing roles in AI and learn how to build customer-facing AI solutions, now is the best time to register.

Register here: https://maven.com/aishwarya-sr....inivasan/ai-for-forw

👉 You can also check out our one-hour-long FREE Agentic AI System Design masterclass: https://maven.com/p/4c948b/age....ntic-ai-system-desig

CHAPTERS
0:00 The Demo vs. Production Reality
1:49 What is an Agent AI System?
2:12 Single Agent vs. Multi-Agent Systems
3:57 Building Block 1: The Model Layer and Routing
5:39 Building Block 2: Tool Contracts and Boundaries
7:37 Building Block 3: Memory vs. Workflow State
9:57 Building Block 4: Orchestration and Control Flow
12:23 Building Block 5: Trace-Level Evaluations
15:16 Building Block 6: Approval Gates and Policy Controls
17:03 Production Principle 1: Reliability and Fallbacks
18:42 Production Principle 2: Cost and Latency
20:42 Production Principle 3: Context and Retrieval Design
22:20 Production Principle 4: Observability, Security, and Privacy
25:33 Go Deeper with Gen Academy

📚 Resources to Watch Next
* AI Agents Explained: https://youtu.be/TZMdEg1ZoIo?si=xolifmjybYclpNZ-
* Single Agent vs. Multi-Agent Systems: https://youtu.be/-zBbij9rrEI?si=n0B9kG0XH9U0CQeV
* Deep Dive on AI Evaluations: https://youtu.be/_Er8Hao_gmQ?si=KNKjGEJrS7dkU6RF

Subscribe for deep dives into production-grade AI engineering, architecture breakdowns, and practical career strategies. Drop your system design questions in the comments below. I read and answer as many as I can!

Next: Your first AI Employee: https://youtu.be/jYbzKYwdy24

In this video, I break down what Agentic AI really is, beyond the hype and buzzwords. While most people think of AI as just chatbots like ChatGPT, the next evolution - Agentic AI - is quietly transforming how we interact with technology.

I explain in simple terms how Agentic AI systems can actually take initiative, complete complex tasks autonomously, and solve problems without constant human guidance. You'll understand the key differences between reactive AI tools and truly agentic systems that can plan, adapt, and achieve goals.

Whether you're a developer, business leader, or just curious about AI's future, this concise explanation gives you the foundation to understand why Agentic AI represents such a significant leap forward in artificial intelligence.

#AgenticAI #ArtificialIntelligence #AIExplained #FutureOfAI #AgentBasedAI #AITechnology #TechTrends #MachineLearning #BusinessAI #AIAgents

In this video I show you how to calculate the mean and std across multiple channels of the data you're working with which you will normally then use for normalization to obtain a 0 mean and standard deviation (std) of 1.


People often ask what courses are great for getting into ML/DL and the two I started with is ML and DL specialization both by Andrew Ng. Below you'll find both affiliate and non-affiliate links if you want to check it out. The pricing for you is the same but a small commission goes back to the channel if you buy it through the affiliate link.
ML Course (affiliate): https://bit.ly/3qq20Sx
DL Specialization (affiliate): https://bit.ly/30npNrw
ML Course (no affiliate): https://bit.ly/3t8JqA9
DL Specialization (no affiliate): https://bit.ly/3t8JqA9

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PyTorch Playlist:
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Artificial neural networks provide us incredibly powerful tools in machine learning that are useful for a variety of tasks ranging from image classification to voice translation. So what is all the deep learning rage about? The media seems to be all over the newest neural network research of the DeepMind company that was recently acquired by Google. They used neural networks to create algorithms that are able to play Atari games, learn them like a human would, eventually achieving superhuman performance.

Deep learning means that we use artificial neural network with multiple layers, making it even more powerful for more difficult tasks. These machine learning techniques proved to be useful for many tasks beyond image recognition: they also excel at weather predictions, breast cancer cell mitosis detection, brain image segmentation and toxicity prediction among many others.

In this episode, an intuitive explanation is given to show the inner workings of deep learning algorithms.

________________________

Original blog post by Christopher Olah (source of many images):
http://colah.github.io/posts/2....014-03-NN-Manifolds-

You can train your own deep neural networks on Andrej Karpathy's website:
http://cs.stanford.edu/people/....karpathy/convnetjs/d

Images used in this video:
Bunny by Tomi Tapio K (CC BY 2.0) - https://flic.kr/p/8EbcEk
Train by B4bees (CC BY 2.0) - https://flic.kr/p/6RzHe4
Train with bunny by Alyssa L. Miller (CC BY 2.0) - https://flic.kr/p/5WPeRN
The knot theory blackboard image was created by Clayton Shonkwiler (CC BY 2.0) https://flic.kr/p/64FYv
The tangled knot image was created by Mikael Hvidtfeldt Christensen (CC BY 2.0) https://flic.kr/p/beYG9D

The thumbnail image is a work of Duncan Hull (CC BY 2.0) - https://flic.kr/p/98qtJB

Subscribe if you would like to see more of these! - http://www.youtube.com/subscri....ption_center?add_use

Splash screen/thumbnail design: Felícia Fehér - http://felicia.hu

Károly Zsolnai-Fehér's links:
Patreon → https://www.patreon.com/TwoMinutePapers
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¿Queres aprender a sobre machine learning y deep learning? en este video vamos a hablar de la inteligencia artificial, deep learning y machine learning, vas a aprender mucho.

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This Edureka DevOps Interview Questions and Answers video ( DevOps Interview Blog : https://www.edureka.co/blog/in....terview-questions/to ) will help you to prepare yourself for DevOps interviews by practicing the most frequently asked DevOps interview questions. In this. video, you will learn about the most important DevOps interview questions and answers and understand what will set you apart in the DevOps interview process. Below are the topics covered in this DevOps Interview Questions and Answers Tutorial:

00:00:00 Introduction
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00:00:46 DevOps Interview Questions - Basic
00:28:20 DevOps Interview Questions - Intermediate
01:29:55 DevOps Interview Questions - Advanced

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