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

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

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

👉 Check out PyCharm, the IDE built for data science and AI/ML professionals: https://jb.gg/try-pycharm-now
👉 Free 3-Month PyCharm Pro subscription with coupon code “PyCharm2codebasics”: https://jb.gg/pc_codebasics
Redeem on new purchases before Feb 01, 2026

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

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

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

#️⃣ Social Media #️⃣

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For more information about Stanford's Artificial Intelligence programs visit: https://stanford.io/ai

In this webinar, you will gain an introduction to the concept of agentic language models (LMs) and their usage. You will learn about common limitations of LMs and agentic LM usage patterns, such as reflection, planning, tool usage, and iterative LM usage.

This online session will cover:
Overview of LMs
LM Usage and limitations
Retrieval Augmented Generation (RAG)
Tool usage
Agentic LMs
Agentic design patterns

About the speaker: Insop Song

Insop is a Principal Machine Learning Researcher at GitHub Next. Previously he worked at Microsoft, where he focused on leveraging machine learning and large language models to boost engineering productivity. His projects included fine-tuning open-source large language models with internal code and text, developing document assistance tools, and applying AI to various engineering tasks. He is currently a course developer as well as a course facilitator for Stanford Online’s professional AI program.


Chapters:
00:00 - Introduction
00:10 - Overview of the Talk
01:50 - Training Language Models
02:30 - Modeling Objectives
04:00 - Examples of Training Data Formatting
05:40 - Applications of Language Models
06:50 - Using API for Language Models
09:00 - Best Practices for Prompt Preparation
11:10 - Importance of Clear Instructions
13:40 - Reflection and Improvement Techniques
16:30 - Tool Usage and Function Calling
20:30 - Definition of Agentic Language Models
21:50 - Reasoning and Action in Agentic Models
24:00 - Example of a Customer Support AI Agent
29:20 - Summary of Applications
36:00 - Key Design Patterns in Agentic Models
44:00 - Summary of Agentic Language Model Usage
47:40 - Audience Q&A
50:00 - Addressing Ethical Considerations
54:50 - Getting Started with Language Models
57:00 - Resources for Staying Updated
58:20 - Closing Remarks

What is the difference between generative ai and ai agents and agentic AI system? Let's understand it in a very simple, intuitive language.

Langgraph tutorial: https://youtu.be/CnXdddeZ4tQ?si=rkrOziDj4y_dQo4-
AI bootcamp with HR assistant agentic system: https://codebasics.io/bootcamp....s/ai-data-science-bo

👉 Check out PyCharm, the IDE built for data science and AI/ML professionals: https://jb.gg/try-pycharm-now
👉 Free 3-Month PyCharm Pro subscription with coupon code “PyCharm2codebasics”: https://jb.gg/pc_codebasics
Redeem on new purchases before Feb 01, 2026

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

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

🎥 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/

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📝 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

We're launching Claude Code, our agentic coding tool, in a limited research preview. Claude Code lets developers delegate substantial engineering tasks to Claude directly from their terminal.

Claude Code has already become indispensable for our team. In early testing, Claude completed tasks in one pass that would normally take 45+ minutes of manual work.

With Claude Code, our goal is to better understand how developers use Claude to help improve our models for all.

In this demo, Claude Code completes complex coding tasks that would ordinarily take a significant amount of manual work. It explains an unfamiliar Next.js project, adds new functionality, creates tests, fixes build errors, and explains its changes.

Read more and join the preview: http://www.anthropic.com/news/claude-3-7-sonnet

MIT 6.7960 Deep Learning, Fall 2024
Instructor: Sara Beery
View the complete course: https://ocw.mit.edu/courses/6-....7960-deep-learning-f
YouTube Playlist: https://www.youtube.com/playli....st?list=PLUl4u3cNGP6

This video provides a course overview and introduces deep neural networks, covering their fundamental concepts and basic building blocks. It sets the stage for understanding how these models work and what components they are built from.

License: Creative Commons BY-NC-SA
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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.

MIT How to Speak, IAP 2018
Instructor: Patrick Winston
View the complete course: https://ocw.mit.edu/how_to_speak

Patrick Winston's How to Speak talk has been an MIT tradition for over 40 years. Offered every January, the talk is intended to improve your public speaking ability in critical situations by teaching you a few heuristic rules.

0:16 Introduction
3:11 Rules of Engagement
4:15 How to Start
5:38 Four Sample Heuristics
10:17 The Tools: Time and Place
13:24 The Tools: Boards, Props, and Slides
36:30 Informing: Promise, Inspiration, How To Think
41:30 Persuading: Oral Exams, Job Talks, Getting Famous
53:06 How to Stop: Final Slide, Final Words
56:35 Final Words: Joke, Thank You, Examples

This video has been dubbed using an artificial voice via https://aloud.area120.google.com to increase accessibility.

The traditional Chinese captions courtesy of 高嘉宏. Used with permission. The captions are reviewed and edited by MIT OpenCourseWare. The simplified Chinese captions are by MIT OpenCourseWare.

License: Creative Commons BY-NC-SA
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MIT 14.41, Public Finance and Public Policy, Fall 2024
Instructor: Prof. Jonathan Gruber
View the complete course: https://ocw.mit.edu/courses/14....-41-public-finance-a
YouTube Playlist: https://www.youtube.com/playli....st?list=PLUl4u3cNGP6

In this lecture Prof. Gruber discusses the importance of studying public finance, which is the role of the government in the economy. When should the government intervene? How should the government intervene? What is the effect of those interventions?


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MIT 18.642 Topics in Mathematics with Applications in Finance, Fall 2024
Instructors: Vasily Strela, Jake Xia, and Peter Kempthorne
View the complete course: https://ocw.mit.edu/courses/18....-642-topics-in-mathe
YouTube Playlist: https://www.youtube.com/playli....st?list=PLUl4u3cNGP6

This video provides an introductory overview of a course combining mathematical theory and real-world financial applications, featuring lectures by academics and industry experts. The instructors emphasize the practical use of mathematics in finance, covering topics like bond math, portfolio optimization, and machine learning, while utilizing tools such as RStudio Cloud for data analysis. Additionally, the course includes guest speakers from prominent financial institutions, offering students exposure to cutting-edge quantitative finance concepts and industry practices.

License: Creative Commons BY-NC-SA
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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.

MIT 15.401 Finance Theory I, Fall 2008
View the complete course: http://ocw.mit.edu/15-401F08
Instructor: Andrew Lo

License: Creative Commons BY-NC-SA
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MIT 6.006 Introduction to Algorithms, Spring 2020
Instructor: Jason Ku
View the complete course: https://ocw.mit.edu/6-006S20
YouTube Playlist: https://www.youtube.com/playli....st?list=PLUl4u3cNGP6

The goal of this introductions to algorithms class is to teach you to solve computation problems and communication that your solutions are correct and efficient. Models of computation, data structures, and algorithms are introduced.

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MIT 22.01 Introduction to Nuclear Engineering and Ionizing Radiation, Fall 2016
Instructor: Michael Short
View the complete course: https://ocw.mit.edu/22-01F16
YouTube Playlist: https://www.youtube.com/playli....st?list=PLUl4u3cNGP6

Prof. Short uses all the concepts introduced thus far to introduce the study of nuclear materials and radiation damage - his field of study. The concept of ionizing radiation creating nuclear displacements, not just electron ionization, is introduced as the first event in radiation damage. The structural defects produced from these displacements are shown to cluster, move, and evolve, resulting in drastic changes to material properties. Key structural material properties and their formal definitions are introduced and demystified by watching a pair of Finnish scientists smash various items with a 50 ton hydraulic press.

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MIT 18.200 Principles of Discrete Applied Mathematics, Spring 2024
Instructor: Ankur Moitra
View the complete course: https://ocw.mit.edu/courses/18....-200-principles-of-d
YouTube Playlist: https://www.youtube.com/playli....st?list=PLUl4u3cNGP6

We first describe the mechanics of the course. We then discuss the pigeonhole principle, explaining what it is and giving several surprising applications of it. The we briefly discuss foundations of probability and sample spaces.

License: Creative Commons BY-NC-SA
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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.

MIT 18.642 Topics in Mathematics with Applications in Finance, Fall 2024
Instructor: Peter Kempthorne
View the complete course: https://ocw.mit.edu/courses/18....-642-topics-in-mathe
YouTube Playlist: https://www.youtube.com/playli....st?list=PLUl4u3cNGP6

The lecture introduces linear algebra with a focus on its applications in quantitative finance, covering vector and matrix fundamentals, portfolio valuation, and concepts like short selling, arbitrage, and contingent claims. It further explores stochastic matrices and Markov chains, eigenvalues and eigenvectors, and their roles in modeling financial markets, culminating in discussions on no-arbitrage conditions, market completeness, and pricing measures essential for option pricing theory.

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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.

MIT 15.401 Finance Theory I, Fall 2008
View the complete course: http://ocw.mit.edu/15-401F08
Instructor: Andrew Lo

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More courses at http://ocw.mit.edu

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

October 14, 2025
This lecture covers adversarial robustness and generative models.

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

To follow along with the course schedule and syllabus, visit: https://cs230.stanford.edu/syllabus/

More lectures will be published regularly.
View the playlist: https://www.youtube.com/playli....st?list=PLoROMvodv4r

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

Learn about Stanford's online artificial intelligence professional and graduate programs:
https://stanford.io/3CDAIOV

Stanford Online Graduate and Professional AI programs provide the foundational and advanced skills you need to accelerate your career in AI, including machine learning, reinforcement learning, neural networks, and natural language processing and understanding. Learn about the differences between the programs in this video.

#artificialintelligence #machinelearning #deeplearning #reinforcementlearning #neuralnetworks #naturallanguageprocessing