Is it ever too late to expand your knowledge of computer science and AI? Mehran Sahami, Professor and Chair of the Computer Science Department at Stanford University, addresses this and other questions as he shares his expertise.

Learn about Code in Place:
https://codeinplace.stanford.edu/

Learn about our Artificial Intelligence Courses and Programs:
https://online.stanford.edu/ar....tificial-intelligenc

Learn about our Computer Science & Security Programs:
https://online.stanford.edu/co....mputer-science-secur

View course details: https://online.stanford.edu/co....urses/xcs224r-deep-r

April 2, 2025
This lecture covers:
• Class introduction
• Markov Decisions Processes
• Why study deep reinforcement learning?
• Intro to modeling behavior and reinforcement learning

To learn more about enrolling in the graduate course, visit: https://online.stanford.edu/co....urses/cs224r-deep-re

To follow along with the course schedule and syllabus, visit:
https://cs224r.stanford.edu/

Chelsea Finn
Assistant Professor in Computer Science and Electrical Engineering at Stanford University and co-founder of Pi.

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:
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Prepare for the course

Intro to Deep Learning - Part 1

In this video, I introduce the fundamentals of deep learning with a real-world scenario:
📌 Predicting how much it will rain tomorrow (precipitation).

Suitable for beginner to intermediate practitioners in machine learning and AI.

🔍 Topics Covered in Part 1:
1. Scenario: How can we predict precipitation?
2. Data-Driven Approach:
- Adding more variables (features)
- Nearest neighbor
- Mapping vectors to real numbers
3. Machine Learning:
- Random search

💡 Coming in Part 2:
3. Machine Learning:
- Derivative
- Gradient Descent
4. Conclusion and Summary

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This video on Search Engine Marketing Full Course 2026 by Simplilearn, explains how paid advertising works on search engines like Google. You’ll learn Google Ads basics, keyword targeting, ad creation, bidding strategies, and campaign optimization. The course also covers conversion tracking, performance analysis, and ROI-focused marketing. With real-world examples, you’ll understand how businesses drive traffic and sales using paid search. Perfect for beginners, marketers, and professionals looking to master performance marketing.

Related Videos:
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✅ 5. Top 6 Digital Marketing Trends in 2026 - https://youtu.be/-OHLJ0bSdjg

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➡️ About Digital Marketing Specialist

Experience live and interactive learning with this comprehensive digital marketing masters program. Learn to leverage ChatGPT and other generative AI tools for digital marketing. Additionally, you will receive a Meta Certified Digital Marketing Associate exam in the program.

Key Features:
✅ Key Features
✅ Industry recognised Digital Marketing Specialist certificate from Simplilearn
✅ Live classes delivered by digital marketing industry experts
✅ Learn to Leverage ChatGPT and the latest generative AI tools for digital marketing
✅ Free Meta Certified Digital Marketing Associate exam voucher worth $99
✅ Learn 35+ digital marketing tools
✅ 5 Capstone problem statements and 15+ course-end projects
✅ 10+ case studies from brands like Adidas, KFC, Nike, Intel, etc.

Skills Covered:
✅ Website Creation
✅ Behavioral Marketing
✅ Keyword Research
✅ Search Engine Optimization
✅ Search Engine Marketing
✅ Campaign Management
✅ Social Media Marketing
✅ Mobile Marketing
✅ Content Marketing
✅ Content Strategy
✅ Strategies for Paid Campaigns
✅ Analytics ROI amp Evaluation
✅ AI Automation amp Emerging Technology
✅ Gen Artificial Intelligence AI Tools

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

AI can feel overwhelming, but this hands-on course makes it practical, approachable, and fun. You will start with AI fundamentals and model mechanics like transformers and tokens, before moving into the architecture of tools, workflows, and true agents. You will build and experiment with four distinct agents, seeing firsthand how single agents evolve into a multi-agent system. Finally, you will learn how OpenClaw woks to gain the confidence needed to design, build, test, and deploy real-world AI agents.

Course resources: https://kode.wiki/3SrN8GO

Course created by @KodeKloud

❤️ Support for this channel comes from our friends at Scrimba – the coding platform that's reinvented interactive learning: https://scrimba.com/freecodecamp

Chapters
Section 1 & 2: LLM & Core Concepts
- 00:00:00 Course Welcome & Architecture Fundamentals
- 00:07:54 Hallucinations, Model Evolution, & Competitors
- 00:15:23 Developer Fundamentals & Working with APIs
- 00:17:54 Token Economics & Managing Context Windows
- 00:31:13 API Message Roles & Prompt Engineering Nuances

Section 3 & 4: Code Setup & Tool Architecture
- 00:38:29 Hands-On Lab: Practice Labs & First API Call
- 00:45:01 Multi-Turn History, API Costs, & Trade-offs
- 00:51:08 Architecture Overview: Tool Schemas & Execution Loops
- 00:58:20 Predefined AI Workflows vs. Autonomous Agents

Section 5: Building Agents from Scratch
- 01:08:16 The Core Loop: Perceive, Reason, Act
- 01:13:15 Hands-On Lab: Engineering the Standard `While` Loop
- 01:21:13 Planning Limits, Brittle Logic, & Mitigation Guardrails
- 01:26:19 Memory Managers: Sliding Windows & Vector DBs
- 01:33:56 Multi-Agent Frameworks & Inter-Agent Communication
- 01:43:08 Deconstructing Production Failures & Error Handling
- 01:52:20 Grounding Data & Prepackaged Frameworks (LangChain, Mastra)
- 02:00:25 Hands-On Lab: Building a Production Personal Assistant

Section 6: Deep Case Study (OpenClaw)
- 02:09:25 OpenClaw Codebase Tour & File Architecture
- 02:14:39 Custom Layouts, Terminal Interfaces, & Concurrency Locks
- 02:30:44 Testing Non-Deterministic Agents & LLM-as-a-Judge Evals
- 02:39:30 Observability, Tracking Performance Metrics, & Optimization Levers
- 02:51:55 Agent Security, Advanced Prompt Assemblies, & Wrap-up

🎉 Thanks to our Champion and Sponsor supporters:
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--

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

If you want to master AI agents in 2026 and actually build systems that can reason, plan, and take action on their own- this video is your complete roadmap.

I walk you through exactly what you need to learn, in what order, and which free resources will actually get you there- without wasting months chasing hype.

The space feels overwhelming right now. Everyone's throwing around words like agents, autonomy, multi-agent systems, tool use, planning, memory- and it all sounds exciting, but also kind of chaotic.
You're not too late. But you do need a plan. That's exactly what this video gives you.

Chapters:
00:00 – Why You Need a Roadmap for AI Agents
01:08 – Prerequisites: Python, APIs, ML Fundamentals
03:25 – Month 1: Foundations & Architecture
05:17 – Month 2: Agent Frameworks & Memory
06:55 – Month 3: Tools, APIs & Multi-Agent Systems
08:06 – Month 4: Evaluation, Safety & Deployment
08:55 – Month 5-6: Specialization, Advanced Topics & Capstone
10:12 – Final Advice & Resources

Free Resources Mentioned:

Prerequisites-
Google's Python Class: https://developers.google.com/edu/python
Python for Everybody (Charles Severance): https://www.py4e.com/

Month 1: Foundations

Hugging Face Agents Course: https://huggingface.co/learn/agents-course

Month 2: Frameworks & Memory

LangGraph Documentation: https://www.langchain.com/langgraph
CrewAI Documentation: https://docs.crewai.com/

Month 3-4: Tools, Multi-Agent & Production

OpenAI Function Calling Guide: https://platform.openai.com/do....cs/guides/function-c
LangSmith (Evaluation): https://www.langchain.com/langsmith

Month 5-6: Advanced & Capstone

Berkeley LLM Agents Course: https://llmagents-learning.org/f24

Drop a comment: Where are you in your AI agents journey? Just starting, already building, or stuck somewhere in the middle?

https://www.hostinger.com/makefirstmillion10
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🔗 Enroll in the AI Institute (Aaghaz):
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Timestamps:

00:00 Intro
00:03:21 Basics of AI Agents & Automations
00:08:24 Auto Email Reply System
00:40:32 Inventory Management System
01:25:20 Jarvis System-Voice Command
02:25:54 Website Downgrade or Upgrade Management
02:33:36 AI Voice Calling Agent
03:56:39 Selling Psychology
04:23:32 Outro


In this video, Badar Munir founder of Make First Million and creator of Aaghaz – Asia’s First AI Startup & AI Master Institute, shares how smart people are preparing for the AI era — and why mastering AI Agent is becoming essential for every professional.

This is not theory — you will learn the real AI-first mindset, how to create custom GPT assistants, and how students, freelancers, founders, and professionals are using AI as a growth weapon, not just a tool.

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Music used in this video:

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Artist: Alex-Productions (Aylex)
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License: Creative Commons Attribution 3.0 (CC BY 3.0)

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In this video we will discuss about the differences between generative ai vs agentic ai vs AI agents.
Agentic AI is an AI system that acts autonomously, adapts in real time, and solves multi-step problems based on context and objectives.
-----------------------------------------------------------------------------------------------------
Join our 2.0 Live Agentic AI With MCP Batch starting from May 10th 2025
Course Enrollment Link: https://www.krishnaik.in/livec....lass/2.0%20Live%20Ag
Reach out to Krish Naik's counselling team on 📞 +919111533440 or +91 87885 03778 in case of any queries we are there to help you out.

HỒ CÁ PHONG CÁCH ĐƠN GIẢN, THANH BÌNH #thuysinh #aquariums

THỦY SINH NHA TRANG - THUỶ SINH MANG TÀI LỘC ĐẾN NHÀ BẠN

Thủy Sinh Nha Trang cung cấp sỉ lẻ các loại sản phẩm thủy sinh như cây thủy sinh, hồ thủy sinh, tôm cảnh, cá cảnh, tép cảnh, ốc cảnh, hồ cá thủy sinh, bể cá, phụ kiện thủy sinh, đèn thủy sinh và các thiết bị khác với giá hấp dẫn tại khu vực miền Trung. Chúng tôi chuyên về Thiết kế cảnh quan, Trang trí nội thất, Tiểu cảnh.

Phone: (+84) 0777-525-328
Facebook: https://facebook.com/thuysinhnhatrang
Website: https://thuysinhnhatrang.com
YouTube: youtube.com/@ThuySinhNhaTrang
Address: 566/23 đường 2 Tháng 4, Vĩnh Phước, Nha Trang, Khánh Hòa, Việt Nam (hẻm đối diện Đặng Tất)

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THỦY SINH NHA TRANG - THUỶ SINH MANG TÀI LỘC ĐẾN NHÀ BẠN

Thủy Sinh Nha Trang cung cấp sỉ lẻ các loại sản phẩm thủy sinh như cây thủy sinh, hồ thủy sinh, tôm cảnh, cá cảnh, tép cảnh, ốc cảnh, hồ cá thủy sinh, bể cá, phụ kiện thủy sinh, đèn thủy sinh và các thiết bị khác với giá hấp dẫn tại khu vực miền Trung. Chúng tôi chuyên về Thiết kế cảnh quan, Trang trí nội thất, Tiểu cảnh.

Phone: (+84) 0777-525-328
Facebook: https://facebook.com/thuysinhnhatrang
Website: https://thuysinhnhatrang.com
YouTube: www.youtube.com/@ThuySinhNhaTrang
Address: 566/23 đường 2 Tháng 4, Vĩnh Phước, Nha Trang, Khánh Hòa, Việt Nam (hẻm đối diện Đặng Tất)

#bethuysinhdep, #thuysinh, #howtobuildaquarium, #hothuysinh , #studymusic, #relaxmusic, #calmingmusic , #bethuysinhmini

"🔥Microsoft Applied Agentic AI: Systems Design & Impact - https://www.simplilearn.com/agentic-ai-course-training?utm_campaign=l_Zg237msTg&utm_medium=DescriptionFF&utm_source=Youtube
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In this video on "What is Agentic AI", we explain the meaning of Agentic AI through the simple story of Emma, a small online business owner. You will see how traditional AI can provide useful ideas and answers, while Agentic AI can understand a goal, create a plan, use tools, take actions, and improve results step by step.

Emma initially uses a normal AI chatbot to get ideas for increasing her weekend sales. Although the AI suggests discounts, social media promotions, and email campaigns, Emma still has to complete every task herself. With Agentic AI, the experience changes. The AI reviews sales information, studies customer queries, identifies popular products, creates campaign plans, writes email drafts, prepares social media captions, recommends posting times, and tracks campaign performance. Simplilearn’s AI certification programs can help learners understand modern AI tools, prompt engineering, AI automation, and the safe use of AI systems in real-world situations.

Watch the complete video to understand how Agentic AI helps people move from ideas to action.

Topics covered:
1. What is Agentic AI?
2. What are AI agents
3. Traditional AI vs Agentic AI
6. AI guardrails
7. Business automation
8. Generative AI and the future of work.

Related Videos:
✅ 1. https://youtu.be/2MHjpOHQNNQ?si=a8lofxiO2g8ONByK
✅ 2. https://youtu.be/DfFoMhfYNLI?si=gxT5Dy5rUZ7OXh1l
✅ 3. https://youtu.be/ia7M-lJiTMY?si=fu8XSxaAjcLIgIaH
✅ 4. https://youtu.be/phkxmDo0TlQ?si=z900jRlscbwFu6iA
✅ 5. https://youtu.be/2R-niMsB0QY?si=UaM46S85L7vVmVoU

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

⏩ Check out More AI Videos By Simplilearn: https://youtube.com/playlist?l....ist=PLEiEAq2VkUULyr_

🔥Applied Generative AI Specialization - https://www.simplilearn.com/applied-ai-course?utm_campaign=l_Zg237msTg&utm_medium=Description&utm_source=Youtube
🔥Advanced Executive Program In Applied Generative AI - https://www.simplilearn.com/applied-generative-ai-course?utm_campaign=l_Zg237msTg&utm_medium=Description&utm_source=Youtube

➡️ About Applied Generative AI Specialization

The Applied Gen AI Course equips learners with the skills to build AI-driven solutions. Learn to design, train, and deploy models while addressing ethics, bias, and compliance. Gain industry-relevant experience through hands-on projects to drive innovation and stay competitive in an AI-powered world.

Key Features

✅ Get a program completion certificate from Michigan Engineering Professional Education
✅ Engage in 70+ hours of live online sessions led by industry experts
✅ Access a comprehensive curriculum covering Python, AI literacy, and GenAI principles (VAEs, GANs, and LLMs)
✅ Explore agentic frameworks and create adaptive AI agents using LangChain
✅ Implement advanced prompt engineering, RAG, and fine-tune models for domain-specific AI solutions
✅ Apply best practices for AI transparency, fairness, security, and regulatory compliance
✅ Work with 12+ modern AI tools, including OpenAI, Stable Diffusion, Microsoft Copilot, and Streamlit
✅ Earn a course completion certificate hosted on the Microsoft Learn portal for Microsoft courses
✅ Experience flexible learning with session recordings
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies
✅ Gain 24/7 access to Simplilearn’s Learning Management System (LMS)

Skills Covered
✅ Prompt Engineering
✅ Agentic Frameworks
✅ AI Agents
✅ LangChain for Workflow Design
✅ Retrieval Augmented Generation RAG
✅ LLM Fine Tuning
✅ Stable Diffusion
✅ Variational Autoencoders VAEs
✅ Generative Adversarial Networks GANs
✅ Attention Mechanisms
✅ Transformers
✅ GenAI Application Development
✅ LLM Benchmarking
✅ GenAI Governance
✅ AI Image Generation

👉 Enroll Now: https://www.simplilearn.com/applied-ai-course?utm_campaign=l_Zg237msTg&utm_medium=Description&utm_source=Youtube

Install Buzz: https://www.hostg.xyz/SHJtb
All systems: https://www.skool.com/claude
Free Community: https://www.skool.com/aianswers
Clickup: https://clickup.com/?utm_source=Samin
-----------------------------
✉️ For Business Inquiries: [email protected]

Hi 👋 I'm Samin. This channel is for you if you’re a business owner who wants to:
→ Build a complete client acquisition system
→ Scale your revenue while working less

You may be feeling stuck, trying to figure out how to attract consistent leads, increase your sales, and grow your business without burning out.

If that sounds like you I can help.

But why even listen to me?
I’ve have helped 200+ business use AI Automations generating and saving them millions (look at my case studies)
My company was featured in Bloomberg business week for innovative use of AI Agents.
I’m an Ex-Amazon software engineer with over 6 years of experience
I have a computer science degree from NYU

00:00 Meet My AI Team
00:27 The Big Setup Questions
01:10 Why Build an AI Team?
01:43 The Business Bottleneck
02:28 Small Team, Bigger Output
03:08 Match the Model to the Job
03:44 From Separate Bots to a Team
04:29 How Buzz Brings It Together
5:09 Full tour of Buzz
9:36 Models, harnesses & agents
12:39 Subscriptions vs pay-per-token
16:39 Mac mini vs VPS
21:27 Setting up Buzz from scratch
27:58 Building an AI project manager
31:45 Making your agents debate

( Microservices Architecture Training: https://www.edureka.co/microse....rvices-architecture- )
This Edureka's video will help you understand what are microservices and their practical implementation using Spring Boot. In this video, you will learn the following:

1. Monolithic Architecture
2. Challenges Of Monolithic Architecture
3. What are Microservices
4. Microservice Architecture Components
5. Hands-On Using Spring Boot

#Microservices #MicroserviceArchitectureTutorial #MicroservicesForBeginners #MicroservicesOnlineTraining #MicroservicesUsingSpringBoot

---------------------------------------------------------------------------------

About Microservices Architecture Training

Edureka’s Microservices Architecture training introduces you to the concept of Microservices that are small, lightweight, process-driven components. So, Microservices are the next important thing in designing scalable, easy-to-maintain applications. This not only makes application development easier but also offers great flexibility and lets you utilize various resources optimally. If you want to build an enterprise-ready implementation of the

Microservices architecture, then this course is the first step for you. In this Microservices Architecture training, we will start by giving you a deep understanding of the core Microservices concepts and principle with insight in how they have evolved. We will walk you through the complete life cycle - from design to development to testing; including cross-layer concepts such as how to secure Microservices.

------------------------------------------------------------------------

What are the Objectives of our Microservices Architecture Training?

After completing, Edureka's Microservice training, you will be able to:

1.Understand and differentiate between various Microservices Architectural styles
2.Apply Microservices Architecture principles
3.Know how to make the appropriate Microservice Architecture decision
4.Develop and test a Microservice
5.Know what technologies can be used to enable Microservices with an example

---------------------------------------------------------------

Why should you go for Microservices Architecture Training?

Microservices Architecture, or simply Microservices, is a unique method of developing software systems as a suite

of independently deployable, small, modular services in which each service runs a unique process and communicates

through a well-defined, lightweight mechanism to serve a business goal. Thanks to its scalability, this

architectural method is considered ideal when you have to enable support for a range of platforms and devices

spanning across the web, mobile, Internet of Things, and so on. Because of its flexibility, you can also use this

method when you’re not sure what kind of devices you’ll need to support in an increasingly Cloud-based future.

--------------------------------------------------------------------------------

What are the Pre-Requisites for Microservices Architecture Training ?

There are no prerequisites for attending this Microservice course. Understanding of programming languages such as

Java, basic understanding and familiarity with Spring Boot framework and building Java applications would be

useful to execute Case Study and Project.
----------------------------------------------------------------------------------------------------

Who should go for this Microservices Architecture Training?

1.Application Architects
2.Software Architects
3.Application Developers
4.Developer working on Web, Cloud, Mobile, and other social technologies

Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka

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