Go from zero to a machine learning engineer in 12 months. This step-by-step roadmap covers the essential skills you must learn to become a machine learning engineer in 2024.

Download the FREE roadmap PDF here: https://mosh.link/machine-learning-roadmap

✋ Stay connected

- Complete courses: https://codewithmosh.com
- Twitter: https://twitter.com/moshhamedani
- Facebook: https://www.facebook.com/programmingwithmosh/
- Instagram: https://www.instagram.com/codewithmosh.official/
- LinkedIn: https://www.linkedin.com/school/codewithmosh/

🔗 Other roadmaps

https://youtu.be/Tef1e9FiSR0?si=QpVnZ_o9-DAXzT71
https://youtu.be/OeEHJgzqS1k?si=qd0ZIqAzUpZQn6BX

📚 Tutorials

https://youtu.be/_uQrJ0TkZlc?si=ZhlCrQs1SkaPNVa8
https://youtu.be/8JJ101D3knE?si=OGTuS35LQqSunuhh
https://youtu.be/BBpAmxU_NQo?si=dm-ZCPxVBYWS1Qhn
https://youtu.be/7S_tz1z_5bA?si=QL7s_M2Ao90RDwG8

📖 Chapters

00:00 - Introduction
00:20 - Programming Languages
00:42 - Version Control
01:03 - Data Structures & Algorithms
01:35 - SQL
01:55 - The Complete Roadmap PDF
02:19 - Mathematics & Statistics
02:40 - Data Handling
03:15 - Machine Learning Fundamentals
03:57 - Advanced Topics
04:28 - Model Deployment

#machinelearning #ai #datascience #coding #programming

Learn how to design with Claude Code from Anthropic in real product workflows with Figma MCP.

I cover what Claude Code is, how designers can use it, and how to turn it into a serious productivity multiplier for UX exploration, documentation, prototyping, and shipping faster.

If you’re a UI, UX, or Product Designer looking to build better products, work smarter with AI, and stay competitive in a rapidly changing industry, this guide is for you.

🔗 KEY LINKS
📣 JOIN THE COMMUNITY: https://uicollective.co/
❎ Follow me on X: https://x.com/KirkMDesign

Why Join UI Collective Academy? Get access to premium courses, premium downloads, and so much more on the way (I am largely building this solo...trying to make design education available for all, support goes a long way!)

↪️ Need a design system? (also included in the academy): https://collectivekit.co/

🔗 VIDEOS TO WATCH
Build a Design System: https://youtu.be/opTANvl9G1g
Complex Design System Setup: https://youtu.be/L-tpK7Eeuow
AI & Design Systems: https://youtu.be/XfezMs8B-O8

🔗 MORE LINKS
Let us build or fix your design system: https://designsystemlabs.co/
📣 Save 20% on the Annual Mobbin plan: http://mobbin.com/uicollective
[email protected]

VIDEO LINKS & MORE:
Installation: https://code.claude.com/docs/en/overview#terminal
For installation: /plugin install figma@claude-plugins-official
MCP documentation: https://code.claude.com/docs/en/mcp
https://www.pencil.dev/

0:00 An Introduction
0:53 Introduction to Claude Code
3:23 Claude Code & Opus 4.6
4:26 Setting Up Claude Code
6:07 Connecting Figma MCP
7:35 Building a Figma Design with Claude Code
11:59 Claude Code Desktop App
13:32 Pencil App Demo
14:31 Building a Design with Claude Code & Pencil

Помощь проекту: https://vertdider.tv/to-support-us/

При вращении чего-нибудь вокруг своей оси возникает так называемый момент силы (он же крутящий момент) перпендикулярный направлению вращения. Благодаря этому гироскопы сохраняют устойчивость, а вы не падаете с велика. В этом видео Дерек попробует объяснить, как работает этот феномен. А вы попробуйте понять.

Спасибо за поддержку на https://www.patreon.com/VertDider.
Озвучки Vert Dider выходят с вашей помощью:

Pavel Dunaev, Nick Denizhenko, Oleksii, Yegor Barakovskiy, mrwiseguy351, Ігор Дорохов, Mikhail Stolpovskiy, Aleksandr, Maxim Syunikov, Oleg Zingilevskiy, Serega Beltser, Rashid Nasibulin, opperatius, Dina Kruchina, Alena, Vitaliy Vachynyuk, Ника Калмыкова, Nadia Kilgishova, Роман Чурин, Aiorraro, Евгений Сельменев, Alex Afalex, Anton Kudashov, Sergii Cherepanov, Владимир Кашутин, Pavel Parpura, Anton Bolotov, Yevhen, Sergei W, Kosoy, Данил Рягузов, Михаил Панькин, Anton Makiievskyi, Максим 'Sheridan' Горлов, Katoto Chan, F23D24, Alexey, Марина Малинкина, Dmitry Khlan, Галина Баринова, Yaroslav Kyrylchuk, Познающий, Ирина Анатольевна Чулкова, kotov.pr, Pavel Golovin, Stanislav K, Edward Ben Rafael, Юрий Медведев, Анна Троссман, Serj Skidan, Andrei Chitaev, L Marchenko, Sultan Ishankulov, Dim iONkinberg, Mike Sviblov, Andrey Rusanov, Inna Klymenko, Dima Chumakov, Dmitriy Lashtaba, Olesya Bolobova, Ilya Alexeevsky, Alexander Balynskiy, Максим Иванов, Ольга Канкулова, Alexander, Viktor Lova, Maria Tronina, Alexander Gorodok, Ivan Iakimov, Alexander Zimin, Евгений Миф, Виталий Пастушенко, Serj Kravchuk, Claudia Barzaeva, Pandaben, Monza UA, Lirin Alex, Pavel D, Dan Sotnikov, Konstantin Pesyakov, Denis Titusov, Viktoria, Alexandr Globov, Oleg Streltsov, Olga Podolskaya, Alexey Kukushkin, Пугачёв Пётр, Olga Shistareva, Kamerton_440, Alex Katkov, Irina Shakhverdova, Vladimir Grachev, Dmitriy Omelyansky, Aleksey Sazonov, Vladimir Goshev, Vladyslav Sokolenko, Anton Novozhenin, Spartak Kagramanyan, Evgeny Vrublevsky, Ihar Marozau, Александр Фалалеев

Перевод: Алексей Лоскутов
Редактура: Алексей Малов
Научная редактура: Леонид Вокин
Озвучка: Дмитрий Чепусов
Монтаж звука: Андрей Фокин
Монтаж видео: Джон Исмаилов
Обложка: Андрей Гавриков

Сайт студии: http://vertdider.tv

Мы в социальных сетях:
— http://vk.com/studio_vd
— https://t.me/vertdider
— https://twitter.com/Vert_Dider
— http://coub.com/vertdider

Разрешение на публикацию: https://bit.ly/2SFhrHZ
© https://www.youtube.com/user/1veritasium
Источник: https://youtu.be/ty9QSiVC2g0

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:
👾 @omerhattapoglu1158
👾 @goddardtan
👾 @akihayashi6629
👾 @kikilogsin
👾 @anthonycampbell2148
👾 @tobymiller7790
👾 @rajibdassharma497
👾 @CloudVirtualizationEnthusiast
👾 @adilsoncarlosvianacarlos
👾 @martinmacchia1564
👾 @ulisesmoralez4160
👾 @_Oscar_
👾 @jedi-or-sith2728
👾 @justinhual1290

--

Learn to code for free and get a developer job: https://www.freecodecamp.org

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

#ai #technology #switchtransformer

Scale is the next frontier for AI. Google Brain uses sparsity and hard routing to massively increase a model's parameters, while keeping the FLOPs per forward pass constant. The Switch Transformer compares favorably to its dense counterparts in terms of speed and sample efficiency and breaks the next magic number: One Trillion Parameters.

OUTLINE:
0:00 - Intro & Overview
4:30 - Performance Gains from Scale
8:30 - Switch Transformer Architecture
17:00 - Model-, Data- and Expert-Parallelism
25:30 - Experimental Results
29:00 - Stabilizing Training
32:20 - Distillation into Dense Models
33:30 - Final Comments

Paper: https://arxiv.org/abs/2101.03961
Codebase T5: https://github.com/google-rese....arch/text-to-text-tr

Abstract:
In deep learning, models typically reuse the same parameters for all inputs. Mixture of Experts (MoE) defies this and instead selects different parameters for each incoming example. The result is a sparsely-activated model -- with outrageous numbers of parameters -- but a constant computational cost. However, despite several notable successes of MoE, widespread adoption has been hindered by complexity, communication costs and training instability -- we address these with the Switch Transformer. We simplify the MoE routing algorithm and design intuitive improved models with reduced communication and computational costs. Our proposed training techniques help wrangle the instabilities and we show large sparse models may be trained, for the first time, with lower precision (bfloat16) formats. We design models based off T5-Base and T5-Large to obtain up to 7x increases in pre-training speed with the same computational resources. These improvements extend into multilingual settings where we measure gains over the mT5-Base version across all 101 languages. Finally, we advance the current scale of language models by pre-training up to trillion parameter models on the "Colossal Clean Crawled Corpus" and achieve a 4x speedup over the T5-XXL model.

Authors: William Fedus, Barret Zoph, Noam Shazeer

Links:
TabNine Code Completion (Referral): http://bit.ly/tabnine-yannick
YouTube: https://www.youtube.com/c/yannickilcher
Twitter: https://twitter.com/ykilcher
Discord: https://discord.gg/4H8xxDF
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LinkedIn: https://www.linkedin.com/in/ya....nnic-kilcher-4885341
BiliBili: https://space.bilibili.com/1824646584

If you want to support me, the best thing to do is to share out the content :)

If you want to support me financially (completely optional and voluntary, but a lot of people have asked for this):
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⁣Fairytale Music | Relaxing music, Sleep music, Guitar music, Piano music #musicvideo

Welcome to our channel dedicated to providing its viewers with calming and relaxing music! In a world filled with stress and chaos, taking a moment to unwind and find peace is essential for both physical and mental well-being.

Here's what you can expect from our channel:A variety of soothing music. Our channel features an extensive collection of calming and relaxing music, including classical, ambient, and nature sounds.

🎶 We hope that our channel will become a go-to destination for anyone in need of a little peace and tranquility. So sit back, relax, and let the music take you away to a more peaceful place. Please LIKE & SUBSCRIBE to our channel and share with your friends and family. 🎶

We consider that as our achievement and really appreciate it. We'll create more videos like this for you to enjoy for free. Thank you so much for your support. 💖

YouTube: https://youtube.com/@athena-music
Website: https://athenagarden.org

#relaxingmusic #sleepmusic #meditationmusic #musicvideo #yogamusic #studymusic #athenamusic #athenameditation #video #music

MIT 14.01 Principles of Microeconomics, Fall 2023
Instructor: Prof. Jonathan Gruber
View the complete course: https://ocw.mit.edu/14-01F23
YouTube Playlist: https://www.youtube.com/playli....st?list=PLUl4u3cNGP6

Prof. Gruber introduces the class by explaining microeconomics as the study of individuals and firms who make themselves as well off as possible in a world full of scarcity. He then explains the core concepts of supply and demand. Keywords: microeconomics, scarcity, constrained optimization, supply and demand

License: Creative Commons BY-NC-SA
More information at https://ocw.mit.edu/terms
More courses at https://ocw.mit.edu
Support 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.

In this lecture, we highlight the course logistics and give a brief overview of the course.

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)

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

In this video I walk through a general text generator based on a character level RNN coded with an LSTM in Pytorch in the application of generating new baby names.

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

GitHub Repository:
https://github.com/aladdinpers....son/Machine-Learning

✅ Equipment I use and recommend:
https://www.amazon.com/shop/aladdinpersson

❤️ Become a Channel Member:
https://www.youtube.com/channe....l/UCkzW5JSFwvKRjXABI

✅ One-Time Donations:
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▶️ You Can Connect with me on:
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LinkedIn - https://www.linkedin.com/in/al....addin-persson-a95384
GitHub - https://github.com/aladdinpersson

PyTorch Playlist:
https://www.youtube.com/playli....st?list=PLhhyoLH6Ijf

🔥Product Management Professional Program: https://www.simplilearn.com/product-management-training-course-online?utm_campaign=4VwM4oTqRD0&utm_medium=Lives&utm_source=youtube
🔥Professional Certification in Product Management: https://www.simplilearn.com/product-management-certification-training-course?utm_campaign=4VwM4oTqRD0&utm_medium=Lives&utm_source=youtube

This Product Management Full Course by Simplilearn provides a complete overview of the field, starting with What is Product Management and What a Product Manager Does, followed by essential Product Management Skills and creating a Product Roadmap. It covers key concepts like Product Market Fit, Product Backlog, and PM Roles and Responsibilities, alongside distinctions such as Product Manager vs. Project Manager and Product Manager vs. Product Owner. The course delves into practical frameworks like Go-To-Market Strategy, Market Research, and Agile Principles, while offering tools such as Top 10 PM Tools and Product Manager KPI Techniques. It also addresses critical concepts like MVP, SCRUM Meetings, User Persona Creation, and Product Lifecycle Management, culminating with strategies to ace Product Management Interview Questions.

These are the following topics covered in this Product Manager Full Course:

00:00:00 Introduction to Product Management Full Course
00:11:35 What is Product Management
00:11:52 What does a product manager do?
00:19:09 Product Management Skills
00:38:16 Product Roadmap
00:42:01 Certification in product Manager
00:51:45 What is product market fit
01:07:04 Product sense mock interview
01:26:39 Product Manager Vs Project Manager
01:33:20 product Backlog
01:41:58 PM Roles and responsibilities
02:06:11 Top 10 PM Tools
02:39:04 Product Manager KPI Techniques
03:01:38 Product Manager Vs Product owner
03:03:03 Go TO Market Strategy Framework
03:20:57 What is Market Research
03:30:18 Agile Principles
03:31:18 How to create user persona
03:55:13 What is MVP
03:57:43 SCRUM Meeting Explained
03:59:28 Product Lifecycle Management
04:10:49 How to answer Product Management Interview Questions

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

#ProductManagementFullCourse #productmanagement #productmanager #simplilearn #2025

➡️About Professional Certification In Product Management
Professional Product Management Course by SP Jain School of Global Management prepares you to become a product manager via an exhaustive curriculum covering all aspects of product management. This program focuses on the latest industry trends, advancements and related industry applications taught by top product experts via live sessions.

Key Features
✅ Certificate from SP Jain School of Global Management
✅ Live sessions by SP Jain top global faculties
✅ Get access to SPJ Exec Ed Alumni benefits post program completion
✅ Leverage Generative AI as a Product Manager using tools such as ChatGPT, Google Bard, Gencraft, Midjourney, & Picsart
✅ Product management masterclass by industry experts from companies like Google, Facebook, Amazon, Microsoft and more
✅ Hands-on learning experience by solving real-life product problems via projects on Facebook, Tesla, Instagram, Netflix & Nike
✅ Product manager toolkit training
✅ JIRA, Mixpanel, Google Analytics & Balsamiq
✅ Hands-on learning via case studies and assignments
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies

Skills Covered
✅ Product Strategy
✅ Product Market fit
✅ Product Ideation
✅ Rapid Prototyping
✅ Product Lifecycle Management

Learning Path
✅ UCSD PM: Induction Session for Product Management Program
✅ UCSD PM: Essentials - Introduction to Product Management
✅ UCSD PM: Essentials - Building Key Assets That Drive Product
✅ UCSD PM: Essentials - Building a Product Strategy
✅ UCSD PM: Essentials - Product Planning
✅ UCSD PM: Essentials - Working with Other Teams
✅ UCSD PM: Essentials - Hypothesis Validation
✅ UCSD PM: Essentials - Agile Development Process
✅ UCSD PM: Essentials - Building Prototypes
✅ UCSD PM: Essentials - Product Analytics
✅ UCSD PM: Essentials - Business Fundamentals
✅ UCSD PM: Essentials - Portfolio Assessment
✅ UCSD PM: User Experience Research for Product Managers
✅ UCSD PM: Product Design for Product Managers
✅ UCSD PM: Product Marketing for Product Managers
✅ UCSD PM: Introduction to Software Development Basics for Product Managers
✅ UCSD PM: Product Management Tools
✅ UCSD PM: Product Management Capstone Project
Electives:
✅ Masterclass by UC San Diego Division of Extended Studies
✅ UCSD PM: Product Management Masterclass by Industry Experts
✅ UCSD PM: Product Teardown Sessions
✅ UCSD PM: AI- Powered Product Management

🔥Learn More about Product Management Professional Program: https://www.simplilearn.com/product-management-training-course-online?utm_campaign=4VwM4oTqRD0&utm_medium=Lives&utm_source=youtube

This video introduces the syllabus and organization of the "Introduction to Deep Learning and Generative Modeling" course.

Link to the slides: https://sebastianraschka.com/p....df/lecture-notes/sta

-------

This video is part of my Introduction of Deep Learning course.

Next video: https://youtu.be/6VbtJ9nn5ng

The complete playlist: https://www.youtube.com/playli....st?list=PLTKMiZHVd_2

A handy overview page with links to the materials: https://sebastianraschka.com/b....log/2021/dl-course.h

-------

If you want to be notified about future videos, please consider subscribing to my channel: https://youtube.com/c/SebastianRaschka

Learn how to build production-ready multi-agent systems and automate workflows using LangChain and LangGraph. You'll master everything from core agentic fundamentals and Pydantic validation to advanced sequential, parallel, and conditional LangGraph workflows. Along the way, you'll implement chat memory, RAG, and human-in-the-loop controls, and finish by deploying your applications to AWS and Render through real-world projects like a custom ChatGPT, trip planner, and auto content agent.

Code: https://github.com/entbappy/Co....mplete-Agentic-AI-Co

Bappy's YouTube Channel: https://www.youtube.com/@dswithbappy
Bappy's LinkedIn profile: https://www.linkedin.com/in/boktiarahmed73/
Bappy's Udemy: https://www.udemy.com/user/boktiar-ahmed-bappy/

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

⭐️ Chapters ⭐️
- 00:00:00 Introduction & Planning
- 00:08:33 Evolution from LLMs to Agentic AI
- 00:41:26 Agentic AI: Core Characteristics & Components
- 01:33:18 Asynchronous Programming for AI Agents
- 02:06:23 Pydantic for AI Agents - Pydantic Data Validation
- 03:27:08 Building End-to-End Single AI Agent System using LangChain
- 04:49:37 Building End-to-End Multi-Agent AI System with LangChain
- 06:30:27 What is LangGraph & Why It’s Required? | LangChain vs LangGraph
- 07:44:43 Understanding LangGraph Core Components
- 08:29:07 Build Sequential Workflows in LangGraph
- 09:19:04 Implement Parallel Workflows in LangGraph
- 10:15:27 Master Conditional Workflows in LangGraph
- 11:06:05 LangGraph Iterative Workflows Explained
- 11:35:51 Build Your First Agentic Chatbot with LangGraph
- 12:43:49 Why Persistence is Required in LangGraph
- 13:51:00 Streaming Responses in Agentic Chatbot with LangGraph
- 14:10:02 How to Add Chat Threading in Agentic Chatbot using LangGraph
- 14:42:02 Build Permanent Chat Persistence Memory with LangGraph and Database
- 15:16:31 Monitor Your Agentic Chatbot with LangSmith & LangGraph
- 15:40:24 How to Integrate Tools in Agentic Chatbot with LangGraph
- 16:54:17 Implement RAG in Agentic Chatbot with LangGraph
- 17:50:27 Implement Human-in-the-Loop (HITL) in Agentic Chatbot using LangGraph
- 18:48:09 Agentic Chatbot CI/CD Deployment on AWS with Docker & GitHub Actions
- 19:52:05 Deploy Agentic AI Chatbot on Render for FREE with Docker
- 20:06:27 Project: Build Your Own ChatGPT Agent with LLMs, LangGraph, FastAPI, LangSmith, ChromaDB, SQLAlchemy & AWS
- 22:21:17 Project: Build TripMate AI End-to-End: Multi-Agent Travel Planner with Groq, LangGraph, PostgreSQL & FastAPI

🎉 Thanks to our Champion and Sponsor supporters:
👾 @omerhattapoglu1158
👾 @goddardtan
👾 @akihayashi6629
👾 @kikilogsin
👾 @anthonycampbell2148
👾 @tobymiller7790
👾 @rajibdassharma497
👾 @CloudVirtualizationEnthusiast
👾 @adilsoncarlosvianacarlos
👾 @martinmacchia1564
👾 @ulisesmoralez4160
👾 @_Oscar_
👾 @jedi-or-sith2728
👾 @justinhual1290

--

Learn to code for free and get a developer job: https://www.freecodecamp.org

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

Build your first AI agent in just 10 minutes — no coding, APIs, or complicated automation workflows required.
In this video, I’ll show you how to build a simple but genuinely useful AI agent using Claude Cowork. We’ll create a Daily AI Research Agent that searches the web for important AI news, summarizes the biggest stories, explains why they matter, and then automatically saves the finished report to Google Drive every morning.
You’ll see how to give an AI agent a clear goal, improve its instructions, give it access to the right tools, and turn the workflow into an automated scheduled task.
We’ll also cover what actually makes something an AI agent, why you don’t need a giant workflow with dozens of integrations to get started, and an important safety consideration before giving AI agents access to your apps and accounts.

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CHAPTERS:

00:00 Build Your First AI Agent
00:37 What Is an AI Agent?
01:16 The AI Agent We’re Building
02:27 Build an Agent with Claude Cowork
04:08 Free HubSpot AI Agent Course
05:31 Check What your agent produces
07:06 Automate Your AI Agent
08:12 Why This Is Actually an AI Agent
09:00 One Important AI Agent Warning

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❤ Anjana

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Description: This video is based on the Excel Full course. This Excel Full Course video will help you understand the fundamentals of Microsoft Excel, spreadsheet functionalities, and various crucial functions available in Excel, such as lookup, H lookup, sumif/s, counif/s, iferror, and others. Finally, you will see some most frequently asked interview questions based on Microsoft Excel.

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What is Microsoft Excel?
Excel is one of the best applications available for creating spreadsheets to crunch numbers and dashboard reports and storing and administering data. This software first appeared on the scene in 1987, and since then, it has grown to become one of the most popular software for homes or businesses. Excel can be used for data entry to store data in the form of a table, such as recording your daily expenses or business expenditure. It can also be used for inventory management.

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Start your business analysis career with our Post Graduate Program in Business Analysis, in partnership with Purdue University. This business analysis certification program helps you build extensive business expertise with real-world projects and prepares you for the business analyst role. This Post Graduate Program in Business Analysis will help you master business analysis techniques, Agile Scrum methodologies, SQL database, and visualization tools, including Excel, Power BI, and Tableau. You will learn about business analysis planning and monitoring, build interactive dashboards and understand the competencies of a Business Analyst.

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Learn how to use Figma Variants to design a scalable mobile app. Variants can streamline your frontend design process by allowing you to group and organize similar components into a single container.

✏️ Ahmet Efeoglu developed this course. Check out his channel: https://www.youtube.com/channe....l/UCSziSLMFFNT4PaRQh

🔗 Tutorial file link: https://www.figma.com/file/FrL....R3t9jZ9X8psPdmztdlh/
🔗 Homework file link: https://www.figma.com/file/8js....2feuv6LdhmvVtBXkC2L/

⌨️ (0:00:18) Intro
⌨️ (0:02:13) Accessing Tutorial and Homework Files
⌨️ (0:04:24) Project Overview
⌨️ (0:05:27) Recommending Personal and freeCodeCamp Channel
⌨️ (0:06:25) Basics Overview
⌨️ (0:08:22) Learning The Frame Functionality
⌨️ (0:10:25) Learning The Autolayout Functionality
⌨️ (0:14:39) Learning The Component Functionality
⌨️ (0:18:55) Learning The Variant Functionality
⌨️ (0:21:42) Creating The Type System
⌨️ (0:28:41) Creating The Color Palette/System
⌨️ (0:35:54) Creating The Icon Set
⌨️ (0:41:34) Creating Input Variants
⌨️ (0:52:23) Creating Large Button Variant
⌨️ (1:00:47) Designing Sign Up and Login Screen
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⌨️ (1:23:14) Creating The Filter Variant
⌨️ (1:27:40) Creating Bottom Navigation Variant
⌨️ (1:35:02) Creating Image Card Variant
⌨️ (1:49:27) Updating Input Variant
⌨️ (1:57:31) Designing The Discover Screens
⌨️ (2:15:20) Creating Large Avatar Variant
⌨️ (2:24:05) Creating Small Button Variant
⌨️ (2:32:45) Creating The Benefit Card Variant
⌨️ (2:46:45) Designing Details Screen

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This video on the "Artificial Intelligence full course" video cover all the topics you need to know to become a master in AI and ML. It covers all the basics of Machine Learning, the different types of Machine Learning, and the various applications of Machine Learning used in different industries. This video will also help us understand the basics of artificial intelligence. We will look at the future of AI and listen to some of the industry experts and learn what they have to say about AI. Finally, you will learn the Top 10 Artificial Intelligence Technologies In 2022.

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What is Artificial Intelligence?
Artificial Intelligence is a method of making a computer, a computer-controlled robot, or software think intelligently like the human mind. AI is accomplished by studying the patterns of the human brain and by analyzing the cognitive process. The outcome of these studies develops intelligent software and systems.

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This AI ML course is designed to enhance your career in AI and ML by demystifying concepts like machine learning, deep learning, NLP, computer vision, reinforcement learning, and more. You'll also have access to 4 live sessions, led by industry experts, covering the latest advancements in AI such as generative modeling, ChatGPT, OpenAI, and chatbots.

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Anthropic’s Barry Zhang (Applied AI), Erik Schluntz (Research), and Alex Albert (Claude Relations) discuss the potential of AI agents, common pitfalls to avoid, and how to prepare for the evolving landscape.

Read more advice on building agents: https://www.anthropic.com/rese....arch/building-effect

00:00 Introduction
00:26 Defining AI agents and workflows
02:55 Anatomy of an agent prompt
04:29 Behind the scenes stories
07:29 Why write about agents now
08:53 Overhyped and underhyped aspects of agents
09:57 Identifying useful applications of agents
10:47 Coding agents: Potential and challenges
12:47 The future of agents in 2025
16:26 Advice for developers exploring agents

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Want to build AI agents but think you need to code? Wrong. In this video, I show you exactly how to create production-ready AI agents from scratch using three platforms: OpenAI Agent Builder, Botpress, and Zapier AI Agents.

You'll see the full workflow—from blank canvas to live agent—including:
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✅ Real-time testing and deployment
✅ Multi-channel publishing (WhatsApp, Slack, web chat)
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✅ Cost comparison and scaling strategies

🎯 WHAT YOU'LL LEARN:
• How to use ChatGPT to write agent prompts for you
• Setting up FAQ bots, customer support agents, and lead collectors
• Connecting knowledge bases (PDFs, websites, Notion)
• Deploying agents across WhatsApp, websites, and messaging platforms
• Why most platforms mark up LLM costs 30-50% (and how to avoid it)
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1:09 — How to Build an AI Agent with OpenAI
3:49 — How to Build an AI Agent with Botpress
6:26 — Knowledge Base & RAG System
8:00 — Choosing Your LLM Model
8:41 — Testing & Deployment
9:11 — How to Build an AI Agent with Zapier
12:32 — Lead Collection Workflows in Botpress
15:32 — Deployment Across Channels
17:21 — Why Botpress for Production

🚀 START BUILDING TODAY:
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