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🔥Purdue - Ai And Machine Learning Post Graduate Certificate Program - https://www.simplilearn.com/applied-ai-course?utm_campaign=DI_5nkW6h0M&utm_medium=DescriptionFirstFold&utm_source=Youtube
Today, we're diving into an exciting topic on how to make money using ChatGPT, an AI-powered tool that can help you earn passive income. If you're eager to start making money easily, keep watching!
In this video, we'll show you some of the best ways to make money with ChatGPT. This smart AI tool is changing how people make money online. It's free and easy to use, so you don't need special skills or money to get started. We’re in an exciting time for AI, and now is the perfect moment to take advantage of this opportunity.
We'll guide you through different ways to use ChatGPT, including making money on YouTube, blogging, freelancing, creating digital products, and affiliate marketing. You'll learn how to create engaging YouTube videos, write great blog posts, take on freelance jobs, develop and sell digital products, and drive sales with affiliate marketing, all with ChatGPT's help.
Below are the topics covered in this Tips & Tricks To Make Money Using ChatGPT video :-
00:00 - How to earn money with chatgpt
02:02 Ways to earn money with chatgpt demo
02:13 Get Business ideas from chatgpt
04:43 Freelancing ideas
05:53 build software
09:17 Email Marketing
12:55 Affiliate Marketing
16:13 Content Creation
1. How can I use ChatGPT to create content for my YouTube channel?
Answer: Use ChatGPT to generate video scripts, ideas, and respond to comments. Input your topic, and ChatGPT provides a well-structured script, saving you time on research and writing, allowing you to focus on production and editing.
2. What are the benefits of using ChatGPT for blogging and content creation?
Answer: ChatGPT streamlines your blogging process by providing content ideas, drafting posts, and optimizing for SEO. This helps you maintain a consistent posting schedule, attract more readers, and increase monetization opportunities.
3. Can ChatGPT help me with freelancing opportunities, and if so, how?
Answer: Yes, ChatGPT assists in writing articles, creating marketing copy, drafting emails, and customer support. It helps you deliver high-quality work efficiently, expanding your freelancing opportunities and income potential.
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#ChatgPT #chatgpt4o #ArtificialIntelligence #MachineLearning #2024 #Simplilearn
➡️ About Artificial Intelligence Engineer
This Artificial Intelligence Engineer course Created in partnership with IBM, this course introduces students to blended learning and prepares them to be AI and Data Science specialists. In Armonk, New York, IBM is a significant cognitive service and integrated cloud solution firm that provides many technology and consulting solutions.
IBM is a leader in AI and Machine Learning technology verticals for 2021. This AI masters course will prepare students for Artificial Intelligence and Data Analytics careers.
✅ Key Features
- Add the IBM Advantage to your Learning
- 25 Industry-relevant Projects and Integrated labs
- Immersive Learning Experience
- Simplilearn's JobAssist helps you get noticed by top hiring companies
✅ Skills Covered
- ChatGPT
- Flask
- Matplotlib
- django
- Python
- Numpy
- Pandas
- SciPy
- Keras
- OpenCV
- And Many More…
👉 Enroll Now: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=28June24CHatgptToMakMoney&utm_medium=Description&utm_source=youtube
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✅ Inspiring Success Stories of Simplilearn's Learners: https://www.simplilearn.com/reviews?utm_campaign=28June24CHatgptToMakMoney&utm_medium=Description&utm_source=youtube
🔥Professional Certificate Program in Generative AI and Machine Learning - IITG (India Only) - https://www.simplilearn.com/iitg-generative-ai-machine-learning-program?utm_campaign=dTVdfjAit-s&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Purdue - Ai And Machine Learning Post Graduate Certificate Program - https://www.simplilearn.com/applied-ai-course?utm_campaign=dTVdfjAit-s&utm_medium=DescriptionFirstFold&utm_source=Youtube
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⏩ Check out the Artificial Intelligence training videos: https://youtube.com/playlist?l....ist=PLEiEAq2VkUULa5a
#ChatGPTExpertCourse #ChatGPT Expert #ChatGPT #ChatGPTForBeginners #ChatGPT #Chat_GPT #ChatGPTTutorial #ChatGPTForBeginners #Simplilearn
➡️ About Caltech Post Graduate Program In AI And Machine Learning
Designed to boost your career as an AI and ML professional, this program showcases Caltech CTME's excellence and IBM's industry prowess. The artificial intelligence course covers key concepts like Statistics, Data Science with Python, Machine Learning, Deep Learning, NLP, and Reinforcement Learning through an interactive learning model with live sessions.
✅ Key Features
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- PGP AI & ML completion certificate from Caltech CTME
- Masterclasses delivered by distinguished Caltech faculty and IBM experts
- Caltech CTME Circle Membership
- Earn up to 22 CEUs from Caltech CTME
- Online convocation by Caltech CTME Program Director
- IBM certificates for IBM courses
- Access to hackathons and Ask Me Anything sessions from IBM
- 25+ hands-on projects from the likes of Twitter, Mercedes Benz, Uber, and many more
- Seamless access to integrated labs
- Capstone projects in 3 domains
- 8X higher interaction in live online classes by industry experts
✅ Skills Covered
- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- Recommendation Systems
- NLP
- Neural Networks
- GANs
- Deep Learning
- Reinforcement Learning
- Speech Recognition
- Ensemble Learning
- Computer Vision
👉 Enroll Now: https://www.simplilearn.com/artificial-intelligence-masters-program-training-course?utm_campaign=20August2023LGLoopEvening1-lLI4gjk24UE&utm_medium=Description&utm_source=youtube
🔥🔥 *Interested in Attending Live Classes? Call Us:* IN - 18002127688 / US - +18445327688
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🔥Professional Certificate Program in Generative AI and Machine Learning - IITG (India Only) - https://www.simplilearn.com/iitg-generative-ai-machine-learning-program?utm_campaign=FgS7A59nkxw&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Purdue - Ai And Machine Learning Post Graduate Certificate Program - https://www.simplilearn.com/applied-ai-course?utm_campaign=FgS7A59nkxw&utm_medium=DescriptionFirstFold&utm_source=Youtube
In this ChatGPT full course, we'll explore how chatgpt is useful in various domains, what is chat gpt and how to use chatgpt, how strong are the competitors of chatgpt and much more.
00:00 ChatGPT Complete Course
What is GPT 4?
Automate Excel using ChatGPT
How to use ChatGPT for SEO?
Chat GPT for Content Creation
Master SEO Content Using ChatGPT
ChatGPT for Marketing
How to Build a Website Using ChatGPT
Chat GPT for Programming
Can ChatGPT Solve LeetCode Problems?
Create a Telegram Bot Using ChatGPT
How To Integrate ChatGPT With Whatsapp
Automate WhatsApp using ChatGPT
Build a Game using Python and ChatGPT
ChatGPT in Cybersecurity
ChatGPT for UI/UX Design
6 Reasons Why ChatGPT Can Make Your Business
9 Ways to Make Money Online Using ChatGPT
Bing vs Bard vs ChatGPT : Comparison
Will ChatGPT and Bard Take Over SEO?
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#ChatGPTCompleteCourse #ChatGPTFullCourse #ChatGPTCourse #ChatGPTExpert #ChatGPTForBeginners #ChatGPT #Chat_GPT #ChatGPTTutorial #ChatGPTOpenAI #Simplilearn
➡️ About Post Graduate Program In AI And Machine Learning
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.
✅ Key Features
- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 3 Capstones and 25+ Projects with industry data sets from Twitter, Uber, Mercedes Benz, and many more
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Gain access to 4 live online sessions on latest AI trends such as ChatGPT, generative AI, explainable AI, and more
- Learn about the applications of ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools
✅ Skills Covered
- ChatGPT
- Generative AI
- Explainable AI
- Generative Modeling
- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- NLP
- Neural Networks
- Computer Vision
- And Many More…
👉 Enroll Now: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=28September2023ChatGPTCompleteCourse2023&utm_medium=Description&utm_source=youtube
🔥🔥 *Interested in Attending Live Classes? Call Us:* IN - 18002127688 / US - +18445327688
El Machine Learning y el Deep Learning son clave para la evolución de la Inteligencia Artificial porque permiten que las máquinas puedan aprender y mejorar por sí mismas, logrando que estas máquinas puedan hacer tareas complejas y resolver problemas de manera autónoma. Pero, ¿qué es Machine Learning y Deep Learning exactamente? Te lo explicaremos en este nuevo video de EDteam.
Y si no lo sabías #LoAprendisteEnEDteam
🎉 ¡CURSOS NUEVOS DE LA SEMANA!
1. Curso: Android desde cero https://edy.to/android-yt
2. Curso: Desarrollo de apps con Vue 3 y TypeScript (Pre-venta) https://edy.to/vue-typescript-yt
Si quieres que EDteam de una conferencia gratis en tu institución, contáctanos aquí 👉 https://ed.team/conferencias
💻 Cursos recomendados:
- Carrera: Machine Learning e Inteligencia Artificial https://ed.team/especialidades/machine-learning
- Curso: Introducción al Machine Learning https://edy.to/ML-yt
- Curso: Introducción a las redes neuronales artificiales https://edy.to/redes-neuronales-yt
- Curso: Redes neuronales con TensorFlow https://edy.to/tensorflow-yt
📺 Videos recomendados
- ¿Qué es la Inteligencia Artificial y cómo está cambiando al mundo? https://www.youtube.com/watch?v=98-SzelNMzU
- ¿Qué es el Big Data? https://www.youtube.com/watch?v=M26iIqmqWkI&t=6s
- ¡Los peores errores de programación de la historia! https://www.youtube.com/watch?v=qi9nFs2caj4
⌚ Timeline:
00:00 - Introducción
00:59 - Que es Machine Learning
04:50 - Tipos de MAchine Learning
08:00 - Las Redes Neuronales
11:40 - El Deep Learning
- 🧑🎓👩🎓 ¿Eres estudiante? Postula a las becas de EDteam: https://edy.to/estudiantes-yt
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- 💻 Mira todos nuestros cursos en: https://edy.to/cursos-yt
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Announcement: New Book by Luis Serrano! Grokking Machine Learning. bit.ly/grokkingML
40% discount code: serranoyt
A friendly explanation of how computers predict and generate sequences, based on Recurrent Neural Networks.
For a brush up on Neural Networks, check out this video: https://www.youtube.com/watch?v=BR9h47Jtqyw
0:00 A friendly introduction to Recurrent Neural Networks
1:38 A friendly introduction to Deep Learning and Neural Networks
2:11 Vectors
5:22 Perfect Roommate
7:13 Simple Neural Network
7:54 Simple (Recurrent) Neural Network
10:03 Cooking Schedule
11:47 More Complicated RNN
12:06 Food
13:31 Weather
14:38 Add
16:02 Merge
20:53 Start with random weights
21:05 Use Gradient Descent
21:41 New Error Function
Announcement: New Book by Luis Serrano! Grokking Machine Learning. bit.ly/grokkingML
40% Discount code: serranoyt
Welcome! I believe that math concepts can be learned through simple explanations, analogies and easy-to-understand visualizations. I am passionate about teaching math concepts in relatable, friendly and simple ways. My videos are designed so that beginners can clearly learn new concepts while experts can see them under a new light. I hope you enjoy the channel and please drop me a line if you have any comments or suggestions. Twitter: @luis_likes_math.
Github repo: http://www.github.com/luisguis....errano/singular_valu
Grokking Machine Learning Book:
https://www.manning.com/books/....grokking-machine-lea
40% discount promo code: serranoyt
In this video, we learn a very useful matrix trick called singular value decomposition (SVD), in which we express a matrix as a product of two rotation matrices and one scaling matrix.
We also show a very interesting application to image compression.
Similar videos:
Principal component analysis (PCA): https://www.youtube.com/watch?v=g-Hb26agBFg
Matrix factorization and Netflix recommendations: https://www.youtube.com/watch?v=ZspR5PZemcs
Introduction: (0:00)
Transformations: (0:50)
A puzzle: (1:27)
A harder puzzle: (2:21)
Linear transformations: (3:50)
Dimensionality reduction: (10:50)
Image compression: (23:57)
Covariance matrix video: https://youtu.be/WBlnwvjfMtQ
Clustering video: https://youtu.be/QXOkPvFM6NU
A friendly description of Gaussian mixture models, a very useful soft clustering method.
Announcement: New Book by Luis Serrano! Grokking Machine Learning. bit.ly/grokkingML
40% discount code: serranoyt
0:00 Introduction
0:13 Clustering applications
1:56 Hard clustering - soft clustering
3:36 Step 1: Colouring points
6:10 Step 2: Fitting a Gaussian
10:33 Gaussian Mixture Models (GMM)
Anthropic’s Alex Albert (Claude Relations) sits down with Erik Schluntz (Multi-Agent Research and co-author of our blog post, Building Effective Agents) for a discussion on the evolution of agents over the past six months, including tips for building multi-agent systems, common multi-agent patterns, and best practices for using skills, MCP servers, and tools.
00:00 - Introductions
00:35 - Training Claude to tackle agentic tasks
1:30 - Making Claude more autonomous with code
3:20 - Using the Claude Agent SDK to build agents
5:00 - Tips for using Agent Skills
6:40 - The evolution of workflows and agents (workflows of agents)
8:30 - The value of simple agent architectures
9:30 - Building multi-agent systems: orchestrators, subagents, and tool calling
11:40 - Training Claude to use subagents
12:25 - Multi-agent use design patterns: parallelization, MapReduce, and test-time compute
13:20 - Coordinating problem solving with tools and subagents
14:15 - Common agent failure modes
15:00 - Best practices for getting started with building agents (context engineering, MCPs, and tools)
17:15 - The future of agents: coding, computer use, and beyond
Read the original blog post: https://www.anthropic.com/engi....neering/building-eff
Learn more about Agent Skills: https://www.anthropic.com/engi....neering/equipping-ag
Check out Kimi here! https://www.kimi.com/?utm_campaign=TR_grOjaW6m&utm_content=&utm_medium=Youtube&utm_source=CH_kEMBez3l&utm_term=
Timestamps ⏰
00:00 AI agents course!
01:13 Basics of AI Agents - What is an AI Agent?
02:58 What tasks are agents good for?
05:47 Spectrum of Autonomy
06:45 Context Engineering
07:13 Task Decomposition
07:59 Demo: No-Code Agent System
09:22 Intermediate AI Agents - Measuring Performance
10:39 Memory
11:42 Guardrails
12:50 Reflection
13:56 Tool Use
15:51 Designing Good Tools
16:56 Planning
19:05 Multi-Agent Collaboration
20:38 Multi-Agent System Design - Roles
21:25 Multi-Agent System Design - Communication Patterns
23:09 Multi-Agent System Design - Communication Pitfalls
23:44 Multi-Agent System Design - Best Practices
25:02 Demo: Multi-Agent System in Python
26:14 Advanced AI Agents - Advanced Task Decomposition
29:02 Improving Performance
30:26 Reducing Latency
31:16 Reducing Cost
32:39 Observability and Monitoring
35:10 Security
37:17 Bonus Resource!
----------------------------------------
Agentic System Design:
https://gerred.github.io/build....ing-an-agentic-syste
The slides and examples were adapted from a few different courses, including:
https://www.deeplearning.ai/co....urses/design-develop
https://learn.deeplearning.ai/....courses/agentic-ai/i
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Want to become an AI Engineer? Download my AI Engineering Skills Checklist here: https://www.gratitudedriven.co....m/c/ai-engineering-c
💬 Want to talk 1:1? Book time to chat with me here: https://topmate.io/marina_wyss
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----------------------------------------
🎥 Other videos you might like:
AI Engineering in 76 Minutes (Complete Course/Speedrun!)
https://www.youtube.com/watch?v=JV3pL1_mn2M&t=2s
AI Engineering: A *Realistic* Roadmap for Beginners
https://www.youtube.com/watch?v=dbUIjFXIpis
4 *Real* Machine Learning Projects That Get You Hired - No More Tutorials!
https://www.youtube.com/watch?v=MFSFcPsMsuE
----------------------------------------
🦫 About me
I am a Senior Applied Scientist (basically, a blend of Data Scientist/Machine Learning Engineer) at Twitch/Amazon. Outside of my full-time job I'm a 1:1 career coach for people looking to break into the field, with a focus on those from non-traditional backgrounds.
I’m also a Certified Personal Trainer, always busy with too many interests, and really, deeply happy with my life. I hope to be able to help others achieve these things, too.
----------------------------------------
✉️ Contact
Instagram: https://www.instagram.com/marina.wyss/
Twitter/X: https://x.com/iammarinawyss
TikTok: https://www.tiktok.com/@gratitudedriven
Leave me a comment here on YouTube!
Business email: business@gratitudedriven.com
----------------------------------------
⚖️ Disclaimer
The views and opinions expressed in this video are my own and do not reflect the official policy or position of Twitch/Amazon or any other company I have worked for. All advice and insights shared here are based on my personal experiences and should be considered as such.
Thank you to Kimi for sponsoring this video!
This description may contain affiliate links. If you make a purchase I may make a small commission at no cost to you.
#AI #AIEngineering #AIAgents
#sponsored Build your first AI agent for free https://botpress.com/?utm_source=youtube&utm_medium=cpc&utm_campaign=aimaster&utm_term=buildchatgptagent
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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:
✅ Knowledge base setup with RAG
✅ Real-time testing and deployment
✅ Multi-channel publishing (WhatsApp, Slack, web chat)
✅ Lead collection workflows
✅ 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)
• Which platform fits your use case: internal tools vs customer-facing agents
⚙️ PLATFORMS COVERED:
→ OpenAI Agent Builder: Fast setup, internal tools, shareable links
→ Zapier AI Agents: Automation workflows, trigger-based actions
→ Botpress: Production-grade agents, 190+ integrations, no LLM markup
📂 TIMESTAMPS:
0:00 — Build AI Agents Without Coding
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:
The hardest part isn't building—it's starting. Pick one platform, sign up, and build your first agent this week. Start with a simple FAQ bot or lead collector, test it, deploy it, and scale from there.
💬 Built something cool? Tag me—I want to see it.
🔔 SUBSCRIBE for more AI tool comparisons, agent tutorials, and no-code automation workflows.
---
#AIAgents #NoCoding #ChatGPT #Botpress #Zapier #AIAutomation #CustomerSupport
Try Notion for free → https://ntn.so/techwithtim
👉 Check out PyCharm, the only Python IDE you need. Built for web, data, and AI/ML professionals. Download now. Free forever, plus one month of Pro included: https://jb.gg/check_out_pycharm_ide
Today I'm going to show you how to build an AI agent in Python in less than ten minutes.
Want to make real money with coding? I share high-signal insights on careers, monetization, and leverage in my free newsletter. Join here and get my guide How to Make Money With Coding instantly: https://techwithtim.net/newsletter
🎞 Video Resources 🎞
UV Video: https://www.youtube.com/watch?v=6pttmsBSi8M
Code in this video: https://github.com/techwithtim..../PythonAIAgentin10Mi
⏳ Timestamps ⏳
00:00 | Install & Setup
01:23 | OpenAI API Key
03:26 | Imports
04:42 | Tools
06:39 | LLM & Agent
07:43 | Driver Code
09:45 | Testing
Hashtags
#Python #AIAgents #Notion
Check out HubSpot’s AI Agents Unleashed: Playbook for 2025 Success - https://clickhubspot.com/23bc50
🤖 Want to get ahead in your career using AI? Join the waitlist for my AI Agent Bootcamp: https://www.lonelyoctopus.com/ai-agent-bootcamp
I tested every no-code AI agent builder so you don’t have to.
From StackAI and Relevance AI to n8n, Flowise, Lindy, and Dify, this video breaks down the best platforms to create AI agents — without writing a single line of code.
You’ll learn:
⚙️ The core features and ideal use cases of each builder
🧩 How each platform handles automation, API integration, and LLM workflows
📈 When to use visual tools vs workflow orchestrators
💡 The difference between automations and dynamic agents — and why it matters
🚀 The easiest way to go from idea → AI agent → deployed product
We’ll explore:
StackAI for general-purpose agents and API publishing
Relevance AI for scalable workflows
n8n for powerful orchestration & branching logic
Flowise / Langflow for open-source prompt engineering
Dify and Lindy for hybrid and business automation
Botpress, Bubble, Make, MindStudio, and more
By the end, you’ll know exactly which no-code agent builder fits your workflow.
🤝 Business Inquiries: https://tally.so/r/mRDV99
🔗 Tools & Resources Mentioned
https://learn.deeplearning.ai/....courses/agentic-ai/l
https://learn.deeplearning.ai/....courses/agentic-ai/l
https://learn.deeplearning.ai/....courses/agentic-ai/l
https://learn.deeplearning.ai/....courses/agentic-ai/l
🔗Affiliates
========================
My SQL for data science interviews course (10 full interviews):
https://365datascience.com/lea....rn-sql-for-data-scie
365 Data Science:
https://365datascience.pxf.io/WD0za3 (link for 57% discount for their complete data science training)
Check out StrataScratch for data science interview prep:
https://stratascratch.com/?via=tina
🎥 My filming setup
========================
📷 camera: https://amzn.to/3LHbi7N
🎤 mic: https://amzn.to/3LqoFJb
🔭 tripod: https://amzn.to/3DkjGHe
💡 lights: https://amzn.to/3LmOhqk
📲Socials
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tiktok: https://www.tiktok.com/@hellotinahuang
discord: https://discord.gg/5mMAtprshX
🎥Other videos you might be interested in
========================
How I consistently study with a full time job:
https://www.youtube.com/watch?v=INymz5VwLmk
How I would learn to code (if I could start over):
https://www.youtube.com/watch?v=MHPGeQD8TvI&t=84s
🐈⬛🐈⬛About me
========================
Hi, my name is Tina and I'm an ex-Meta data scientist turned internet person!
📧Contact
========================
youtube: youtube comments are by far the best way to get a response from me!
linkedin: https://www.linkedin.com/in/tinaw-h/
email for business inquiries only: tina@smoothmedia.co
========================
Some links are affiliate links and I may receive a small portion of sales price at no cost to you. I really appreciate your support in helping improve this channel! :)
🧪AI Agents Labs for Free: https://kode.wiki/3Wh4DZ6
Learn everything about AI agents from scratch in this comprehensive tutorial. No prior knowledge required. We'll take you from zero to building production-ready AI systems with hands-on labs.
🎯 What You'll Learn:
• AI Fundamentals - LLMs, tokens, embeddings, and context windows
• LangChain - Simplify AI development with pre-built components
• Prompt Engineering - Zero-shot, few-shot, and chain-of-thought techniques
• Vector Databases - Semantic search with ChromaDB and Pinecone
• RAG (Retrieval Augmented Generation) - Build intelligent document search
• LangGraph - Create multi-step AI workflows and agents
• MCP (Model Context Protocol) - Connect AI to external tools
🔧 Hands-On Labs Include:
✓ Making your first OpenAI API calls
✓ Building semantic search engines
✓ Creating RAG systems for document retrieval
✓ Developing multi-agent workflows
✓ Integrating external tools with MCP
Perfect for developers, data scientists, and anyone wanting to understand modern AI development. Follow along with free labs and build a real-world AI assistant that searches 500GB of documents in under 30 seconds.
🚨Start Your AI Journey with KodeKloud: https://kode.wiki/4qsrspX
⏰ TIMESTAMPS:
00:00 - Introduction to AI Agents
00:40 - How LLMs work in real time?
04:56 - Embeddings & Vector Representations
05:56 - How LangChain works?
10:12 - Practice Labs - Your First AI API Call
14:57 - Practice Labs - LangChain
17:57 - Prompt Engineering Techniques
21:21 - Practice Labs - Master Prompt Engineering
24:46 - Vector Databases Deep Dive
31:27 - Practice Labs - Build Semantic Search Engine
35:15 - RAG (Retrieval Augmented Generation)
38:14 - Practice Labs - RAG Implementation
42:14 - LangGraph for AI Workflows
45:51 - Practice Labs - Build Stateful AI Workflow
48:51 - Model Context Protocol (MCP)
51:56 - Practice Labs - Advanced MCP Concepts
55:21 - Conclusion
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This is the ultimate, no-code guide to building and deploying your first AI agent in under 30 minutes using N8N!
In this step-by-step tutorial, you'll learn how to connect the world's best AI models with a powerful no-code automation platform (N8N) to create an agent that works for you 24/7.
What you will build:
- A completely automated AI Agent that can consume a long piece of content, like a YouTube video (or article/document), and instantly process it.
- We'll specifically create an agent that summarizes a video and generates polished infographics from the summary, all automatically!
You will learn:
- The no-code stack for building reliable AI agents.
- How to connect N8N to different AI models and APIs.
- The complete process from concept to deployment.
No coding is required. If you want to get ahead in the AI revolution, this is an in-depth guide that can help you.
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CHAPTERS:-
00:00 Intro
00:24 Workflow
01:32 Setup Hostinger VPS
02:51 Creating nodes
04:18 On form submission
06:31 Extract YouTube transcript
10:35 Turn into Image
12:22 Prompt
15:30 Host image
17:46 Display Image
18:42 Publish workflow
20:52 Conclusion
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Want to see Maya Murad explain more about AI Agents? Click here to register for a Virtual Agents Webinar → https://ibm.biz/BdaAVa
Want to play with the technology yourself? Explore our interactive demo → https://ibm.biz/BdKsEf
In this video, Maya Murad explores the evolution of AI agents and their pivotal role in revolutionizing AI systems. From monolithic models to compound AI systems, discover how AI agents integrate with databases and external tools to enhance problem-solving capabilities and adaptability.
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