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What makes a system-support machine learning model development? Find out how to transit yourself into the machine learning engineering domain, with Chi Wang, the co-author of the book ๐ Engineering Deep Learning Systems ๐
This video is an excerpt from "What Developers Need to Know to Design Machine Learning Systems" - a live-streaming session by Chi Wang. To watch the full video, visit http://mng.bz/BZr8.
๐๐๐
Engineering Deep Learning Systems | http://mng.bz/lR58
To save 40% off this book use discount code: watchchiwang40
๐๐๐
About the book:
"Engineering Deep Learning Systems" teaches you to design and implement an automated platform to support creating, training, and maintaining deep learning models. In it, youโll learn just enough about deep learning to understand the needs of the data scientists who will be using your system. Youโll learn to gather requirements, translate them into system component design choices, and integrate those components into a cohesive whole. A complete example system and insightful exercises help you build an intuitive understanding of DL system design.
0) Introduction 00:00
1) Visual Recognition with a Fashion Dataset 2:30
2) Pneumonia Detection using CNNs 12:12
3) Using Cycle-GAN for Changing the genre of a music track 21:33
4) Earthquake Forecasting using Deep Learning 31:23
5) Detecting Malaria 40:54
6) A Neural Network for Fundamental Analysis 49:46
Class project presentations by students in the Stat 453: Introduction to Deep Learning class. See the titles and chapter bookmarks below.
(This video replaces a previous upload with the same title where the last talk was accidentally truncated.)
Non-technical friendly course explaining machine learning and deep learning that everyone can understand.
Full course playlist here: https://www.youtube.com/playli....st?list=PLnrO0TOwDbu
๐ฅ Prompt Engineering with LLM Course: https://www.edureka.co/prompt-....engineering-generati
๐ฅPost Graduate Program in Generative AI and ML: https://www.edureka.co/executi....ve-programs/pgp-gene
๐ฅGenerative AI Course: Masters Program: https://www.edureka.co/masters....-program/generative-
๐ฅIntegrated MS+PGP Program in Data Science & AI:https://www.edureka.co/dual-ce....rtification-programs
Dive into the world of artificial intelligence with this comprehensive LLM Prompt Engineering Full Course by edureka! in collaboration with Veranda Enterprise. In this course, you'll learn how to effectively communicate with large language models like ChatGPT by mastering the art of prompt engineering. From the fundamentals of zero-shot and few-shot prompting to advanced techniques like chain-of-thought and structured prompting, this course is designed to equip you with the practical skills needed to build powerful AI-driven applications. Whether you're a developer, data scientist, or complete beginner, this full course provides real-world examples, hands-on demos, and expert tips to help you unlock the full potential of generative AI. Start your journey into prompt engineering and take your AI skills to the next level.
๐ด ๐๐๐๐ซ๐ง ๐๐ซ๐๐ง๐๐ข๐ง๐ ๐๐๐๐ก๐ง๐จ๐ฅ๐จ๐ ๐ข๐๐ฌ ๐
๐จ๐ซ ๐
๐ซ๐๐! ๐๐ฎ๐๐ฌ๐๐ซ๐ข๐๐ ๐ญ๐จ ๐๐๐ฎ๐ซ๐๐ค๐ ๐๐จ๐ฎ๐๐ฎ๐๐ ๐๐ก๐๐ง๐ง๐๐ฅ: https://edrk.in/DKQQ4Py
๐Feel free to share your comments below.๐
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Please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: +18885487823 (toll-free) for more information.
๐ฅAgentic AI Training Course - Master AI Agents: https://www.edureka.co/agentic-ai-training-course
๐ฅIntegrated MS+PGP Program in Data Science & AI:https://www.edureka.co/dual-ce....rtification-programs
Explore the future of artificial intelligence with Agentic AI! In this video, we dive into the exciting developments and advancements that are set to shape the industry in 2026. We will learn what Agentic AI is and how it goes beyond traditional AI by acting with purpose and autonomy. Youโll discover 5 powerful secrets behind Agentic AIโfrom multi-agent collaboration to real-world tool integration and ethical guardrails. By the end, youโll understand how Agentic AI is transforming industries and why itโs the future of intelligent systems.
Join us as we discuss the latest trends, innovations, and predictions for Agentic AI in 2026. Whether you're an AI enthusiast, a business leader, or simply curious about the future of technology, this video is for you. Stay ahead of the curve and discover what's next for Agentic AI!
00:00:00 Introduction
00:01:28 What is Agentic AI?
00:12:20 Agentic AI vs Generative AI
00:33:33 Alexa+ Powered by Generative AI
00:44:47 Agentic AI Roadmap
00:51:15 Introduction to Artificial Intelligence
01:10:03 Introduction to Deep Learning
02:27:26 Artificial Neural Network
02:59:26 Transformers Explained Using Generative AI
03:07:05 Transformers Neural Networks Explained
03:14:29 What are Large Language Models?
03:35:28 What is Multimodal AI?
03:52:46 LLM vs SLM
03:58:14 What is LangChain?
04:15:29 Langchain Agents Explained
04:22:44 What is RAG?
04:45:32 LLMOps: The Future of AI Development
04:51:55 Prompt Engineering
05:06:09 Natural Language Processing (NLP) & Text Mining using NLTK
05:44:52 KNN Algorithm using Python
06:03:11 Alibabaโs Qwen 2.5-Max Just Beat GPT-4 & DeepSeek?
06:07:35 DeepSeek Training Cost: How China Built AI for Less
06:13:04 DeepSeek vs OpenAI: Who Wins the AI Race?
06:25:36 Deep Learning Interview Questions
โ
Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV
๐Feel free to share your comments below.๐
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๐ต PMP Online Training: http://bit.ly/3XugO44
๐ Salesforce Online Training: http://bit.ly/3OsAXDH
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๐ต Post Graduate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT
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- - - - - - - - - - - - - -
What is Agentic AI?
Agentic AI refers to artificial intelligence systems that can autonomously make decisions, take actions, and pursue goals with minimal human intervention. Unlike traditional AI, which adheres to predetermined rules, agentic AI may dynamically adapt to new situations. It is widely utilized in robotics, virtual assistants, self-driving cars, and sophisticated decision-making processes.
What are the prerequisites for this Agentic AI Training Course?
In order to complete this course successfully, participants need to have a basic understanding of the Python programming language, machine learning, deep learning, natural language processing, generative AI, and prompt engineering concepts.
For more information, please write back to us at sales@edureka.in or call us at IND: 9606058406 / US: +18885487823(toll-free).
#agenticai #aiagents #agenticaicourse #generativeai
Not only have I built hundreds of AI agents myself, I've seen other people build thousands of AI agents for every use case under the sun. The people who are the most successful are the ones who don't overcomplicate it - and I want that to be you too.
It's easy to think building AI agents is super complicated, but honestly you can learn 90% of what you need to know (and what to focus on) from this video. No matter how you're building your agents, I'll show you here what you need to think about, and more importantly what you shouldn't worry about when you're first creating your agent.
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Platforms mentioned in this video (most are open source!):
- Synk for automated AI-native app security:
https://snyk.plug.dev/xgmYQhO
- Guardrails AI for agent guardrails:
https://github.com/guardrails-ai/guardrails
- Pydantic AI for the AI Agent framework:
https://ai.pydantic.dev/
- Mem0 for long term memory:
https://mem0.ai
- Langfuse for agent observability:
https://langfuse.com/
- Docker for deployment:
https://www.docker.com/
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
- If you want to master AI coding assistants and learn how to build systems for reliable and repeatable results, check out the new Agentic Coding Course in Dynamous:
https://dynamous.ai/agentic-coding-course
- Here is the repo for the super simple AI Agent we built in this video:
https://github.com/coleam00/ot....tomator-agents/tree/
- Here is the system prompt template I covered:
https://docs.google.com/docume....nt/d/1-OB4ZMg20pIRVm
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Thanks to Snyk for working with me on the security portion of this video! It's been a pleasure and I really do believe Snyk is on the forefront of software/agent/AI coding security especially with their new MCP server:
https://docs.snyk.io/integrati....ons/snyk-studio-agen
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
00:00 - Master the First 90% of Building AI Agents
01:38 - The 4 Core Components of AI Agents
03:06 - The First 3 Steps of Building an Agent
04:09 - Building a Basic AI Agent Together Live
09:17 - Choosing Your LLM
10:34 - Crafting Your System Prompt
12:20 - Creating Your Tools (Agent Capabilities)
14:26 - AI Agent Security
15:32 - Guardrails AI
16:45 - Snyk MCP Server
19:45 - Managing Agent Context (Memory)
22:05 - Mem0 for Long Term Agent Memory
23:53 - Agent Observability (with Langfuse)
26:28 - Agent Deployment (with Docker)
28:41 - Final Thoughts
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Join me as I push the limits of what is possible with AI. I'll be uploading videos weekly - at least every Wednesday at 7:00 PM CDT!
#shorts #hiphop #DJ #music #dancemusic #challange #artist #artistlive #live #liveartist #songs #song #djing #djlive #singer #love #hiphop #rap #art #musician #artist #musica #singer #rock #dance #guitar #song #newmusic #producer #happy #rapper #viral #Tiktok #trending
Viral songs latest ~ Top Songs Spotify 2024 ~ Best songs 2024 updated weekly (Playlist Hits)
Viral songs latest ~ Top Songs Spotify 2024 ~ Best songs 2024 updated weekly (Playlist Hits)
โฌโฌโฌโฌโฌโฌโฌโฌโฌโฌโฌโฌโฌโฌโฌโฌโฌโฌโฌโฌโฌโฌ
โซ Spotify: https://open.spotify.com/artis....t/3sNspb6ittvtMsc8cm
โซ Apple Music: https://music.apple.com/us/art....ist/helions/16957430
โฌโฌโฌโฌโฌโฌโฌโฌโฌโฌโฌโฌโฌโฌโฌโฌโฌโฌโฌโฌโฌโฌ
Tracklist:
00:00:00 1. Bad Habits - Ed Sheeran - Helions Cover
00:04:02 2. Handclap - Fitz and the Tantrums - Helions Cover
00:07:04 3. Rather Be - Clean Bandit ft Jess Glynne - Helions Cover
00:11:12 4. Bad Child - Tones and I - Helions Cover
00:14:55 5. Stereo Hearts - Gym Class Heroes ft. Adam Levine - Helions Cover
00:18:35 6. What Is Love - Haddaway - Helions Cover
00:21:43 7. Whistle - Flo Rida - Helions Cover
00:25:41 8. I Just Wanna Run - The Downtown Fiction - Helions Cover
00:27:56 9. IDGAF - Dua Lipa - Helions Cover
00:31:49 10. Cheating On You - Charlie Puth - Helions Cover
00:34:55 11. Attention - Charlie Puth - Helions Cover
00:38:24 12. Dance Monkey - Tones and I - Helions Cover
00:41:58 13. Doll House - Melanie Martinez - Helions Cover
00:45:03 14. Gun For Hands - Twenty One Pilots - Helions Cover
00:48:03 15. Prayer In C - Lilly Wood, The Prick and Robin Schulz - Helions Cover
00:51:32 16. Safari - Serena - Helions Cover
00:54:43 17. The Motto - Tiรซsto, Ava Max - Helions Cover
00:56:32 18. Titanium - Sia, David Guetta - Helions Cover
01:00:38 19. Bubblegum Bitch - Marina and the Diamonds - Helions Cover
01:03:33 20. Billionaire - Travie McCoy ft. Bruno Mars - Helions Cover
01:07:01 21. Infinity - Jaymes Young - Helions Cover
01:10:50 22. Not Your Barbie Girl - Ava Max - Helions Cover
---
ยฉ All recording copyrights are owned by HongAn Entertainment
Want to start freelancing? Let me help: https://go.datalumina.com/AnPJSFV
Want to learn real AI Engineering? Go here: https://go.datalumina.com/nxqQtsA
New to Python? Watch my FREE Python for AI Course:
https://youtu.be/ygXn5nV5qFc
๐ผ Need help with a project?
Work with me: https://go.datalumina.com/TMGbUvO
๐ GitHub Repository
https://github.com/daveebbelaa....r/ai-cookbook/tree/m
๐ Other links
https://www.anthropic.com/rese....arch/building-effect
https://platform.openai.com/do....cs/api-reference/int
๐ ๏ธ My VS Code / Cursor Setup
https://youtu.be/mpk4Q5feWaw
โฑ๏ธ Timestamps
0:00 Introduction
2:45 Basic API Call
5:10 Structured Output
8:00 Using Tools
18:31 Memory and Retrieval
24:35 Building an AI Calendar Agent
34:59 Prompt Chaining
37:56 Routing Requests
41:57 Parallelization
46:18 Deploying Your AI Application
๐ Description
In this tutorial, weโll cover everything you need to start building AI agents in pure Python. Weโll start with the essential building blocks and then dive into workflow patterns for more reliable systems. To follow along, basic Python skills are recommended, along with familiarity with the OpenAI SDK and an API key. I highly recommend cloning the GitHub repository so you can work through the code step by step. Watch me go through it first, then try it yourself to reinforce your understanding. I move quickly to cover a lot in 45 minutes, but you can always pause, rewind, or ask ChatGPT for help.
๐๐ป About Me
Hi! I'm Dave, AI Engineer and founder of Dataluminaยฎ. On this channel, I share practical tutorials that teach developers how to build production-ready AI systems that actually work in the real world. Beyond these tutorials, I also help people start successful freelancing careers. Check out the links above to learn more!
Announcement: New Book by Luis Serrano! Grokking Machine Learning. bit.ly/grokkingML
40% discount code: serranoyt
A friendly introduction to Bayes Theorem and Hidden Markov Models, with simple examples. No background knowledge needed, except basic probability.
Accompanying notebook:
https://github.com/luisguiserrano/hmm
Leverage AI agents with the FREE Master AI Agents Playbook: https://clickhubspot.com/7002aa
Want to get ahead in your career using AI? Join the waitlist for my AI Agent Bootcamp: https://www.lonelyoctopus.com/ai-agent-bootcamp
๐ค Business Inquiries: https://tally.so/r/mRDV99
๐ฑ๏ธLinks mentioned in video
========================
OpenAI components: https://platform.openai.com/docs/guides/agents
Anthropic's building AI agents article: https://www.anthropic.com/engi....neering/building-eff
financial agent: https://github.com/hellotinah/financial_agent
Y Combinator YT channel: https://www.youtube.com/@ycombinator
๐Affiliates
========================
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
๐ฅ My filming setup
========================
๐ท camera: https://amzn.to/3LHbi7N
๐ค mic: https://amzn.to/3LqoFJb
๐ญ tripod: https://amzn.to/3DkjGHe
๐ก lights: https://amzn.to/3LmOhqk
โฐTimestamps
========================
00:00 โ Intro
00:41 โ Video structure
01:36 โ AI agent definition & use cases
04:23 โ AI agent components
13:28 โ Quiz 1
14:25 โ AI agent workflows & implementation
23:17 โ Prompt engineering for AI agents
26:58 โ Quiz 2
27:21 โ Demo 1: Customer Support AI Agent using n8n
29:19 โ Demo 2: News Aggregator AI Agent using n8n
31:06 โ Demo 3: Daily Expenses Tracker AI Agent using n8n
32:54 โ Demo 4: Financial Research AI Agent using OpenAI Agents SDK
38:10 โ AI agents bootcamp
38:33 โ How to decide what AI agent to build
๐ฒSocials
========================
instagram: https://www.instagram.com/hellotinah/
linkedin: https://www.linkedin.com/in/tinaw-h/
discord: https://discord.gg/5mMAtprshX
๐ฅOther 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
๐โโฌ๐โโฌAbout me
========================
Hi, my name is Tina and I'm an ex-Meta data scientist turned internet person!
๐งContact
========================
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: hellotinah@gmail.com
========================
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! :)
Anthropicโs 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
Full courses + unlimited support: https://www.skool.com/ai-autom....ation-society-plus/a
All my FREE resources: https://www.skool.com/ai-automation-society/about
Work with me: https://uppitai.com/
My Tools๐ป
14 day FREE n8n trial: https://n8n.partnerlinks.io/22crlu8afq5r
Code NATEHERK to Self-Host n8n for 10% off (annual plan): http://hostinger.com/nateherk
Voice to text: https://ref.wisprflow.ai/nateherk
In this video, I break down building an AI Agent so simply even a 10-year-old could do it! Iโll walk you through what an AI agent is and how to build a basic email agent in n8n that can automatically send emails for you.
No coding experience? No problem! Iโll guide you step-by-step, showing just how quick and easy you can get this set up. By the end of this video, youโll have your very own email-sending AI agent up and running in no time.
Sponsorship Inquiries:
๐ง sponsorships@nateherk.com
WATCH NEXT:
https://youtu.be/u2Tuu02r7QI
TIMESTAMPS
00:00 Components of an AI Agent
03:50 Step 1: Chat Input
04:18 Step 2: Adding the Brain
05:49 Step 3: Adding Memory
07:45 Step 4: Adding Send Email Tool
10:21 Step 5: Adding Instructions (System Message)
12:04 Testing the Email Agent
13:43 Reviewing the Agent Log
15:00 Step 6: Adding Contact Database Tool
16:57 Final Test
18:05 Final Thoughts
Gear I Used:
Camera: Razer Kiyo Pro
Microphone: HyperX SoloCast
Background Music: https://www.youtube.com/watch?v=Q7HjxOAU5Kc&t=0s
#2000smusic #2000snostalgia #2000sthrowbacks
Listen on Spotify: https://sptlnk.com/2000s_nostalgia
Help me to get 100.000 subs: https://www.youtube.com/channe....l/UCBepjMYiqtq_u4ZFO
nostalgia playlist: https://www.youtube.com/watch?v=Vpb8sDpttOY&list=PLBKqHs5LAsicE2Zeup5GBua1nBY_KIUXs
Throwback Vibes Playlist: https://www.youtube.com/watch?v=fpdgYC9NY5o&list=PLBKqHs5LAsieDqvbRaNrUyOpam0dhAdzv
Check out the latest (and most visual) video on this topic! The Celestial Mechanics of Attention Mechanisms: https://www.youtube.com/watch?v=RFdb2rKAqFw
This is the last of a series of 3 videos where we demystify Transformer models and explain them with visuals and friendly examples.
Video 1: The attention mechanism in high level https://www.youtube.com/watch?v=OxCpWwDCDFQ
Video 2: The attention mechanism with math https://www.youtube.com/watch?v=UPtG_38Oq8o
Video 3 (This one): Transformer models
If you like this material, check out LLM University from Cohere!
https://llm.university
Get the Grokking Machine Learning book!
https://manning.com/books/grok....king-machine-learnin
Discount code (40%): serranoyt
(Use the discount code on checkout)
00:00 Introduction
01:50 What is a transformer?
04:35 Generating one word at a time
08:59 Sentiment Analysis
13:05 Neural Networks
18:18 Tokenization
19:12 Embeddings
25:06 Positional encoding
27:54 Attention
32:29 Softmax
35:48 Architecture of a Transformer
39:00 Fine-tuning
42:20 Conclusion