🔥Edureka Machine Learning Engineer Masters Program: https://www.edureka.co/masters....-program/machine-lea
This Edureka session on "Machine Learning Engineer Career Path 2021" is part of the Machine Learning Tutorial which covers all the basic aspects of becoming a certified Machine Learning Engineer. It establishes concepts like roles, responsibilities, skills, salaries, and even trends to get you up to speed with Machine learning. The path to becoming a machine learning engineer is further covered through the following topics of this machine learning tutorial:
00:00 Introduction to Machine Learning Tutorial
06:20 Who is Machine Learning Engineer
08:03 What does an ML Engineer Do?
13:11 ML Engineer Roles, Responsibilities and Skills
17:02 Career in Machine Learning

Machine Learning Tutorial Playlist: http://bit.ly/2taym8X
Machine Learning Tutorial Blog Series: http://bit.ly/38zIs74

#Edureka #MachineLearningEdureka #machinelearningengineer #mlengineer #mltutorial #machinelearningtutorial #machinelearning

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----------------------------------------------
Edureka's Machine Learning Master's Program

🟠 Python Programming Certification Course: https://www.edureka.co/python-....programming-certific
🔵Machine Learning Certification Training using Python: https://www.edureka.co/machine....-learning-certificat
🟠Graphical Models Certification Training: https://www.edureka.co/graphical-modelling-course
🔵Reinforcement Learning: https://www.edureka.co/reinfor....cement-learning-cour
🟠Natural Language Processing with Python Certification: https://www.edureka.co/python-....natural-language-pro
🔵Deep Learning with TensorFlow 2.0 Certification Training: https://www.edureka.co/ai-deep....-learning-with-tenso
🟠Python Spark Certification Training using PySpark: https://www.edureka.co/pyspark....-certification-train

🟠 Elective Course 🟠
Python Scripting Certification Training: https://www.edureka.co/python-scripting

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

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--------------------------------------------
About the Machine Learning Master's Program

Machine Learning Engineer Masters Program has been curated after thorough research and recommendations from industry experts. It will help you master concepts of Neural Networks in depth along with other concepts like Python Programming, Artificial Intelligence, Machine learning, Deep Learning, NLP, Graphical Modelling and Reinforcement Learning along with hands-on experience of tools and systems used by the Industry experts. Edureka will be by your side throughout the learning journey - We’re Ridiculously Committed.


--------------------------------------
Why learn Machine Learning with Python?

Edureka's Machine Learning Masters Program imparts you the necessary skills like data pre-processing, dimensional reduction, model evaluation and also exposes you to different machine learning algorithms like regression, clustering, decision trees, random forest, Naive Bayes and Q-Learning.
--------------------------------------
What will you learn in Python Machine Learning Training?

Topics covered but not limited to will be: Python Programming, PySpark, HDFS, Spark SQL, Machine Learning Techniques and Artificial Intelligence Types, Tokenisation, Named Entity Recognition, Lemmatisation, Supervised Algorithms, Unsupervised Algorithms, Tensor Flow, Deep learning, Keras, Neural Networks, Bayesian and Markov’s Models, Inference, Decision Making, Bandit Algorithms, Bellman Equation, Policy Gradient Methods.

--------------------------------------
Who should go for this Machine Learning Certification Training using Python?

Edureka’s Python Machine Learning Certification Course is a good fit for the below professionals:
Developers aspiring to be a ‘Machine Learning Engineer'
Analytics Managers who are leading a team of analysts
Business Analysts who want to understand Machine Learning (ML) Techniques
Information Architects who want to gain expertise in Predictive Analytics
'Python' professionals who want to design automatic predictive models
--------------------------------------

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

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In this Automate WhatsApp With ChatGPT Tutorial, we will ask ChatGPT to provide code to send messages to our contacts. This ChatGPT on WhatsApp tutorial, will start with executing the code provided by ChatGPT using pywhatkit library. Using pywhatkit library, we can schedule the delivery of messages to particular chats.

Here we start with:
00:00 Introduction to Automate WhatsApp With ChatGPT
00:36 Quiz Question
01:17 Create folder for Python Project
02:22 Ask ChatGPT to write code
04:09 Install and Import libraries
05:41 Edit the code given by ChatGPT
14:06 Sending the automate message

✅PyWhatKit is a Python library with various helpful features. It's easy-to-use and does not require you to do any additional setup. Currently, it is one of the most popular library for WhatsApp and YouTube automation. New updates are released frequently with new features and bug fixes.

✅PyWhatKit is available on PyPi: To install use the command pip3 install pywhatkit

✅Features of PyWhatKit
Sending Message to a WhatsApp Group or Contact
Sending Image to a WhatsApp Group or Contact
Converting an Image to ASCII Art
Converting a String to Handwriting
Playing YouTube Videos
Sending Mails with HTML Code
Install and Use

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➡️ 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.

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- Gain access to 4 live online sessions on latest AI trends such as ChatGPT, generative AI, explainable AI, and more
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🔥 Introduction to Generative AI: https://www.edureka.co/introduction-generative-ai
🔥 Prompt Engineering Course: https://www.edureka.co/prompt-....engineering-generati
🔥 ChatGPT Training Course: https://www.edureka.co/openai-....chatgpt-training-cou

In this video, we dive into *The Future of Generative AI* and the exciting *Job opportunities* it presents. We cover everything from what Generative AI is, its growing importance, and the key skills required to succeed in this field to how you can get started and the career paths emerging within the industry. We also discuss the question on many minds: Is Generative AI eating our jobs? Whether you're new to the field or looking to explore new career opportunities, this video will provide valuable insights into how Generative AI is shaping the job market and your future.

✅ 00:00 - The Future of Generative AI and Job Opportunities
✅ 01:16 - What is Generative AI?
✅ 02:26 - Importance of Generative AI
✅ 04:40 - Skills Required in Generative AI
✅ 06:07 - Getting Started in Generative AI
✅ 08:35 - Job Opportunities in Generative AI
✅ 09:44 - Is Generative AI Eating Our Jobs?

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What is Generative AI?

Generative AI is a branch of artificial intelligence that focuses on producing or creating fresh content, such as images, text, audio, or even videos, that closely resembles data generated by humans. In contrast to conventional AI models that learn to identify patterns or make decisions based on existing data (discriminative models), generative AI models are trained to produce new data that mirrors the original training data.

What is Prompt Engineering?‎

Prompt engineering involves optimizing artificial intelligence engineering for multiple purposes. It includes refining large language models (LLMs) using specific prompts and recommended outputs. Additionally, it focuses on enhancing input to different generative AI services to make text or images.

What kinds of jobs can you get with Prompt Engineering skills?‎

Here are some potential job roles:
• Machine Learning Engineer
• Data Scientist
• Natural Language Processing (NLP) Engineer
• AI Research Scientist
• Software Engineer (AI/ML)
• Data Engineer
• Conversational AI Developer
• AI Product Manager
• AI Ethicist

For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US & Others: +18885487823 (toll-free)

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#generativeaiexamples

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This Introduction to Artificial Intelligence Full Course by Simplilearn provides a complete roadmap to mastering AI. It begins with an introduction to artificial intelligence, its future, and essential concepts like machine learning, deep learning, and generative AI. You’ll explore AI careers, the AI engineer roadmap, and how to land a job in this field. Dive into practical tutorials on using AI for coding, creating digital products, and building websites. Advanced topics include transformers, reinforcement learning, Q-learning, and LangChain. You’ll learn about AI bias, multimodal AI, and concepts like LLMs, benchmarking, and running models privately. The course also covers prompt engineering, data analytics with AI, and AI-powered tools like Cursor AI. Additionally, you’ll get hands-on with projects for beginners, including machine learning and AI, and explore top hackathons in India. Finally, you’ll gain insights into interview preparation and how to earn money using tools like ChatGPT.

00:00:00 Introduction To Artificial Intelligence Full Course
00:08:08 Introduction To Artificial Intelligence
00:17:14 Future Of Artificial Intelligence
00:24:13 Deep Learning Tutorial For Beginners
00:36:17 Best Artificial Intelligence Coding tools
00:45:55 Top 10 Technologies To Learn
00:52:37 Artificial Intelligence Careers Tutorial
01:04:31 How Create And Sell Digital Products Using AI
01:05:16 What Is Generative AI
01:15:48 Artificial Intelligence Engineer Roadmap
01:30:53 How To Get A Job In Artificial Intelligence
02:27:30 What Is Machine Learning
02:33:11 AI Bias
02:38:53 Open AI Strawberry
02:45:04 Difference between Artificial Intelligence, Machine Learning, And Deep Learning
02:46:11 Run Lama Privately
02:54:55 Introduction To LLM
03:08:24 LLM Benchmarkeing
03:14:01 Mutimodel Artificial Intelligence
03:33:52 Chatgpt Analyse Tutorial
03:34:53 Transformers In Artificial Intelligence
06:59:07 Reinforcement Learning
06:59:57 Q Learning
07:22:58 Langchain Explained
07:37:26 What Is Prompt Engineering
07:59:49 Data Analytics Using Artificial Intelligence
08:01:31 Cursor AI
10:17:41 Recurrent Neural Network
10:35:26 Machine Learning Projects For Beginners
11:01:07 Build Website With Artificial Intelligence
11:19:18 Confusion Matrix In Machine Learning
11:27:32 Top Hackathons In india
11:40:51 Artificial Intelligence Projects With Source Code For Beginers
11:46:00 Generative AI Tools For Job Interview
13:41:50 Artificial Intelligence and Deep learning Interview Questions
13:42:50 How To Earn Money Using ChatGPT

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➡️ About Post Graduate Program In AI And Machine Learning

✅ 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 Job Assist helps you get noticed by top hiring companies

👉Learn more at- https://www.simplilearn.com/iitk-professional-certificate-course-ai-machine-learning?utm_campaign=6WmtIaIX-bQ&utm_medium=Lives&utm_source=Youtube

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Benson Boone - Beautiful Things (Official Music Video)

Listen to 'Fireworks & Rollerblades' the debut album from Benson Boone now at: https://BensonBoone.lnk.to/FireworksRollerblades
Listen to the song now at: https://BensonBoone.lnk.to/BeautifulThings

🔔 Subscribe to Benson's Channel: https://bit.ly/3RV5Na8

Follow Benson Boone:
http://www.BensonBoone.com
https://www.Tiktok.com/@bensonboone
http://www.Instagram.com/BensonBoone
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http://www.Facebook.com/BensonBoone

Credits:
Music Video Directed by: Matt Eastin
Written by Benson Boone, Jackson Lafrantz Larsen, and Evan Blair
Produced by Evan Blair
Engineered by Evan Blair
Mixed by Alex Ghenea
Mastered by Randy Merrill

Lyrics:
For a while there it was rough
But lately I’ve been doing better
Than the last four cold Decembers
I recall
And I see my family every month
I found a girl my parents love
She’ll come and stay the night
I think I might have it all
And I thank god everyday
For the girl he sent my way
But I know the things he gives me
He can take away
And I hold you every night
That’s a feeling I wanna get used to
But there’s no man as terrified
As the man who stands to lose you
Oh I hope I don’t lose you
Mmm
Please
Stay
I want you I need you oh God
Don’t
Take
These beautiful things that I’ve got
Please stay
I want you I need you oh God
Don’t take
These beautiful things that I’ve got
Please don’t take,
I found my mind I’m feeling sane
It’s been a while but I’m finding my faith
If everything’s good and it’s great why do I sit and wait till it’s gone
Oh I’ll tell ya I know I’ve got enough
I got peace,
And I got love,
But I’m up at night thinking I just might lose it all
Please stay
I want you I need you oh God
Don’t take
These beautiful things that I’ve got
Please stay
I want you I need you oh god
I need
These beautiful things that I’ve got

#BensonBoone #BeautifulThings #NewMusic #Pop

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This Tableau Full Course Video by simplilearn is curated to help you learn the basics of tableau. This Simplilearn Tableau Full Course is designed to help you master the basics of Tableau and business analysis. The course starts with an introduction to Big Data and Business Analytics, followed by a guide to Power BI and creating dashboards in minutes. You'll explore key BI terms, Business Intelligence, and Business Analytics. Next, the course covers tools like Microsoft Power Query for data transformation. You'll also compare the roles of Data Analyst vs. Business Analyst, with tips on interview questions. Additionally, it includes boosting your skills with ChatGPT and Excel for data analytics. Finally, you'll dive into SQL for Business Analysis, complete practical SQL projects, and prepare for Business Analytics interview questions.

The course covers the following topics:

00:00:00 Introduction to Business Analysis
00:04:02 What is Big Data
01:11:17 introduction to Business analytics
01:17:12 Introduction to Power BI
01:18:01 Top BI Terms every data analyst know
01:37:53 Create PowerBI Dashboard in minutes
01:46:41 Business Intelligence
07:06:24 Business Analytics
07:27:48 How to use microsoft power query
08:11:28 Data Analyst Vs Business Analyst
08:27:05 Chatgpt and Excel with Data Analytics
08:43:26 Data Transformation
08:46:43 SQL For Business Analysis
09:50:02 SQL Project Business Analysis
10:06:40 Business Analytics Interview Questions

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

⏩ Check out the Data Analytics training videos: https://youtube.com/playlist?l....ist=PLEiEAq2VkUUKnB4

#tableau #tableaucourse #tableaututorial #simplilearn #2024

➡️ About Post Graduate Program In Data Analytics

This Data Analytics Program is ideal for all working professionals and prior programming knowledge is not required. It covers topics like data analysis, data visualization, regression techniques, and supervised learning in-depth via our applied learning model with live sessions by leading practitioners and industry projects.

Key Features
✅ Post Graduate Program certificate and Alumni Association membership
✅ Exclusive hackathons and Ask me Anything sessions by IBM
✅ 8X higher live interaction in live online classes by industry experts
✅ Capstone from 3 domains and 14+ Data Analytics Projects with Industry datasets from Google PlayStore, Lyft, World Bank etc.
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✅ Resume preparation and LinkedIn profile building
✅ 1:1 mock interview
✅ Career accelerator webinars

Skills Covered
✅ Data Analytics
✅ Statistical Analysis using Excel
✅ Data Analysis Python and R
✅ Data Visualization Tableau and Power BI
✅ Linear and logistic regression modules
✅ Clustering using kmeans
✅ Supervised Learning

👉 Learn More At: https://www.simplilearn.com/post-graduate-program-data-science?utm_campaign=bSsyJliZe50&utm_medium=Lives&utm_source=youtube

🔥Enroll for Intellipaat's Generative AI And Prompt Engineering Course: https://intellipaat.com/genera....tive-ai-prompt-engin

#GenerativeAICourse #GenerativeAICourseFree #LearnGenAIin10Hours #generativeaifullcourse #GenAIFullCourse #GenAITutorialForBeginners #Intellipaat

Welcome to Intellipaat's Generative AI Course 2025! This comprehensive Gen AI course is designed to help you kick start 2025 by Mastering Generative AI in 11 Hours. This Generative AI course for beginners will take you through the exciting world of generative AI, providing a deep dive into the fundamentals and advanced concepts. In just 11 hours, you'll learn everything from basic principles to hands-on projects, helping you understand how to create your own generative AI models.

Whether you're a developer looking to enhance your skills or a beginner curious about AI, this Generative AI tutorial for beginners is tailored to meet your needs. Our step-by-step guidance ensures you grasp the essential concepts, making it one of the best Gen AI full courses available online.

By the end of this Generative AI course, you'll be equipped with the knowledge to explore new career opportunities in AI, machine learning, and data science. So, gear up to transform your learning experience with our Generative AI for Beginners module.

📖 Below are the concepts covered in the video on 'Generative AI Full Course For Absolute Beginners':
00:00:00 - Introduction to Generative AI Course
00:04:05 - Embedding, Deep Learning - Their Journey
00:55:13 - RNN
01:17:04 - LSTM
01:51:19 - LSTM Hands-on
02:39:13 - How to Build Complex LSTM
03:10:12 - Stock Market Predictions
04:03:11 - Introduction to Transformers
04:06:33 - What is Decoder & Encoder Architecture
04:26:42 - What is Seq2Seq Models
04:54:08 - What is Context Vector
05:01:30 - What is Dependency Parsing
05:11:06 - What is Tokenization
05:16:56 - How to Implement Document Classification in NLP
05:21:25 - What is Bigram
05:30:00 - How to Identify the Similarities Between Two Vectors
05:38:48 - Embedding
06:23:47 - What is self-attention?
06:46:55 - Multi-Head Attention
06:53:06 - Position Encoding
07:50:01 - What is BERT
09:01:32 - Hands-on BERT
09:47:50 - Model Optimization

🌟 Frequently Asked Questions 🌟
1. What is Generative AI?
Generative AI refers to algorithms that can generate new content, such as images, text, or audio, by learning patterns from existing data. It's widely used in creative fields, natural language processing, and more.

2. Is this Generative AI course suitable for beginners?
Absolutely! This Generative AI tutorial for beginners is crafted to ensure that even those with no prior experience can follow along and build foundational knowledge.

3. How long will it take to complete this Gen AI course?
This Gen AI full course is designed to be completed in 11 hours, giving you a well-rounded understanding of generative AI.

4. What programming languages are covered in this Generative AI course?
Our Gen AI course primarily focuses on Python, as it is the most popular language for AI development. We also touch on various libraries and frameworks used in generative AI.


➡️ About the Course
Have you ever wondered how ChatGPT is trained to mimic human intelligence? Imagine you being able to do that. Our Generative AI and Prompt Engineering course is what you need. This Generative AI and Prompt Engineering course helps you master the language of AI and lets you design thoughtful prompts. You will be able to mitigate biases and deploy techniques for interaction with AI systems. Upon completion of this Generative AI and Prompt Engineering course you will create better prompts that help Gen AI models deliver better and more accurate results.

✅ Key Features - (Course Features)
👉🏼 35+ live sessions across 5 months
👉🏼 100+ hrs of top self-paced videos
👉🏼 50+ hrs project work and exercises
👉🏼 Top industry experts
👉🏼 1:1 session with industry mentors
👉🏼 Resume building & LinkedIn profile
👉🏼 24/7 support for query resolution
👉🏼 No-cost EMI option available now

Who Should Enrol for This Course?
All those looking to build an exciting career in the domain of Generative AI should enrol for this AI Prompt Engineer course. Even freshers looking to start their careers in the Gen AI domain are good to go. Experienced professionals like digital marketers, product managers, software developers, Data Scientists, Business Analysts can also enrol for our Prompt Engineering training. Professionals already working in the Artificial Intelligence domain can upskill with our AI Prompt Engineering training course.

📌 Do subscribe to Intellipaat channel & come across more relevant Tech content: https://goo.gl/hhsGWb

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📚For more information, please write back to us at [email protected] or call us at IND: +91-7022374614 / US : 1-800-216-8930

Dr. Raj Dandekar (MIT PhD) conducted a 7-hour small language model workshop. This is part 3 of that workshop.

In this, we cover the following four aspects:

1. 00:00 Recap of the SLM architecture
2. 18:30 Calculating the SLM Loss
3. 58:27 SLM Pre-training loop: Theory + Coding
4. 01:23:00 SLM Inference

If you want to get access to the detailed lecture notes, register here: https://vizuara.ai/courses/bui....ld-slm-from-scratch-

👍 If you've enjoyed the video, then subscribe to our channel for more! 👇
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Learn how to build AI agents from scratch in this beginner-friendly tutorial!

Jan breaks down the complex world of AI agents into simple, understandable components and shows you how to create a fun "Santa's Helper" agent that researches toys and sends wish lists - all without writing a single line of code.

What you'll learn:
▶︎ Understanding AI agent components and architecture
▶︎ Setting up large language models (LLMs)
▶︎ Implementing agent memory systems
▶︎ Writing effective agent system prompts
▶︎ Connecting research and web search tools
▶︎ Automating email communications
▶︎ Testing and debugging agents
▶︎ Real-world business applications

⏰ TIMESTAMPS
00:00 What are AI agents and how do they work
00:30 AI agent components and architecture explained
02:31 Understanding agent tools and capabilities
05:19 Building your first agent in n8n
06:30 Connecting language models to your agent
07:37 Why memory is crucial for AI agents
09:35 Creating effective system prompts for agents
12:08 Adding web search capabilities to agents
14:38 Setting up email automation tools
15:26 Testing and debugging your AI agent
18:22 Business use cases and advanced applications

📚 RESOURCES MENTIONED
https://www.youtube.com/watch?v=SzPE_AE0eEo
https://www.youtube.com/watch?v=6BRyynZkvf0
https://www.youtube.com/watch?v=vgncj7MJbVU
https://www.youtube.com/watch?v=0GX7xEeRPIo

👨‍🏫 OUR COURSES
🆓 AI Starter Course: https://go9x.me/ceosy5
🧠 AI Operator Course: https://go9x.me/dh1te0
🤖 AI Builder Course: https://go9x.me/g7dv14

🤝 CONNECT WITH 9x
🌐 9x Website: https://go9x.me/q2smyf
💻 9x LinkedIn - https://www.linkedin.com/company/go9x/
💭 Jan - https://www.linkedin.com/in/jan-meinecke/
💭 Alex: https://www.linkedin.com/in/akantjas/
💭 PYV: https://www.linkedin.com/in/thisispyv/
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#AIAgents #n8n #NoCode #Automation #AITutorial #Gemini #Perplexity #DigitalWorkers

Improve your AI skills with the FREE Prompting QuickStart Guide I made in collaboration with Hubspot: https://clickhubspot.com/1gg9

Want to get ahead in your career using AI? Join the waitlist for my AI Agent Bootcamp: https://www.lonelyoctopus.com/ai-agent-bootcamp

🤝 Business Inquiries: https://tally.so/r/mRDV99

🖱️Links mentioned in video
========================

A few notebooks to try out from crewAI & Autogen that are easy to follow and get started. All credit goes to these companies and Deep Learning AI. Please make a copy:

https://drive.google.com/file/....d/1mtv-gdKV9HMsGvGIq

https://drive.google.com/file/....d/1u9gGPqWSJ4_Pa_cLN

https://drive.google.com/file/....d/1T07WHydxBN-T-kcgi

https://drive.google.com/file/....d/1vPWpYvcHPROMC3BOE

Resources I consulted in making this video:

crewAI course: https://www.deeplearning.ai/sh....ort-courses/multi-ai

Autogen course: https://www.deeplearning.ai/sh....ort-courses/ai-agent

LangGraph course: https://www.deeplearning.ai/sh....ort-courses/ai-agent

David Ondrej n8n tutorial: https://youtu.be/XVO3zsHdvio?si=AQcMnYn8kJOogqLr

Andrew Ng Snowflake agentic design patterns: https://youtu.be/KrRD7r7y7NY?si=tFtd6wJKB6idtfKb

Andrew Ng Sequoia agentic design patterns: https://youtu.be/sal78ACtGTc?si=2i8Wyy57n8m6TbBK

YC business advice: https://youtu.be/ASABxNenD_U?si=k19a310Tj3USuKNe

🐙 Lonely Octopus: https://www.lonelyoctopus.com/
Check it out if you're interested in learning AI & data skill, then applying them to real freelance projects!

🔗Affiliates
========================
My SQL for data science interviews course (10 full interviews):
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365 Data Science:
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Check out StrataScratch for data science interview prep:
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🎥 My filming setup
========================
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🔭 tripod: https://amzn.to/3DkjGHe
💡 lights: https://amzn.to/3LmOhqk

⏰Timestamps
========================
00:00 — Intro
00:38 — Video overview
01:13 — AI agents definition
03:45 — Agentic design patterns
09:24 — Multi-agent design patterns
17:04 — Building a no code agent in n8n
19:46 — Ways to use AI agents
21:05 — Quiz

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linkedin: https://www.linkedin.com/in/tinaw-h/
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🎥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: [email protected]

========================
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! :)

This is my 50 Claude Code tips from 6 months of daily use personally and at Meta as a Staff Software Engineer. I've been coding with Claude Code basically 12 hours a day really trying to understand what makes Claude Code tik. Here's everything I wish I knew when I started, from foundations to advanced parallel workflows.

⏱️ TIMESTAMPS
0:00 - Intro
1:04 - ACT 1: Foundations (Tips 1-25)
1:18 - Tip 1: Run from root directory
1:56 - Tip 2: Run /init immediately
2:54 - Tip 3: CLAUDE.md is hierarchical
3:27 - Tip 4: Keep CLAUDE.md concise
3:58 - Tip 5: Structure: What, Domain, Validation
5:36 - Keyboard Shortcuts
5:58 - Tip 6: Shift+Tab toggles modes
6:40 - Tip 7: Escape interrupts
7:43 - Tip 8: Double Escape clears input
7:59 - Tip 9: Double Escape on empty = rewind
8:29 - Tip 10: Screenshot and drag
8:44 - Tip 11: Add context to screenshots
9:09 - Essential Commands
9:41 - Tip 12: /clear resets context
10:13 - Tip 13: /context shows token usage
11:42 - Tip 14: Let auto-compaction work
12:23 - Tip 15: /model switches models
12:49 - Tip 16: /resume recovers sessions
13:21 - Tip 17: /mcp shows MCP status
14:19 - Tip 18: /help shows all commands
14:33 - Tip 19: Git is your safety net
15:24 - CLAUDE.md Deep Dive
15:52 - Tip 20: Add a Critical Rules section
17:08 - Tip 21: Ask Claude to update rules
17:46 - Tip 22: Use workflow triggers
18:27 - Tip 23: Commit CLAUDE.md to git
19:34 - Tip 24: dangerously-skip for throwaway envs
20:39 - Tip 25: Combine skip with allowlists
20:59 - ACT 2: Daily Workflow (Tips 26-32)
21:38 - Tip 26: Start features in Plan Mode
23:46 - Tip 27: Fresh context beats bloated
24:29 - Tip 28: Persist before ending sessions
25:03 - Tip 29: Lazy load context
26:09 - Tip 30: Give verification commands
27:32 - Tip 31: Consider Opus for complex work
28:18 - Tip 32: Read thinking blocks
29:01 - ACT 3: Power User (Tips 33-40)
29:34 - Tip 33: Four composability primitives
29:54 - Tip 34: Skills = recurring workflows
31:33 - Tip 35: Commands = quick shorthand
32:18 - Tip 36: Never create commands manually
33:02 - Tip 37: MCPs = external service docs
33:52 - Tip 38: Ask Claude to install MCPs
34:15 - Tip 39: Subagents = isolated context
37:10 - Tip 40: Avoid instruction overload
37:48 - ACT 4: Advanced (Tips 41-50)
38:02 - Tip 41: Run multiple instances
39:06 - Tip 42: iTerm split panes
40:33 - Tip 43: Enable notifications
41:10 - Tip 44: Git worktrees for isolation
41:40 - Tip 45: /chrome connects browser
43:17 - Tip 46: Powerful for debugging
43:28 - Hooks & Automation
43:41 - Tip 47: Hooks intercept actions
44:10 - Tip 48: Auto-format with PostToolUse
44:24 - Tip 49: Block dangerous commands
44:43 - Tip 50: Explore the plugin ecosystem
45:32 - Context is King (Outro)

📬 NEWSLETTER
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📺 MORE RELATED VIDEOS

Claude Code Workflows That Will 10x Your Productivity https://youtu.be/yZvDo_n12ns?si=ChHm_yo2d8SONVZ6

Vibe Coding is Making Engineers Worse (Do This Instead)
https://youtu.be/LnNlwEMlb1A?si=wWmoqmxd0K4F0g5L

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#claudecode #aicoding #programming

MIT Introduction to Deep Learning 6.S191: Lecture 1
*New 2025 Edition*
Foundations of Deep Learning
Lecturer: Alexander Amini

For all lectures, slides, and lab materials: http://introtodeeplearning.com/

Subscribe to stay up to date with new deep learning lectures at MIT, or follow us on @MITDeepLearning on Twitter and Instagram to stay fully-connected!!

Welcome to the first video in my Deep Learning With Pytorch playlist!

In this video I'll talk a little bit about what a Neural Network is, and give you a little bit of background history on Pytorch vs. Tensorflow.

Then we'll set up a development environment using Google Colab, and create a first notebook and push it to a Github repository.

#pytorch #codemy #JohnElder

Timecodes

0:00​​ - Introduction
1:12 - Pytorch vs. Tensorflow
2:32 - What is a Neural Network?
4:10 - How Much Math Do You Need?
7:14 - Pytorch Documentation
7:37 - Development Environment Google Colab
9:09 - Use GPU Runtime
10:24 - Check Latest Version of Pytorch
12:04 - Set Up Github Repository
13:36 - Authorize Colab In Github
14:35 - Push Notebook To Github
16:09 - Conclusion