AI Resources

ML: Machine Learning,

DL: Deep Learning,

NLP: Natural Language Processing,

RL: Reinforcement Learning,

CV: Computer Vision,

NN: Neural Networks.

DS: Data Science

SDC: Self-Driving Car

University/ Institutes Courses

Topic	Institute	Name	Year(s)	Youtube Link	Course Website	OK
AI	UC Berkeley	CS188 Intro to AI	2018-2023	2018 and 2023	HomePage and 2018 and 2023	76%
AI	Stanford	CS221 AI: Principles and Techniques	2019-2022	2019 and 2021	2019 and 2021
ML	Stanford	CS229: ML	2018-2022	2018 taught by Andrew NG, and 2022	~
ML	DeepLearning.Ai	ML Specialization	~	link	~
ML	DeepLearning.Ai	ML Ops	~	link	~
ML	Stanford	CS224W: Machine Learning with Graphs	~	link	~
ML	Caltech	Learning From Data	2012	link	link
ML	Cornell	Applied ML	2020	link	link
ML	UC Berkeley	CS294: Deep Unsupervised Learning	2020	link	link
DL	Stanford	CS230: DL	2018	link	~
DL	New York University	DL	2020-2021	with Yann LeCun: 2020, and 2021	~
DL	Fast.AI	Practical DL for coders	~	part 1: DL, and part 2: Stable Diffusion and DL	link
DL	DeepLearning.Ai	DL Specialization	~	1: NN & DL, 2: Improving Deep NN, 3: Structuring ML Projects, 4: Convolutional NN, and 5: Sequence Models	~
DL	Google DeepMind x University College London	DL	2018-2020	2018, and 2020	~
DL	Stanford	CS330: Deep Multi-Task and Meta Learning	2019-2023	2019 and 2023	link
DL	MIT	6.S191 Intro to DL	~	link	~
DL	MIT	6.5940 TinyML and Efficient Deep Learning Computing	2023	link	~
DL	MIT	Deep Learning in Life Sciences 6.874	2020	link	link
DL	UC Berkeley	CS 182: Deep Learning	2021	link	link
NLP	Stanford	CS224N: NLP with DL	2021-2023	2021, and 2023	~
NLP	Stanford	XC224U: NLP Understanding	2021-2023	2021, and 2023	~
NLP	Fast.ai	A Code-First Introduction to NLP	2019	link	link
NLP	UMass	CS685: Advanced NLP	2023	link	~
NLP	University of Texas at Austin	NLP	2023	link	~
NLP	CMU	Advanced NLP	2021-2024	2021, 2022, and 2024	2024
RL	Stanford	CS234: RL	2019	link	~
RL	DeepMind x UCL	RL	2015-2021	2015, 2018, and 2021 (youtube playlist name is wrong)	~
RL	UC Berkeley	CS 285: Deep Reinforcement Learning	2020-2023	2020 and 2023	link
CV	UC Berkeley	CS 198-126: Deep Learning for Visual Data	2022-2024	2022, 2023, 2024	web
CV	Stanford	CS231N: DL for CV	2016-2017	2016, 2017	2017, 2024
CV	Michigan Online	DL for CV	~	link	link
CV	University of Central Florida	CV	2014	link	~
CV	University of Tübingen	CV	2023	link	link
CV	Weizmann Institute of Science	DL for CV: Fundamentals and Applications	2021	2021 and 2023	link
CV	University of Washington	The Ancient Secrets of Computer Vision	2018	youtube	link
Robotics	UC Berkeley	CS287 Advanced Robotics	2019	link	scroll down after opening this link
SDC	University of Tübingen	Self-Driving Cars	2023	link	link
Math	Stanford	CS109 Introduction to Probability for Computer Scientists	2023	link	link
Math	Stanford	EE364A Convex Optimization	2021-2024	2021 covid ,2024	link
Math	University of Tübingen	Math for Deep Learning	2022	link	link
Big Data	Stanford	CS246 Mining Massive Data Sets	2016-2020	yt-2016, yt-2020	mmds, stanford web	~
Other	Stanford	CS25 Transformers United	~	link	~
Other	Stanford	CS236: Deep Generative Models	2023	youtu	web lin

YouTube Channels Playlists

Topic	Playlist Name	Channel Name	Year	Youtube Link	OK
ML	ML	StatQuest with Josh Starmer	2018	link
ML	Linear Regression and Linear Models	StatQuest with Josh Starmer	2017	link
ML	Machine Learning with Python	Sentdex	2016	link
ML	Scikit-learn Machine Learning with Python and SKlearn	Sentdex	2015	link
ML	ML in Python with scikit-learn	Data School	2015	link
ML	Intro to Machine Learning and Statistical Pattern Classification Course	Sebastian Raschka	2021	link	3/95
ML	Intelligence and Learning	The Coding Train	2018	link
ML	ML For Beginners	codebasics	2018	link
DL	Neural networks	3Blue1Brown	2018	link
DL	Neural Networks: Zero to Hero	Andrej Karpathy	2022	link
DL	Intro to Deep Learning and Generative Models Course	Sebastian Raschka	2021	link
DL	Neural Networks/ Deep Learning	StatQuest with Josh Starmer	2022	link
DL	Foundations of Deep RL	Pieter Abbeel	2021	link
DL	Deep Learning Fundamentals - Intro to Neural Networks	deeplizard	2017	link
DL	Deep Learning With Tensorflow 2.0, Keras and Python	codebasics	2020	link
RL	Reinforcement Learning - Developing Intelligent Agents	deeplizard	2018	link
CV	OpenCV with Python for Image and Video Analysis	Sentdex	2016	link
CV	OpenCV Course - Full Tutorial with Python	freeCodeCamp.org	2020	link
CV	Computer Vision in Practice	Roboflow	2023	link
CV	DL for CV (neuralearn.ai)	freeCodeCamp.org	2023	link
CV	OpenCV Python Tutorials	Tech With Tim	2021	link
NLP	NLTK with Python 3 for Natural Language Processing	Sentdex	2016	link
NLP	NLP Transformers Attention	~	~	link
NLP	NLP Tutorial Python	codebasics	2023	link
GAN	Generative Adversarial Networks (GANs)	Ahlad Kumar	2019	link
Python	Python for Beginners	freeCodeCamp.org	2022	link
Python	Python Tutorials	Corey Schafer	2016-2021	link
Python	Intermediate Python Tutorials	Tech With Tim	2018	link
Python	Expert Python Tutorials	Tech With Tim	2020	link
Python	Python Intermediate Tutorial	NeuralNine	2019	link
Python	Python Advanced Tutorials	NeuralNine	2021	link
PyTorch	PyTorch Tutorials	Aladdin Persson	2021	link
PyTorch	PyTorch for Deep Learning & Machine Learning	freeCodeCamp.org	2022	Youtube, Course Materials
PyTorch	PyTorchZeroToAll (in English)	Sung Kim	2017	link
PyTorch	PyTorch - Python Deep Learning Neural Network API	deeplizard	2018	link
TensorFlow	TensorFlow 2.0 Beginner Tutorials	Aladdin Persson	2021	link
TensorFlow	TensorFlow 2.0 Complete Course	freeCodeCamp.org	2020	link
TensorFlow	Building recommendation systems with TensorFlow	TensorFlow	2021	link
TensorFlow	TensorFlow - Python Deep Learning Neural Network API	deeplizard	2020	link
Keras	Keras Python Deep Learning Neural Network API	deeplizard	2017	link
Keras & TensorFlow	Deep Learning Deployment Basics - Neural Network Web Apps	deeplizard	2022	link
Sikit-Learn	scikit-learn tips	Data School	2020	link
Matplotlib	Matplotlib Tutorials	Corey Schafer	2019	link
Matplotlib	Matplotlib Tutorial Series - Graphing in Python	Sentdex	2016	link
Flask	Practical Flask Web Development Tutorials	Sentdex	2016	link
Flask	Flask Tutorials	Corey Schafer	2018	link
Flask	Flask	Krish Naik	2021	link
Flask	Flask Blog Tutorial	Tech With Tim	2021	link
Flask	Flask Tutorials	Tech With Tim	2021	link
Flask	CS50x 2024 - Lecture 9 - Flask	CS50	2024	link
Backend	Learn Python Backend Development by Building 3 Projects	freeCodeCamp.org	2024	link
Pandas	Data analysis in Python with pandas	Data School	2016	link
Pandas	Pandas Tutorials	Corey Schafer	2020	link
Pandas	Pandas Tutorial (Data Analysis In Python)	codebasics	2017	link
NumPy	Deep Learning Prerequisites: The Numpy Stack in Python	Lazy Programmer	2020	link
NumPy	Python NumPy Tutorial for Beginners	freeCodeCamp.org	2019	link
Django	Django Tutorials	Corey Schafer	2019	link
Django	Django Web Development with Python	Sentdex	2019	link
Django	Python Django Tutorials	Tech With Tim	2020	link
Django	Django Tutorial (Create a Blog)	Net Ninja	2017	link
[ Django	Django Tutorials for Beginners	thenewboston	2016	link
Django	Try Django 3.2 - Python Web Development Tutorial Series	CodingEntrepreneurs	2021	link
DB	Complete MongoDB Tutorial	Net Ninja	2022	link
Docker	Docker Crash Course Tutorial	Net Ninja	2022	link
Docker	Docker Tutorials	thenewboston	2021	link
Github	Git & GitHub Tutorial for Beginners	Net Ninja	2022	link
Git	Git Tutorials	Corey Schafer	2016	link
Web Scraping	Python Selenium Tutorials	Tech With Tim	2020	link
Web Scraping	Beautiful Soup 4 Tutorial	Tech With Tim	2021	link
Web Scraping	Python Web Crawler Tutorials	thenewboston	2016	link
Finance	Python Programming for Finance	Sentdex	2018	link
Finance	Python for Finance with Zipline and Quantopian	Sentdex	2016	link
Finance	Customizing Matplotlib Graphs and Charts	Sentdex	2014	link
Finance	Machine Learning for Forex and Stock analysis and algorithmic trading	Sentdex	2014	link
Finance	Python: Mathematics and Stock/Forex/Futures indicators	Sentdex	2014	link
Finance	Big Data Analytics & Algorithmic Stock Trading / Backtesting	Sentdex	2014	link
Finance	Trading - Advanced Order Types with Coinbase	deeplizard	2017	link
Finance	Python For Finance	NeuralNine	2020	link
Finance	Python For Finance	Computer Science	2020-2024	link
Finance	Building cryptocurrency trading bots	Cryptocurrency Trading	2017	link
Finance	Create Binance Bot in Python - Cryptocurrency Trader	Joaquin Roibal	2018	link
Finance	CCXT - Advanced Cryptocurrency Trading Bot Development	Joaquin Roibal	2018	link
Finance	Triangular Arbitrage Cryptocurrency Coding in Python	Joaquin Roibal	2018	link
Finance	Python - Finance - Trading Robot	Sigma Coding	2020	link
Finance	Python - Finance - Machine Learning	Sigma Coding	2019	link
Finance	Python - Finance - All	Sigma Coding	2019	link
Finance	Full Algorithmic Trading Course	TradeOptionsWithMe	2021	link
Finance	Algorithmic Trading With Python	CodeTrading	2021-2024	link
Crypto	Blockchain For Beginners	Tech With Tim	2020	link
Crypto	Ethereum Tutorials	thenewboston	2022	link
Robotics	Robotics and the Raspberry Pi	Sentdex	2015	link
Math	Statistics Fundamentals	StatQuest with Josh Starmer	2017	link
Math	Essence of linear algebra	3Blue1Brown	2016	link
Math	The essence of calculus	3Blue1Brown	2017	link
Math	Differential equations	3Blue1Brown	2021	link
Math	Linear Algebra	Derek Banas	2020	link and link2
Math	Mathematics for ML: Linear Algebra	My CS	2020	link
Data Structures	Data Structures Easy to Advanced Course	freeCodeCamp.org	2019	link
Data Structures	Redis for Beginners	Net Ninja	2023	link
Data Structures	Redis Explained	Redis	2021	link
Linux	Linux/Mac Tutorials	Corey Schafer	2015	link
Linux	Linux for Programmers	Tech With Tim	2021	link
DS	Data Science Full Course For Beginners	codebasics	~	link
DS	Machine Learning & Data Science	Derek Banas	2021	link
DS	Data Science	Computer Science	2018-2023	link
Mobile App	CS50's Mobile App Development with React Native	CS50	2018	link
C++	C++	The Cherno	2017	link
Game	Game Programming: Season 1	The Cherno	2012	link
React	React tutorial for beginners	Bro Code	2024	link
Bio	Biology Lecture Playlist	thenewboston	2014	link
CMD	Windows Command Line Tutorials	thenewboston	2016	link
Algo	Recursion + Backtracking Course	Kunal Kushwaha	2021	link
DevOp	CI/CD Tutorials	TechWorld with Nana	2021	link
DevOp	DevOps Concepts explained	TechWorld with Nana	2022	link
DevOp	Infrastructure as Code (IaC) Tutorials	TechWorld with Nana	2021	link
DevOp	Complete Kubernetes Tutorial for Beginners	TechWorld with Nana	2020	link
DevOp	DevOps Tools	TechWorld with Nana	2021	link
DevOp	Docker and Kubernetes Tutorial for Beginners	TechWorld with Nana	2020	link
DevOp	Docker Tutorial for Beginners	TechWorld with Nana	2020	link

Sentdex website: click here

Channels to Check

1. Jie Jenn: link
2. Professor Leonard: teaching Math link

Tech Companies Courses

Offered by	Course Name(s)	Links	OK
Microsoft	Generative AI for beginners	link, and github repo
Microsoft	ML for beginners	link, and gihub repo
Microsoft	Data Science for beginners	link, and github repo
Microsoft	AI for beginners	link, and github repo
Microsoft	Web Dev for beginners	link, and github repo
Microsoft	IOT for beginners	link, and github repo
Microsoft	Power BI Data Analyst Professional Certificate	coursera
Google	Google Cloud Skills Boost: Machine Learning Engineer Learning Path, Introduction to Generative AI Learning Path, Data Analyst Learning Path, Data Engineer Learning Path, and..	link
Google	Launching into Machine Learning	link
Google	Machine Learning in the Enterprise	link
Google	TensorFlow on Google Cloud	link
Google	Feature Engineering	link
Google	Introduction to AI and Machine Learning on Google Cloud	link
Google	Production Machine Learning Systems	link
Google	ML Pipelines on Google Cloud	link
Google	Machine Learning Operations (MLOps): Getting Started	link
Google	Computer Vision Fundamentals with Google Cloud	link
Google	Recommendation Systems on Google Cloud	link
Google	Introduction to Image Generation	link
Google	Data Analytics Professional Certificate	coursera
Kaggle	Intro to Programming, Python, Intro to ML, Pandas, Intermediate ML, Data Visualization, Feature Engineering, Intro to SQL, Advanced SQL, intro to DL, CV, Time Series, Data Cleaning, Intro to AI Ethics, Geospatial Analysis, ML Explainability, and Intro to Game AI and RL	link
Hugging Face	NLP, Deep RL, Audio, Open-Source AI Cookbook, and ML for Games	link
IBM	Data Science Professional Certificate	coursera
IBM	Data Analyst Professional Certificate	coursera
IBM	AI Engineering Professional Certificate: Machine Learning with Python, Introduction to Deep Learning & Neural Networks with Keras, Introduction to Computer Vision and Image Processing, Deep Neural Networks with PyTorch, Building Deep Learning Models with TensorFlow, and AI Capstone Project with Deep Learning	Coursera
IBM	Machine Learning Professional Certificate: Exploratory Data Analysis for Machine Learning, Supervised Machine Learning: Regression and Classification, Unsupervised Machine Learning, Deep Learning and Reinforcement Learning, Machine Learning Capstone	Coursera

Bootcamps/Workshops

Bootcamp Name(s)	From	Year(s)	Links	Description
ML Zoomcamp	DataTalksClub	2022	Github Repo, and Youtube Playlist	~
Data Engineering Zoomcamp	DataTalksClub	2022-2023	Github Repo, and Youtube Playlist	~
MLOps Zoomcamp	DataTalksClub	2022-2023	Github Repo, and Youtube Playlist	~
Deep Learning Course	Full Stack Deep Learning	2018-2022	webPage, and YouTube Playlist: 2021, 2022	~
LLM Bootcamp	Full Stack Deep Learning	2023	YouTube, and WebPage	~
Data Analyst Bootcamp	Alex The Analyst	2020-2024	Youtube Playlist, and FreeCodeCamp Single Video	Python, Pandas, Tableau, SQL, PowerBI, and Excell
Data Analysis with Python	freeCodeCamp.org	2020	link	Data Analyst, Jupyter Notebooks, NumPy, Pandas, Data Cleaning, Reading Data, and Python
Python for Data Science	freeCodeCamp.org	2020	link	Learn Python, Pandas, NumPy, Matplotlib
Building LLM-Powered Apps	Weights & Biases	2023	link	Learn how to build LLM-powered applications using LLM APIs
LangChain & Vector Databases in Production	ActiveLoop	2023	link	Learn how to use LangChain and Vector DBs in Production
Building Systems with the ChatGPT API	DeepLearning.Ai	2023	link	you will learn how to automate complex workflows using chain calls to a large language model

MOOCs

Name	Platform	Description	Link
Machine Learning Specialization	Coursera	#BreakIntoAI with Machine Learning Specialization. Master fundamental AI concepts and develop practical machine learning skills in the beginner-friendly, 3-course program by AI visionary Andrew Ng	link
Mathematics for Machine Learning and Data Science Specialization	Coursera	Master the Toolkit of AI and Machine Learning. Mathematics for Machine Learning and Data Science is a beginner-friendly Specialization where you’ll learn the fundamental mathematics toolkit of machine learning: calculus, linear algebra, statistics, and probability	link
AI For Everyone	Coursera	AI is not only for engineers. “AI for Everyone”, a non-technical course, will help you understand AI technologies and spot opportunities to apply AI to problems in your own organization. You will see examples of what today’s AI can – and cannot – do. Finally, you will understand how AI is impacting society and how to navigate through this technological change	link
AI for Good Specialization	Coursera	Learn AI's role in addressing complex challenges. Build skills combining human and machine intelligence for positive real-world impact using AI	link
Generative AI for Everyone	Coursera	~	link
Deep Learning Specialization	Coursera	Become a Machine Learning expert. Master the fundamentals of deep learning and break into AI. Recently updated with cutting-edge techniques!	link
Natural Language Processing Specialization	Coursera	Break into NLP. Master cutting-edge NLP techniques through four hands-on courses! Updated with the latest techniques in October '21	link
Generative AI with Large Language Models	Coursera	In Generative AI with Large Language Models (LLMs), created in partnership with AWS, you’ll learn the fundamentals of how generative AI works, and how to deploy it in real-world applications	link
TensorFlow: Data and Deployment Specialization	Coursera	Browser-based Models with TensorFlow.js, Device-based Models with TensorFlow Lite, Data Pipelines with TensorFlow Data Services, Advanced Deployment Scenarios with TensorFlow	link
StanfordOnline: Databases: Relational Databases and SQL	Edx	~	link and Youtube Playlist
StanfordOnline: Statistical Learning	Edx	Learn some of the main tools used in statistical modeling and data science. We cover both traditional as well as exciting new methods, and how to use them in R and Python.	edx-with-R, edx-with-Python, Youtube-with-R, and Youtube-with-Python
Data Visualization with Tableau Specialization	Coursera, UC Davis	Visualize Business Data with Tableau. Create powerful business intelligence reports	link
Learn SQL Basics for Data Science Specialization	Coursera, UC David	SQL for Data Science, Data Wrangling, Analysis and AB Testing with SQL, Distributed Computing with Spark SQL, SQL for Data Science Capstone Project	link
ICL: Mathematics for Machine Learning Specialization	Coursera, ICL	Mathematics for Machine Learning: Linear Algebra, Multivariate Calculus, and PCA	link
Stanford: Introduction to Statistics	Coursera, Stanford	Stanford's "Introduction to Statistics" teaches you statistical thinking concepts that are essential for learning from data and communicating insights. By the end of the course, you will be able to perform exploratory data analysis, understand key principles of sampling, and select appropriate tests of significance for multiple contexts. You will gain the foundational skills that prepare you to pursue more advanced topics in statistical thinking and machine learning.	link

Hands-on-Projects for Portfolio

Name	Description	Links
Hands on train and deploy ML	Predicting crypto price movements is extremely hard. But it is also a great field to show what Machine Learning has to offer. In this tutorial you won't build an ML system that will make you rich. But you will master the MLOps frameworks and tools you need to build ML systems that, together with tons of experimentation, can take you there. With this hands-on tutorial, I want to help you grow as an ML engineer and go beyond notebooks.	Github
Data Science & Machine Learning Projects	YouTube Playlist	link
20 Data Science Projects with Source Code for Beginners	Web Page	link

Paper Related

Name	Type	Description	Link(s)
Yannic Kilcher	YouTube Playlist	Explaining Research Papers in a short video	Paper Explained, NLP, RL, and DL Architecture
diar.ai ML Papers of The Week	GitHub	At DAIR.AI we ❤️ reading ML papers so we've created this repo to highlight the top ML papers of every week.	GitHub Repo and WebPage
labml.ai Deep Learning Paper Implementations	Code & Text	This is a collection of simple PyTorch implementations of neural networks and related algorithms. These implementations are documented with explanations, The website renders these as side-by-side formatted notes. We believe these would help you understand these algorithms better.	WebPage and Github Repo
Papers With Code	Website	The mission of Papers with Code is to create a free and open resource with Machine Learning papers, code, datasets, methods and evaluation tables.	web and github

Tutorials from its Creators

1. Scikit-Learn Tutorials
2. PyTorch Tutorials
3. The Python Tutorials - Python Documentation

Deploy Models

1. MlFlow
2. Deploy ML with Django

Learn With Others

Watching the people learning these same materials with you.

Topic	Playlist Name	Channel Name	Year	Youtube Link
DL	Deep Learning Adventures - Coding in Tensorflow	George Zoto	2020	link
DL	Deep Learning Adventures - Tensorflow In Practice	George Zoto	2020	link
DL	Deep Learning Adventures - Kaggle Courses	George Zoto	2021	link
DL	Deep Learning Adventures - TensorFlow Data and Deployment	George Zoto	2021	link

Online Books

Name	Author(s)	Description	Link(s)
ML for Trading - 2nd Edition	Stefen Jansen	This book aims to show how ML can add value to algorithmic trading strategies in a practical yet comprehensive way. It covers a broad range of ML techniques from linear regression to deep reinforcement learning and demonstrates how to build, backtest, and evaluate a trading strategy driven by model predictions.	github

Related Links

ML

1. Best-of Machine Learning with Python: This curated list contains 920 awesome open-source projects with a total of 4.3M stars grouped into 34 categories. All projects are ranked by a project-quality score, which is calculated based on various metrics automatically collected from GitHub and different package managers. If you like to add or update projects, feel free to open an issue, submit a pull request, or directly edit the projects.yaml. Contributions are very welcome!
2. Homemade Machine Learning: Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained. The purpose of this repository is not to implement machine learning algorithms by using 3rd party library one-liners but rather to practice implementing these algorithms from scratch and get better understanding of the mathematics behind each algorithm. That's why all algorithms implementations are called "homemade" and not intended to be used for production.

Other Lists

1. Technical Coursesem Books, and Tutorials on AI, DL, and ML for AI Developers

Books

1. An Introduction to Statistical Learning with application in Python/R

Interview

Name	Description	Link(s)
FixMyResume	Fix your resume using AI, Find out if your resume fits the job you’re applying for.	Webpage - link
ACCIO	Instantly Generate Resume Summary, Get a Quick Assessment of Any Resume Based on Job Role	Webpage - link
machine-learning-interview	Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.	github

Interactive Learning

1. freeCodeCamp: link

Roadmap

1. AI Expert Roadmap

Documentations

Name	Link(s)
Python	webPage

Blogs

Get Insight

Brandon Roher Blog: link

Fun Youtube Channels

1. The Coding Train (click)
2. Prof Ghrist Math: this is a channel for those on the road to Mathematics. (click)