🎯 7 best YouTube channels to learn AI from scratch 👇

1/ DeepLearning AI:
https://www.youtube.com/c/DeepLearningAI

2/ Krish Naik:
https://www.youtube.com/channel/UCNU_lfiiWBdtULKOw6X0Dig

3/ StatQuest with Josh Starmer:
https://www.youtube.com/c/joshstarmer

4/ 3Blue1Brown:
https://www.youtube.com/c/3blue1brown

5/ FreeCodeCamp
https://www.youtube.com/c/Freecodecamp

6/ Yannic Kilcher:
https://www.youtube.com/c/YannicKilcher

7/ IBM Technology:
https://www.youtube.com/c/IBMTechnology

These days things are getting😨😨 ....

🎯If you want to survive in AI era, you must complete these 5 Free AI Courses by google before the 2026 ends 👇

1/ Introduction to Generative AI:
https://www.skills.google/course_templates/536

2/ Introduction to LLM:
https://www.skills.google/course_templates/539

3/ Introduction to Responsible AI:
https://www.skills.google/course_templates/554

4/ GenAI Bootcamp:
https://cloudonair.withgoogle.com/gen-ai-bootcamp

5/ Google AI Essentials:
https://www.skills.google/paths/2336

⭐⭐⭐ Advance Level Data science Projects ⭐⭐⭐

1) Identify your Digits Dataset : https://www.kaggle.com/c/digit-recognizer/data

2) Recommendation Engine : https://cseweb.ucsd.edu/~jmcauley/datasets.html

3) Visual QA : https://visualqa.org/download.html

4) Vox Celebrity : http://www.robots.ox.ac.uk/~vgg/data/voxceleb/

5) Breast cancer classification : https://www.kaggle.com/martinab/breast-cancer-classification-wisconsin-dataset

6) Traffic signals : http://benchmark.ini.rub.de/?section=gtsrb&subsection=dataset

7) Image caption generator : https://academictorrents.com/details/9dea07ba660a722ae1008c4c8afdd303b6f6e53b

A lot of folks on X have been asking how I’m shipping every day… this is how I get ideas btw 👉👈

@selfmadecoder

Harvard University offers a ton of FREE online courses.
From Computer Science to Artificial Intelligence.
Here are 10 FREE courses you don't want to miss

1. Introduction to Computer Science
An introduction to the intellectual enterprises of computer science and the art of programming.
Check here 👇
https://pll.harvard.edu/course/cs50-introduction-computer-science?delta=0


2. Web Programming with Python and JavaScript
This course takes you deeply into the design and implementation of web apps with Python, JavaScript, and SQL using frameworks like Django, React, and Bootstrap.
Check here 👇
https://pll.harvard.edu/course/cs50s-web-programming-python-and-javascript?delta=0

3. Introduction to Programming with Scratch

A gentle introduction to programming that prepares you for subsequent courses in coding.
Check here 👇
https://pll.harvard.edu/course/cs50s-introduction-programming-scratch?delta=0

4. Introduction to Programming with Python
An introduction to programming using Python, a popular language for general-purpose programming, data science, web programming, and more.
Check here 👇
https://edx.org/course/cs50s-introduction-to-programming-with-python



5. Understanding Technology
This is CS50’s introduction to technology for students who don’t (yet!) consider themselves computer persons.
Check here 👇
https://pll.harvard.edu/course/cs50s-understanding-technology-0?delta=0

6. Introduction to Artificial Intelligence with Python
Learn to use machine learning in Python in this introductory course on artificial intelligence.
Check here 👇
https://pll.harvard.edu/course/cs50s-introduction-artificial-intelligence-python?delta=0


7. Introduction to Game Development
Learn about the development of 2D and 3D interactive games in this hands-on course, as you explore the design of games such as Super Mario Bros., Pokémon, Angry Birds, and more.
Check here 👇
https://pll.harvard.edu/course/cs50s-introduction-game-development?delta=0

8. CS50's Computer Science for Business Professionals
This is CS50’s introduction to computer science for business professionals.
Check here 👇
https://pll.harvard.edu/course/cs50s-computer-science-business-professionals-0?delta=0


9. Mobile App Development with React Native
Learn about mobile app development with React Native, a popular framework maintained by Facebook that enables cross-platform native apps using JavaScript without Java or Swift.
Check here 👇
https://pll.harvard.edu/course/cs50s-mobile-app-development-react-native?delta=0

10. Introduction to Data Science with Python
Join Harvard University instructor Pavlos Protopapas in this online course to learn how to use Python to harness and analyze data.
Check here 👇
https://pll.harvard.edu/course/introduction-data-science-python?delta=0

Artificial Neural Networks with Java
Igor Livshin, 2019

Some helpful Data science projects for beginners

https://www.kaggle.com/c/house-prices-advanced-regression-techniques

https://www.kaggle.com/c/digit-recognizer

https://www.kaggle.com/c/titanic

BEST RESOURCES TO LEARN DATA SCIENCE AND MACHINE LEARNING FOR FREE

https://developers.google.com/machine-learning/crash-course

https://www.kaggle.com/learn/overview

https://forums.fast.ai/t/recommended-python-learning-resources/26888

https://www.fast.ai/

https://imp.i115008.net/JrBjZR

https://ern.li/OP/1qvkxbfaxqj

ENJOY LEARNING 👍👍

Machine Learning in Microservices
Mohamed Abouahmed, 2023

BREAKING

Just ....

Software Engineer
Company: Tholons Inc.

“Software Developer – Python & AI Agent Development (Entry-Level). We are seeking a highly skilled Python Developer specializing in AI agent architecture to drive immediate innovation. You will lead...
”
- Experience level: Entry-Level
Source: josad_software
#software #engineer #AI #Python #LinkedIn

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🛠 DAILY DEV COMMANDS CHEAT SHEET


# ============================================
# Start / Stop
# ============================================
docker compose up # Start all services (foreground)
docker compose up -d # Start in background
docker compose down # Stop all services
docker compose down -v # Stop + delete volumes (fresh DB)
docker compose restart web # Restart specific service

# ============================================
# Logs
# ============================================
docker compose logs -f web # Follow web logs
docker compose logs -f # Follow all logs
docker compose logs --tail 100 web # Last 100 lines

# ============================================
# Django Commands
# ============================================
docker compose exec web uv run python manage.py shell
docker compose exec web uv run python manage.py makemigrations
docker compose exec web uv run python manage.py migrate
docker compose exec web uv run python manage.py createsuperuser
docker compose exec web uv run python manage.py test

# ============================================
# Database
# ============================================
docker compose exec db psql -U postgres -d habsify_db
# Then: \dt (list tables), \q (quit)

# ============================================
# Container Shell
# ============================================
docker compose exec web bash # Get into web container
docker compose exec db bash # Get into postgres container

# ============================================
# Status
# ============================================
docker compose ps # See running containers
docker compose top # See processes in containers

# ============================================
# Clean Slate
# ============================================
docker compose down -v # Delete everything
docker system prune -a # Delete unused images/cache