These 9 playlists teach AI/ML better than most university degrees 👇

JavaScript Full Stack Developer Roadmap: 2026 Edition 📚

Stage 1 – HTML
Stage 2 – CSS
Stage 3 – JavaScript (ES6+)
Stage 4 – Git + GitHub
Stage 5 – Node.js
Stage 6 – Express.js
Stage 7 – REST APIs
Stage 8 – MongoDB / PostgreSQL
Stage 9 – React.js
Stage 10 – Build Full Stack Project
Stage 11 – Testing (Jest, Mocha)
Stage 12 – Deployment (Vercel / AWS)

🏆 JavaScript Full Stack Developer 🏆

🚀 FREE AI Access + AI Project Opportunity
Agent ai × HackerEarth Challenge is now open.

✓ OpenAI, Claude, DeepSeek — FREE
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✓ Perfect for resume/projects
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Register here:
👉 https://tinyurl.com/my9hduvx

AWS Cloud Developer Roadmap: 2026 Edition ☁️

Stage 1 – Cloud Basics
Stage 2 – AWS Core Services (EC2, S3, RDS)
Stage 3 – IAM (Identity & Access Management)
Stage 4 – Networking (VPC, Route 53)
Stage 5 – Databases (DynamoDB, Aurora)
Stage 6 – Lambda & Serverless
Stage 7 – Monitoring (CloudWatch)
Stage 8 – Security & Compliance
Stage 9 – Deployment (CI/CD Pipelines)

🏆 AWS Cloud Developer 🏆

12-Week Python Roadmap 🐍

Week 1 – Python Basics
Week 2 – Control Flow
Week 3 – Data Structures I (Lists & Tuples)
Week 4 – Data Structures II (Dictionaries & Sets)
Week 5 – Functions
Week 6 – File Handling
Week 7 – Error Handling & Debugging
Week 8 – Object-Oriented Programming (OOP)
Week 9 – Modules & Packages
Week 10 – APIs
Week 11 – Data Analysis with Pandas
Week 12 – Capstone Project 🤘

No company will be able to reject you if you add these 5 skills to your resume 🔥

1. Microsoft: Python for Beginners:

https://learn.microsoft.com/en-us/shows/intro-to-python-development/?wt.mc_id=python-c9-niner

2. Microsoft: Introduction to AI in Azure:

https://learn.microsoft.com/en-us/training/paths/introduction-to-ai-on-azure/


3. AWS: Cloud computing:

https://skillbuilder.aws/learn/94T2BEN85A/aws-cloud-practitioner-essentials/8D79F3AVR7

4. IBM: Data Science:

https://skillsbuild.org/students/course-catalog/data-science


5. Infosys: Springboard:

https://infyspringboard.onwingspan.com/web/en/login#iss=https://infyspringboard.onwingspan.com/auth/realms/infyspringboard

Build even ONE of these projects and you're ahead of 90% 🔥

1️⃣ Machine Learning Engineer
(ML + Deployment + MLOps)

GitHub:
https://github.com/DataTalksClub/mlops-zoomcamp

What this project is:
End-to-end ML workflow with:

• Feature engineering, model training
• ML pipelines + experiment tracking
• Model deployment + monitoring
• Perfect for ML job interviews

Stack: Python, Scikit-Learn, Airflow, Prefect, MLflow, Docker, FastAPI


2️⃣ Cybersecurity (Pentesting + Red Team + Exploits)

GitHub:
https://github.com/OWASP/masvs

What this project is:
“Mobile App Security Verification”

• Vulnerability testing guides
• Secure coding practices
• Industry-accepted standard

Stack: Security frameworks, Pentesting tools, Mobile App Security


3️⃣ DevOps / SRE (CI/CD + Kubernetes + Infra Automation)

GitHub:
https://github.com/kelseyhightower/kubernetes-the-hard-way

What this project is:
A real hands-on project where you:

• Deploy Kubernetes cluster manually
• Implement networking, security, TLS
• Learn infra the way real SREs do

Stack: Kubernetes, Cloud (GCP), Linux Containers, Networking, Security

If you want to learn AI and ML from the very beginning to an advanced level, these 5 Stanford courses are the best:

1️⃣ CS221 – Artificial Intelligence:
https://youtube.com/playlist?list=PLoROMvodv4rO1NB9TD4iUZ3qghGEGtqNX

2️⃣ CS229 – Machine Learning:
https://youtube.com/playlist?list=PLoROMvodv4rMiGQp3WXShtMGgzqpfVfbU


3️⃣ CS230 – Deep Learning:
https://youtube.com/playlist?list=PLoROMvodv4rNRRGdS0rBbXOUGA0wjdh1X


4️⃣ CS234 – Reinforcement Learning:
https://youtube.com/playlist?list=PLoROMvodv4rN4wG6Nk6sNpTEbuOSosZdX


5️⃣ CS336 – Large Language Models:
https://youtube.com/playlist?list=PLoROMvodv4rOY23Y0BoGoBGgQ1zmU_MT_

Doing these courses at Stanford normally costs a lot of money. But the good news is that all of them are available free on YouTube.

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Happy New Year Everyone! 🥳🎉

Wishing everyone success and happiness this year 😌✨

Websites That Makes You Better at Programming 🔥

1️⃣ Gamified way to learn Python, DSA, Git.

https://www.codedex.io/

2️⃣ Master Full-Stack development.
https://www.theodinproject.com/

3️⃣ Full 12Hr courses for each programming languages.

https://www.youtube.com/@BroCodez

4️⃣ Full courses for real-world programming subjects.

https://www.sololearn.com/en/

5️⃣ Learn any programming language with practice.

https://www.w3schools.com/

6️⃣ Practice data structures and technical interview prep.

https://leetcode.com/problemset/

7️⃣ Full hands-on programming courses.

https://codefinity.com/

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⚠️ Don’t wait. Skills decide salary in 2026.

If you build even ONE of these API projects, you're ahead of 90% of beginners 🔥