Platform | Type | Resource |
---|---|---|
FreeCodeCamp | Video Tutorials | FreeCodeCamp: https://www.freecodecamp.org/ |
Web Dev Simplified | Video Tutorials | Web Dev Simplified: https://www.youtube.com/c/WebDevSimplified |
Geeks for Geeks | Text/Video | Geeks for Geeks: https://www.geeksforgeeks.org/ |
Daily.dev | Chrome Extension | Daily.dev: https://chrome.google.com/webstore/detail/dailydev-news-for-developer/fhplmmllnpjjlncfjpbbpjadoeijkogc |
Roadmap.sh | Roadmap | Web Development Roadmap: https://roadmap.sh/ |
Platform | Type | Resource |
---|---|---|
Coding Ninjas | Course | MERN/MEAN Full Stack Course: https://www.codingninjas.com/ |
Udemy | Course | Full Stack Course: https://www.udemy.com/ |
Apna College | Course | Full Stack Course: https://www.apnacollege.in/ |
Type | Technologies |
---|---|
Frontend Development | HTML, CSS, JavaScript, React, Angular |
Backend Development | Node.js, Express.js, Django, Flask |
Full-Stack | MERN, MEAN |
Tool | Description |
---|---|
GitHub Student Pack | Discounts: https://education.github.com/pack |
Pieces OS | Personal snippet manager for developers |
GitHub Copilot | AI-powered coding assistant |
Tabnine AI | AI code completion tool |
Cursor.sh | Code editor with integrated Copilot++ support |
Channel | Description |
---|---|
Web_Addicted91 | Web Development Projects |
Note
Important: Always keep your tools updated to the latest versions to ensure compatibility and security.
Type | Technologies |
---|---|
Android Development | Kotlin, Java |
iOS Development | Swift |
Cross-Platform Development | Flutter, React Native |
Platform | Type | Resource |
---|---|---|
Philipp Lackner's Android Tutorials | Video Tutorials | YouTube Channel: https://www.youtube.com/c/PhilippLackner |
Google's Kotlin & Android Development Guide | Documentation | Developer Android Documentation: https://developer.android.com/docs |
Platform | Type | Resource |
---|---|---|
Udemy | Course | The Complete Android & Kotlin Masterclass: https://www.udemy.com/ |
Google Cloud for Mobile | Tools for authentication, messaging (FCM), cloud functions, and ML integration with ML Kit. |
Tool | Description |
---|---|
Firebase Integration | For backend services |
Tip
Tip: Utilize Firebase for seamless backend integration and real-time database management.
Type | Technologies |
---|---|
Data Science Tools | Python (Pandas, Numpy, Matplotlib) |
Machine Learning | Scikit-learn, TensorFlow, PyTorch |
Deep Learning | Keras, TensorFlow |
Data Visualization | Tableau, Matplotlib |
Platform | Type | Resource |
---|---|---|
Andrew Ng's ML on Coursera | Free Course | Andrew Ng's ML on Coursera: https://www.coursera.org/learn/machine-learning |
Neural Nine | Video Tutorials | YouTube Channel: https://www.youtube.com/c/NeuralNine |
Kaggle | Platform for Projects | Kaggle: https://www.kaggle.com/ |
Google Colab | Tool (Free GPU) | Google Colab: https://colab.research.google.com/ |
TensorFlow | ML Framework | TensorFlow: https://www.tensorflow.org/ |
Platform | Type | Resource |
---|---|---|
Udemy | Course | Machine Learning A-Z: https://www.udemy.com/ |
Towards Data Science | Blog (Reading) | Towards Data Science: https://towardsdatascience.com/ |
SuperDataScience | Blog (Reading) | SuperDataScience: https://www.superdatascience.com/ |
Tool | Description |
---|---|
CNN Explainer | Visualization tool for understanding neural networks: CNN Explainer: https://poloclub.github.io/cnn-explainer/ |
Google Cloud AI Platform | Use TensorFlow on the AI Platform for model training and deployment. |
Channel | Description |
---|---|
Krishnaik’s ML Channel | AI/ML Development Resources |
Important
Crucial: Ensure you have a solid understanding of Python before diving into AI/ML development.
Tool Type | Link |
---|---|
GitHub Student Pack | Discount for Students: https://education.github.com/pack |
Google Cloud Free Tier | Free Credits: https://cloud.google.com/free |
Qwiklabs | Google Cloud Labs: https://www.qwiklabs.com/ |
Warning
Critical: Be cautious of the potential risks when using free tools and platforms. Always read the terms and conditions.
Caution
Negative Potential Consequences: Misuse of AI/ML tools can lead to biased models and incorrect predictions. Always validate your models thoroughly.