Master Web & AI Development

Frontend Development:

• HTML: Structure and content of web pages
• CSS: Styling and layout (CSS frameworks like Bootstrap, Tailwind CSS)
• JavaScript: Client-side interactivity

Frameworks/Libraries:

• React.js
• Angular
• Vue.js

Backend Development:

• Node.js, Django, Flask, Laravel, Spring Boot
• Databases: MySQL, PostgreSQL, MongoDB, Firebase
• APIs: RESTful, GraphQL

DevOps and Deployment:

• Version Control: Git, GitHub
• CI/CD: Jenkins, GitHub Actions
• Cloud Platforms: AWS, Heroku, Netlify

Programming Languages:

• Python, R, Java, Julia, C++

Libraries and Frameworks:

• Machine Learning: Scikit-learn, XGBoost
• Deep Learning: TensorFlow, PyTorch, Keras
• NLP: spaCy, NLTK, Hugging Face Transformers
• Computer Vision: OpenCV, YOLO

AI Development Tools:

• NumPy, Pandas
• Visualization: Matplotlib, Seaborn
• Platforms: Google AI, AWS SageMaker

Data Collection:

• APIs: REST, GraphQL
• Web Scraping: BeautifulSoup, Selenium

Data Manipulation and Analysis:

• Libraries: NumPy, Pandas (Python), dplyr (R)

Visualization:

• Python: Matplotlib, Seaborn, Plotly
• R: ggplot2

Big Data Tools:

• Hadoop, Apache Spark
• Data Storage: MySQL, MongoDB
• Data Warehousing: Redshift, Snowflake

• Mobile App Development Approaches:
  • Native Development: Swift, Kotlin
  • Cross-Platform: Flutter, React Native
  • PWAs: Angular, React
• Backend Technologies:
  • Node.js, Django, Firebase
  • Databases: MongoDB, MySQL
• UI/UX: Material Design, SwiftUI, Jetpack Compose
• Mobile-Specific Features: FCM, Stripe, Google Maps SDK