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Course Meta
3 Months
3.5

html,css

  • 8 Lessons
  • 25 Students
Beginner Level
CSS Grid Layout: Advanced Web Design
3.5
  • 8 Lessons
  • 3 Months
What You’ll Learn?
  • Create responsive and sophisticated webpage structures by mastering CSS Grid containers, rows, and columns.
  • Utilize media queries and grid features to design grids that adapt seamlessly to various screen sizes.
  • Enhance user engagement and interactivity with animations, transitions, and hover effects on grid-based layouts.
Course Meta
3 Months
3.5

html,css

  • 8 Lessons
  • 25 Students
Beginner Level
CSS for Modern UI Design: Material Design and Beyond
3.5
  • 8 Lessons
  • 3 Months
What You’ll Learn?
  • Use advanced CSS techniques to create surfaces, shadows, and interactions that mimic material design principles.
  • Develop custom UI components inspired by Material Design, including floating action buttons and responsive navigation bars.
  • Discover responsive UI patterns that adapt to different devices and orientations.
Course Meta
2 Months
3.5

html,css

  • 6 Lessons
  • 25 Students
Beginner Level
CSS Variables and Custom Properties
3.5
  • 6 Lessons
  • 2 Months
What You’ll Learn?
  • Learn how to use CSS variables (custom properties) to enable dynamic and reusable styles.
  • Develop adaptable styles that respond to user input and dynamic changes with advanced techniques like variable interpolation.
  • Create customizable themes using CSS variables, enabling users to customize your web applications.
Course Meta
3 Months
3.5

html,css

  • 8 Lessons
  • 25 Students
Beginner Level
Optimizing Web Performance with HTML/CSS
3.5
  • 8 Lessons
  • 3 Months
What You’ll Learn?
  • Optimize rendering and loading times by analyzing and diagnosing HTML and CSS performance bottlenecks.
  • Make your initial page load faster by optimizing the critical rendering path.
  • Minimize and compress HTML and CSS files to reduce file sizes and improve website performance.
Course Meta
1 Months
4.5

data science,machine learning

  • 8 Lessons
  • 25 Students
Beginner Level
Natural Language Processing (NLP) with Machine Learning
4.5
  • 8 Lessons
  • 1 Months
What You’ll Learn?
  • Learn how to preprocess and tokenize text data to prepare it for analysis and machine learning applications.
  • Explore sentiment analysis, the comprehension of emotions in text, and named entity recognition, the extraction of entities from text.
  • Explore text generation methods utilizing language models such as LSTM and Transformer to generate text content using artificial intelligence.