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Learning Paths

A learning path is a structured sequence of courses and guided projects designed to build comprehensive knowledge or skills in a specific domain. These collections are carefully curated to provide a complete learning journey from foundational concepts to advanced topics.

Path Components​

Learning paths typically include:

  • Multiple courses organized in a logical sequence
  • Guided projects for hands-on practice
  • Assessments to verify understanding
  • Badges upon completion of significant milestones
  • Certificates in some learning paths

Key Features​

  • Structured Learning: Content organized in a strategic order
  • Comprehensive Coverage: From basics to advanced topics
  • Practical Application: Includes hands-on projects
  • Progress Tracking: Monitor your advancement through the path
  • Badge & Certificate Awards: Recognition of completion at various stages (for some learning paths)
  • Lifetime Access: No expiry, learn at your own pace

Some of our most sought-after learning paths include:

  • Fundamentals of AI
  • DevOps and Software Engineering
  • Data Science and Analytics
  • Cloud Computing
  • Cybersecurity Fundamentals

Learning Experience​

  • Self-Paced: Progress at your own speed
  • Interactive: Engage with various learning materials
  • Practical: Apply knowledge through projects
  • Supported: Access to AI teaching assistants
  • Community: Connect with fellow learners

Language Support​

  • Currently primarily in English but support translation using Generative AI