Skip to Content

All Courses

Computer science for kids
Computer science for kids

🎯 Target Age: 10–14

đź•’ Duration: 6 Weeks (2 sessions/week)

👨‍🏫 Format: 1 theory + 1 practical project per week

🌟 Goal: Build computational thinking and basic Python fluency while solving puzzles, logic games, and creative challenges.

computer science
AEM SWE Bootcamp - From Zero to Job-Ready
New Content
AEM SWE Bootcamp - From Zero to Job-Ready

AEM, Adobe Experience Manager, Software Engineer, Web Development, Sling, OSGi, Sightly, Core Components, Interview Preparation

đź“… Duration: 5 Weeks

🎯 Goal: Train candidates from foundational AEM knowledge to real-world developer skills and help them crack interviews and vendor calls.

AEM
AI for Builders: From Concepts to Your First Project
AI for Builders: From Concepts to Your First Project
Welcome to "AI for Builders," a hands-on, 5-week course designed to take you from a complete beginner to a confident AI practitioner. This course is not just about theory; it's about building. You'll learn the core concepts of artificial intelligence, master essential tools like Python and Jupyter Notebooks, and, most importantly, build a portfolio of practical AI applications. By the end of this course,you will have a deep understanding of what AI is, how to use it, and how to continue your learning journey. Get ready to build, create, and innovate!
Basic
🕵️‍♂️ Data Detective: Data Engineer Bootcamp (5 Weeks)
🕵️‍♂️ Data Detective: Data Engineer Bootcamp (5 Weeks)

🎯 Theme: You're a "Data Detective" hired to solve business mysteries using data pipelines, SQL sleuthing, and cloud forensics.

Each week follows this structure:

  • Mission Brief (story-based scenario)

  • Training (theoretical concepts)

  • Fieldwork (mini project / real data investigation)

  • Debrief (quiz + findings presentation)

Data Engineer
Data Engineer

Sr. Data Engineer Bootcamp (8–10 Weeks)

Target Audience: Aspiring Data Engineers with basic Python/SQL knowledge

End Goal: Placement-ready data engineer with hands-on experience across cloud, pipelines, and big data stack