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Re-Institutionalising Creative Education for the AI Era

Built for learners, institutions, and industries shaping the future of creativity, cognition, and AI-led education through a connected phygital learning ecosystem.

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AI-Led Personalised Learning

Code Edu is driven by a system of personalised learning pathways that adapt to how individuals learn, perform, and progress over time. As an AI learning platform, it analyses user behaviour, interests, and performance to deliver AI-driven course recommendations. Learners are not required to navigate static course lists. The system continuously suggests relevant learning experiences based on their direction and development.

Each journey is shaped through domain and skill mapping, helping learners understand what to learn, why it matters, and how it connects to real-world roles. Adaptive assessments focus on application and evolving learning patterns rather than standard testing alone. The system also includes a structured portfolio builder for documenting and showcasing work, while a career matchmaking layer connects skills, outputs, and domain expertise with relevant professional opportunities.

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How Code Edu Redefines the Way Learning Works

  • Domain-specific modules built for capability, not just completion
  • Structured mentor pathway with sessions, challenges, and peer reviews
  • AI-powered learning pathways mapped to domains and skills
  • Multimodal evaluation based on projects and real outputs
  • Continuous portfolio development integrated into learning
  • Career and freelancing pathways mapped alongside progress
  • National and global collaboration across learners and mentors
What We Offer Industry

Phygital learning across 10 domains | 5 Skills | 25+ Micro-skills | 500+ Job roles

The Difference in the System
Integrated Learning Ecosystem

Courses, mentor-led guidance, peer learning, and industry exposure exist within one unified environment. Learning, practice, and application are interconnected, enabling applied understanding alongside conceptual knowledge.

Applied, Not Fragmented Learning

Learning is structured around domains, skill mapping, and real-world application. Instead of isolated subjects and completion-based progression, learners engage through projects, challenges, and feedback-driven outputs.

AI-Powered Personalised Learning Pathways

Learning journeys are guided through adaptive progression, domain mapping, and role-based alignment. Recommendations evolve based on individual performance, interests, and skill development.

Capability That Leads to Real Outcomes

Portfolio-based progression ensures that learners build measurable outputs over time. This leads to clearer career direction, stronger positioning, and access to opportunities aligned with industry roles, placing the platform among the emerging top edtech platforms in India.

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Meet our creative team

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Dr. Shweta Choudhary
Director & Founder
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Digvijay Singh
Director
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Ajay Revalia
Chief Product Officer
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Rajendra Nanda
Chief Technology Officer
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Dr. Garima Agarwal
Chief Academic Officer
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Nikhil Behal
Chief Business Officer
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Aastha Chhajed
Chief Operating Officer
Vinay Modi
Vinay Modi
Head - Student Engagement & Learning
Jagrati Sharma
Jagrati Sharma
Head - Business Development & Enterprise Growth

FAQ's

Code Edu connects learning, application, and career direction within one system. It uses domain-based modules, mentor pathways, and industry-led formats instead of isolated courses, and measures progress through outputs and portfolios.

Code Edu is an AI-powered learning platform that personalises learning pathways based on user behaviour and performance. It recommends courses, maps skills to domains, and adapts progression to align with real-world roles.

Code Edu operates through three layers: enCODE LIVE for access to courses and live formats, enCODE Fellowship for structured learning and applied work, and enCODE Collegiate for institutional integration and outcome-driven education.

Code Edu supports career development by mapping skills to roles, enabling portfolio building through project work, and providing industry exposure. It also includes career and freelancing pathways aligned with real opportunities.

The enCODE Fellowship is a structured, micro credit-based program on Code Edu that combines courses, mentor sessions, and applied projects. It focuses on building consistent output and developing real capabilities.

Learners build skills across design, technology, and media, including UX/UI, product thinking, and digital communication on Code Edu. It also includes communication, leadership, and problem-solving to support overall capability.

Code Edu builds student portfolios through continuous project work, challenges, and industry-led formats. Outputs are documented, refined, and structured over time to reflect real skills and application.

Code Edu is important for the AI era as it focuses on creativity, problem-solving, and application of knowledge. It helps learners build capabilities that remain relevant as industries evolve with AI.