CodeYogi Founder Prashant Chaudhary Wins Rohini Nayyar Prize for Education and Technology Work

4. CodeYogi Founder Prashant Chaudhary Wins Rohini Nayyar Prize for Education and Technology Work

Prashant Chaudhary, founder of CodeYogi, has won the Rohini Nayyar Prize, bringing attention to the importance of technology education and digital inclusion in India.

According to The Indian Express, CodeYogi Foundation has taught technology and artificial intelligence skills to more than 3.5 lakh students across nine states and 120 districts.

The organisation focuses on making technology education accessible to students, particularly those from underserved communities.

Its approach includes introducing students to programming, basic AI literacy and the responsible use of technology. The organisation also highlights issues such as algorithmic bias and the risks of becoming overly dependent on AI-generated outputs.

The recognition highlights the importance of combining technology education with mentorship, accessibility and practical learning opportunities.

Why This Matters:

As artificial intelligence becomes increasingly important across industries, unequal access to technology education could create a wider skills gap among students.

Educational institutions need to go beyond theoretical instruction and provide opportunities for students to experiment with technology, develop projects and understand how digital tools can solve real-world problems.

Source: The Indian Express — CodeYogi Founder Prashant Chaudhary Wins Rohini Nayyar Prize
https://indianexpress.com/article/cities/delhi/prashant-chaudhary-codeyogi-rohini-nayyar-prize-rural-ai-education-10945465/

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INDUSTRY TAKEAWAY: WHAT SHOULD STUDENTS AND EARLY-CAREER PROFESSIONALS UNDERSTAND?

The latest developments point towards an important shift in India's technology and employment landscape.

AI is creating new business opportunities, but employers are also reassessing the skills required from their workforce. Technology job openings are recovering, enterprise AI adoption is expanding, and educational institutions are beginning to rethink how students should prepare for the workplace.

For students and early-career professionals, the focus should be on developing practical capabilities rather than collecting certificates alone.

Five areas worth prioritising:

1. Programming and problem-solving fundamentals.
2. Practical AI and LLM application development.
3. API integration, databases and workflow automation.
4. Real-world projects documented on GitHub.
5. Technical communication and the ability to explain project decisions.

The next generation of technology professionals will need to demonstrate not only what they know, but also what they can build, implement and solve.

The key message: Learn the technology, apply it to real problems, build evidence of your capabilities and continuously improve.