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Prompt Engineering Skilltest 2026

About the Event

This test is designed to assess how well you can design, improve, and use prompts for modern Generative AI systems. 

Prompt engineering is a key skill for working with LLMs, AI copilots, and agentic systems. This skilltest includes 20 time-bound questions that check both your conceptual understanding and your ability to apply prompts in real-world scenarios. 

Whether you work with GenAI, build AI-powered products, or are exploring this space, this test helps you evaluate your skills, see where you stand on the leaderboard, and identify areas to improve. 

 

Test Duration

  • Start: 5 January 2026 
  • End: 11 January 2026 (Midnight) 

 

Why Take This Test?

  • Assess your prompt engineering skills using practical, scenario-based questions 
  • Earn cash prizes and leaderboard recognition 
  • Stay up to date with one of the most in-demand GenAI skills 
  • Compare your performance with learners and professionals across India 

 

Prize Pool

Top performers receive cash rewards 💰

  • 🥇 1st Prize: ₹20,000
  • 🥈 2nd Prize: ₹10,000
  • 🥉 3rd Prize: ₹5,000

 

Who Should Take This Test?

  • GenAI and LLM practitioners 
  • Data scientists, analysts, and ML engineers 
  • Product managers working on AI features 
  • Developers and tech professionals exploring GenAI 
  • Anyone looking to strengthen prompt engineering skills 

 

Want to Prepare or Learn More?

If you want to build strong fundamentals or explore advanced prompt design techniques, check out our Prompt Engineering Free Course. It includes hands-on examples, real-world use cases, and practical frameworks for writing production-ready prompts. 

 

👉 Explore the course:  Building LLM Applications using Prompt Engineering


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Spaces You Can Join

Data Science

Over here, you can engage in discussions, ask questions, share insights, and converse about all things Data Science, from regression models to LLMs!

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10.4K

Generative AI

Over here, you can engage in discussions, ask questions, share insights, and converse about all things Data Science, from regression models to LLMs!

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10.4K

Data Engineering

Over here, you can engage in discussions, ask questions, share insights, and converse about all things Data Science, from regression models to LLMs!

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10.4K

Frequently Asked Questions

Find the answers for the most frequently asked questions

There are no specific requirements to register for the hackathon, although it is recommended to have some basic knowledge of the relevant topics, such as Data Science, Machine Learning, or Deep Learning, along with proficiency in a coding language, preferably Python.

Depending on the type of competition, you can participate individually or in a team.

You can access the problem statement under the "Problem Statement" tab once the Hackathon is live.

Participants benefit from one-on-one feedback, publication on a respected platform, recognition from a global audience, and monetary rewards for each published article. Additionally, the top articles receive special rewards.

Each article must be original, and pass plagiarism and not AI generated content checks. You can submit multiple articles as long as each is distinct. Proper citation of all references and image sources is mandatory.

In the Blogathon, an article typically explores a specific topic or idea within Data Science or Generative AI and is required to be at least 1000 words long. A guide, on the other hand, is a more comprehensive resource, covering all aspects of a particular subject in data science, and must be at least 2500 words long. Guides aim to serve as a one-stop resource, providing detailed insights and practical applications, whereas articles might focus on narrower or more specific topics.

Multiple submissions of the same article are prohibited and could lead to disqualification. Articles failing to meet the required length, originality, or citation standards will be rejected.

AVCC is a community for authors who have had three or more articles published in the Blogathons. Members benefit from monetary rewards for each published article and get the opportunity to showcase their work to a larger audience.