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GenAI Engineer Skill Test

About the Event

The GenAI Engineer Skill Test is a structured assessment designed to help participants evaluate their Generative AI and Large Language Model skills. It helps learners understand their readiness for GenAI engineering roles through practical, industry-aligned questions. 

This test allows participants to benchmark their current skill level, identify gaps, and strengthen their understanding of core GenAI concepts used in real-world applications. 

 

About Analytics Vidhya

 

Analytics Vidhya is India’s largest and one of the world’s leading communities for data science, AI, and Generative AI professionals. With over 1.5 million monthly visits and a global community of more than 5.4 million learners and practitioners, Analytics Vidhya supports learners through high-quality content and hands-on learning experiences. 

The platform offers articles, community discussions, webinars, certification programs, and practical assessments that help learners stay aligned with industry expectations. 

 

Purpose of the Skill Test

 

This test is designed to help participants: 

  • Evaluate their GenAI engineering skills

  • Understand interview-style GenAI questions

  • Identify strengths and improvement areas 

  • Build confidence for GenAI roles 

 

Skills Covered

 

Participants will be tested on the following areas: 

  • Generative AI fundamentals

  • Large Language Models and prompting basics

  • LLM inference and evaluation concepts 

  • Retrieval-Augmented Generation fundamentals 

  • Responsible AI and GenAI limitations 

  • Applied problem-solving using GenAI systems 

 

Test Format and Timeline

 

  • 25 time-bound MCQ questions

  • Start Date: 6 February 2026

  • End Date: 12 February 2026 

 

Why Take the GenAI Engineer Skill Test?

 

  • Practice practical, job-relevant GenAI questions

  • Assess readiness for GenAI engineering roles

  • Benchmark performance against peers 

  • Identify learning gaps 

  • Strengthen conceptual understanding 

 

Who Should Participate?

 

  • Aspiring GenAI engineers

  • Students learning Generative AI and LLMs

  • Software engineers moving into GenAI roles 

  • AI practitioners exploring GenAI systems 

  • Anyone preparing for GenAI engineering roles 

 

Want to Prepare or Learn More?

 

If you want to strengthen your fundamentals or revise key GenAI concepts before taking the test, explore beginner-friendly Generative AI and LLM learning programs on Analytics Vidhya. These programs cover prompting, LLM basics, RAG, and applied GenAI workflows through hands-on learning. 

Explore the course: Generative AI and LLM learning programs

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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.