Secure 3-Step Process
Large Language Models - Skill Assessment
This assessment is designed to evaluate professional knowledge of Large Language Models (LLMs) and their practical use in modern applications. It is intended for candidates who understand that working with LLMs involves more than simply writing prompts. Professional LLM development requires knowledge of how language models generate responses, manage context, use external knowledge, produce structured outputs, integrate with applications, and handle reliability, cost, latency, and security. The assessment covers both the fundamental concepts behind Large Language Models and the practical skills required to build LLM-powered applications. Candidates may be tested on transformer architecture, tokens, embeddings, context windows, prompting strategies, Retrieval-Augmented Generation (RAG), vector databases, fine-tuning concepts, evaluation, hallucination reduction, function calling, structured outputs, and production deployment considerations. Questions are designed to test practical understanding and technical reasoning. Candidates may be presented with real-world scenarios involving incorrect model responses, outdated knowledge, poor retrieval quality, excessive token usage, unreliable structured data, or security concerns in an LLM-powered system. This assessment is suitable for developers, AI engineers, automation specialists, and technical professionals working with modern language-model applications.
Questions
50
Duration
90 Mins
Passing
75%
Format
MCQ
Important Details
Strict Time Limit
You have exactly 90 minutes. Once started, the timer cannot be paused.
Passing Threshold
You must score 75% or higher to prove your skills and receive your certificate.
Retakes & Improvements
If you fail, or want to aim for a higher score, you can purchase a new exam session for ₹99.
Physical Print Delivery
Your digital certificate is included. If you want a professionally printed copy mailed to your door, it costs ₹399.
Detailed Report
Want to see which exact questions you missed? An optional detailed performance analysis is available after the exam for ₹29.
No Refunds
By paying, you provision secure server resources immediately. Payments are strictly non-refundable.
Who is this for?
Candidates should have a good understanding of programming and modern software development. Basic knowledge of Python or JavaScript is recommended, along with familiarity with APIs, JSON, and web applications. Previous experience using LLM APIs, AI platforms, automation tools, or building AI-powered applications will be helpful. A basic understanding of machine learning is useful but not mandatory. Candidates should, however, understand the difference between simply using a chatbot and building a reliable application around a language model. This assessment is suitable for candidates applying for roles such as: LLM Engineer AI Engineer Generative AI Developer Machine Learning Engineer AI Application Developer NLP Engineer AI Automation Specialist Prompt Engineer AI Solutions Developer
What you'll be tested on
Certificate Preview
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