Secure 3-Step Process
AI Solutions Engineering - Skill Assessment
This assessment is designed to evaluate the technical and practical skills required to work as an AI Solutions Engineer. An AI Solutions Engineer is responsible for turning AI capabilities into useful, reliable solutions for real business and technical problems. The role requires more than knowing how to use a language model or connect an API. A strong candidate should understand how to analyse requirements, select appropriate technologies, design solution architecture, integrate AI models with existing systems, manage data, evaluate results, and deploy solutions into production. This assessment focuses on real-world AI solution development. Candidates will be tested on how different components work together, including Large Language Models, APIs, Retrieval-Augmented Generation (RAG), vector databases, automation workflows, backend integration, structured outputs, security, performance, monitoring, and system reliability. The assessment also evaluates decision-making. Candidates may be presented with situations such as an AI system producing inaccurate answers, a RAG system retrieving irrelevant information, an API integration failing, costs increasing unexpectedly, or sensitive data being exposed. The candidate should understand how to identify the underlying problem and choose an appropriate technical solution. This is intended for professionals who build AI-powered applications, business solutions, internal tools, customer-facing systems, and automated workflows.
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 practical knowledge of software development and modern AI technologies. Experience with at least one programming language such as Python or JavaScript is recommended. Candidates should understand APIs, JSON, HTTP requests, databases, and basic application architecture. Hands-on experience with LLM APIs, AI automation, RAG systems, vector databases, backend integration, or AI-powered applications will be highly beneficial. A strong candidate should also understand that the right AI solution depends on the business problem. Not every problem requires a Large Language Model, and candidates should be able to choose practical solutions based on accuracy, cost, latency, security, and maintainability. This assessment is suitable for candidates applying for roles such as: AI Solutions Engineer AI Engineer Generative AI Engineer AI Application Developer AI Integration Engineer LLM Engineer AI Automation Engineer AI Solutions Architect Intelligent Automation Developer
What you'll be tested on
Certificate Preview
Pass the test to receive a high-resolution, globally verifiable digital certificate.
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Professional Credential