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Professional Certification

Prompt Engineering - Skill Assessment

Assess your practical knowledge of prompt engineering and modern generative AI systems, including prompt structure, instruction design, context management, few-shot prompting, role prompting, structured outputs, reasoning strategies, tool usage, prompt evaluation, hallucination reduction, and AI workflow design. This assessment is designed to test the practical skills required to create reliable, precise, reusable, and effective prompts for large language models and AI-powered applications.

Questions

50

Duration

75 Mins

Passing

75%

Format

MCQ

Exam Fee
₹ 49.00
Digital Certificate Included

Important Details

Strict Time Limit

You have exactly 75 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?

Basic knowledge of generative AI and general computer usage is recommended. Candidates should understand how to communicate instructions clearly and have basic familiarity with AI chatbots or large language models. Programming knowledge is helpful but not mandatory.

What you'll be tested on

Prompt Engineering
Generative AI
Large Language Models
LLMs
Prompt Structure
Instructions
Context
User Intent
System Prompts
Role Prompting
Task Decomposition
Zero-Shot Prompting
One-Shot Prompting
Few-Shot Prompting
Example Selection
Chain of Thought Concepts
Step-by-Step Reasoning
Structured Reasoning
Prompt Chaining
Self-Consistency
ReAct Concepts
Context Engineering
Context Windows
Tokenization
Tokens
Temperature
Top-P
Model Parameters
Output Constraints
Structured Outputs
JSON Outputs
Schema Based Responses
Prompt Templates
Variables
Dynamic Prompts
Prompt Optimization
Prompt Iteration
Prompt Testing
Prompt Evaluation
Evaluation Criteria
Accuracy
Relevance
Consistency
Grounding
Hallucination Reduction
Fact Verification
Retrieval Augmented Generation
RAG Basics
Embeddings Basics
Vector Databases Basics
Tool Calling
Function Calling
AI Agents
Workflow Automation
Multimodal Prompting
Image Prompting
Text Generation
Summarization
Classification
Extraction
Transformation
Translation
Coding Prompts
Debugging Prompts
SQL Prompts
Data Analysis Prompts
Security
Prompt Injection
Jailbreak Awareness
Sensitive Data Handling
Output Validation
Guardrails
AI Safety
API Based Prompting
Production Prompt Design

Certificate Preview

Pass the test to receive a high-resolution, globally verifiable digital certificate.

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Professional Credential

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