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Prompt Engineering & GenAI: Master Practice Tests
New
305 students

Prompt Engineering & GenAI: Master Practice Tests

Master ChatGPT, Midjourney, and LLM output control with exams on Few-Shot prompting, RAG, and Hallucination mitigation.
Last updated 5/2026
English

What you'll learn

  • Evaluate your Prompt Engineering skills, mastering Zero-Shot, Few-Shot, and Chain-of-Thought (CoT) prompting techniques.
  • Test your ability to Control AI Outputs, managing Model Temperature, Top-P, Context Windows, and JSON formatting.
  • Assess your AI Image Generation proficiency, utilizing Midjourney aspect ratios (--ar), seed locking, and generative inpainting.
  • Validate your grasp of AI Ethics and Use Cases, navigating copyright laws, deepfake detection, and data privacy with public LLMs.

Included in This Course

200 questions
  • Prompt Engineering & GenAI: Master Practice Tests Set-150 questions
  • Prompt Engineering & GenAI: Master Practice Tests Set-250 questions
  • Prompt Engineering & GenAI: Master Practice Tests Set-350 questions
  • Prompt Engineering & GenAI: Master Practice Tests Set-450 questions

Description

Everyone knows how to type a question into ChatGPT. But typing "Write a blog post" usually results in a generic, robotic, and boring response. The true power of Generative AI is only unlocked when you know how to engineer the prompt. Do you know how to use "Chain-of-Thought" reasoning to force an AI to solve complex math? Do you know how to lock a "Seed Value" in Midjourney so your AI character looks exactly the same across 50 different images? The Prompt Engineering & GenAI: Master Practice Tests course is designed to take you from a casual AI user to an advanced Prompt Engineer.

This course throws out the coding jargon and focuses entirely on the logic of communicating with AI. Across four massive sets of mock exams, you will face completely unique prompting challenges. First, you will tackle core Prompt Engineering Techniques, learning the difference between Zero-Shot and Few-Shot prompting. Next, you will dive into Output Control. You will test your ability to stop AI "hallucinations" by adjusting Temperature settings and enforcing strict JSON output formats.

Moving into the visual realm, the third section rigorously tests your AI Image Generation skills. You will be challenged on Midjourney aspect ratios, photographic camera prompts, and using generative fill to fix bad AI hands. Finally, we cover the real world: Generative AI Use Cases & Ethics. You will be tested on data privacy, copyright law, and understanding how Retrieval-Augmented Generation (RAG) works for corporate chatbots. Every question features a detailed explanation to ensure you truly learn how to master the machine.

Basic Info:

  • Course locale: English (India)

  • Course instructional level: Beginner to Intermediate

  • Course category: IT & Software

  • Course subcategory: Artificial Intelligence


Who this course is for:

  • Marketers, Writers, and Managers looking to 10x their productivity using Generative AI. Aspiring "Prompt Engineers" who want to understand the mechanics behind how Large Language Models (LLMs) think. Anyone who is frustrated by AI "hallucinations" and wants to learn how to force AI models to output factual data.