Validate your AI skills with 200 practice scenarios on Few-Shot prompting, Hallucination mitigation, RAG, and APIs.
Sub Category
- Other IT & Software
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Objectives
- Master advanced prompt structuring techniques, moving beyond zero-shot prompts to utilize Few-Shot and Chain of Thought (CoT) reasoning.
- Mitigate AI "hallucinations" and ensure factual accuracy by implementing structured System Prompts, persona constraints, and output formatting (like strict JSON
- Understand the backend mechanics of Large Language Models (LLMs), including adjusting API parameters like Temperature, Top-P, and Context Window tokenization.
- Distinguish between use cases for basic Prompt Engineering, Fine-Tuning, and building enterprise-grade Retrieval-Augmented Generation (RAG) architectures.
Pre Requisites
- A basic understanding of what a Large Language Model (like ChatGPT) is. No advanced coding experience is required, though familiarity with writing basic instructions will help you grasp the scenarios faster.
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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