MarketplaceDevelopmentAI & Prompt Engineering
Master Large Language Model mechanics, the 5-Part Prompt Framework, multi-document research synthesis, custom system prompts, and agentic AI workflows.
Created by Crestily Academy · Lead Faculty: Dr. Elena Vancec/ai-for-beginners (0 members)
Last updated 3 days agoEnglishBeginner
6 sections · 21 lectures · 4h 45m total length
Stop getting generic, repetitive answers from AI—and learn how to engineer accurate, expert-grade results across research, writing, data analysis, and multi-step agentic workflows.
Most people use tools like ChatGPT, Claude, and Gemini the same way they use a search engine: they type a short, vague sentence, hope for the best, and spend 20 minutes fixing a robotic response. AI for Beginners: Prompt Engineering & Practical Workflows is a comprehensive, 6-module practitioner program that gives you a repeatable engineering system to turn modern Large Language Models into a reliable daily productivity multiplier—with zero coding or technical background required.
Generative AI is the fastest-adopted workplace capability in history, yet the gap between casual chat users and structured prompt practitioners is massive. When you understand how tokens, context windows, attention weights, and probability distributions actually work under the hood, you stop guessing and start designing predictable, hallucination-resistant workflows for executive research, persuasive writing, structured data extraction, and autonomous agentic loops.
Official Course Community · 0 members
Exchange tested prompt templates, Role + Context + Format workflows, research automation pipelines, and everyday AI productivity setups.
Lead AI & Workflow Engineering Faculty
4.9 instructor rating910 track learners21 lectures · 4h 45m curriculum
Dr. Elena Vance leads Crestily Academy's Applied AI curriculum. With a background in human-computer interaction and enterprise automation, she has trained thousands of non-technical professionals to design reliable Role + Context + Format prompt systems, automate research synthesis, and audit AI outputs for accuracy.