Prompt Engineering & Generative AI
The newest and most unique skill of 2026 — and almost no one is teaching it yet. Learn how to communicate with, direct, and build workflows using AI tools like ChatGPT, Claude, and Midjourney. Turn AI from a curiosity into a career advantage.
About This Course
Generative AI has changed the way professionals work across every industry — from software development and content creation to design, research, and business operations. But using AI tools effectively is itself a skill, and the people who master it are already gaining a significant edge in the job market.
Prompt Engineering is the discipline of crafting precise, structured inputs that get the best possible outputs from large language models and image generation tools. It sounds simple — but done well, it is the difference between a generic AI response and a genuinely useful, accurate, and creative result.
This 3-week course is open to students from any branch, with no technical prerequisites. You will learn how large language models work at a conceptual level, how to write effective prompts for a wide range of tasks, how to build practical AI-powered workflows for real work, and how to use image generation tools like Midjourney to create professional visuals.
This is currently one of the rarest skills being taught in any structured course format — which means early learners have a significant advantage. Whether you want to use AI to accelerate your own career, build AI-powered products, or position yourself as an AI specialist in your organization, this course gives you the foundation to do it.
Curriculum Highlights
Week 1 — How Generative AI Works
What are large language models (LLMs) and how do they generate text; overview of major AI tools: ChatGPT, Claude, Gemini, Midjourney, DALL-E; tokens, context windows, and model behavior; zero-shot, one-shot, and few-shot prompting; common prompt mistakes and how to fix them
Week 2 — Advanced Prompt Engineering
Chain-of-thought prompting for complex reasoning; role-based prompting: assigning personas to AI; structured output prompting: JSON, tables, reports; prompt templates for recurring tasks; AI for coding: writing, debugging, and explaining code with ChatGPT; AI for writing, summarization, and research
Week 3 — Generative AI Workflows & Image Generation
Building multi-step AI workflows for real tasks; Midjourney prompting: style, lighting, composition, and parameters; DALL-E and AI image generation for marketing and design; AI tools for productivity: Notion AI, Canva AI, GitHub Copilot overview; building a simple AI-powered workflow project; future of AI and career opportunities in the GenAI space
What You'll Achieve
Understand how large language models and generative AI tools work
Write highly effective prompts for text, code, and creative tasks
Build practical AI-powered workflows that save time and improve output quality
Use Midjourney and image generation tools for professional visuals
Apply AI tools across domains: writing, coding, research, design, and marketing
A project-based portfolio demonstrating AI workflow skills
Positioned ahead of peers in an emerging and rapidly growing skill area
