Applied Generative AI & Prompt Engineering

Course Objectives

By the end of the course, participants will:

Overview

This immersive summer school takes a deep dive into Generative AI across text, code, images, and audio. You’ll go beyond just learning prompt techniques—by the end of 10 days, you’ll have built and presented your own GenAI applications. Designed for aspiring tech professionals, designers, entrepreneurs, and engineers, this course combines lectures, labs, guest speakers, and team-based challenges.

General information

Topics Covered

Generative AI Foundations

LLMs, diffusion models, transformer architecture, embeddings, and tokenization.

Prompt Engineering Techniques

Role prompting, chain-of-thought, few-shot, retrieval-augmented generation (RAG).

Multi-Modal Generation

Using GenAI for images (Midjourney, DALL·E), audio, and code generation.

Tool Integration & Automation

Connecting GenAI with APIs, spreadsheets, no-code tools (Zapier, Notion, etc.).

Use Cases & Ethics

Business automation, creative industries, risks of misinformation, IP issues.

Daily Schedule

Day 1: Intro to Generative AI & LLMs

  • Foundation of LLMs, hands-on with ChatGPT & Claude, exploring capabilities

Day 2: Prompt Engineering Fundamentals

  • Prompt design patterns, prompt tuning, hands-on prompt challenges

Day 3: Advanced Prompting & Use Cases

  • Role prompting, agents, use in writing, marketing, research

Day 4: Multi-modal AI – Image & Audio

  • Tools like Midjourney, DALL·E, and AI voice generation

Day 5: GenAI for Code & Automation

  • Copilot, GPT-4 for code, integrating with tools like Zapier or Notion

Day 6: Retrieval-Augmented Generation (RAG)

  • Vector databases, embeddings, using context and memory with LLMs

Day 7: Group Project Ideation & Tooling

  • Form teams, select project idea, access APIs and dev tools

Day 8: Project Build Sprint – Part 1

  • Implementation, mentor support, MVP creation

Day 9: Project Build Sprint – Part 2

  • Testing, iteration, demo prep, feedback rounds

Day 10: Final Presentations & Career Panel

  • Presentations to peers/guests, Q&A, AI careers + wrap-up session

Who Should Apply?

Learning Format

Academic Credits & Certificates

Participants will receive a Certificate of Completion, with a learning transcript. Many institutions accept this course as equivalent to 3 ECTS credits for entrepreneurship modules.

Course Fee

£1250 – Includes tuition, learning materials, certificate, and access to activities. Accommodation and visa support available separately.