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Data & AI

✨ GenAI & Prompt Engineering

A practical, fast-moving course in working with today's AI tools — from effective prompting to building your own simple LLM-powered application.

⏱ 6 weeks 💻 Online / Offline 🔧 Capstone project 🎓 Completion certificate
In shortGenerative AI and Prompt Engineering teaches you to effectively use and build with large language models — from writing effective prompts to building simple AI-powered applications, no prior AI experience required.

Course Curriculum

01

Foundations of Generative AI

What large language models are, how they work conceptually, and their capabilities and limitations.

02

Prompt Engineering Fundamentals

Prompt structure, few-shot examples, chain-of-thought prompting and fixing common failure modes.

03

Working with AI Tools Practically

Using leading AI assistants for writing, research, coding assistance and data analysis.

04

Introduction to LLM APIs

Calling LLM APIs from code, and understanding tokens, cost and rate limits.

05

Building Simple AI Applications

A basic chatbot or content generator project using Python and an LLM API.

06

Retrieval-Augmented Generation Basics

Connecting LLMs to your own documents and data; an introduction to vector databases.

07

Capstone Project

Build and present one working AI-powered mini-project end to end.

Frequently Asked Questions

Do I need to know coding for this course? +
No — the first half covers prompt engineering and AI tools with no coding required. The application-building modules introduce basic Python as you go.
How is this different from your Machine Learning course? +
ML focuses on building models from data. This course focuses on using and building with existing large language models — a faster-to-apply, more broadly useful skillset for most current roles.
Who is this course for? +
Developers adding AI skills, marketers and content creators, students, and working professionals wanting practical AI fluency.

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