Built for progress
Learn in modules, then certify
Work through the lessons in order, use the quizzes as checkpoints, and finish with a certificate-ready exam.
Apply your prompt engineering skills to real-world challenges. Build AI content pipelines, customer support bots, code review tools, RAG systems, and more through guided, hands-on projects.
Built for progress
Learn in modules, then certify
Work through the lessons in order, use the quizzes as checkpoints, and finish with a certificate-ready exam.
Lessons
10
8 modules in this track
Time
~3h
Self-paced reading and quizzes
Modules
Module 1
Build a multi-step AI content creation workflow that takes you from research to a fully optimized, publish-ready article.
Module 2
Design a production-ready system prompt for an AI customer support bot with tone control, guardrails, escalation logic, and FAQ handling.
Module 3
Build an AI-powered code review tool that uses API calls to automatically analyze pull requests for bugs, style issues, and security vulnerabilities.
Module 4
Learn to analyze data with ChatGPT and Claude — from describing datasets to extracting insights and creating visualizations, all through prompts.
Module 5
Build complete multi-email marketing sequences using AI email marketing prompts — from audience analysis through A/B testing and follow-ups.
Module 6
Build a complete Retrieval-Augmented Generation pipeline — from document chunking and embedding through retrieval and answer synthesis — in this RAG tutorial prompt engineering project.
Document Chunking & Embedding
Learn to split documents into optimal chunks and generate vector embeddings — the foundation of any RAG tutorial prompt engineering workflow.
Retrieval & Answer Synthesis
Complete the RAG pipeline: retrieve relevant chunks, craft synthesis prompts, and generate grounded answers with citations.
Module 7
Optimize your resume with AI — analyze job descriptions, extract keywords, rewrite bullet points, score for ATS compatibility, and generate tailored cover letters.
Module 8
Build a red-teaming framework for prompt injection testing — identify attack vectors, craft adversarial test prompts, evaluate defenses, and harden system prompts.
Identifying Attack Vectors & Crafting Test Prompts
Learn the taxonomy of prompt injection attacks and build a systematic test suite for prompt injection testing against your AI applications.
Hardening System Prompts Against Attacks
Learn defense techniques to harden your system prompts: input validation, output guardrails, layered defense, and iterative red-team hardening.
Complete every lesson in the Real-World Projects track and pass the certification exam to earn a verifiable certificate.