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Generative AI Engineering

Master Transformers, RAG architectures, Fine-tuning, and Guardrails to build enterprise GenAI systems.

4.8
(1,240 ratings)8,420 students
Created by AI School Instructor Team
Last updated 8/2026
English [Auto]

What you'll learn

Build, evaluate, and deploy production-ready GenAI-powered applications
Implement full-stack Retrieval-Augmented Generation (RAG) with vector databases
Master advanced prompt engineering patterns (Few-shot, CoT, structured JSON)
Apply fine-tuning (LoRA / PEFT) & custom dataset creation workflows
Implement enterprise guardrails, PII masking, and anti-jailbreak defenses

Course Curriculum & Modules

8 Modules Total

🔒 Module overview and core resources are locked. Pay and enroll in the cohort to unlock full materials.

Lessons:
What is Generative AI?
🔒 Core notes, hands-on notebooks, and video session are locked.
20 min
Transformer Architecture Intuition
🔒 Core notes, hands-on notebooks, and video session are locked.
35 min
Model Families & Trade-offs
🔒 Core notes, hands-on notebooks, and video session are locked.
25 min
Setting Up Your Dev Environment
🔒 Core notes, hands-on notebooks, and video session are locked.
30 min
Quiz 1: GenAI Foundations (12 Questions) 🔒
End-of-Course Capstone

Production Document Intelligence & RAG System

🔒 The capstone project involves designing, building, and deploying a production-grade enterprise application. Cohort students receive 1-on-1 code reviews and sandbox hosting credits. Pay and enroll to unlock Capstone instructions.

Capstone Deliverables:
4 Capstone Deliverables (Locked — Pay to unlock)
Grading Rubric (100 Points Total)
30 pts
Architecture & Retrieval Pipeline Design
25 pts
Evaluation Metrics & Quality Benchmark
25 pts
Guardrails, PII Handling & Safety Checks
20 pts
Code Quality, Modularity & Documentation
Summative Evaluation

GenAI Engineering Final Certification Exam

Exam Duration
90 Minutes
SectionNameQuestionsPointsType
ACore Concepts15 Qs30 ptsMCQ / Multi-select
BApplied Scenarios10 Qs30 ptsScenario-based MCQ + Short Answer
CDebugging & Trace Analysis8 Qs25 ptsLog & trace root-cause identification
DSystem Design Question1 Qs15 ptsRubric-graded architectural design
Sample Section D System Design Prompt:
"Your company wants an internal RAG assistant over 50,000 support tickets that must never leak PII in its answers and must cite sources. Outline your architecture: chunking, retrieval, generation, and guardrail approach."
Generative AI Engineering
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This course includes:
  • 8 modules breakdown
  • 2 modules/week (~4–5 hrs/week) learning pace
  • Full text read-along with synced audio reader
  • Module → Lesson → Quiz → Assignment curriculum layout
  • Official PDF Certificate of completion

Interactive Quiz Preview

Test your knowledge with sample formative questions from the curriculum question bank.

Quiz Sandbox Locked

Interactive quiz testing is available only for enrolled students of this cohort.