Generative AI

LLMs, prompt engineering, RAG and building AI-powered products on top of today's foundation models.

intermediate~30 hours13 topics~27h of lessonsRoadmap Level 5

AI is reshaping what software can do — understanding its limits and uses is a modern CS essential.

RECOMMENDED BEFORE THIS
○ Python Programming○ Deep Learning

These are suggested first. You can still open any topic — this only helps you pick an order.

Prerequisites:Python ProgrammingDeep Learning
Learning Path
07 stages
13 topics · 7 stages0/13 completed
01

Fundamentals

Start from zero. Build the vocabulary.

How Generative AI Works~60 minbeginnerThe LLM Landscape~45 minbeginner
02

Core Concepts

The ideas you cannot skip.

Prompt Engineering~90 minintermediateWorking with LLM APIs~75 minintermediateRetrieval-Augmented Generation (RAG)~120 minadvanced
03

Intermediate

Connect ideas and go deeper.

Embeddings and Semantic Search~90 minintermediateVector Databases~60 minintermediateAgents and Tool Use~90 minadvanced
04

Advanced

Beyond the basics.

Fine-tuning vs RAG~90 minadvancedSafety, Hallucinations and Evaluation~75 minadvanced
05

Practice

Solve problems until it sticks.

Practice: Build LLM Features~240 minintermediate
06

Projects

Apply everything in real work.

Project: AI Product~480 minadvanced
07

Interview Prep

Convert knowledge into offers.

Generative AI Interview Questions~90 minadvanced