Udemy
Generative AI : LLM, Fine-tuning, RAG & Prompt engineering
Artificial Intelligence · IT & Software
Library / Artificial Intelligence
On Udemy
Artificial Intelligence is changing how software, business, research, education, and productivity tools are built. But many AI courses spend too much time on theory and not enough time building practical applications.
This course is different.
In this hands-on 7-day AI bootcamp, you will learn modern AI by building real projects from scratch. You will start with a simple AI assistant, then move into prompt engineering, AI-powered applications, PDF chat using RAG, autonomous agents, multi-agent workflows, and a final deployable AI knowledge base assistant.
This course is designed for beginners to intermediate learners who want practical AI skills without getting lost in heavy machine learning theory. You do not need a deep math or data science background. The focus is on building working AI applications using tools that developers, students, analysts, managers, and entrepreneurs can use immediately.
Throughout the bootcamp, you will build seven practical projects:
Prompt Engineering PlaygroundAI Resume AnalyzerPDF Chat Assistant with RAGAutonomous Research AgentMulti-Agent Content TeamAI Knowledge Base Assistant with Docker
By the end of this course, you will understand how modern AI applications are structured, how to work with LLMs, how to write better prompts, how to build RAG pipelines, how AI agents work, and how to package an AI app for deployment.
This is not just a theory course. Every day includes a hands-on lab and a portfolio-ready deliverable.
Understand modern AI, Generative AI, and Large Language Models
Build your first AI assistant using Python and Streamlit
Write stronger prompts using roles, rules, context, and output formats
Build a prompt engineering playground
Extract text from PDF, TX
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Udemy: 2026-09-27 · Coursera: 2026-09-27
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