Udemy

Build AI Tools: GPT Projects, RAG++ & Web App

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  • 270 Students
  • Updated 11/2025
  • Certificate Available
4.7
(29 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
10 Hour(s) 49 Minute(s)
Language
English
Taught by
Lonely Pineapple AI Studios | Nidia Sukhu | Automation Engineer/LLM Specialist
Certificate
  • Available
  • *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Rating
4.7
(29 Ratings)

Course Overview

Build AI Tools: GPT Projects, RAG++ & Web App

Hands-on GPT projects • Build a full RAG++ system • Convert your code into a Streamlit app • Learn GPT-assisted coding

Build Real AI Tools — Even If You're New to Coding

This course teaches you how to build practical, real-world AI tools using GPT and Python — step by step, project by project. You’ll start with simple, fast-win GPT apps (like a Recipe Generator), then move on to applied projects for marketing, storytelling and finance.

Finally, you’ll build a complete RAG++ Travel Planner, integrating live weather data, Google Places API, custom logic, and GPT-generated itineraries.

  • Once the project is complete, you’ll learn a modern 2025-ready skill:
    How to let GPT generate your code
    How to turn your RAG system into a full Streamlit web app
    How to use GPT as your coding assistant and debugging partner

This means you get BOTH:

  • a grounded understanding of how the system works, and

  • the speed + confidence that come from GPT-assisted coding.

WHAT YOU WILL LEARN

  • Build real AI tools using GPT and Python

  • Create your first GPT apps in minutes (beginner-friendly)

  • Understand the RAG (Retrieval-Augmented Generation) workflow

  • Build a full RAG++ Travel Planner with weather + places + GPT

  • Use OpenAI’s API effectively in real projects

  • Turn Python code into a Streamlit web app (GPT writes most of the UI code)

  • Use GPT as your coding assistant to generate, debug, and improve your code

  • Build applied AI tools for marketing, finance, storytelling and more

  • Work confidently in Google Colab (no local installs needed)

  • Earn verified badges you can share on LinkedIn

HANDS-ON PROJECTS YOU WILL BUILD

  • Recipe Generator (GPT mini-project)

  • Storytelling Engine

  • Marketing Copy Builder

  • Finance Sentiment Analyzer

  • Full RAG++ Travel Planner using APIs + GPT

  • A Streamlit Web App built from your RAG++ engine (GPT-generated code)

WHY THIS COURSE IS DIFFERENT

Most AI courses either stay in notebooks or dive into theory.
This course is project-first, practical, and modern:

  • Quick dopamine wins early on

  • A large, advanced project (RAG++) later on

  • GPT helps you write and debug your code

  • You finish with a real AI web app you can share

  • All concepts are broken down in simple, clear steps

  • No installs required (everything in Colab)

BADGES & CERTIFICATE

You will earn verified badges for key skills and a certificate of completion, which you can showcase on LinkedIn, your CV, or your portfolio.

This is perfect for beginners, career changers, creators, and business owners who want to build real AI tools fast — without drowning in theory.

Enroll today and start building your own AI apps.

Course Content

  • 15 section(s)
  • 106 lecture(s)
  • Section 1 Introduction
  • Section 2 Intro: NLP, Data Science & Machine Learning - Are they different?
  • Section 3 NLP Pipeline
  • Section 4 Demystifying GPT Math: Cosine Similarity, Attention & Embeddings Made Simple
  • Section 5 Essential Setup for Google Colab: A Step-by-Step Guide (Must-Watch)
  • Section 6 Learn to Use OpenAI API with GPT-4: A Hands-On Recipe Generator Project
  • Section 7 Interactive Storytelling with GPT-4: Be An Author And Create Your Own Adventure
  • Section 8 Financial Investment Risk Analysis with LLMs: Sentiment and Entity Recognition
  • Section 9 Create a Personalized Travel Itinerary Using RAG++ with GPT-4 and APIs
  • Section 10 Python: A Beginner's Guide (Optional)
  • Section 11 Named Entity Recognition (NER) with SpaCy: Concept & Practical Project
  • Section 12 Understanding Part-of-Speech Tagging & Syntactic Parsing in NLP
  • Section 13 Tokenization & Regular Expressions
  • Section 14 Understanding Linguistic Grammar Rules and Parse Trees in NLP
  • Section 15 Create A Netflix Recommendation System

What You’ll Learn

  • Build real AI apps using GPT + Python, starting with simple tools and progressing to more advanced projects
  • Use GPT as your coding assistant to generate, debug, and build working Python code — even if you're new
  • Build a full RAG++ Travel Itinerary system combining APIs + GPT + retrieval logic
  • All lectures have Subtitle options: English, Mandarin, Spanish, French, Hindi, Arabic
  • Create a Recipe Generator, Story Generator, Marketing Generator, and other interactive GPT apps
  • Turn your RAG project into a mini web app (streamlit) without complex setups
  • Scrape websites, clean the data, and build a chatbot trained on your custom dataset
  • Perform sentiment-based financial analysis with Python, NewsAPI, spaCy, and GPT
  • Earn LinkedIn-ready accredited badges in GPT, NLP, and Python fundamentals
  • Linguistics Foundation To Help Learn NLP Concepts
  • Use Matplotlib to Output A Visual Graph To Illustrate Financial Risk of Investing In Companies


Reviews

  • S
    Sony Kartika Wibisono
    3.5

    intonation is not clear, explanation is also not clear enough

  • B
    Boaz Nathan
    3.5

    to many analogoes

  • r
    ramyun quirka
    5.0

    very informative and highly recommends

  • D
    Derek Kuttikkat
    5.0

    Always wanted to know the inner workings of real world systems like Netflix. The instructor has simplified it so well that I could do it my self. My first project completed on the topic! Massive thanks.

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