課程資料
- 可獲發
- *證書的發放與分配,依課程提供者的政策及安排而定。
課程簡介
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.
課程章節
- 15 個章節
- 106 堂課
- 第 1 章 Introduction
- 第 2 章 Intro: NLP, Data Science & Machine Learning - Are they different?
- 第 3 章 NLP Pipeline
- 第 4 章 Demystifying GPT Math: Cosine Similarity, Attention & Embeddings Made Simple
- 第 5 章 Essential Setup for Google Colab: A Step-by-Step Guide (Must-Watch)
- 第 6 章 Learn to Use OpenAI API with GPT-4: A Hands-On Recipe Generator Project
- 第 7 章 Interactive Storytelling with GPT-4: Be An Author And Create Your Own Adventure
- 第 8 章 Financial Investment Risk Analysis with LLMs: Sentiment and Entity Recognition
- 第 9 章 Create a Personalized Travel Itinerary Using RAG++ with GPT-4 and APIs
- 第 10 章 Python: A Beginner's Guide (Optional)
- 第 11 章 Named Entity Recognition (NER) with SpaCy: Concept & Practical Project
- 第 12 章 Understanding Part-of-Speech Tagging & Syntactic Parsing in NLP
- 第 13 章 Tokenization & Regular Expressions
- 第 14 章 Understanding Linguistic Grammar Rules and Parse Trees in NLP
- 第 15 章 Create A Netflix Recommendation System
課程內容
- 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
此課程所涵蓋的技能
評價
-
SSony Kartika Wibisono
intonation is not clear, explanation is also not clear enough
-
BBoaz Nathan
to many analogoes
-
rramyun quirka
very informative and highly recommends
-
DDerek Kuttikkat
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.