Targeted Training

NFT 探索家

在12星期內掌握 NFT 技術，由基礎概念、商業應用到區塊鏈工程，逐步學懂如何由零開始打造你自己的 NFT Project

以區塊鏈科技顛覆傳統創意產業

此課程由專業 NFT 製作團隊為你提供開發 NFT Project 所需的編程技能及商業知識。每星期一節2小時，在假日早上進行，一共12星期。由編寫 NFT 智能合約到 Blockchain 上架，完成課程後你會懂得如何由零開始打造你自己的 NFT Project。

深入學習 NFT 技術打破 Web3 迷思

課程編號： w301
單元總數： 單元
教學語言： 廣東話

價錢： $8500/12 節
自習時間： 每星期1至2小時
適合： 對創意藝術、區塊鏈、金融科技及虛擬資產投資有興趣的人士

立即報名

聯絡我們

學生評語

課程大綱

我們傳授的不只是知識，而且是在職場上極具價值的編程技能

單元一: Web3 概觀

目標: 了解什麼是 Web3 及時下熱門應用

課題一: 區塊鏈技術 - 學習 Web3 背後基礎技術的運作原理

課題二: Bitcoin 及 Ethereum - 學習現時區塊鏈上兩個大項目的運作模式及發展

課題三: Altcoins - 學習熱門區塊鏈應用如 GameFi, DeFi 及 DApp

課題四: NFT - 學習識別優質 NFT 項目及 NFT 生態圈包括二手交易市場 (例如 OpenSea)

課題五: DAO - 學習區塊鏈如何讓決策過程非中心化及自動化

單元二: 加密貨幣錢包概觀

目標: 了解加密貨幣錢包的運作原理及保安技術

課題一: 公共和私人密鑰 - 學習加密貨幣錢包的基礎技術

課題二: 冷錢包及熱錢包 - 學習不同加密貨幣錢包的優點及限制 (例如 MetaMask)

單元三: Solidity 編程

目標: 學習設計智能合約的熱門編程語言

課題一: 語法 - 學習 Solidity 的基礎語法

課題二: 數據格式 (Data Types) - 學習不同的數據格式如 boolean, address, bytes 及 strings

課題三: 變數 (Variables) 和函數 (Function) - 定義 variables 及編寫 function

課題四: 類別 (Class) 和建構 (Constructor) - 設定智能合約的 state variables

課題五: 數組 (Arrays) - 建立固態及動態 arrays 以儲存多組數據

課題六: 儲存 (Storage) 和記憶體 (Memory) - 定義 variables 的儲存地址

單元四: Ethereum NFT 智能合約

目標: 學習如何設計 Ethereum NFT 智能合約

課題一: Remix - 運用 IDE 開發，部署及管理智能合約

課題二: 分佈式檔案系統 - 運用分佈式檔案系統儲存及分享 NFT 數據 (例如 IPFS)

課題三: NFT 協定 - 運用基本及進階 NFT 協定設計 Ethereum NFT 智能合約 (例如 ERC721)

課題四: Etherscan - 查詢區塊鏈上的數據如每單交易，區塊 (block)，錢包地址及智能合約

單元五: 技術及商業分析

目標: 透過案例學習如何從智能合約及投資者角度分析加密貨幣及 NFT 項目

課題一: 寶石項目 - 學習如何發掘藍籌項目

課題二: 騙局項目 - 識辨警號以避免墮進騙局項目

單元六: UI及區塊鏈連接

目標: 學習如何連接 NFT 智能合約及前端程式

課題一: React - 運用 React 及 MetaMask 連接網頁及區塊鏈

單元七: 建立你自己的 NFT 項目

開發: 運用課堂所學建立你的第一個 NFT 項目

演講: 向在場的 NFT 愛好者展示你的作品

課程結構

最高價值的12節課堂

8 講課

在講課中你會學習所有必需的概念。講課聽起來很沉悶，DANGER 的講課卻是例外! 上課時請帶備你的電腦，在每一節課90%時間你都需要在所學的知識上動手指。

4 親自動手

你會在我們設計的行業實例上練習講課所學的技能。要真正學懂數據科學，你必需經歷這些難題。

課程特色

超越網上課程及你的預期

即時交流

網上課程預先為你提供沒有錯誤的程式。我們的教學團隊則為你提供即時指導去解決編程時遇上的錯誤及難題。透過緊密交流，我們確保每位學生都能跟上進度 (即使你是遙距上課）

運算思維

在學習編程的過程中，思維方式比熟讀語法更為重要。我們認為運算思維是編程中最高價值的元素。我們以運算思維為主的課程會帶領你以正確的方式學習數據科學及編程。

電腦是非常快速、準確和愚蠢。人類是非常緩慢、失誤多和聰明。兩者的結合是一股無法估計的力量。

Leo Cherne

現正招生

哪個時段比較適合你?

暫無排程，請留意我們的開班公布。

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Through participating in Danger Education’s courses such as Python Explorer and Python Practitioner, I can learn some basic Python programming knowledge and how to manipulate python libraries to analyse data. The teachers are patient and willing to teach us to solve our problems.

Tony Or - Python Student since Dec 2020

Being someone who have no background in programming and computer science, It's hard to figure out how to make a career switch into data science. Danger education provides the "Zero to Hero" pathway at an affordable rate.

Anthony Leung - Python and SQL Student since Feb 2021

As a HR professional, with growth of HR cloud applications, people analytics are becoming vital for all aspects of operational improvement to drive business goals. With my knowledge of Python instructed by Danger, I am able to analyse people's data moving away from Excel. Courses from Python Explorer, Python Practitioner and Python Machine Learning prepared me with real life examples on how we analyse data from scratch. Instructors are friendly and nice like friends which provide a comfortable environment to learn coding even though I had absolutely no idea on coding. I am happy to have joined the world of Python with Danger Education.

Coco Mak - Python and Machine Learning Alumni since Aug 2020

Jason is a professional instructor who is knowledgeable and patient enough to walk me through the coding process. The course consolidated my mathematical foundation, as well as practical coding fundamentals (like how to use python to call on different functions), which are all deemed to be the stepping stones to become a successful data scientist. I sincerely recommend this course to those who are interested in learning data science.

Cathy Kam - Python and Machine Learning Alumni since Aug 2020

Pretty awesome tutorial, start from the basics concept, broad and expounds the necessary knowledge with a specific framework and sufficient reference content, case studies, and project for students to practice. Suitable for beginners to find directions here.

Ar Chu - Python Student since Jan 2021

Having completed all courses in Danger Education, I become an experienced data analyst. The teachers are so helpful and well prepared. They gave us thorough and comprehensive notes and practice. In addition, they presented so well that even some complicated concepts could be well digested. The machine learning course help me further understand what data scientists’ work. This course is recommended for all people who are just beginners or even junior data analysts/programmers to better gain knowledge of data science.

Charlie Yeung - Python and Machine Learning Alumni since Apr 2020

Danger teaches me the skills in coding, but more importantly, it provides capable tools to discover another side of language. As a researcher in humanities, I had a preliminary understanding of Natural Language Processing through the Machine Learning Explorer course. Now I’m planning to apply my Python skills to my linguistic research.

Max Lee - Python and Machine Learning Alumni since Sep 2019

The series of Data Science courses in Danger Education is well-structured and organized. The trainers are knowledgeable and manage to provide valuable insights of coding skills and data science world in practice. The courseware contents are very rich and can pinpoint the key learning areas of different topics with real life applications. The excellent quality of teaching is of the greatest attraction. Thank you again for offering such a high quality of Data Science journey!

Steven To - Python and Machine Learning Alumni since Oct 2020

This course is well designed to let students understand the basic syntax of Python in 8-week. Lecture materials with weekly hands-on projects are well prepared and developed for practicing. The instructor gave clear explanation and care students’ progress all the way along the lecture, enable us not to get loss during the time. I will highly recommend the course to those who wish to learn about the data analysis tools using Python.