Create a 10000+ NFT Pixel Art Collection like CryptoPunk (Udemy.com)
NFT Collection: A step by step hands on guided project on creating 10000+ NFT Pixel Art Collection using Python Language
Created by: Aaradhana Jha
Last updated October 2021
What you will learn
- You will learn to generate 10000+ NFT pixel arts collection like Cryptopunks
- You will learn to design and resize pixel arts
- You will learn to use python language to program a script to generate 10000+ images collection
- You will learn to make use of different Free online tools to create designs
How it compares
Against the other 94 rated Udemy courses in Blockchain Programming on CourseDuck:
- Rating4.7 out of 5higher than 94% of them
- Reviews21#92 of 95 by number of reviews
- Length1.2 hoursshorter than 84% of them
- Last updatedOctober 2021earlier than 76% of them
Course Description
Do you want to create your OWN "10000 NFT Collection" like Cryptopunks?
Do you want to learn to generate "Pixel Art" NFTs using Python?
If "Yes", this is the right course for you. It is the only Course you need.
You will learn:
Designing a NFT: Base Characters + Traits & Attributes
Creating a Pixel art generator software in Python
Creating a NFT 10K/20K NFT Collection
This is a Hands On Course where we guide you step by step into creating your own 10K/20K NFT Collection using Python.
We will teach you designing. We will teach you how to create base characters and traits(attributes). We will guide you through every single line of Code. By the end of this course, sky is the limit on what you can create.
We will create a special type of NFT Collection: Algorithmically Generated NFT collections.
Algorithmically generated NFTs basically means that no two NFTs will ever be the same . CryptoPunk, Meebits, VeeFriends, Loot and Bored Ape are all Algorithmically Generated NFT collections and have done really well.
We will be completing the following tasks in this course:
Task1 : Project Overview
Task2: Design Pixel Art using Lospec Image Editor
Task3: Resize the Canvas Size using Photopea Tool & Color the design
Task4: Create Directories & Generate samples for the Cap Feature
Task5: Generate samples for Body, Eyes and Mouth Features
Task6: Write a Program to generate 10K+ pixel arts collection
BY THE END OF THIS COURSE, YOU WILL HAVE YOUR OWN NFT COLLECTION.
So, Click on the "Enroll Now" button and take the leap towards your NFT Career.
Happy Learning
Instructor Details
- 4.7 Rating
21 Reviews
Aaradhana Jha
I am a data enthusiast and I love solving real-life problems using technology and my courses also rely on the same concept.I have a strong interest on Data Science (Classical machine Learning, Deep learning, BigData, Data Visualization & Analysis), Android Development, Web Development, and Graphics Design.
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Reviews
By Patricia Rowland on 2/11/2022
absolutely brillant
By Serhan on 1/1/2022
Simple explanation and quality presentation. It's a great course. I would recommend it to everyone
By Anas Diab on 12/9/2021
She is great in her explanation and takes you through everything step by step. good job and well done
By Antoinette Terrell on 12/3/2021
This is course is way TOO EXPENSIVE for the content provided... plus the audio is HORRIBLE! The background noise interferes with the speaker's voice throughout the course AND she repeats herself TOO MANY times during, which becomes aggravating! If im paying close to $100 for a course, im expecting professional quality. THIS IS NOT PROFESSIONAL QUALITY, but charging like it is. Very disappointing. However, the intended information was provided! You will learn how to get the job done, but be prepared to hear the speaker repeat herself over and over again... WITH BACKGROUND NOISE!
By spqr learner on 10/1/2021
Makes fun to follow the process, I especially like the way how the collection of all constructed pictures is done out of the Linux Terminal using a python script. The course is to the point, has a convenient duration of time, is easy to follow and fulfills all promises made in the course advertisement.
By Joseph Lefebvre on 9/26/2021
nice course, will now check the most important, coding part. price is the only flaw, could be more affordable.
Quality Score
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Overall Score : 94 / 100






