Skip to content

falico/pba-content

 
 

Repository files navigation

Polkadot Blockchain Academy

The Polkadot Blockchain Academy is an intensive academic program teaching Blockchain, Substrate and Polkadot to talented developers.

This program aims at:

  • Improving our core dev hiring pipeline in both quantity and quality of candidates
  • Seeding the industry with Substrate knowledge and advocates
  • Building a surplus of developers for lesser product prototyping if they’re not hired out
  • Improving our non-dev onboarding processes

Selected through an admission process, candidates will receive an intensive education taught by a mix of professionals from Parity, Web3 and some visiting professors.

Curriculum Versions

The curriculum is expected to change per cohort in the first run. You can find the snapshot of the slides at the end of each cohort here:

Venue Suggestions

This curriculum is designed to be taught as an in-person course with ~25-60 students. (Although it may be somewhat useful for online or independent learning). The venue where the course is taught should provide the following. These may be a single space with flexible seating, or two different spaces for lecture- and collaboration-style work.

  • Overhead projector that all students can easily see
  • Aisles for instructors to easily move among students to answer questions or help debug
  • Group work stations where student groups of 5-10 students can gather
  • A large whiteboard for instructors to share diagrams
  • Internet connection that can support >10Mbps while all students are connected
  • LAN connection that allows P2P connections to start a private blockchain network

Contributing

Subject Matter Experts (SMEs) should explore ./CONTRIBUTING.md to learn how to use this repo.

About

An intensive academic program teaching Blockchain, Substrate, and Polkadot.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Tcl 63.9%
  • Rust 29.8%
  • CSS 2.7%
  • HTML 1.2%
  • Jupyter Notebook 1.2%
  • JavaScript 0.6%
  • Other 0.6%