Substrate 第 15 期课程升级! 参与 Mini 黑客松赢 DOT, 知名项目内推等着你

jinse_search_DOTPublicado em 2024-07-22Última atualização em 2024-07-22

深入互联网行业的你是否有过这样的困扰?

Web2 传统互联网企业内卷严重,加班压力大;

年近 35 岁面临职业危机,急于更换行业赛道却求之无门;

Web3 行业发展迅速,难觅合适的岗位转型机遇;

……

图片

加入 Substrate 第 15 期入门课程,这些问题就可以迎刃而解!如果你想以更快的速度入局 Web3 开发世界,那么 Substrate 就是你的不二之选!作为一个完全免费且开源的框架,Substrate 能够让全世界有需求的开发者自由使用并进行开发设计。同时凭借着 Rust 编程语言的搭建基础,开发者能够在安全、高效的环境下推动项目落地。融合核心模板、基本逻辑、P2P 网络、共识机制、链上治理等功能,开发者能够在不掌握底层技术和逻辑下,只需 15 分钟就能轻松完成一条定制化功能的区块链。

从一门开发学习课程出发,Substrate 项目实战、专业大咖 0 距离面对面、海量就业岗位推荐机会……Substrate 第 15 期入门课程将会给你意想不到的精彩收获!

图片

OneBlock+ 和 Parity 自 2020 年联合推出 Substrate 系列课程以来,一路见证了 3000+ 名开发者的课程学习,成为国内乃至全球首批学习最新 Web3 开发框架的开发者课程,为波卡生态和 Web3 发展孵化出无数潜力项目。

在刚结束的第 14 期入门课程中,38 位学员顺利完成学业任务并毕业,毕业率达到 52%13 名学员成为优秀毕业学员,优秀毕业率达到 18%!更有一位优秀学员获得 Bifrost 内推机会,成功入职高级测试工程师岗位 ?《Substrate 入门课第 14 期圆满结束,岗位内推直达知名 Web3 项目!》

项目介绍

Bifrost 是基于 Polkadot 构建的模块化、可拓展、⾮托管的全链 LSD(Omnichain LSD) 平⾏链,通过 XCM 为 Web3 提供标准化、⾼收益、安全可靠的底层附息资产,正在实现任意链使⽤任意 LSD 的全链愿景。

第 15 期 Substrate 入门课程实现全面升级!你将熟练运用开发技术,参与 mini 黑客松完成项目试炼,更有机会获取多个开发岗位内推机会,在免费入学的前提下赚取高额 DOT 奖励本期课程仅限 100 个名额,报名从速)!

填写报名申请表,通过审核方可入学(报名方式参见「OneBlock Community」公众号)

课程介绍

【Substrate 区块链开发入门】是 Parity 联合 OneBlock+ 区块链技术社区在 2024 年全新升级的一门面向 0-1 岁技术小白、主要解决帮助 0-1 岁区块链开发者“提升技术实力,入局链上开发”需求的在线课程。

这门面向新人入门的技术课程,将围绕区块链基础技术、Rust/Substrate 基本技巧等训练,让学员在学习过程中能能够实现所有区块链相关技术及 Substrate 开发技能举一反三,掌握更多开发实战本领。

【Substrate 区块链开发入门】第十五期课程将在 6 月上旬开课,课程实现全新升级,免费开放!审核通过即可入学,仅限 100 名额只要你想 15 分钟搭建定制功能区块链,快速入门波卡生态,就赶快加入我们

图片

课程体系

本课程旨在通过对区块链基础理论、Polkadot 生态介绍、Rust 和 Substrate 技术学习,结合 mini 黑客松实战演练,让开发者熟练搭建定制化功能区块链,推进项目落地!欢迎加入课程,运用 Substrate 技术开启开发之旅、加入波卡生态建设!以下为课程主要体系架构:

图片

课程收获

  • 基本掌握区块链理论知识

  • 熟练运用 Substrate 技术

  • 参与 mini hackathon 项目实践

  • 获取多个开发岗位内推机会

  • 了解波卡近期动态和发展趋势

课程亮点

专业讲师授课+助教全程答疑+班长及时督学

行业资深讲师作为课程主要导师,为学员细致、透彻讲解知识点,更有一线开发助教分享学习经验,课程带班班长全程督学伴学,助力你的 Substrate 探索之旅。

课前环境准备+课中定期更新+课后每日答疑

入门课设置贯穿课前、课中、课后的学习支持,课前提供导读、学习资料、环境配置;课中配备视频学习、课程 PPT、源代码、参考资料等内容;课后开设每周一次的直播答疑和每日班级群答疑活动,全周期陪伴和辅导你的学习旅程。

官方认证证书+课程奖金激励+内推岗位推荐

顺利毕业的学员将获得官方认证的毕业证书,完成学习打卡、Task 和 Mini Hackathon 均可获 DOT/周边奖励,包括免费的开发岗内推机会。

课程导师

俊 Polkadot dev advocate

图片

拥有嵌入式、服务器和大数据领域的资深开发经验,2017 年开始接触以太坊,2019 年开始Substrate 学习和开源项目开发,目前致力于 Substrate 的研发、推广工作。

孙凯超 Polkadot dev advocate

图片

拥有多年 Web2 应用开发经验,前端和后端均有涉及,2016 年深入了解去中心的技术栈,2019 年接触了 Substrate,坚定了投入 Web3 浪潮的决心。同时,维护《 Substrate 区块链开发》知乎专栏,希望把复杂的技术概念以通俗易懂的方式传达给更多开发者。

王大锤 Polkadot dev advocate

图片

原本是一名智能合约开发者,现致力于开发区块链基础设施以及去中心化网络,永远对技术新冒险充满兴趣。

Gavin Wood 博士推荐

“关于 Substrate,还有很多即将实现的新功能,所以我诚挚的邀请各位去了解一下我们现有的东西,从链下工作机到各种 Substrate 2.0 的新组件,比如可枚举映射、交易化存储和更多功能,一定要来了解和上手实践试试,通过这门课程学习如何利用 Substrate 建立一个现象级别的的区块链项目,大家撸起袖子开干吧!”

—— Gavin Wood 博士

图片

适合人群

1. 想学习 Substrate 技术框架的开发人员

2. 对区块链充满好奇与热情,却不知从何学起的创业者

3. 想要参与波卡黑客松获得优异成绩的开发者或团队

4. 缺少系统化的学习和实践机会,自学难效率低的开发者

5. 有编程基础的计算机专业学生,掌握至少一门语言,语言类型不限

课程大纲

通过学习这门课程,开发者可以掌握 Substrate 区块链技术,入门 Web3 并开发属于自己的第一条区块链。每周更新一课时,每两周完成一个 Task 任务,详情可参考课程大纲:

第 1 课: 区块链入门

1.什么是区块链及其价值

2.区块链常用概念如哈希函数、签名、链结构、共识等

3.比特币原理

第 2 课: Substrate&Polkadot 简介

1.为什么学习 Substrate

2.Polkadot 特点和生态

3.开源文化和协作

4.联盟链和公链的对比

5. substrate 本地起链实操

6. 加餐:Substrate 架构解析(适合学完之后反复观看)

第 3 课: Rust 入门

1.数据类型

2.流程控制

3.异常处理

4.项目管理工具 Cargo

5.Polkadot SDK 代码导读

第 4 课: Rust 进阶

1.所有权

2.Trait

3.泛型

4.生命周期

5.Iterator

第 5 课: Substrate 区块链应用开发

1.Runtime 宏介绍

2.Runtime 数据存储的设计

3.存证模块的功能开发

第 6 课: Polkadot js 使用

1.Polkadot js 介绍

2.Polkadot js 安装和 UI 界面

3.Polkadot js 的使用

4.Polkadot js 源代码导读

往期学员评价

目前,Substrate 入门课程系列已培养 3000+ 开发者,输出 300+ 生态项目,受到学员们的一致好评!多数学员在完成课程学习后,坚定选择 Substrate 生态进行技术深耕与项目开发,收获颇丰。

图片

报名方式

如果你想要学习 Substrate,快速进入 Web3,就别错过这次难得的机会!在开课过程中,我们将竭力帮助学员以保障课程学习质量,你将有机会获得“官方认证+专业的课程导师+体系化的课程内容+练习作业+助教老师帮助学习”,顺利开启 Web3 开发之旅!课程仅限 100 个名额,请尽快填写报名申请表,通过审核方可入学。

报名方式参见「OneBlock Community 」公众号

结语

OneBlock+ 社区将以丰富的课程运营经验,竭力为开发者提供优质的课程内容,及时分享最新 Web3 招聘信息、组织优秀项目方开展分享会、举办黑客松大赛等活动,我们只愿切实帮助开发者进入 Web3、建设 Web3,让我们一同在 Substrate 世界披荆斩棘,把握进入 Web3 开发的优选路径!

Leituras Relacionadas

Can DeepSeek Save China One Trillion Dollars?

"DeepSeek and the $1 Trillion Infrastructure Question" The article examines whether DeepSeek's AI optimization breakthroughs could potentially save China $1 trillion in future AI infrastructure costs. The analysis begins with Nvidia's upcoming Vera Rubin AI platform, costing ~$7.8 million, where memory (HBM4/LPDDR5X) constitutes $2 million—a 435% cost increase in one year, highlighting how AI hardware spending is shifting toward expensive memory components. DeepSeek's approach works in the opposite direction. Through three key technical innovations showcased in DeepSeek V4, the company dramatically improves hardware efficiency: 1. **Memory Compression (MLA)**: Re-engineers the attention mechanism to compress long-context memory (KV Cache) by over 90%, drastically reducing expensive HBM usage. 2. **Selective Activation (MoE)**: Employs Mixture-of-Experts architecture where only a small fraction of parameters (e.g., 49B out of 1.6T in V4-Pro) are activated per token, allowing most parameters to reside in cheaper memory/SSD. 3. **Computation Caching**: Reuses previously computed results via cache hits, replacing expensive GPU computations with cheap memory reads. Combined, these optimizations allow the same hardware to produce approximately 4x more tokens, effectively reducing required hardware investment by 75%. DeepSeek's pricing reflects this: a 10-billion token workload costs ~$522 monthly versus ~$9,000-$10,000 for competitors. The $1 trillion savings projection stems from McKinsey's estimate that global AI infrastructure will require ~$5.2 trillion investment by 2030. As China's daily token consumption grows toward quadrillions, even marginal efficiency gains scale massively. With a conservative 4x throughput improvement, China could avoid building tens of thousands of AI data centers equivalent to ~7 trillion RMB ($1 trillion) in saved investment. Critically, this strategy shifts dependency from scarce, expensive GPU/HBM—where China lags—toward more accessible storage, caching, and systems engineering where domestic suppliers like CXMT are gaining strength. Rather than "replacing Nvidia," DeepSeek rebalances AI's value chain away from monolithic hardware dependency. Ultimately, DeepSeek's technical breakthroughs could lower the barrier to AI adoption across Chinese industries by making advanced capabilities affordable at scale—transforming who can access next-generation AI.

marsbitHá 58m

Can DeepSeek Save China One Trillion Dollars?

marsbitHá 58m

Overturning the Mainstream Approach to Hallucinations: Metacognition is the New Solution for Large Models to Break the Hallucination Barrier

This paper, "Hallucinations Undermine Trust; Metacognition is a Way Forward," proposes a paradigm shift in combating AI hallucination. It argues that the current mainstream approaches—striving for omniscience by scaling data/models or having AI abstain from uncertain answers—are fundamentally flawed. The former has inevitable knowledge gaps, while the latter imposes a crippling "utility tax," requiring the rejection of many correct answers to achieve high accuracy, due to models' poor "discrimination" (the ability to distinguish correct from incorrect answers internally). The core contribution is redefining hallucination not as "being wrong," but as "expressing false information with unwarranted certainty." The proposed solution is **Faithful Uncertainty** or **Metacognition**: enabling AI to accurately perceive its internal uncertainty and honestly express it in its language (e.g., using hedging phrases when unsure). This creates a more reliable assistant that provides useful information while signaling its confidence, minimizing harm from errors. The paper emphasizes that metacognition is critical for the era of AI Agents. Without it, Agents cannot intelligently decide when to use tools like search engines, leading to inefficiency and misuse. Key implementation challenges are highlighted: the "bootstrapping paradox" of training with static uncertainty data, the "alignment distortion signal" where human preference training suppresses internal uncertainty cues, and the difficulty of causally evaluating true metacognition vs. its superficial imitation. The paper concludes that the goal should not be an infallible AI, but one that is honest about the limits of its knowledge, thereby building user trust through transparent communication of its certainty.

marsbitHá 1h

Overturning the Mainstream Approach to Hallucinations: Metacognition is the New Solution for Large Models to Break the Hallucination Barrier

marsbitHá 1h

Hedge by Buying Gold and Oil, Chase Soaring Returns with AI. ‘Dated’ Bitcoin Enters a Bear Market

Bitcoin has recently declined, hitting a two-month low near $66,123, while Ethereum fell to a three-month low around $1,837. Analysts suggest the drop is not merely due to factors like ETF outflows or MicroStrategy's selling but reflects a deeper issue: Bitcoin is losing a broader asset competition. In a near-zero interest rate environment, Bitcoin previously thrived as an outlet for investor dissatisfaction with inflation and limited options. However, the market landscape has shifted. Bitcoin now occupies an "awkward middle ground," facing competition on three fronts. For inflation hedging, investors prefer gold, energy stocks, and commodity producers—assets with tangible backing and clearer pricing power. For growth exposure, AI-related companies with actual revenues and profits are more attractive. Even within crypto, investors can choose stablecoins, exchanges, or infrastructure firms tied directly to adoption, offering clearer business models and leverage. Thus, Bitcoin is no longer the top choice for hedging, growth, or crypto exposure. This shift is evident in market reactions: despite recent warnings about persistent inflation from a Fed official, Bitcoin did not rally as it might have in the past. Instead, capital flowed to assets with direct commodity or energy exposure. The recent ETF outflows and MicroStrategy sales are symptoms, not causes, of this new reality. Investors are becoming more selective, demanding clearer value propositions beyond mere scarcity. The emerging bear case for Bitcoin is not about it being a bubble or failed technology, but that scarcity alone is no longer sufficient.

华尔街日报Há 1h

Hedge by Buying Gold and Oil, Chase Soaring Returns with AI. ‘Dated’ Bitcoin Enters a Bear Market

华尔街日报Há 1h

Trading

Spot
Futuros

Artigos em Destaque

Como comprar DOT

Bem-vindo à HTX.com!Tornámos a compra de Polkadot (DOT) simples e conveniente.Segue o nosso guia passo a passo para iniciar a tua jornada no mundo das criptos.Passo 1: cria a tua conta HTXUtiliza o teu e-mail ou número de telefone para te inscreveres numa conta gratuita na HTX.Desfruta de um processo de inscrição sem complicações e desbloqueia todas as funcionalidades.Obter a minha contaPasso 2: vai para Comprar Cripto e escolhe o teu método de pagamentoCartão de crédito/débito: usa o teu visa ou mastercard para comprar Polkadot (DOT) instantaneamente.Saldo: usa os fundos da tua conta HTX para transacionar sem problemas.Terceiros: adicionamos métodos de pagamento populares, como Google Pay e Apple Pay, para aumentar a conveniência.P2P: transaciona diretamente com outros utilizadores na HTX.Mercado de balcão (OTC): oferecemos serviços personalizados e taxas de câmbio competitivas para os traders.Passo 3: armazena teu Polkadot (DOT)Depois de comprar o teu Polkadot (DOT), armazena-o na tua conta HTX.Alternativamente, podes enviá-lo para outro lugar através de transferência blockchain ou usá-lo para transacionar outras criptomoedas.Passo 4: transaciona Polkadot (DOT)Transaciona facilmente Polkadot (DOT) no mercado à vista da HTX.Acede simplesmente à tua conta, seleciona o teu par de trading, executa as tuas transações e monitoriza em tempo real.Oferecemos uma experiência de fácil utilização tanto para principiantes como para traders experientes.

445 Visualizações TotaisPublicado em {updateTime}Atualizado em 2026.06.02

Como comprar DOT

Discussões

Bem-vindo à Comunidade HTX. Aqui, pode manter-se informado sobre os mais recentes desenvolvimentos da plataforma e obter acesso a análises profissionais de mercado. As opiniões dos utilizadores sobre o preço de DOT (DOT) são apresentadas abaixo.

活动图片