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My notes for coursera course AI TensorFlow in Practice Specialization.

AI-TensorFlow-Blockchain-Certificate

My notes for coursera course for AI,TensorFlow, Blockchain and the certificates I earned.

1. AI TensorFlow Specialization by DeepLearning.AI

This is a very good "Introduction to AI/ML" level course. And I think it is friendly to everyone, including those who don't have any background. The workload is not high. You can finish this quickly (<= 7 days) and obtain basic understanding of AI/ML and how to code them!

It consists of 4 courses:

  • Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
  • Convolutional Neural Networks in TensorFlow
  • Natural Language Processing in TensorFlow
  • Sequences, Time Series and Prediction

My Certificate

2. Blockchain: Foundations and Use Cases (Use Ethereum) by ConsenSys Academy

This is a good introduction course to blockchain. But it's worth to mention that it focus more on public blockchain/permissionless blockchain. It uses Bitcoin and Ethereum as examples in most cases.

  • Permissionless / Public blockchain
  • Permissioned
    • consortium blockchain
    • private blockchain

The first two modules talk about public blockchain. Module 3 mentions the public/private/consortium blockchains. Module 4 explain more detials, mainly focus on detials of Etereum.

It consists of 5 parts:

  • Module 1 Blockchain Foundations
    • Lesson 1 Introduction
    • Lesson 2 The Brief, Brief History of Blockchain
    • Lesson 3: What is Decentralization?
    • Lesson 4: Ledgers, Distributed Ledgers, and Consensus
    • Lesson 5: The Paper Blockchain
  • Module 2 The Technical Side
    • Lesson 1: Public Key Cryptography
    • Lesson 2: Cryptographic Hash Functions
    • Lesson 3: Public Key Cryptography & Signing
    • Lesson 4: Anatomy of a Block
    • Lesson 5: The Chain of Blocks
    • Lesson 6: Nodes and Networks
  • Module 3 Blockchain In Use
    • Lesson 1: Consensus Mechanisms and Trust Frameworks
    • Lesson 2: Public, Private & Consortium Blockchains
    • Lesson 3: When to Use a Blockchain
    • Lesson 4: Implications of Blockchain on Business
  • Module 4 Further Topics
    • Lesson 1: Cryptocurrency Tokens
    • Lesson 2: Wallets, Exchanges & Transactions
    • Lesson 3: Bitcoin and Ethereum
    • Lesson 4: Smart Contracts & The EVM
    • Lesson 5: Decentralized Apps
    • Lesson 6: Blockchain Platforms & Extensions
    • Lesson 7: Blockchain Solution Architecture
  • Module 5 Use cases (Ethereum)
    • Use Case 1: Uport: Self-sovereign Identity and Reputation
    • Use Case 2: Meridio: Ownership and Governance
    • Use Case 3: Viant: Supply Chain and Asset Tracking
    • Use Case 4: Ujo: Royalties in the Music Industry

My Certificate

3. Blockchain and Business: Applications and Implications by INSEAD

In this course you will learn

  • how blockchain technology will penetrate into the structures of organizations.
  • how blockchain will transform the roles of the C-Suite, and
  • how a blockchain can be used to manage and protect intellectual property.

You will be able to

  • identify the different layers of the blockchain technology stack, and

  • explain how these affect the governance of blockchain systems.

  • identify seven qualities that a region in the world needs in order to attract technology startups and to build a vibrant blockchain ecosystem.

  • Module 1 Re-achitecting the firm

      1. Course Introduction
      1. Decentralizing the Enterprise
      • Re-design the corporation
      • Decentralizing the Enterprise
      • Transaction Costs and the Structure of the Firm
      1. Opportunities for Blockchain
      • Search, Contracting, Coordination, Building Trust
      1. Corporate Boundary Decisions
      • Determining Corporate Boundaries
      1. Module 1 Recap
  • Module 2 Distributed Business Entities

4. Blockchain: Understanding Its Uses and Implications by The Linux Foundation

  • Chapter 1. Introduction to Blockchain
  • Chapter 2. Blockchain Mechanics
  • Chapter 3. Blockchain Functions
  • Chapter 4. Blockchains and Governance
  • Chapter 5. Blockchain Problem Solving and Future Trends
  • Chapter 6. Blockchain Use Cases