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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:

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

My Certificate to This Speciallization

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

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

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

    • Distributed Business Entities
    • New Business Models; DApps; Strategic Approaches to Intellectual Property
  • Module 3 Blockchain and C-Suite

    • Intro to the C-Suite
    • CEO, COO, CLO, CFO, CMO, CIO CTO, CHRO
  • Module 4 Leadership for Next Era

    • Leadership for Next Era
    • Blockchain Regulation, Fundamental Questions, Regulatory Principles
    • Blockchain Governance, Regulation vs. Governance, The Blockchain Stack, Multiple Layers of Blockchain Governance, A New Framework for Blockchain Governance
    • Seven Conditions for Success, Profile of a Blockchain Hotbed
  • Module 5 Blueprint for a New Social Contract

    • The Current Social Contract is Breaking
    • Drivers for Change, Four Pillars of Society
    • Blueprint for a New Social Contract, Intro to a New Social Contract, Rethinking Work, The Pre-distribution of Wealth, Distributed Power, Collaborative Institutions
    • Course Wrap-up

My Certificate

A excellent introduction to blockchain with a little technology details. This one is my No. 1 recommedation for Blockchain Introduction courses.

My Certificate

Chapter 1. Discovering Blockchain Technologies

  • Introduction and Learning Objectives
  • Distributed Ledger Technology (DLT)
  • Bitcoin and Ethereum Blockchains
  • Exploring Permissionless Blockchains
  • Consensus Algorithms
  • Hyperledger
  • Other Open Source Permissioned Distributed Ledgers
  • Challenges in the Adoption/Deployment of Distributed Ledger Technologies
  • Knowledge Check (Verified Certificate track only)

Chapter 2. Introduction to Hyperledger Foundation

  • Introduction and Learning Objectives
  • Hyperledger Foundation
  • Q/A with Brian Behlendorf, former Executive Director of Hyperledger
  • Knowledge Check (Verified Certificate track only)

Chapter 3. Hyperledger Foundation Hosted Projects

  • Introduction and Learning Objectives
  • Graduated Hyperledger Projects
  • Incubating Hyperledger Projects
  • Dormant Hyperledger Projects
  • Knowledge Check (Verified Certificate track only)

Chapter 4. The Promise of Business Blockchain Technologies

  • Introduction and Learning Objectives
  • Existing Blockchain Use Cases
  • When to Use or Not to Use Blockchain Technologies
  • Knowledge Check (Verified Certificate track only)

6. Power BI

My Certificate 1 My Certificate 2

Learners will acquire foundational knowledge of the core concepts related to artificial intelligence (AI) and the services in Microsoft Azure that can be used to create AI solutions. This program is an opportunity to demonstrate knowledge of common ML and AI workloads and how to implement them on Azure.

It consists of 4 courses:

  • Course 1: Artificial Intelligence on Microsoft Azure
  • Course 2: Microsoft Azure Machine Learning
  • Course 3: Computer Vision in Microsoft Azure
  • Course 4: Natural Language Processing in Microsoft Azure

My Certificate to This Speciallization

Microsoft Certified Azure AI Fundamentals AI-900

CIRTL - Center for the Integration of Research, Teaching and Learning

CIRTL official website