Analytics as a Service (AaaS)

SkillsFuture Credit Approved Course

Introduction

With the advent of Analytics as Service (AaaS) and AaaS platforms (such as Google Cloud Platform), we can now use advanced analytics capabilities – such as image labelling, face recognition, OCR, speech recognition and so on our own applications with minimal hassle.

In this course, you will gain in-depth knowledge about AaaS capabilities, AaaS platforms and get hands-on with creating a simple image recognition application.

Course Content

  1. Introduction to Analytics as a Service (AaaS)
    • Analytics as Service (AaaS) – Concept
    • Ecosystem of AaaS (Software, Platform, Infrastructure)
    • AaaS with APIs
    • Cloud Analytics Platforms for AaaS
  2. Common Capabilities of AaaS
    • Visual Recognition – Image recognition, face recognition, OCR
    • Text – Sentiment / Tone analysis, Entity Recognition
    • Conversation – Chatbots
    • Search – Retrieve and Rank
    • Speech to Text
    • Translation
  3. Using AaaS
    • User Interface
    • Programmatically (APIs)
    •  Postman
    • How AaaS is used in an Application
  4. Building blocks of an AaaS Application
    • HTML / Javascript
    • APIs
    • GET / POST Methods
    • Authentication
    • Communicating with APIs through HTML / Javascript
    • Communication formats
    • JSON
  5. Making a simple AaaS Application
    • Making a simple AaaS application
    • Instagram and Image recognition APIs.
  6. Next Steps
    • AaaS within organizations
    • Creating AaaS