Machine Learning for Mobile Apps using Google’s ML Kit Training Course

Duration

14 hours (usually 2 days including breaks)

Requirements

  • An understanding of machine learning
  • Experience with mobile development

Audience

  • Software Engineers
  • Mobile App Developers

Overview

ML Kit is a mobile SDK provided by Google for integrating machine learning technologies into Android and iOS apps. It features usable APIs for barcode scanning, face detection, image labeling, object detection and tracking, text recognition, translations, and other vision and language processing functions.

This instructor-led, live training (online or onsite) is aimed at developers who wish to use Google’s ML Kit to build machine learning models that are optimized for processing on mobile devices.

By the end of this training, participants will be able to:

  • Set up the necessary development environment to start developing machine learning features for mobile apps.
  • Integrate new machine learning technologies into Android and iOS apps using the ML Kit APIs. 
  • Enhance and optimize existing apps using the ML Kit SDK for on-device processing and deployment.

Format of the Course

  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.

Course Customization Options

  • To request a customized training for this course, please contact us to arrange.

Course Outline

Introduction

  • ML Kit vs TensorFlow vs other machine learning services
  • Overview of ML Kit features and components

Getting Started

  • Setting up the ML Kit SDK
  • Exploring APIs and sample apps

Implementing ML Kit Vision APIs

  • Automating data entry (Text Recognition)
  • Detecting faces for selfies and portraits (Face Detection)
  • Interpreting body positions (Pose Detection)
  • Adding background effects (Selfie Segmentation)
  • Integrating Barcode Scanning
  • Identifying objects, places, species, etc. (Image Labeling)
  • Locating prominent objects in an image (Object Detection and Tracking)
  • Recognizing handwritten texts (Digital Ink Recognition)

Working with Natural Language APIs

  • Identifying languages
  • Translating texts
  • Generating smart replies
  • Using entity extraction

Optimizing Existing Apps with ML Kit

  • Using custom models with ML Kit
  • Migrating from Firebase to the new ML Kit SDK
  • Migrating from Mobile Vision to ML Kit SDK
  • Reducing app size for deployment
  • Refactoring apps to use dynamic feature modules

Troubleshooting Tips

Summary and Next Steps

Introduction to software testing as a career

Define the stakeholders of a software tester

Define the roles in software testing

Understand the importance of a test strategy

Identify the secret weapon of a software tester

Requirements

  • An inquisitive mindset, wanting to learn more about software testing.
  • An interest in becoming a great software testing professional.
  • An interest in assessing the quality of software applications and mobile apps.
  • No previous testing or programming skills needed.

Description

  • Are you considering a career in software testing, or started a career in software testing recently?
  • Do you consider yourself creative, inquisitive, and tenacious?
  • Do you have an eye for detail? Do you spot spelling mistakes, or errors in software easily?
  • Are you a good communicator?

If you have answered ‘YES’ to all of the above, then this course is for you!

This course is intended for someone considering a career in software testing, or that has recently started a career in software testing. The course offers experienced-based guidance on topics that are mostly overlooked like: the software tester’s mission, the role, and what is required to become a great software testing professional.

This course is NOT intended for certification preparation, but rather focuses on providing guidance to lay a solid foundation for a novice software testing professional.

The demand for software testers has increased considerably in the last 10 years. Quality software provides companies with a competitive edge. Unfortunately, there is very little or no guidance on offer for people considering a career in software testing. Everyone knows what a software developer does, he/she writes code. But what does a software tester do? And why do we even need software testers?

This course is short by design. The objective is to highlight some of the areas that is mostly overlooked when someone considers a career in software testing, and the skills required to become a great software testing professional.

Software testing is not for everyone, it can be fun, exciting and at the same time very stressful. After completing this course, you should have a good idea of what is required to be a great software testing professional.

Who this course is for:

  • Those considering software testing as a career.
  • Those who have recently started a career in software testing that need some guidance.

Course content

5 sections • 10 lectures • 40m total lengthExpand all sections

Introduction1 lecture • 3min

  • Introduction02:56

Roles3 lectures • 22min

  • Roles05:40
  • Stakeholders09:12
  • Career Opportunities06:54

Your Mission2 lectures • 5min

  • Question Everything02:06
  • Making Mistakes03:09

The Untold Truth3 lectures • 8min

  • Quality Assurance versus Software Testing02:54
  • The Missing Test Strategy02:24
  • The Thinking Game02:37

Top Secret1 lecture • 2min

  • Most Powerful Test Technique02:19