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Machine Learning use in Flutter, The Complete Guide
CPD Accredited Course

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Course Overview

Gear up to get well equipped in Machine Learning use in Flutter, The Complete Guide now, make up your mind to be the best in the business! All you need is proper training, firm support and push to shine in your vocation, and Compliance Central is determined to provide you with it all! Explore what you got in this exclusive Machine Learning use in Flutter, The Complete Guide, start learning and excel in it! This amazing Machine Learning use in Flutter, The Complete Guide course has been designed and developed by the industry specialists who had been to the business for years, went through ups-and-downs, climbed up the success ladder with sheer excellence! You’ll get to-the-point knowledge both practical and theoretical, and gain valuable insights on the business which will help you understand the drill better than ever! Join today, be skilled, learn with positive energy and enthusiasm, create an excellent career using your full potential! Brace yourself, enrol now for an amazing venture!

This Machine Learning use in Flutter, The Complete Guide Course Package Includes

  • Comprehensive lessons and training provided by experts on Machine Learning use in Flutter, The Complete Guide
  • Interactive online learning experience provided by qualified professionals in your convenience
  • 24/7 Access to the course materials and learner assistance
  • Easy accessibility from any smart device (Laptop, Tablet, Smartphone etc.)
  • A happy and handy learning experience for the professionals and students
  • 100% learning satisfaction, guaranteed by Compliance Central

Learning Outcome

Upon successful completion of this highly appreciated Machine Learning use in Flutter, The Complete Guide course, you’ll be a skilled professional, besides—
  • You can provide services related to Machine Learning use in Flutter, The Complete Guide with complete knowledge and confidence
  • You’ll be competent and proficient enough to start a Machine Learning use in Flutter, The Complete Guide related business on your own
  • You can train up others and grow an efficient peer community on your locality and serve people
  • It will enhance your portfolio, you can use the certificate as proof of your efficiency to the employer
  • It will boost up your productivity, you can use the skill and credentials, and become more competent in your vocation with increased earning!

Certification

You can instantly download your certificate for £4.79 right after finishing the Machine Learning use in Flutter, The Complete Guide course. The hard copy of the certification will also be sent right at your doorstep via post for £10.79. All of our courses are continually reviewed to ensure their quality, and that provide appropriate current training for your chosen subject. As such, although certificates do not expire, it is recommended that they are reviewed or renewed on an annual basis.

Who Is This Course For

Compliance Central aims to prepare efficient human resources for the industry and make it more productive than ever. This helpful course is suitable for any person who is interested in Machine Learning use in Flutter, The Complete Guide. There are no pre-requirements to take it. You can attend the course if you are a student, an enthusiast or a
  • Employee
  • Employer
  • Manager
  • Supervisor
  • Entrepreneur
  • Business Professional
  • Company Leader
  • HR Professional

Course Currilcum

    • Module 01: Course Curriculum 00:02:00
    • Module 01: Image Picker Library for Flutter App Development 00:13:00
    • Module 02: Flutter Image Picker Application Testing 00:01:00
    • Module 03: Camera Package Setup for Flutter 00:04:00
    • Module 04: Flutter Camera Package Code 00:08:00
    • Module 01: Firebase ML kit section Introduction 00:01:00
    • Module 02: Firebase ML Kit introduction 00:02:00
    • Module 01: Flutter Image Labeling Section Introduction 00:02:00
    • Module 02: Importing Starter code for image labeling 00:03:00
    • Module 03: Image labeling starter code explanation 00:06:00
    • Module 04: Creating firebase project for image labeling 00:06:00
    • Module 05: Adding Firebase ML Vision library in Flutter Application 00:10:00
    • Module 06: Testing Firebase Image labeling application 00:01:00
    • Module 07: Importing Image Labeling live feed application starter code 00:03:00
    • Module 08: Flutter Camera Package Code 00:06:00
    • Module 09: Flutter Image Labeling live feed application code 00:08:00
    • Module 10: Flutter Image labeling live feed application testing 00:01:00
    • Module 01: Flutter Barcode Scanning Section Introduction 00:02:00
    • Module 02: Importing Starter code for Flutter Barcode Scanning 00:03:00
    • Module 03: Flutter Barcode Scanning code 00:11:00
    • Module 04: Flutter Barcode Scanning Application Testing 00:01:00
    • Module 05: Flutter Barcode Scanning Live Feed Application code 00:08:00
    • Module 06: Flutter Barcode Scanning Live feed Application Testing 00:01:00
    • Module 01: Flutter Text Recognition Section Introduction 00:01:00
    • Module 02: Importing Starter code for Flutter Text Recognition 00:03:00
    • Module 03: Writing Flutter Text Recognition Code 00:09:00
    • Module 04: Testing Flutter Text Recognition Application 00:01:00
    • Module 01: Flutter Face Detection Section Introduction 00:02:00
    • Module 02: Flutter Face Detection Application Flow 00:01:00
    • Module 03: Flutter Face Detection code 00:06:00
    • Module 04: Flutter drawing rectangles around detected faces 00:05:00
    • Module 01: Pretrained Tensorflow lite models Section Introduction 00:02:00
    • Module 01: Flutter Image classification Section introduction 00:02:00
    • Module 02: Importing Starter code for Flutter Image classification application 00:03:00
    • Module 03: Starter code explanation for Flutter Image classification 00:06:00
    • Module 04: Writing flutter image classification code 00:13:00
    • Module 05: Testing flutter image classification application 00:02:00
    • Module 06: Importing Flutter live feed Image classification application starter code 00:03:00
    • Module 07: Starter code explanation of Flutter Live feed Image classification application 00:05:00
    • Module 08: Writing Flutter Image classification code 00:11:00
    • Module 09: Testing live feed image classification flutter application 00:01:00
    • Module 01: Flutter Object detection section introduction 00:02:00
    • Module 02: Importing Application code object detection flutter 00:05:00
    • Module 03: Flutter Object detection code 00:13:00
    • Module 04: Flutter Drawing Rectangles around detected objects 00:04:00
    • Module 05: Importing the code for live feed object detection flutter application 00:02:00
    • Module 06: Testing object detection live feed flutter application 00:01:00
    • Module 07: Flutter Live feed object detection application code 00:10:00
    • Module 01: Flutter Pose estimation section introduction 00:02:00
    • Module 02: Importing Flutter Pose estimation Application code 00:04:00
    • Module 03: Flutter Pose estimation code 00:10:00
    • Module 04: Importing pose estimation live feed flutter application code 00:02:00
    • Module 05: Flutter Live feed pose estimation application demo 00:01:00
    • Module 06: Using PoseNet model for Flutter Live feed pose estimation application 00:08:00
    • Module 01: Flutter Image Segmentation Section Introduction 00:02:00
    • Module 02: Importing Flutter Image Segmentation Application code 00:03:00
    • Module 03: Flutter using DeepLab model for image segmentation 00:09:00
    • Module 01: Section Introduction 00:02:00
    • Module 02: Machine Learning and Image classification 00:02:00
    • Module 01: Flutter getting the dataset for model training 00:05:00
    • Module 02: Flutter Training the model 00:06:00
    • Module 03: Flutter Dog Breed Classification Application 00:18:00
    • Module 04: Flutter Live feed dog breed classification application 00:03:00
    • Module 05: Testing live feed dog breed classification application 00:01:00
    • Module 01: Transfer learning introduction 00:02:00
    • Module 02: Flutter getting the dataset for model training 00:05:00
    • Module 03: Flutter Training fruit recognition model 00:09:00
    • Module 04: Flutter Testing Live feed fruits recognition application 00:01:00

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  • calendar Intermediate
  • student 1 students
  • clock 5 hours, 11 minutes
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Student Reviews

Ben lim

Gaining improve knowledge in the construction project management and the course is easy to understand.

Mr Brian Joseph Keenan

Very good and informative and quick with marking my assignments and issuing my certificate.

Sarah D

Being a support worker I needed add a child care cert in my portfolio. I have done the course and that was really a good course.

Sam Ryder

The first aid course was very informative with well organised curriculum. I already have some bit and pieces knowledge of first aid, this course helped me a lot.

Ben lim

Gaining improve knowledge in the construction project management and the course is easy to understand.

Thelma Gittens

Highly recommended. The module is easy to understand and definitely the best value for money. Many thanks

BF Carey

First course with Compliance Central. It was a good experience.

Course Currilcum

    • Module 01: Course Curriculum 00:02:00
    • Module 01: Image Picker Library for Flutter App Development 00:13:00
    • Module 02: Flutter Image Picker Application Testing 00:01:00
    • Module 03: Camera Package Setup for Flutter 00:04:00
    • Module 04: Flutter Camera Package Code 00:08:00
    • Module 01: Firebase ML kit section Introduction 00:01:00
    • Module 02: Firebase ML Kit introduction 00:02:00
    • Module 01: Flutter Image Labeling Section Introduction 00:02:00
    • Module 02: Importing Starter code for image labeling 00:03:00
    • Module 03: Image labeling starter code explanation 00:06:00
    • Module 04: Creating firebase project for image labeling 00:06:00
    • Module 05: Adding Firebase ML Vision library in Flutter Application 00:10:00
    • Module 06: Testing Firebase Image labeling application 00:01:00
    • Module 07: Importing Image Labeling live feed application starter code 00:03:00
    • Module 08: Flutter Camera Package Code 00:06:00
    • Module 09: Flutter Image Labeling live feed application code 00:08:00
    • Module 10: Flutter Image labeling live feed application testing 00:01:00
    • Module 01: Flutter Barcode Scanning Section Introduction 00:02:00
    • Module 02: Importing Starter code for Flutter Barcode Scanning 00:03:00
    • Module 03: Flutter Barcode Scanning code 00:11:00
    • Module 04: Flutter Barcode Scanning Application Testing 00:01:00
    • Module 05: Flutter Barcode Scanning Live Feed Application code 00:08:00
    • Module 06: Flutter Barcode Scanning Live feed Application Testing 00:01:00
    • Module 01: Flutter Text Recognition Section Introduction 00:01:00
    • Module 02: Importing Starter code for Flutter Text Recognition 00:03:00
    • Module 03: Writing Flutter Text Recognition Code 00:09:00
    • Module 04: Testing Flutter Text Recognition Application 00:01:00
    • Module 01: Flutter Face Detection Section Introduction 00:02:00
    • Module 02: Flutter Face Detection Application Flow 00:01:00
    • Module 03: Flutter Face Detection code 00:06:00
    • Module 04: Flutter drawing rectangles around detected faces 00:05:00
    • Module 01: Pretrained Tensorflow lite models Section Introduction 00:02:00
    • Module 01: Flutter Image classification Section introduction 00:02:00
    • Module 02: Importing Starter code for Flutter Image classification application 00:03:00
    • Module 03: Starter code explanation for Flutter Image classification 00:06:00
    • Module 04: Writing flutter image classification code 00:13:00
    • Module 05: Testing flutter image classification application 00:02:00
    • Module 06: Importing Flutter live feed Image classification application starter code 00:03:00
    • Module 07: Starter code explanation of Flutter Live feed Image classification application 00:05:00
    • Module 08: Writing Flutter Image classification code 00:11:00
    • Module 09: Testing live feed image classification flutter application 00:01:00
    • Module 01: Flutter Object detection section introduction 00:02:00
    • Module 02: Importing Application code object detection flutter 00:05:00
    • Module 03: Flutter Object detection code 00:13:00
    • Module 04: Flutter Drawing Rectangles around detected objects 00:04:00
    • Module 05: Importing the code for live feed object detection flutter application 00:02:00
    • Module 06: Testing object detection live feed flutter application 00:01:00
    • Module 07: Flutter Live feed object detection application code 00:10:00
    • Module 01: Flutter Pose estimation section introduction 00:02:00
    • Module 02: Importing Flutter Pose estimation Application code 00:04:00
    • Module 03: Flutter Pose estimation code 00:10:00
    • Module 04: Importing pose estimation live feed flutter application code 00:02:00
    • Module 05: Flutter Live feed pose estimation application demo 00:01:00
    • Module 06: Using PoseNet model for Flutter Live feed pose estimation application 00:08:00
    • Module 01: Flutter Image Segmentation Section Introduction 00:02:00
    • Module 02: Importing Flutter Image Segmentation Application code 00:03:00
    • Module 03: Flutter using DeepLab model for image segmentation 00:09:00
    • Module 01: Section Introduction 00:02:00
    • Module 02: Machine Learning and Image classification 00:02:00
    • Module 01: Flutter getting the dataset for model training 00:05:00
    • Module 02: Flutter Training the model 00:06:00
    • Module 03: Flutter Dog Breed Classification Application 00:18:00
    • Module 04: Flutter Live feed dog breed classification application 00:03:00
    • Module 05: Testing live feed dog breed classification application 00:01:00
    • Module 01: Transfer learning introduction 00:02:00
    • Module 02: Flutter getting the dataset for model training 00:05:00
    • Module 03: Flutter Training fruit recognition model 00:09:00
    • Module 04: Flutter Testing Live feed fruits recognition application 00:01:00

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