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Machine Learning in Flutter
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Register on the today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study …
Register on the Machine Learning in Flutter today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career.
The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials.
Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get a digital certificate as a proof of your course completion.
The Machine Learning in Flutter course is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones.
The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly!
What You Get With The Machine Learning in Flutter Course
- Receive a e-certificate upon successful completion of the course
- Get taught by experienced, professional instructors
- Study at a time and pace that suits your learning style
- 24/7 help and advice via email or live chat
- Get full tutor support on weekdays (Monday to Friday)
Course Design
The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace.
You are taught through a combination of
- Video lessons
- Online study materials
Certification
After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for £9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for £15.99, which will reach your doorsteps by post.
Who Is This Course For:
The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge.
Requirements:
The online training is open to all students and has no formal entry requirements. To study the Machine Learning in Flutter course, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16.
Course Curriculum
| Unit 01: Introduction | |||
| Module 01: Course Curriculum | 00:02:00 | ||
| Unit 02: Image Picker and Camera Libraries | |||
| 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 | ||
| Unit 03: Firebase ML Kit | |||
| Module 01: Firebase ML kit section Introduction | 00:01:00 | ||
| Module 02: Firebase ML Kit introduction | 00:02:00 | ||
| Unit 04: Image Labeling using ML Kit | |||
| 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 | ||
| Unit 05: Section Barcode Scanning | |||
| 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 | ||
| Unit 06: Section Text Recognition | |||
| 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 | ||
| Unit 07: Section Face Detection | |||
| 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 | ||
| Unit 08: Pretrained Tensorflow lite models | |||
| Module 01: Pretrained Tensorflow lite models Section Introduction | 00:02:00 | ||
| Unit 09: Section Image Classification | |||
| 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 | ||
| Unit 10: Section object detection | |||
| 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 | ||
| Unit 11: Section human pose estimation | |||
| 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 | 00:09:00 | ||
| Module 06: Using PoseNet model for Flutter Live feed pose estimation application | 00:08:00 | ||
| Unit 12: Image segmentation section | |||
| 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 | ||
| Unit 13: Section Training Image Classification Models | |||
| Module 01: Section Introduction | 00:02:00 | ||
| Module 02: Machine Learning and Image classification | 00:02:00 | ||
| Unit 14: Dog Breed Classification | |||
| 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 | ||
| Unit 15: Fruits Recognition using Transfer Learning | |||
| 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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Frequently asked questions
Can’t find the anwser you’re looking for ? Reach out to customer support team.
There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course.
You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience.
For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime.
Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks.
We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase.
Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course.
If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.