Machine Learning for Apps
ACCREDITED BY
£64.00
Course Includes:
- Accredited By: CPD
- Course Level: Beginner to Advance
- Course Duration: 365 Days
- Number of Modules: 6
-
Guided Learning Hours:
6.5
- Course Certificate: At completion
- Assessment Included:
- Course Material:
Training 5 or more people?
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What Will I Learn?
- Learn to code how the PROs code - not just copy and paste
- Build Real Projects - You'll get to build projects that help you retain what you've learned
- Build awesome apps that can make predictions
- Build apps that can classify human handwriting
- Learners should be over the age of 16, and have a basic understanding of English, ICT and numeracy.
- A sound educational background is recommended
- IT students
- Job seekers
- IT professionals
To pass this course learners must have successfully passed all the assessment criteria. The purpose of assessment is to ensure that effective learning has taken place.
You will need to submit these assignments online via the online learning portal, they will then be subject to internal assessment and results will be provided.
- You will only need to pay £19 for assessment & Certificate.
Upon the successful completion of the course, you will be awarded the ‘ Certificate in Machine Learning for Apps - Level 2’ certificate by CPD.
Receive a Printed Certificate absolutely FREE, with applicable delivery fee
Access Duration
The course will be directly delivered to you, and you have 12 months access to the online learning platform from the date you joined the course. The course is self-paced and you can complete it in stages, revisiting the lectures at any time.
Awarding Body
CPD is an internationally recognised accrediting body that will make your CV standout and encourage employers to see your motivation at expanding your skills and knowledge in an enterprise.
Other Benefits
- High-quality e-learning study materials.
- Tutorials/materials from industry-leading experts.
- 24/7 Access to the Learning Portal.
- Recognised Accredited Certification
- Learners should be over the age of 16, and have a basic understanding of English, ICT and numeracy.
- A sound educational background is recommended
- IT students
- Job seekers
- IT professionals
To pass this course learners must have successfully passed all the assessment criteria. The purpose of assessment is to ensure that effective learning has taken place.
You will need to submit these assignments online via the online learning portal, they will then be subject to internal assessment and results will be provided.
- You will only need to pay £19 for assessment & Certificate.
Upon the successful completion of the course, you will be awarded the ‘ Certificate in Machine Learning for Apps - Level 2’ certificate by CPD.
Receive a Printed Certificate absolutely FREE, with applicable delivery fee
Access Duration
The course will be directly delivered to you, and you have 12 months access to the online learning platform from the date you joined the course. The course is self-paced and you can complete it in stages, revisiting the lectures at any time.
Awarding Body
CPD is an internationally recognised accrediting body that will make your CV standout and encourage employers to see your motivation at expanding your skills and knowledge in an enterprise.
Other Benefits
- High-quality e-learning study materials.
- Tutorials/materials from industry-leading experts.
- 24/7 Access to the Learning Portal.
- Recognised Accredited Certification
£64.00
Course Includes:
- Accredited By: CPD
- Course Level: Beginner to Advance
- Course Duration: 365 Days
- Number of Modules: 6
-
Guided Learning Hours:
6.5
- Course Certificate: At completion
- Assessment Included:
- Course Material:
Training 5 or more people?
Get your team access to 600+ top NLA courses anytime, anywhere.
Try NLA for BusinessProgram Fee
Starting @
Total Program Fee
?3,25,000
?22,000/month
Get a chance to win a scholarship up to Rs.1.10 Lakhs
Preview Certificate and Apply for Student ID Card
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Student Feedback
Reviews
-
EGSun, 26-Jul-2020Elliot GreenEngaging courseThe technical terms were simplified and the course was rather engaging. I look forward to taking the other courses in this specialisation
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