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CPD course All Levels

Machine Learning for Apps

4 enrolled 6h 53m of learning Updated Nov 2026
CertificateOn completion
6h 53mSelf-paced
41 lessonsOn the UISC learning portal
All LevelsNo prior training needed

Course curriculum

1 modules 41 lessons 6h 53m total
01 Machine Learning for Apps 41 lessons
  1. What is Machine Learning?
  2. Basics of Machine Learning
  3. Installing Anaconda / Python Environment
  4. Downloading / Setting Up Atom and Plugins
  5. Variables in Python
  6. Functions, Conditionals, and Loops in Python
  7. Arrays and Tuples in Python
  8. Importing Modules in Python
  9. What is scikit-learn? Why use it?
  10. Installing scikit-learn and scipy with Anaconda
  11. Intro to the Iris Dataset
  12. Datasets: Features and Labels Explained
  13. Loading the Iris Dataset / Examining and Preparing Data
  14. Creating / Training a KNeighborsClassifier
  15. Testing Prediction Accuracy with Test Data
  16. Building Our Own KNeighborsClassifie
  17. What is Keras? Why use it?
  18. What is a Convolutional Neural Network (CNN)?
  19. Installing Keras with Anaconda
  20. Preparing Dataset for a CNN
  21. Building / Visualizing a CNN using Sequential: Part 1
  22. Building / Visualizing a CNN using Sequential: Part 2
  23. Training CNN / Evaluating Accuracy / Saving to Disk
  24. Switching Python Environments / Converting to Core ML Model
  25. Intro to App-Handwriting
  26. Building Interface / Wiring Up
  27. Drawing on Screen
  28. Importing Core ML Model / Reading Metadata
  29. Utilizing Core ML / Vision to Make Prediction
  30. Handling / Displaying Prediction Results
  31. Intro to App -Core ML Photo Analysis
  32. What is Core ML?
  33. Creating X code Project
  34. Building Image VC in Interface Builder / Wiring Up
  35. Creating Image Cell
  36. Creating Food Items Helper File
  37. Creating Custom 3×3 Grid UI Collection View Flow Layout
  38. Choosing, Downloading, Importing Core ML Model
  39. Passing Images through Core ML Model
  40. Handling Core ML Prediction Results
  41. Challenge –Core ML Photo Analysis

About this course

Overview:

Welcome to "Machine Learning for Apps"! This course is tailored for app developers seeking to integrate machine learning capabilities into their applications. Machine learning has revolutionized app development, enabling apps to offer personalized experiences, predictive features, and intelligent functionalities. In this course, you'll learn how to leverage machine learning algorithms and techniques to enhance your apps, making them smarter, more efficient, and more user-friendly.

  • Interactive video lectures by industry experts
  • Instant e-certificate and hard copy dispatch by next working day
  • Fully online, interactive course with Professional voice-over
  • Developed by qualified first aid professionals
  • Self paced learning and laptop, tablet, smartphone friendly
  • 24/7 Learning Assistance
  • Discounts on bulk purchases

Main Course Features:

  • Comprehensive coverage of machine learning concepts and algorithms relevant to app development
  • Hands-on projects and coding exercises focusing on integrating machine learning models into apps
  • Exploration of popular machine learning libraries and frameworks suitable for app development
  • Guidance on data preprocessing, model training, and deployment in the context of app development
  • Real-world examples and case studies demonstrating machine learning applications in various types of apps
  • Access to resources and tools for building and testing machine learning-powered apps
  • Supportive online community for collaboration and assistance throughout the course
  • Regular assessments and feedback to track progress and reinforce learning

Who Should Take This Course:

  • App developers interested in incorporating machine learning features into their apps
  • Software engineers looking to expand their skill set to include machine learning for app development
  • Students and professionals aiming to enhance their app development skills with machine learning capabilities

Learning Outcomes:

  • Understand fundamental machine learning concepts and techniques relevant to app development
  • Integrate machine learning models seamlessly into mobile and web applications
  • Utilize popular machine learning libraries and frameworks such as TensorFlow or PyTorch for app development
  • Implement predictive features, recommendation systems, and other intelligent functionalities in apps
  • Optimize machine learning models for performance and efficiency in app environments
  • Debug and troubleshoot machine learning integration issues in apps effectively
  • Develop a portfolio of machine learning-powered apps showcasing proficiency in app development and machine learning integration
  • Stay updated with the latest advancements and trends in machine learning for app development.

Certification

Once you’ve successfully completed your course, you will immediately be sent a digital certificate. All of our courses are fully accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Our certifications have no expiry dates, although we do recommend that you renew them every 12 months.

Assessment

At the end of the Course, there will be an online assessment, which you will need to pass to complete the course. Answers are marked instantly and automatically, allowing you to know straight away whether you have passed. If you haven’t, there’s no limit on the number of times you can take the final exam. All this is included in the one-time fee you paid for the course itself.

Your certificate

CPD certificate — download it when you finish

Issued the moment you complete the final module. Every certificate lists the course aims and objectives, anticipated learning outcomes, the quality-assurance process — the elements required for verifiable CPD. Non-registrants can use it as CQC training evidence and for appraisals.

Aims & objectives Learning outcomes Unique certificate number

Common questions

Where do I take the course?

On the UISC learning portal. "Enrol now" takes you to this course there, where you pay securely, get your login and study at your own pace. Your certificate is issued there when you finish.

When can I start?

Immediately. Access opens the moment your order is confirmed and you can learn from any device, in any order, as many times as you like.

How is the course assessed?

A short multiple-choice or scenario-based assessment at the end of the course with instant results. You can retake it as many times as you need at no extra cost.

Can I enrol my whole team?

Yes. Organisations can buy multiple places on one invoice and receive a training record for every learner. Contact us for team pricing.

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