Scratch + AI — Level 2 Live
An intermediate live course where learners build intelligent Scratch and mobile-app projects using speech, computer vision, pose detection and image recognition with instructor guidance.
About this product
Build Smarter AI Projects with Live Guidance
Scratch + AI — Level 2 Live is an instructor-led intermediate programme for learners who already understand basic Scratch coding and are ready to explore more advanced artificial-intelligence applications.
Learners work on projects involving speech sentiment analysis, home automation, sign-language identification, pose detection, voice-controlled calculations, image recognition, language translation, chatbots and face recognition.
Each session combines concept explanation, live demonstration and guided project development. Learners can ask questions, receive feedback and solve technical challenges with the support of an instructor.
Why choose Level 2?
This programme helps learners progress from basic coding activities to more intelligent and responsive applications.
The live format provides:
Step-by-step instructor guidance
Real-time doubt clarification
Structured intermediate-level learning
Practical project support
Feedback during project development
Exposure to different AI tools
Greater confidence in independent creation
What is included
10 live instructor-led sessions
10 hands-on AI projects
10 quizzes and knowledge checks
1 capstone project
Live demonstrations
Real-time doubt clarification
Project feedback
Mentor support
Learning resources
Course-completion certificate
What learners will explore
Speech and sentiment analysis
Understand how AI can recognise speech and classify it as positive, negative or neutral.
Machine learning and automation
Create simple programmes that respond to inputs and automate selected tasks.
Computer vision
Explore how machines identify signs, faces, gestures and objects.
Pose detection
Build interactive applications that respond to human movement.
Voice-controlled applications
Create programmes that listen to spoken instructions and perform actions.
Mobile AI applications
Use MIT App Inventor to develop translators, chatbots and recognition-based applications.
Live session journey
Session 1 — Speech Sentiment Analysis
Create a programme that listens to speech and identifies whether the sentiment is positive, negative or neutral.
Session 2 — Home Automation
Build a simple automation project and explore machine learning, perceptual processing and text classification.
Session 3 — Sign-Language Identification
Explore computer vision and machine learning by creating a project that identifies selected signs.
Session 4 — Face Filter
Create an interactive face filter using image recognition and classification.
Session 5 — Pose-Controlled Flappy Bird
Build a Flappy Bird-style game in which the character follows the learner’s movement using pose detection.
Session 6 — AI Voice Calculator
Create a voice-driven calculator that performs basic arithmetic operations.
Session 7 — Object Recognition App
Use MIT App Inventor to create an application that identifies what the camera is viewing.
Session 8 — Language Translator App
Develop an AI-powered language translator and explore its real-world applications.
Session 9 — Conversational Chatbot
Build a chatbot and understand how supervised learning supports conversational assistants.
Session 10 — Face Recognition App
Create an application that recognises and identifies different faces using image classification.
What learners will build
Speech sentiment analyser
Home-automation project
Sign-language identifier
Interactive face filter
Pose-controlled Flappy Bird game
Voice-controlled AI calculator
Object-recognition mobile application
Language-translator application
Conversational chatbot
Face-recognition application
Learning outcomes
By the end of the programme, learners should be able to:
Apply intermediate Scratch coding concepts
Understand speech and sentiment analysis
Build simple automation applications
Use computer vision in practical projects
Create movement-controlled games using pose detection
Develop voice-enabled applications
Build mobile applications using MIT App Inventor
Explore image recognition and classification
Create beginner-level conversational AI applications
Complete projects with greater independence
Skills developed
Intermediate visual coding
Artificial-intelligence application
Computational thinking
Computer vision
Speech processing
Image classification
Pose detection
Mobile-app development
Logical reasoning
Creative problem-solving
Project presentation
Digital confidence
Who this programme is for
This course is suitable for:
Learners who have completed Scratch + AI Level 1
Children with basic Scratch coding experience
Learners interested in AI applications and mobile apps
Learners ready to work on more challenging projects
Children who benefit from live instructor support
Schools and learning centres seeking an intermediate AI programme
Prerequisite
Basic knowledge of Scratch coding is recommended.
Learners should be familiar with:
Scratch blocks
Events and sequences
Simple conditions
Basic project creation
Course delivery
Mode: Live online instructor-led classes
Language: English
Sessions: 10 live sessions
Learning format: Demonstration, guided practice, project building and review
Mentor support: Included during live sessions
Certificate: Included after successful completion
Batch information
Batch start date: To be announced
Class days: To be announced
Class timing: To be announced
Session duration: To be confirmed
Batch size: To be confirmed
Technical requirements
Learners will require:
Laptop or desktop computer
Stable internet connection
Webcam
Microphone or headset
Supported modern web browser
Scratch access
MIT App Inventor access
Required AI extensions and tools
Quiet learning environment
A smartphone may be required to test selected MIT App Inventor projects, but it is not a substitute for the main laptop or desktop.
How it works
1. Enrol
Select the course and complete the payment.
2. Receive confirmation
Get enrolment confirmation through WhatsApp or email.
3. Complete onboarding
Receive the batch schedule, joining instructions and technical setup details.
4. Attend live classes
Join the scheduled sessions and learn directly with the instructor.
5. Build guided projects
Create intermediate Scratch and AI applications with mentor support.
6. Complete the programme
Finish the required sessions, quizzes, projects and capstone activity.
7. Receive the certificate
Get the course-completion certificate after successful completion.
Assessment and completion
Learner progress may be evaluated through:
Attendance
Participation in live sessions
Lesson-based activities
Quizzes
Practical projects
Capstone-project completion
Instructor review
The learner must complete the required activities to receive the certificate.
Certification
Learners who complete the required sessions, projects, quizzes and capstone activity will receive a course-completion certificate.
Product summary
Recommended age: 10+
Level: Intermediate
Delivery: Live online
Sessions: 10
Projects: 10
Quizzes: 10
Capstone project: 1
Language: English
Mentor guidance: Included
Certificate: Included
Device required: Laptop or desktop
Confirmation: Within 24 working hours
GST: Included in the displayed price
Enrolment confirmation
After successful payment, confirmation will be shared through WhatsApp or email within 24 working hours.
The message will include:
Batch details
Class schedule
Joining instructions
Technical requirements
Learning-platform information
Support contact details
Attendance policy
Learners are expected to attend all scheduled sessions.
Missed classes may not be repeated individually.
Recordings will be provided only when included in the selected batch.
Batch transfers are subject to availability and approval.
Learners should join on time with the required device and internet access.
Cancellation and refund policy
Once payment is completed, the programme fee is non-refundable.
Enrolment cannot automatically be transferred to another learner.
Batch changes are subject to availability and approval.
Wisdom Global Service may reschedule a session due to unavoidable circumstances.
Official schedule changes will be communicated through WhatsApp or email.
Frequently asked questions
Does my child need previous coding experience?
Yes. Basic Scratch coding knowledge or completion of Level 1 is recommended.
What is different about Level 2?
Level 2 introduces speech processing, computer vision, pose detection, image recognition and mobile-app development.
Will learners build mobile applications?
Yes. Selected projects use MIT App Inventor to create translators, chatbots and recognition-based applications.
Is a laptop required?
Yes. A laptop or desktop is required for coding and project development.
Is a smartphone required?
A smartphone may be useful for testing selected mobile-app projects.
Will learners receive instructor support?
Yes. The course includes live guidance, doubt clarification and project feedback.
Will learners receive a certificate?
Yes. A course-completion certificate will be issued after successful completion.
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