One-Week App Development Bootcamp with MIT App Inventor

Age Group: 9 - 13 years
Duration: 1 week
Total Classes: 5 sessions (1 hour each)
Price: CAD 250
Popularity: Most in-demand course
Instructors: All Canadian, experienced in app development education
Learning Method: Hands-on exercises with MIT App Inventor
Assessment: Regular assignments and quizzes for comprehensive learning
Project Showcase: Opportunity to display projects on a public platform for recognition and feedback
Flexibility: Multiple timeslots to fit your schedule

Workshop Format:All workshops are conducted virtually in a group of maximum 10-15 individuals, allowing you to connect, learn, and grow from anywhere. Engage in live, interactive group settings that foster collaboration, discussion, and hands-on learning. Our expert instructors are here to guide you every step of the way.
Kids would need access to a device for attending sessions and use browser-based tools.

Session 1: Introduction to MIT App Inventor

Objective: Get familiar with MIT App Inventor and basic app development concepts.
Activities:

• Overview of MIT App Inventor and its interface.
• Understanding the basics of app development.
• Comparison of app development for Android vs. iOS.
• Introduction to various development environments.
• Introduction to block coding (visual programming) and how it simplifies app development.
• Hands-on activity: Create a simple "Hello World" app.

Session 2: Build Your First App

Objective: Learn to build a basic interactive app using MIT App Inventor.
Activities:

• Introduction to basic components (buttons, labels, text boxes).
• Building a simple interactive app using block coding.
• Hands-on activity: Create an app that responds to user input (e.g., a simple calculator).
• How to test and simulate apps using MIT App Inventor's built-in emulator and live testing features.

Session 3: Understanding Layouts and Sensors

Objective: Understand layout components and integrate sensors into an app.
Activities:

• Understanding different layout components (vertical, horizontal, table arrangements).
• Introduction to sensors (accelerometer, gyroscope) and their integration using block coding.
• Hands-on activity: Design a complex app layout using different arrangements and integrate sensor input (e.g., a shake-to-clear doodle app).

Session 4: Developing a Game

Objective: Learn the basics of game development using MIT App Inventor.
Activities:

• Basics of game development using MIT App Inventor.
• Introduction to canvas and sprite components with block coding.
• Hands-on activity: Develop a simple game (e.g., a ball bouncing game).

Session 5: Capstone Project and Presentation

Objective: Apply knowledge from previous sessions to create and present a final project.
Activities:

• Integrating knowledge from previous sessions.
• Project planning and execution using block coding.
• Hands-on activity: Start and present a capstone project of choice incorporating multiple elements learned throughout the week.
• Final testing and simulation of the capstone project to ensure functionality and performance.

Pricing Details

Total Cost: CAD 250

Key Takeaways:

• Comprehensive understanding of MIT App Inventor and its interface.
• Skills in block coding and visual programming.
• Experience in developing interactive apps and simple games.
• Ability to integrate sensors and design complex app layouts.
• Completion and presentation of a capstone project demonstrating learned skills.

Assessment and Support:

• Continuous support and guidance from experienced instructors.
• Opportunities for peer collaboration and feedback sessions.
• Regular hands-on activities and real-time testing to reinforce learning.

Final Outcome:By the end of this bootcamp, students will have a solid foundation in app development using MIT App Inventor, equipped with the skills to create interactive apps and games. They will gain confidence in handling app development projects and showcasing their work.

Month 1: Ideation and Design Mastery

Week 1: Innovative AI Ideation Techniques

• Session 1: Exploring AI Tools for Creative Thinking
• Objective: Learn to use AI tools like mind mapping and Miro board for ideation.
• Activities: Interactive workshops on mind mapping, using Miro for collaborative brainstorming.

Week 2: Prototyping and Interactive Design

• Session 2: Building Prototypes with AI Assistance
• Objective: Understand the process of creating prototypes for digital projects.
• Activities: Hands-on sessions on prototype design, using AI tools for layout and interaction design.

Week 3: Visual Identity and Branding

• Session 3: Crafting Visual Identity with AI
• Objective: Develop skills in logo creation and branding with AI tools.
• Activities: Designing logos, creating brand palettes, and developing brand guidelines using AI.

Week 4: Business Strategy and Planning

• Session 4: AI-Enhanced Business Planning
• Objective: Utilize AI for developing a business plan and market strategy.
• Activities: Workshop on AI tools for market analysis, business plan development.

Month 2: Development and Presentation Excellence

Week 5: Advanced Project Development

• Sessions 5 & 6: Initiating Capstone Project
• Objective: Begin the capstone project, integrating ideation and design principles.
• Activities: Defining project scope, setting milestones, starting development with AI guidance.

Week 6: Refinement and Advanced Presentation Skills

• Sessions 7 & 8: Enhancing and Presenting Your Project
• Objective: Refine the project and hone presentation skills.
• Activities: Iterating on project designs, practicing advanced presentation techniques with AI tools.

Week 7: Project Finalization and Peer Collaboration

• Sessions 9 & 10: Completing and Reviewing the Capstone Project
• Objective: Finalize the capstone project and engage in peer reviews.
• Activities: Final project adjustments, peer review sessions for constructive feedback.

Week 8: Green Belt Achievement and Celebration

• Session 11: The Green Belt Showcase
• Objective: Present the capstone project, demonstrating comprehensive AI skills.

Activities: Final presentations, celebrating achievements with a certification ceremony.

Age Group: 10-15 years
Duration: 2 months, with 8 sessions (1 session per week).
Session Length: 60 minutes each.
Popularity: Most in-demand course
Instructors: All Canadian, experienced in AI education
Learning Method: Hands-on exercises with AI tools
Assessment: Regular assignments and quizzes for comprehensive learning
Project Showcase: Opportunity to display projects on a public platform for recognition and feedback
Flexibility: Multiple timeslots to fit your schedule

Workshop Format:All workshops are conducted virtually in a group of maximum 10-15 individuals, allowing you to connect, learn, and grow from anywhere. Engage in live, interactive group settings that foster collaboration, discussion, and hands-on learning. Our expert instructors are here to guide you every step of the way.
Kids would need access to a device for attending sessions and use browser-based tools.Age Group: 10-15 yearsDuration: 2 months, with 8 sessions (1 session per week).Session Length: 60 minutes each.Popularity: Most in-demand courseInstructors: All Canadian, experienced in AI educationLearning Method: Hands-on exercises with AI toolsAssessment: Regular assignments and quizzes for comprehensive learningProject Showcase: Opportunity to display projects on a public platform for recognition and feedbackFlexibility: Multiple timeslots to fit your schedule
Workshop Format:All workshops are conducted virtually in a group of maximum 10-15 individuals, allowing you to connect, learn, and grow from anywhere. Engage in live, interactive group settings that foster collaboration, discussion, and hands-on learning. Our expert instructors are here to guide you every step of the way."*Kids would need access to device for attending session and use browser based tools

Course Outline

Week 1: Introduction to AI and Case Studies

Session 1: Understanding AI and Real-World Case Studies
Objective: Introduce the basics of AI and its applications.
Activities:

• Overview of AI concepts and its importance.
• Introduction to the Titanic dataset as a case study.
• Exploring how AI can be used to analyze real-world data.

Week 2: Getting Data from Kaggle

Session 2: Accessing and Downloading Data from Kaggle
Objective: Learn how to access and download datasets from Kaggle.
Activities:

• Introduction to Kaggle and its features.
• Step-by-step guide to downloading the Titanic dataset.
• Discussing the structure and contents of the dataset.

Week 3: Cleaning Data with GPT-4

Session 3: Data Cleaning Techniques Using GPT-4
Objective: Understand the importance of data cleaning and learn how to use GPT-4 for this purpose.
Activities:

• Introduction to data cleaning and preprocessing.
• Using GPT-4 to identify and fix issues in the Titanic dataset.
• Hands-on practice with cleaning data.

Week 4: Introduction to Python

Session 4: Basics of Python for Data Analysis
Objective: Introduce Python programming and its applications in data analysis.
Activities:

• Basic Python syntax and commands.
• Writing simple Python scripts to analyze data.
• Practice exercises with the Titanic dataset.

Week 5: Data Visualization with Matplotlib and Seaborn

Session 5: Creating Visualizations with Matplotlib and Seaborn
Objective: Learn how to visualize data using Python libraries.
Activities:

• Introduction to Matplotlib and Seaborn.
• Creating basic plots and graphs.
• Hands-on practice with visualizing the Titanic dataset.

Week 6: Advanced Data Visualization Techniques

Session 6: Enhancing Visualizations with Matplotlib and Seaborn
Objective: Explore advanced visualization techniques.
Activities:

• Customizing plots and graphs.
• Creating complex visualizations to uncover insights.
• Practice exercises with the Titanic dataset.

Week 7: Using Google Data Studio and Power BI

Session 7: Visualizing Data with Google Data Studio and Power BI
Objective: Learn to create interactive dashboards using visualization tools.
Activities:

• Introduction to Google Data Studio and Power BI.
• Creating interactive dashboards with the Titanic dataset.
• Hands-on practice with real-time data visualization.

Week 8: Project Showcase and Feedback

Session 8: Presenting Final Projects and Receiving Feedback
Objective: Present final projects and receive constructive feedback.
Activities:

• Students present their data analysis projects.
• Peer reviews and feedback from instructors.
• Celebrating achievements with a certification ceremony.

Key Takeaways:

• Basic understanding of AI concepts and applications.
• Skills in accessing and downloading datasets from Kaggle.
• Experience in cleaning data using GPT-4.
• Introduction to Python programming for data analysis.
• Mastery of data visualization using Matplotlib, Seaborn, Google Data Studio, and Power BI.
• Completion and presentation of a data analysis project for public recognition.

Assessment and Support:

• Regular assignments and quizzes to reinforce learning.
• Continuous support and guidance from experienced instructors.
• Opportunities for peer collaboration and feedback sessions.