Artificial Intelligence

Class Age

10 years and above

Time

Personalized schedule for each student.

Duration

24 | 48 | 96 sessions

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Course Overview​

Trusity’s AI program cultivates a deep understanding of AI’s vast landscape. Beginners delve into core AI concepts, problem-solving coding, and practical applications in gaming, image sorting, and home automation. Intermediate learners advance into robotic fundamentals, microcontrollers, and AI integration for robotics, crafting recognition systems.

The advanced stage deepens AI comprehension across diverse domains: executing ML projects, crafting AI apps for accessibility, IoT integration, and content creation. The program champions a pedagogy where students Discover, Develop, and Explore AI concepts by fostering experimentation and creative idea generation. AI’s far-reaching impact on industries and its role as a technological trailblazer remain central to this comprehensive learning journey.

Course Objectives

  • Foundational Understanding: Grasp core AI concepts, coding techniques, and project development using Scratch.
  • Practical Application Skills: Apply math, logic, and basic ML principles in real-world scenarios for problem-solving.
  • Hands-on AI Experience: Gain proficiency with AI models like face/object detection and audio classification.
  • Integration in Daily Life: Explore AI’s applications in gaming, image sorting, home automation, and chatbots.
  • Robotic Proficiency: Understand robot classification, microcontrollers, displays, and robot building.
  • Advanced AI Integration in Robotics: Implement ML for robot functions and recognition systems.
  • Complex AI Projects: Execute diverse ML projects, develop AI-powered apps, and integrate IoT with AI.
  • Wide-ranging AI Applications: Deepen AI understanding, from content creation to AI applications across various domains.

Topics

  • Topics for Beginners:
  1. AI Fundamentals: Grasp the core concepts and algorithms in AI.
  2. Coding for Problem-Solving: Use coding, control flow, and looping techniques.
  3. Project Development: Create staged projects and visualize programming concepts using block-based coding with Scratch.
  4. Sequential & Iterative Coding: Learn techniques to build games, Animations, Apps, and Websites.
  5. Real-world Application: Apply mathematics, logic, and basics of Machine Learning in practical scenarios.
  6. Hands-on AI Projects: Gain experience with AI models, such as face/object detection, audio classification, and attendance systems.
  7. AI in Daily Life: Explore AI’s role in gaming, image sorting, creating Alexa-like systems, home automation with voice commands, smart chatbots, and natural language processing.
  • Topics for Intermediate:
  1. Robotic Fundamentals: Understanding robot classification and applications.
  2. Microcontroller Essentials: Exploring microcontrollers and LED control.
  3. Display Control: Managing displays like 7-segment and LCD.
  4. Robot Control: Overseeing DC motors and monitoring via LCD.
  5. Robot Building: Creating robots – 4WD, obstacle avoiders, line followers, vacuum cleaners, and fire fighters.
  6. AI Integration: Implementing ML for face/object detection, home automation, delivery robots, and voice-controlled robots.
  7. Text & Image Recognition: Developing recognition systems in Scratch, Python, and App Inventor for text, image, and number recognition, along with attendance systems and gesture-controlled robots.
  • Topics for Advanced:
  1. AI Fundamentals: Understanding AI concepts and its application in various domains.
  2. Machine Learning Projects: Building projects like flower classification, fitness companion, autonomous shopping cart, and weather detector using ML.
  3. AI for Accessibility: Creating applications like sign language interpreter and emotion recognition mobile apps.
  4. App Development with AI: Utilizing App Inventor for image classification, Alexa messenger, AI-powered web browser, and chatbot apps.
  5. IoT Integration: Exploring IoT fundamentals and implementing home automation using messaging apps (WhatsApp, Telegram, Facebook, and Instagram) with ESP8266.
  6. AI in Content Creation: Developing AI-powered websites, generating video/animations, storytelling, understanding research papers, text-to-speech conversion, and image generation using AI.
  7. AI Application Development: Understanding and creating applications integrated with AI technologies for various purposes.

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