Introduction to AI

Service Description

Introduction to AI Workshop Welcome to the World of AI! Explore the fascinating basics of Artificial Intelligence (AI) and its significance in today's world. This course will help students understand key terms and concepts related to learning and intelligence. By the end of this workshop, students will gain confidence in AI, understanding its applications across various fields, and dive deeper into Neural Networks through simulations and model-building. Prerequisite Python Programming Course Content Module 1: Fundamentals of AI Introduction to AI: Overview of AI and its impact on modern technology. Neurons and Artificial Neural Networks: Understanding the biological inspiration behind AI and how neural networks function. Supervised and Unsupervised Learning: Exploring different learning methods and their applications. Sigmoid Neuron: Introduction to the basic building block of neural networks. Module 2: Advanced AI Concepts Back Propagation Algorithm: Learn the algorithm that enables neural networks to learn from errors. Training a Neural Network: Hands-on experience in training neural networks. Project: Build and train a neural network in Python to solve a real-life problem, applying the concepts learned throughout the course. Workshop Tenets Computer Concepts Through Storytelling, Puzzles, and Problems: Use engaging methods to explain complex AI concepts. Programming Basics Using Unified Modeling Language (UML): Visualize and understand the structure of AI programs. Design Thinking, Mind Mapping, and Problem Solving: Foster innovative thinking and systematic problem-solving skills. Project-Based Learning: Engage in real-world projects for deeper understanding and application of AI concepts. Grade Level: 7-9 Why Choose This Workshop? Expert Instruction: Learn from experienced educators who simplify complex AI concepts. Engaging Projects: Participate in practical projects that emphasize experiential learning. Collaborative Learning: Develop social skills and foster a sense of community by working in teams. Hands-On Experience: Enjoy a tactile and immersive learning environment focused on practical activities. Duration: 12 hrs (4 Days, 4 classes, 3hrs each) - 2 Weekends Schedule Day 1: Artificial Intelligence, Neurons, Artificial Neural Networks, Day 2: Supervised/Unsupervised Learning, Sigmoid Neuron Day 3: Back Propagation Algorithm Day 4: Training a Neural Network, Project, Presentation