Learning Artificial Intelligence (AI) at a young age opens up numerous possibilities. It not only equips kids with essential skills for the future but also fosters creativity and critical thinking. AI knowledge is crucial in various fields, and early exposure can lead to exciting career opportunities.

Equipping Kids with Essential Skills

• Technical Proficiency: Early AI education helps children develop a strong foundation in coding, data analysis, and machine learning concepts.
• Problem-Solving Abilities: Understanding AI encourages kids to approach problems methodically and think logically.

Fostering Creativity and Critical Thinking

AI education promotes innovative thinking as students learn to create and improve AI models. It also enhances their ability to critically evaluate the ethical implications of AI technology.

Course Objectives

Artificial Intelligence (AI) is becoming smarter day by day in all business functions to elevate performances. AI is used widely in gaming, media, finance, robotics, quantum science, autonomous vehicles, and medical diagnosis. AI technology is a crucial prerequisite of much of the digital transformation taking place today as organizations position themselves to capitalize on the ever-growing amount of data being generated and collected. To build a successful career in Artificial Intelligence (AI), this course is intended to give a complete understanding of Artificial Intelligence concepts. This course offers you get practical, hands-on experience to ensure hassle-free execution of real-life projects. This AI course leverages world-class industry expertise in making you professional data science experts.

Skills You Will Learn

• Understand the basics of AI and how these technologies are re-defining the AI industry
• Learn the key terminology used in AI space
• Learn major applications of AI through use cases

Who Should Take This Course?

Neo Academy Pro’s course on Artificial Intelligence (AI) gives you the basic knowledge of Artificial Intelligence. This course doesn’t need any programming skills and is best suited for:

• Management and non-technical participants
• Students who want to learn Artificial Intelligence
• Newbies who are not familiar with AI or its implications

Course Curriculum

Week 1 & 2: Introduction to AI

• What is AI?
• History of AI
• AI in everyday life
• Simple AI projects

Week 3 & 4: Understanding Algorithms

• What is an algorithm?
• Creating simple algorithms
• Sorting and searching algorithms

Week 5 & 6: Basics of Programming

• Introduction to Python
• Variables, data types, and operators
• Basic input/output operations

Week 7 & 8: Control Structures

• Conditional statements
• Loops
• Practical exercises

Week 9 & 10: Introduction to Machine Learning

• What is machine learning?
• Types of machine learning
• Supervised vs unsupervised learning

Week 11 & 12: Data Handling & Preprocessing

• Collecting data
• Cleaning and preprocessing data
• Basic data visualization

Week 13 & 14: Building a Simple ML Model

• Training and testing data sets
• Building a simple linear regression model
• Evaluating model performance

Week 15 & 16: Neural Networks & Deep Learning

• Introduction to neural networks
• Basics of deep learning
• Building a simple neural network

Week 17 & 18: AI in Games

• AI in video games
• Creating simple game AI
• Practical game AI project

Week 19 & 20: Natural Language Processing (NLP)

• Introduction to NLP
• Basic text processing
• Building a simple chatbot

Week 21 & 22: AI Ethics & Future

• Ethical considerations in AI
• The future of AI
• Career opportunities in AI

Week 23 & 24: Final Project & Presentation

• Students work on their AI projects
• Presentation of projects
• Course wrap-up and feedback