Getting Started with AI An Introduction to AI Basics

What you'll learn
Understand the fundamentals of artificial intelligence (AI) and its various types and applications.
Learn the different programming languages used to create AI applications.
Explore best practices and strategies for using AI in various business and personal applications.
Develop an understanding of the benefits and challenges of AI, as well as ethical considerations.
Gain the knowledge and skills needed to develop AI algorithms and use them for various tasks.
Requirements
No prior knowledge of AI is required to take this course. However, it is recommended that students have a basic understanding of programming and computer science concepts.
Description
This introductory course will provide students with a comprehensive overview of Artificial Intelligence (AI) and its potential to revolutionize the world. Through a combination of lectures and discussions, students will gain a fundamental understanding of how AI works and the various tools and algorithms used to create AI-driven applications. Students will learn the fundamentals of machine learning algorithms and approaches, natural language processing, computer vision, and robotics, as well as how to apply these tools to a variety of problems. They will explore the ethical considerations when using AI and best practices for data privacy, bias, and security. In addition, the course will provide an in-depth look into the latest AI trends, such as deep learning, reinforcement learning, and generative adversarial networks. Students will also have the opportunity to gain practical experience in the use of AI by working on an applied project that uses one of the tools or algorithms discussed in class. At the end of the course, students will have the knowledge and skills to begin developing AI-driven applications and the confidence to navigate the complex and ever-changing landscape of AI. Students will leave the course with a greater appreciation of the power of AI, as well as the awareness of the ethical implications of using AI technologies.
Overview
Section 1: Introduction
Lecture 1 Introduction to Artificial Intelligence: Fundamentals, Applications, and Program
Lecture 2 Introduction to Artificial Intelligence: Fundamentals, Applications, and Program
Section 2: Module 1: Introduction to Artificial Intelligence
Lecture 3 Introduction to Artificial Intelligence
Lecture 4 Introduction to Artificial Intelligence Video
Section 3: Module 2: AI Fundamentals
Lecture 5 AI Fundamentals
Lecture 6 2.1 Artificial Intelligence Fundamentals
Lecture 7 2.2 Artificial Intelligence (AI) Algorithms
Lecture 8 Examples of AI Fundamentals
Lecture 9 AI Fundamentals Video
Lecture 10 2.1 Artificial Intelligence Fundamentals Video
Lecture 11 2.2 Artificial Intelligence (AI) Algorithms Video
Section 4: Module 3 – AI Applications
Lecture 12 AI Applications
Lecture 13 3.1: AI Applications
Lecture 14 Examples of AI Applications
Lecture 15 AI Applications Video
Lecture 16 3.1 AI Applications Video
Section 5: Module 4: AI Programming Languages
Lecture 17 AI Programming Languages
Lecture 18 4.1 Introduction to AI Programming Languages
Lecture 19 Examples of AI Programming Languages
Lecture 20 AI Programming Languages Video
Lecture 21 4.1 Introduction to AI Programming Languages Video
Section 6: Module 5: Using AI
Lecture 22 Using AI
Lecture 23 Module 5.1: Introduction to Using AI
Lecture 24 Examples of using AI
Lecture 25 Using AI Video
Lecture 26 Module 5.1: Introduction to Using AI Video
This course is for anyone interested in gaining an understanding of artificial intelligence (AI) and its fundamentals, applications, and programming languages. It is suitable for beginners and experienced programmers alike, as it provides an overview of the basics of AI as well as tips and strategies for using AI in various business and personal applications.

Homepage

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