What you'll learn

You are going to learn various concepts of AI

You are going to learn learn the various types models in AI

You are going to learn Architecture of AI

You are going to learn various concepts of comparations of AI

Requirements

You need to have internet to take this course

Description

Artificial intelligence refers to the development of computer systems capable of performing tasks that typically require human intelligence. These tasks include reasoning, learning, problem-solving, understanding language, and perceiving environments. AI encompasses a wide range of techniques and applications, from simple algorithms to complex systems capable of mimicking human cognition.AI can be categorized into two main types: narrow AI and general AI. Narrow AI, or weak AI, is designed to perform specific tasks, such as voice assistants, recommendation algorithms, and self-driving cars. General AI, or strong AI, refers to systems that possess the ability to perform any intellectual task that a human can do, although this level of AI remains theoretical at present. The potential benefits of AI are vast, ranging from healthcare innovations, such as early disease detection, to automating tedious tasks, which can increase productivity and efficiency. However, AI also raises ethical concerns, such as job displacement, privacy violations, and the development of autonomous weapons. The creation of AI systems that are transparent, accountable, and aligned with human values is critical for ensuring that AI is used responsibly.AI represents a transformative technology with the potential to revolutionize industries and improve quality of life. As it continues to evolve, understanding its core principles and societal impact is essential for harnessing its full potential while mitigating associated risks.

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 Comparation Chart

Lecture 3 Various types of models

Lecture 4 Lambda functions

Lecture 5 Architecture of Resources in AI

Lecture 6 RAG basics in AI

Lecture 7 Resources to learn

If you want to learn with detailed examples for every concept, this course will be for you