Introduction to AI

Introduction to AI, available at $44.99, has an average rating of 5, with 10 lectures, 1 quizzes, based on 1 reviews, and has 1 subscribers.

You will learn about Describe what is AI, its applications, use cases Explain – Machine Learning, Deep Learning and Neural Network Describe several issues and ethical concerns surrounding AI A light to future of AI This course is ideal for individuals who are Anyone interested to dive in AI It is particularly useful for Anyone interested to dive in AI.

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Summary

Title: Introduction to AI

Price: $44.99

Average Rating: 5

Number of Lectures: 10

Number of Quizzes: 1

Number of Published Lectures: 10

Number of Published Quizzes: 1

Number of Curriculum Items: 11

Number of Published Curriculum Objects: 11

Original Price: ?799

Quality Status: approved

Status: Live

What You Will Learn

Describe what is AI, its applications, use cases

Explain – Machine Learning, Deep Learning and Neural Network

Describe several issues and ethical concerns surrounding AI

A light to future of AI

Who Should Attend

Anyone interested to dive in AI

Target Audiences

Anyone interested to dive in AI

“Introduction to AI” is a fundamental course designed to provide a comprehensive overview of Artificial Intelligence (AI) concepts, methodologies, and real-world applications. Emphasizing a balanced mix of theoretical underpinnings and practical illustrations, students will embark on a journey to grasp the core principles of AI, encompassing machine learning, neural networks, natural language processing, computer vision, and robotics.

Beyond just exploring the technical aspects, this course delves into the historical evolution of AI, its present landscape, and future trajectories, all while shining a light on the ethical dilemmas and societal impacts intertwined with its advancement.

With a keen focus on industry relevance, the curriculum illuminates how AI permeates diverse sectors such as healthcare, finance, and autonomous vehicles, elucidating its potential to revolutionize workflows and outcomes. Moreover, poignant discussions surrounding the societal ramifications of AI, including issues of job displacement and bias, serve as catalysts for ethical introspection and conscientious AI development practices.

Ultimately, upon completing the course, students will emerge equipped with a robust comprehension of AI fundamentals, equipping them to pursue further academic pursuits or career pathways in AI-related domains with not only technical prowess but also a heightened ethical consciousness. This holistic approach ensures that learners are not only adept at harnessing AI technologies but also mindful of their broader implications, fostering responsible innovation and societal progress.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Understanding Artificial Intelligence: Definition and Brief History

Lecture 2: Introduction to AI

Chapter 2: Applications

Lecture 1: Applications of AI in different domains

Chapter 3: Types of AI

Lecture 1: Types of AI: Narrow AI vs. General AI

Chapter 4: Problem-Solving Techniques in AI

Lecture 1: Comprehensive Guide to Problem-Solving Techniques in AI

Lecture 2: Exploring Uninformed Search Algorithms in Artificial Intelligence

Lecture 3: Mastering Informed Search Algorithms in Artificial Intelligence

Lecture 4: Concepts and terminologies

Chapter 5: Future with AI

Lecture 1: Understanding Heuristic Functions and Their Crucial Role in Search Algorithms

Lecture 2: Ethic and Future of AI

Instructors

Dr. Ateendra Jha
Mentor at CHEARS || GenAI Expert

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Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

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