Master Basics of Artificial Intelligence course

Master Basics of Artificial Intelligence course, available at $54.99, has an average rating of 5, with 6 lectures, based on 15 reviews, and has 18 subscribers.

You will learn about Learn basics of Artificial intelligence and Deep Learning Master machine learning concepts Learn machine learning algorithms Learn Embedding AI Ethics in AI This course is ideal for individuals who are Data engineers and Artificial Engineering It is particularly useful for Data engineers and Artificial Engineering.

Enroll now: Master Basics of Artificial Intelligence course

Summary

Title: Master Basics of Artificial Intelligence course

Price: $54.99

Average Rating: 5

Number of Lectures: 6

Number of Published Lectures: 6

Number of Curriculum Items: 6

Number of Published Curriculum Objects: 6

Original Price: $34.99

Quality Status: approved

Status: Live

What You Will Learn

Who Should Attend

Target Audiences

Artificial Intelligence and Deep learning are two closely related fields that have revolutionized technology, driving advancements in everything from healthcare to finance. Both are subfields of computer science that focus on enabling machines to perform tasks that typically require human intelligence, but they operate at different levels of complexity and abstraction.

Deep learning is a specialized subfield of machine learning that is inspired by the structure and function of the human brain. It utilizes neural networks with many layers—hence the term “deep”—to model and understand complex patterns in data. Deep learning algorithms are particularly powerful in handling large volumes of unstructured data, such as images, audio, and text, making them ideal for tasks like image recognition, natural language processing, and autonomous driving.

Artificial Intelligence is the broader field that encompasses any technique or method that allows computers to mimic human intelligence. This includes a wide range of approaches, from rule-based systems to advanced machine learning algorithms. AI aims to create systems that can reason, learn, perceive, and interact with the environment in ways that are considered intelligent. Classic examples of AI include expert systems, which use predefined rules to make decisions, and natural language processing, which allows machines to understand and generate human language.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Advantages of Artifical Intelligence

Lecture 3: Machine learning topics

Lecture 4: Machine Learning Algorithms

Lecture 5: Embedding AI Ethics

Lecture 6: Challenges and Limitations of AI and ML

Instructors

Pavan Sai Lenka
Electrical engineer

Rating Distribution

Frequently Asked Questions

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