Fundamentals Of Artificial Intelligence faq

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Acquire a broad understanding of AI principles and practices to tackle complex real-world problems. This course covers a wide range of AI topics to provide you with an overview of the field.

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Course Feature

costCost:

Free

providerProvider:

Swayam

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No Information

languageLanguage:

English

start dateStart Date:

Self Paced

Course Overview

❗The content presented here is sourced directly from Swayam platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [April 17th, 2023]

This course provides an introduction to the fundamentals of Artificial Intelligence (AI). In the first week, students will learn about AI and problem solving by search. In the second and third weeks, students will explore problem solving by search in more depth. The fourth and fifth weeks will focus on knowledge representation and reasoning. In the sixth week, students will learn about reasoning under uncertainty. The seventh and eighth weeks will cover planning and decision making. The ninth, tenth, and eleventh weeks will focus on machine learning. Finally, in the twelfth week, students will review and discuss the topics covered in the course.

[Applications]
After completing this course, students should be able to apply the fundamentals of Artificial Intelligence to solve real-world problems. They should be able to use search algorithms to find solutions to problems, represent and reason with knowledge, reason under uncertainty, plan and make decisions, and use machine learning techniques to build intelligent systems. Additionally, they should be able to identify and evaluate the strengths and weaknesses of different AI techniques.

[Career Paths]
1. Artificial Intelligence Engineer: Artificial Intelligence Engineers are responsible for developing and deploying AI-based solutions to solve complex problems. They must have a strong understanding of AI algorithms, data structures, and software engineering principles. They must also be able to design and implement AI systems that are robust, reliable, and secure. As AI technology continues to evolve, Artificial Intelligence Engineers will be in high demand to develop and maintain AI-based solutions.

2. Machine Learning Engineer: Machine Learning Engineers are responsible for developing and deploying machine learning models to solve complex problems. They must have a strong understanding of machine learning algorithms, data structures, and software engineering principles. They must also be able to design and implement machine learning systems that are robust, reliable, and secure. As machine learning technology continues to evolve, Machine Learning Engineers will be in high demand to develop and maintain machine learning models.

3. Data Scientist: Data Scientists are responsible for analyzing large datasets to uncover insights and patterns. They must have a strong understanding of data analysis techniques, data structures, and software engineering principles. They must also be able to design and implement data analysis systems that are robust, reliable, and secure. As data science technology continues to evolve, Data Scientists will be in high demand to develop and maintain data analysis solutions.

4. Robotics Engineer: Robotics Engineers are responsible for designing and developing robots for various applications. They must have a strong understanding of robotics algorithms, data structures, and software engineering principles. They must also be able to design and implement robotic systems that are robust, reliable, and secure. As robotics technology continues to evolve, Robotics Engineers will be in high demand to develop and maintain robotic solutions.

[Education Paths]
1. Bachelor of Science in Artificial Intelligence: This degree program provides students with a comprehensive understanding of the fundamentals of artificial intelligence, including problem solving, knowledge representation, reasoning, planning, and machine learning. Students will learn how to apply these concepts to real-world problems and develop the skills necessary to design and implement AI-based solutions. The degree program is designed to prepare students for a career in the rapidly growing field of AI.

2. Master of Science in Artificial Intelligence: This degree program provides students with an advanced understanding of the principles and techniques of artificial intelligence. Students will learn how to develop and apply AI-based solutions to complex problems. The degree program is designed to prepare students for a career in the rapidly growing field of AI, and to provide them with the skills necessary to become leaders in the field.

3. Doctor of Philosophy in Artificial Intelligence: This degree program provides students with an in-depth understanding of the principles and techniques of artificial intelligence. Students will learn how to develop and apply AI-based solutions to complex problems. The degree program is designed to prepare students for a career in the rapidly growing field of AI, and to provide them with the skills necessary to become experts in the field.

4. Certificate in Artificial Intelligence: This certificate program provides students with an introduction to the fundamentals of artificial intelligence, including problem solving, knowledge representation, reasoning, planning, and machine learning. Students will learn how to apply these concepts to real-world problems and develop the skills necessary to design and implement AI-based solutions. The certificate program is designed to provide students with the skills necessary to pursue a career in the rapidly growing field of AI.

Course Provider

Provider Swayam's Stats at AZClass

Fundamentals of Artificial Intelligence gives you a broad understanding of artificial intelligence principles and practices to solve complex real-world problems. Learners can learn the basics of artificial intelligence from this course. In the first week, they will learn about artificial intelligence and problem solving through search. In weeks two and three, they will learn about problem solving through search, which involves using algorithms to find solutions to problems. In weeks four and five, they will learn about knowledge representation and reasoning including representing knowledge in a way that can be used to solve problems.

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faq FAQ for Artificial Intelligence Courses

Q1: How do I contact your customer support team for more information?

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