Foundations of Artificial Intelligence
Explore the core principles of Artificial Intelligence, covering its applications and methodologies to understand its impact on technology and society.
Artificial Intelligence,Machine Learning,Science
Lectures -11
Duration -3 hours
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Course Description
Delve into the fundamental concepts of Artificial Intelligence (AI) in this comprehensive course. Beginning with an introduction to AI and its mathematical foundations, you'll progress through units on knowledge representation, machine learning, deep learning, natural language processing, computer vision, and robotics. Each unit offers insights into the methodologies and algorithms driving AI advancements without overwhelming technical jargon.
This course is designed to equip you with a solid understanding of how AI functions across various domains. You'll grasp the principles behind algorithms that power AI systems, gaining insights into their applications in everyday technology. Through engaging explanations and illustrative examples, you'll learn to appreciate AI's potential and its implications for future innovations.
By the end of the course, you'll have the knowledge to conceptualize and build AI applications, contributing to the evolving landscape of technology with confidence in understanding Artificial Intelligence.
Goals
- Gain insight into AI methodologies and applications.
- Understand mathematical foundations essential for AI.
- Comprehend knowledge representation and its significance.
- Explore machine learning and deep learning concepts.
- Learn about natural language processing and its uses.
- Discover computer vision techniques and their applications.
- Understand the fundamentals of robotics and its integration with AI.
Prerequisites
- Basic understanding of mathematics and algorithms.
- Interest in technology and its applications.
- Curiosity about Artificial Intelligence's impact on society.
Career Path
- AI Engineer
- Machine Learning Engineer
- Data Scientist
- Robotics Specialist
- AI Researcher
- Natural Language Processing Engineer
- Computer Vision Engineer
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Curriculum
Check out the detailed breakdown of what’s inside the course
Unit 01: Introduction to Artificial Intelligence
1 Lectures
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Module 01: Introduction to Artificial Intelligence 20:48 20:48
Unit 02: Mathematics for AI
1 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Unit 03: Knowledge Representation in AI – Part 1
1 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Unit 04: Knowledge Representation in AI - Part 2
1 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Unit 05: Machine Learning - Part 1
1 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Unit 06: Machine Learning - Part 2
1 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Unit 07: Deep Learning
1 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Unit 08: Natural Language Processing
1 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Unit 09: Computer Vision
1 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Unit 10: Robotics
1 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Unit 11: Building AI Applications
1 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Instructor Details
![Oscar Grant](https://www.tutorialspoint.com/assets/profiles/719688/profile/200_1815226-1695035787.png)
Oscar Grant
Skill UpSkill Up presents a rigorous online education experience, helping you obtain industry-relevant skills that are accepted around the world. We bring you the best courses that boost your skills. We provide accredited CPD courses that deliver eye-opening knowledge and insights on every vital aspect of the ever-evolving job market landscape. We are a pioneer in the online learning sphere.
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