Introduction to Artificial Intelligence

Name: Introduction to Artificial Intelligence
Rating: 4.4 (195 reviews)

Master the Fundamentals of AI and Unlock its Potential

Created byJustin Adair

Last updated 7/2023

English

What you'll learn

Understand the key concepts and principles of Artificial Intelligence, including machine learning, deep learning, reinforcement learning, and natural language p
Apply various Artificial Intelligence techniques and algorithms to real-world problems and use cases.
Implement machine learning and deep learning models using popular programming languages such as Python.
Evaluate and compare different Artificial Intelligence models and algorithms based on their performance and suitability for specific tasks.
Gain hands-on experience through practical exercises, projects, and case studies to reinforce their learning and build practical skills in Artificial Intelligen

Course content

6 sections • 29 lectures • 1h 11m total length

Introduction to Artificial Intelligence3:32
Explore the history of artificial intelligence and how machine learning, NLP, and computer vision power applications from medical diagnosis to self-driving cars.
History of Artificial Intelligence2:00
Applications of Artificial Intelligence5:08
Discover how artificial intelligence transforms health care, finance, manufacturing, and customer service through disease diagnosis, fraud detection, automation, natural language processing, and personalized medicine with chatbots.
Emerging Trends in Artificial Intelligence4:14
Explore emerging trends in artificial intelligence, including explainable AI, edge computing, and sustainability applications. Examine ethics, generative AI, AI and robotics, and human AI collaboration shaping responsible, innovative deployments.
Introduction to Artificial Intelligence

Machine Learning3:33
Machine learning lets systems learn from data without explicit programming and includes supervised, unsupervised, and reinforcement approaches with applications like spam filtering, image recognition, and natural language processing.
Machine Learning Basics2:26
Different Types of Machine Learning Algorithms2:03
Supervised Learning2:02
Unsupervised Learning2:05
Reinforcement Learning2:06
Reinforcement learning trains an agent to maximize rewards and minimize punishments by trial and error in an environment. Apply to games, robotics, finance, and healthcare.
Machine Learning

Natural Language Processing (NLP)3:22
Explore how NLP enables computers to analyze text, translate languages, recognize speech, and answer questions by mapping tokens, tagging parts of speech, and identifying named entities and sentiment.
Natural Language Processing Basics1:29
Different Tasks of Natural Language Processing1:33
Sentiment Analysis1:33
Named Entity Recognition1:34
Machine Translation2:09
Natural Language Processing (NLP)

Deep Learning2:10
Explore how deep learning uses neural networks trained on data to adjust weights and enable applications from image recognition and speech recognition to medical diagnoses and trading.
Natural Language Generation3:10
Explore natural language generation: automatic production of human-like text for chat bots, text generators, and machine translation; it understands input, generates and formats text, with notable advantages and limitations.
Neural Networks2:42
Explore neural networks, a machine learning algorithm inspired by the brain, where interconnected neurons learn by adjusting weights to minimize error, enabling image recognition, speech recognition, and natural language processing.
Robotics2:10
Trace the history from the early 1900s to the 1970s in manufacturing, summarize major robot types: industrial, service, military, personal, and preview how future robots may assist daily living.

Requirements

Basic understanding of programming concepts and some experience with programming languages such as Python.
Familiarity with basic mathematics, including linear algebra, probability, and statistics.
Eagerness to learn and explore new technologies in the field of Artificial Intelligence, regardless of prior experience or background.
A computer with internet access and the ability to install necessary software for coding and implementation of Artificial Intelligence models.

Description

What You'll Learn:

- Understand the fundamentals of Artificial Intelligence and its applications in various industries

- Gain knowledge of machine learning algorithms and techniques

- Learn about natural language processing, computer vision, and other key AI concepts

- Explore real-world examples of how AI is transforming businesses and society

- Understand the ethical considerations of AI, including data privacy, fairness, and accountability

- Participate in hands-on exercises and practical applications of AI techniques

- Collaborate with fellow learners in a supportive community

- Learn from experienced instructors who are passionate about teaching and guiding you on your AI journey

Description:

Welcome to the exciting world of Artificial Intelligence! This course is designed to provide you with a solid foundation in AI concepts and techniques. Whether you're a beginner or already have some knowledge of AI, this course will equip you with the skills needed to understand and apply AI in various industries.

Through hands-on exercises, real-world examples, and practical applications, you'll learn about machine learning algorithms, natural language processing, computer vision, and other key AI concepts. You'll gain an understanding of how AI is transforming businesses and society, and how you can leverage its power to solve complex problems.

In addition to technical skills, we'll also delve into the ethical considerations of AI, including data privacy, fairness, and accountability. We believe in responsible AI practices to ensure a better future for everyone.

You'll have access to experienced instructors who are passionate about teaching and guiding you on your AI journey. Plus, you'll be part of a supportive community of fellow learners, ready to collaborate and learn together.

Join us on this exciting journey into the realm of Artificial Intelligence! Enroll now and unlock the potential of AI to shape the future. Don't miss out!

Who this course is for:

Individuals with basic knowledge of Artificial Intelligence who want to deepen their understanding and skills in the field.
Beginner level learners who are interested in starting a career in Artificial Intelligence or related fields.
Professionals who want to apply Artificial Intelligence techniques in their business or work environment.
Students who have taken introductory courses in Artificial Intelligence and want to further expand their knowledge and expertise.
Anyone with a high interest in Artificial Intelligence and a desire to learn and explore new technologies and applications in the field.

Introduction to Artificial Intelligence

What you'll learn

Explore related topics

Course content

Introduction4 lectures • 15min

Machine Learning6 lectures • 14min

Natural Language Processing (NLP)6 lectures • 12min

Computer Vision6 lectures • 12min

Ethics of Artificial Intelligence3 lectures • 8min

Advanced Topics4 lectures • 10min

Requirements

Description

Who this course is for: