Introduction To Artificial Intelligence

About Course

Students will learn about the history of AI and its current state of the art, as well as the potential future applications of AI. The course will also explore the various subfields within AI, such as machine learning, natural language processing, and computer vision, and will introduce students to the underlying mathematical concepts and techniques used in these areas.

Overall, this course is designed to provide students with a solid foundation in the fundamental concepts and techniques of artificial intelligence and to introduce them to the various subfields within AI.

Understand the fundamentals of artificial intelligence and its various subfields such as machine learning, natural language processing and computer vision.
Learn about problem-solving techniques used in artificial intelligence and explore different search algorithms.
Study the applications of AI in various industries such as healthcare, finance, and transportation.
Learn about ethical considerations and safety measures related to AI.
Gain hands-on experience through coding exercises and projects.
How you can apply it to your current business

Course Content

Introduction To Artificial Intelligence
An overview of the field of artificial intelligence, including its history, current state of the art, and potential future applications.

Overview of the field of Artificial Intelligence

00:00
Historical Background And Current State Of AI

00:00
Different Types Of AI And Their Applications

00:00
Quiz

Problem Solving And Search
Learn about the different methods that can be used to solve problems using AI, such as rule-based systems, heuristics, and search algorithms.

Machine Learning
Basics of machine learning, including supervised and unsupervised learning, as well as more advanced topics such as deep learning and reinforcement learning.

Natural Language Processing:
explore the field of natural language processing (NLP), which deals with the interaction between computers and human language.

Computer Vision
Explore the field of computer vision, which deals with the ability of computers to interpret and understand visual information.

Robotics And AI-Controlled Systems
Cover the application of AI in robotics and other systems, such as self-driving cars, drones, and robots.

AI Ethics And Safety
Cover the ethical and safety issues associated with AI, such as bias, transparency, and explainability.

Final Project
Practice what you have learned by working on a project related to one of the topics covered in the course. This could involve developing a machine learning model, building a natural language processing system, or implementing a computer vision algorithm.

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About Course

What Will You Learn?

Course Content

Introduction To Artificial Intelligence An overview of the field of artificial intelligence, including its history, current state of the art, and potential future applications.

Overview of the field of Artificial Intelligence

Historical Background And Current State Of AI

Different Types Of AI And Their Applications

Quiz

Problem Solving And Search Learn about the different methods that can be used to solve problems using AI, such as rule-based systems, heuristics, and search algorithms.

Problem-Solving Techniques And Algorithms

Search Techniques

Heuristic Search And It’s Applications

Game Playing

Planning

Constraint Satisfaction

Expert Systems

Quiz

Machine Learning Basics of machine learning, including supervised and unsupervised learning, as well as more advanced topics such as deep learning and reinforcement learning.

Supervised Learning

Unsupervised Learning

Neural Networks

Deep Learning

Reinforcement Learning

Evaluation and Optimization

Applications

Quiz

Natural Language Processing: explore the field of natural language processing (NLP), which deals with the interaction between computers and human language.

Text Processing

Language Modeling

Named Entity Recognition

Part-of-Speech Tagging

Sentiment Analysis

Syntactic Parsing

Text Generation

Quiz

Computer Vision Explore the field of computer vision, which deals with the ability of computers to interpret and understand visual information.

Image Processing

Feature Detection and Extraction

Object Detection

Image Segmentation

Image Recognition

Scene Understanding

Computer Vision in Robotics

Quiz

Robotics And AI-Controlled Systems Cover the application of AI in robotics and other systems, such as self-driving cars, drones, and robots.

Robotics Fundamentals

Path Planning and Navigation

Perception for Robotics

Control Systems

Robotics in Industry

Human-Robot Interaction

AI-controlled Systems

Quiz

AI Ethics And Safety Cover the ethical and safety issues associated with AI, such as bias, transparency, and explainability.

Ethical considerations in AI

Fairness, Accountability, and Transparency in AI

AI and Privacy

AI and Explainability

AI and Governance

AI and Societal Impact

Safety in AI

Quiz

Final Project Practice what you have learned by working on a project related to one of the topics covered in the course. This could involve developing a machine learning model, building a natural language processing system, or implementing a computer vision algorithm.

Project Design and Implementation

Project Presentation

Project Evaluation

Student Ratings & Reviews

Resources

Support

Introduction To Artificial Intelligence
An overview of the field of artificial intelligence, including its history, current state of the art, and potential future applications.

Problem Solving And Search
Learn about the different methods that can be used to solve problems using AI, such as rule-based systems, heuristics, and search algorithms.

Machine Learning
Basics of machine learning, including supervised and unsupervised learning, as well as more advanced topics such as deep learning and reinforcement learning.

Natural Language Processing:
explore the field of natural language processing (NLP), which deals with the interaction between computers and human language.

Computer Vision
Explore the field of computer vision, which deals with the ability of computers to interpret and understand visual information.

Robotics And AI-Controlled Systems
Cover the application of AI in robotics and other systems, such as self-driving cars, drones, and robots.

AI Ethics And Safety
Cover the ethical and safety issues associated with AI, such as bias, transparency, and explainability.

Final Project
Practice what you have learned by working on a project related to one of the topics covered in the course. This could involve developing a machine learning model, building a natural language processing system, or implementing a computer vision algorithm.