Search Algorithms in Artificial Intelligence with Java
What you’ll learn
Learn the core skills needed to become proficient with AI in Java in just 10 hours.
Obtain a fundamental understanding of AI and its practical use in Java.
Learn the most fundamental Artificial Intelligence search techniques.
Learn how to use different search methods to solve robot path planning problems and design a web crawler.
Learn how to apply the various AI techniques into your own projects.
Good understanding of Java programming language (intermediate level and above).
Familiarity with the Java GUI and Java API.
Good understanding of object-oriented programming (intermediate level and above).
Basic understanding of data structures
No prior knowledge of Artificial Intelligence is required
One area in Java development that is extremely hot right now is Artificial Intelligence.Java developers who understand how to develop Artificial Intelligence (AI) programs, or use the concepts in their projects, are in extremely high demand, and because there is only a relatively low number of Java developers who know and understand how to add AI to their projects, these skilled Java AI developers can command huge salaries.This course gives you the chance to join this small pool of well paid developers.Why learn AI as a Java Developer?AI adoption across all industries is exploding as more and more companies find out how AI can dramatically improve efficiency and reduce costs. It very much has practical uses in everyday development.AI is extremely useful in making applications smarter, and one of its main purposes is to allow automation of processes and systems so that complex tasks and functions are carried out in a way that is optimized for productivity and better performance.What does a Java Developer need to learn to use AI ?The first thing you need to understand to come up to speed and understand the state-of-the-art AI techniques taught in this course is the history of AI. A comprehensive AI history is included in the course.You then need to learn the different definitions of AI, which is also included in this course. Examples are also provided to help with understanding.Next is knowledge of the overall classification of AI algorithms and methods. Again included in this course.What is covered in the course?In addition to what has been mentioned above, you will come to understand what Uninformed and Informed search algorithms are, and their differences.You’ll then learn the most fundamental AI search techniques and be able to implement those techniques in Java.We’ll work with you to show you about a number of uninformed search techniques namely, Exhaustive search, Breadth First search, Depth First search and Iterative Depth First search.And then follow up with two informed search techniques namely Greedy search and A* search.By the end of this course, not only will you have a comprehensive understanding of AI, but you’ll be able to apply these concepts in your own Java projects.This is the very first Udemy course dedicated to AI search techniques.Included in this course are real-world case studies about robot path planning and web crawlers.You can check the syllabus on this page for a complete list of topics.Is this course for you?This is not a course for beginners. You need to have an understanding of Java, the Java GUI and the Java API. You should be comfortable with Java object-oriented programming.However, no Artificial Intelligence experience is required or assumed when you start the course.Who is the instructor?Your instructor in this course is Dr Seyedali Mirjalili. He is a lecturer and researcher with over 10 years of experience, who’s internationally recognised for his advances in Swarm Intelligence (SI) and optimisation.He has published more than 80 journal articles in the AI field and has over 6000 citations.He is also an editor of four leading AI journals and reviewer of over 100.During his career Dr Seyedali has built a name for himself as one of the most-cited researchers in Artificial Intelligence globally.As you can see the instructor is highly skilled and an expert in his field, and perfectly positioned to teach you about Search algorithms with AI using Java in this course.What if you have questions?As if this course wasn’t complete enough, Dr Seyedalil offers full support, and will answer any questions you may have.This means you’ll never find yourself stuck on one lesson for days on end. With his guidance, you’ll progress smoothly through this course without any major roadblocks.There’s no risk either!This course comes with a full 30 day money-back guarantee. Meaning if you are not completely satisfied with the course or your progress, simply let the instructor know and he will refund you 100%, every last penny no questions asked.You either end up with AI skills, go on to develop great programs and potentially make an awesome career for yourself, or you try the course and simply get all your money back if you don’t like it…You literally can’t lose.Ready to get started, developer?Enrol now using the “Add to Cart” button on the right, and get started on your way to creative, advanced AI brilliance. Or, take this course for a free spin using the preview feature, so you know you’re 100% certain this course is for you. See you on the inside (hurry, the AI class is waiting!)
Section 1: Introduction
Lecture 1 Introduction
Lecture 2 What is Artificial Intelligence?
Lecture 3 A Brief History of AI
Lecture 4 Class Diagram: Unified Modeling Language
Lecture 5 Search Methods in AI
Section 2: Uninformed (blind) Search Methods in AI
Lecture 6 Breadth First Search: Theory
Lecture 7 Breadth First Search: Implementation
Lecture 8 Breadth First Search: Application (web crawler)
Lecture 9 Depth First Search: Theory
Lecture 10 Depth First Search: Implementation
Lecture 11 Depth First Search: Application Part 1
Lecture 12 Depth First Search: Application Part 2
Lecture 13 Iterative Deepening Search: Theory
Lecture 14 Iterative Deepening Search: Implementation
Section 3: Informed (heuristic) Search Methods in AI
Lecture 15 Heuristic Search: Theory
Lecture 16 Heuristic Search: Implementation
Lecture 17 A* Search Algorithm: Theory
Lecture 18 A* Search Algorithm: Part 1
Lecture 19 A* Search Algorithm: Part 2
Section 4: Meta-heuristics Search Methods in AI
Lecture 20 Genetic Algorithms: Theory
Lecture 21 Genetic Algorithms: Coding Part 1
Lecture 22 Genetic Algorithms: Coding Part 2
Lecture 23 Robot Path Planning Using Genetic Algorithms
Section 5: Extra Information – Source code, and other stuff
Lecture 24 Source Code
Lecture 25 Bonus Lecture and Information
Students with Java skills seeking to move into the exciting and high paying area of Artificial Intelligence.
Udemy | English | 10h 22m | 11.36 GB
Created by: Tim Buchalka’s Learn Programming Academy