Course information

Introduction to Artificial Intelligence Course Outline

Module 1: What is Artificial Intelligence (AI)?

  • Introduction to Artificial Intelligence
    • Types of Artificial Intelligence
    • Various Kinds of Technologies
  • AI Approaches

Module 2: Application Areas of AI

  • AI in Healthcare
  • AI in Education
  • AI in Business
  • AI in Finance
  • AI in Law
  • AI in Manufacturing
  • Parents Disciplines of AI

Module 3: Artificial Intelligence and Related Fields

  • Logical AI
  • Search
  • Pattern Recognition
  • Knowledge Representation
  • Planning
  • Epistemology
  • Ontology

Module 4: Foundation of AI – Machine Learning

  • New Foundation
  • Machine Learning
  • Strengths and Limitations of Machine Learning Based AI
  • Machine Learning Methods 
    • Supervised Machine Learning Algorithms
    • Unsupervised Machine Learning Algorithms
    • Semi-Supervised Machine Learning Algorithms
    • Reinforcement Machine Learning Algorithms

Module 5: Agents and Environments

  • Agents
  • Agent Terminology
  • Structure of Intelligent Agents
  • Types of Agents
  • Nature of Environments
  • Properties of Environment

Module 6: Concept of Rationality

  • Rationality
  • Rational Agents
  • Perfect Rationality

Module 7: Fuzzy Logic Systems

  • About Fuzzy Logic
  • Purpose of Fuzzy Logic
  • Fuzzy Logic Systems Architecture (FLS)
  • Application Areas of Fuzzy Logic
  • Fuzzy Logic Systems Advantages

Module 8: Overview of Robotics

  • Machine Learning in ANNs
  • Aspects of Robotics
  • Robot Locomotion
  • Components of a Robot
  • Applications of Robotics

Module 9: Natural Language Processing

  • Introduction to NLP
  • Components of NLP
  • NLP Terminology
  • Steps in Natural Language Processing

Module 10: Neural Networks

  • Artificial Neural Networks
  • What is a Neural Network?
  • Types of Artificial Neural Networks
  • Working of Artificial Neural Networks

 

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Who should attend this Introduction to Artificial Intelligence Training Course?

The Introduction to Artificial Intelligence Course is a comprehensive course designed to equip participants with the foundational knowledge and skills required to understand, adapt, and harness future AI technologies. The following professionals can benefit from this course:

  • Software Developers
  • Data Analysts
  • Business Analysts
  • Healthcare Practitioners
  • Marketing Professionals
  • Data Scientists
  • Financial Analysts

Prerequisites of the Introduction to Artificial Intelligence Training Course

There are no formal prerequisites for Introduction to Artificial Intelligence Course.

Introduction to Artificial Intelligence Course Overview

Artificial Intelligence (AI) is a group of methodologies in which the core algorithms are implemented in power structures such as fuzzy logic systems, artificial neural networks, colony optimisation, genetic algorithm, particle swarm optimisation, simulated annealing, and evolutionary computing. It is accomplished by analysing how the human brain functions while solving problems and using these outcomes to develop intelligent software and systems. AI is a field that is actively and continuously growing and changing. Attending this training course will help individuals to enhance the skills required to become successful AI professionals. This course will allow individuals to master AI applications, machine learning, natural language processing needed to excel in this domain and kick-start their career in Artificial Intelligence.

In this 1-day Introduction to Artificial Intelligence Training course, delegates will get to know about various functions, features, and uses of Artificial Intelligence. They will learn about different concepts such as machine learning in ANN's, artificial neural networks, Natural Language Processing (NLP), types of agents, agent's terminology, and more. They will understand the crucial role of Artificial Intelligence in various fields like healthcare, business, education, finance, law, and manufacturing. Delegates will also learn about the strength and limitations of machine learning-based AI, machine learning methods, and supervised, unsupervised, and semi-supervised machine learning algorithms, which will help them enhance their skills of working with AI.

This course includes various essential concepts as following:

  • What is Artificial Intelligence (AI)?
  • Application areas of AI
  • Artificial Intelligence and related fields
  • Foundation of AI – machine learning
  • Concept of rationality
  • Fuzzy logic systems
  • Overview of robotics
  • Natural Language Processing (NLP)

At the end of this Introduction to Artificial Intelligence Training course, delegates will be able to able to work with fuzzy logic systems and machine learning tools. They can automate grading in the education sector with Artificial Intelligence's help and provide additional support to students with AI tutors. They may also be able to use AI automation within business sectors for repeatable tasks that humans usually handle.

After completing this Introduction to Artificial Intelligence training course, delegates can choose from The Knowledge Academy's wide range of courses from Artificial Intelligence & Machine Learning topic for enhancing their skills in the advancing world of AI.

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What’s included in this Introduction to Artificial Intelligence Training Course?

  • World-Class Training Sessions from Experienced Instructors 
  • Introduction to Artificial Intelligence Certificate 
  • Digital Delegate Pack

Why choose us

Our Minneapolis venue

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Minneapolis is the larger of the two cities that are known as the Twin Cities (Minneapolis and St Pauls).  It is the largest city in the state of Minnesota and has an estimated total population of around 410,000 people. Minneapolis and Saint Paul anchor the second-largest economic center in the Midwest. Education in the USA is provided by both public and private schools, and is mandatory until the age of 16.  Pupils conducting their schooling within the USA start off at preschool, followed by elementary school, then middle school, before finishing at high school.  At age 18, US citizens are able to engage in higher education.  Higher education in the USA normally comes in the form of a college, undergraduate school, or a community college – that latter of which doesn’t normally cost anything to attend.  Candidates participating in a course at a college will gain credits towards a bachelor’s degree, whilst candidates participating a course at a community college will be earning credits in order to achieve an associate’s degree. There are around 40,000 pupils enrolled in Minneapolis primary and secondary schools. There are around 100 schools including 45 elementary schools, 7 middle schools and 7 high schools. The Minneapolis school system has a graduate rate of 44% which makes it the 6th worst city from the country’s 50 biggest cities. The city is home to the main campus of the University of Minnesota. There are around 50,000 students attending this university, studying for undergraduate and graduate degrees. The school is ranked 123rd in the world rankings of universities, which makes it a top 50 ranked American school. The University of Minnesota was ranked highest in counseling and personnel services, chemical engineering, psychology, macroeconomics, applied mathematics and non-profit management. At The Knowledge Academy we offer over 50,000 classroom based training courses in the United States, including popular locations such as Minneapolis.

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Address

Fifth Street Towers
100 South Fifth Street
19th Floor
Minneapolis
Minnesota
55402

T: +1 7204454674

Ways to take this course

Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Introduction To AI Course in Minneapolis. Engage directly with expert instructors, mirroring the classroom schedule for a comprehensive learning journey. Enjoy the convenience of virtual learning without compromising on the quality of interaction.

Unlock your potential with The Knowledge Academy's Introduction To AI Course in Minneapolis, accessible anytime, anywhere on any device. Enjoy 90 days of online course access, extendable upon request, and benefit from the support of our expert trainers. Elevate your skills at your own pace with our Online Self-paced sessions.

Streamline large-scale training requirements with The Knowledge Academy's In-house/Onsite at your business premises. Experience expert-led classroom learning from the comfort of your workplace and engage professional development.

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