About the Artificial Intelligence for Beginners Course
The Artificial Intelligence for beginners course will give you an overview of AI concepts and workflows, machine learning, deep learning, and performance metrics. Also, you will learn the difference between supervised, unsupervised, and reinforcement learning, So be exposed to use cases and see how clustering and classification algorithms help identify AI business applications.
What is Artificial Intelligence?
In simple words, Artificial intelligence (AI) is the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The term applied to any machine that exhibits traits associated with a human mind, such as learning and problem-solving.
Artificial intelligence’s ideal characteristic is its ability to rationalize and take actions that have the best chance of achieving a specific goal.
“Everything we love about civilization is a product of intelligence, so amplifying our human intelligence with artificial intelligence has the potential of helping civilization flourish like never before – as long as we manage to keep the technology beneficial”.
–Max Tegmark, President of the Future of Life Institute
Applications of Artificial Intelligence
Artificial intelligence has endless applications in many different sectors and industries. AI is being tested and used in the healthcare industry for dosing drugs and additional treatment methods in patients and for surgical procedures in the operating room.
Other examples of machines with artificial intelligence include computers that play chess and self-driving cars. In chess, the end result is winning the game. For self-driving cars, the computer system must account for all external data and compute it to act in a way that prevents a collision.
Artificial intelligence also has applications in the financial industry. It detects and flags banking and finance activity, such as unusual debit card usage and large account deposits, all of which helps in a bank’s fraud department. AI is also being used to help streamline and make trading more manageable by making the supply, demand, and pricing of securities easier to estimate.
What you will learn from this course
When you complete this Artificial Intelligence for Beginners course, you will be able to accomplish the following:
The meaning, purpose, scope, stages, applications, and effects of AI Fundamental concepts of machine learning and deep learning. The difference between supervised, semi-supervised, and unsupervised learning. Machine Learning workflow and how to implement the steps effectively. The role of performance metrics and how to identify their key methods:
Purpose of artificial intelligence technology
Concepts of deep learning and machine learning workflow
Supervised learning
Semi-supervised learning
Unsupervised learning
Simplilearn is a digital skills training leader, focused on the emerging technologies that are transforming our world. Their blended learning approach drives learner engagement backed by the industry’s highest completion rates. Partnering with professionals and companies, They identify their unique needs and provide outcome-centric solutions to help them achieve their professional goals.
Syllabus
Lesson 01 – Decoding Artificial Intelligence
Decoding Artificial Intelligence
Meaning, Scope, and Stages Of Artificial Intelligence
Three Stages of Artificial Intelligence and Applications of Artificial Intelligence
Image Recognition and Applications of Artificial Intelligence with Examples
Effects of Artificial Intelligence on Society and Supervises Learning for Telemedicine
Benefits Multiple Industries
Lesson 02 – Fundamentals of Machine Learning and Deep Learning
Fundamentals Of Machine Learning and Deep Learning
Meaning of Machine Learning & Relationship between Machine Learning and Statistical Analysis
Process of Machine Learning & Types of Machine Learning
Meaning of Unsupervised Learning & Semi-supervised Learning
Algorithms of Machine Learning, Regression, and Naive Bayes Classification
Artificial Neural Network Definition and Definition of Perceptron
Lesson 03 – Machine Learning Workflow
Machine Learning Workflow and Transform Features
Lesson 04 – Performance Metrics
Performance Metrics Need For Performance Metrics and Key Methods
Confusion Matrix Example and Terms Of Confusion Matrix
Minimize False Cases and False Positive Example
Accuracy, Precision, Recall Or Sensitivity, Specificity, and F1 Score
Pre-requisites
There are no prerequisites for opting for this Artificial Intelligence for Beginners course. It does not require programming or IT background, making it ideal for professionals from all walks of corporate life.
Note: Your review matters
If you have already done this course, kindly drop your review in our reviews section. It would help others to get useful information and better insight into the course offered.
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Simplilearn
Online Course
Self-paced
Beginner
Less Than 24 Hours
Paid Course (Paid certificate)
English
Artificial intelligence Deep learning Machine learning
Learning Experience
9.4
PROS: No need to have any programming or IT background.
Designed in a systematic manner.
Courses are well structured with self-learning, live classes, and assessments.
CONS: Lengthy preliminary content
It should have detail practical information.
About the Artificial Intelligence for Beginners Course
The Artificial Intelligence for beginners course will give you an overview of AI concepts and workflows, machine learning, deep learning, and performance metrics. Also, you will learn the difference between supervised, unsupervised, and reinforcement learning, So be exposed to use cases and see how clustering and classification algorithms help identify AI business applications.
What is Artificial Intelligence?
In simple words, Artificial intelligence (AI) is the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The term applied to any machine that exhibits traits associated with a human mind, such as learning and problem-solving.
Artificial intelligence’s ideal characteristic is its ability to rationalize and take actions that have the best chance of achieving a specific goal.
“Everything we love about civilization is a product of intelligence, so amplifying our human intelligence with artificial intelligence has the potential of helping civilization flourish like never before – as long as we manage to keep the technology beneficial”.
–Max Tegmark, President of the Future of Life Institute
Applications of Artificial Intelligence
Artificial intelligence has endless applications in many different sectors and industries. AI is being tested and used in the healthcare industry for dosing drugs and additional treatment methods in patients and for surgical procedures in the operating room.
Other examples of machines with artificial intelligence include computers that play chess and self-driving cars. In chess, the end result is winning the game. For self-driving cars, the computer system must account for all external data and compute it to act in a way that prevents a collision.
Artificial intelligence also has applications in the financial industry. It detects and flags banking and finance activity, such as unusual debit card usage and large account deposits, all of which helps in a bank’s fraud department. AI is also being used to help streamline and make trading more manageable by making the supply, demand, and pricing of securities easier to estimate.
What you will learn from this course
When you complete this Artificial Intelligence for Beginners course, you will be able to accomplish the following:
The meaning, purpose, scope, stages, applications, and effects of AI Fundamental concepts of machine learning and deep learning. The difference between supervised, semi-supervised, and unsupervised learning. Machine Learning workflow and how to implement the steps effectively. The role of performance metrics and how to identify their key methods:
Purpose of artificial intelligence technology
Concepts of deep learning and machine learning workflow
Supervised learning
Semi-supervised learning
Unsupervised learning
Simplilearn is a digital skills training leader, focused on the emerging technologies that are transforming our world. Their blended learning approach drives learner engagement backed by the industry’s highest completion rates. Partnering with professionals and companies, They identify their unique needs and provide outcome-centric solutions to help them achieve their professional goals.
Syllabus
Lesson 01 – Decoding Artificial Intelligence
Decoding Artificial Intelligence
Meaning, Scope, and Stages Of Artificial Intelligence
Three Stages of Artificial Intelligence and Applications of Artificial Intelligence
Image Recognition and Applications of Artificial Intelligence with Examples
Effects of Artificial Intelligence on Society and Supervises Learning for Telemedicine
Benefits Multiple Industries
Lesson 02 – Fundamentals of Machine Learning and Deep Learning
Fundamentals Of Machine Learning and Deep Learning
Meaning of Machine Learning & Relationship between Machine Learning and Statistical Analysis
Process of Machine Learning & Types of Machine Learning
Meaning of Unsupervised Learning & Semi-supervised Learning
Algorithms of Machine Learning, Regression, and Naive Bayes Classification
Artificial Neural Network Definition and Definition of Perceptron
Lesson 03 – Machine Learning Workflow
Machine Learning Workflow and Transform Features
Lesson 04 – Performance Metrics
Performance Metrics Need For Performance Metrics and Key Methods
Confusion Matrix Example and Terms Of Confusion Matrix
Minimize False Cases and False Positive Example
Accuracy, Precision, Recall Or Sensitivity, Specificity, and F1 Score
Pre-requisites
There are no prerequisites for opting for this Artificial Intelligence for Beginners course. It does not require programming or IT background, making it ideal for professionals from all walks of corporate life.
Note: Your review matters
If you have already done this course, kindly drop your review in our reviews section. It would help others to get useful information and better insight into the course offered.
There are no reviews yet.