Decoding Artificial Intelligence
Applications of Artificial Intelligence – Examples
Meaning, Scope, and Stages Of Artificial Intelligence
Three Stages of Artificial Intelligence
Applications of Artificial Intelligence
Supervises Learning for Telemedicine
Solves Complex Social Problems
Benefits Multiple Industries
Effects of Artificial Intelligence on Society
Exclusive of GST
Medium of instructions English
Mode of learning Self study
Mode of Delivery Video and Text Based
The Introduction to AI for Beginners is a course featuring 3.5 hours of enriched self-paced video learning. The course provides a basic overview of AI concepts, workflows, machine learning and deep learning frameworks, and new performance metrics. You will learn the nuances of supervised, semi-supervised, unsupervised, and reinforcement learning; their applications, and clustering and classification algorithms help categorize AI business applications.
The Introduction to AI for Beginners also helps participants understand how business processes can be optimised and automated to free the workforce from tedious manual tasks. The candidates will be taught about the purpose of AI, concepts of deep learning and machine learning framework.
Introduction to Artificial Intelligence for Beginners course by Simplilearn will help you with gaining expertise in AI algorithms. AI skills have become a necessity and are extensively used to manage data-driven computational tasks, which need huge effort and time for the workforces.
3.5 hours of self-paced video learning
Simulation test papers for self-assessment
Lab access for live practicing
Global teaching assistance
100% money-back guarantee
- Self-paced learning
- Corporate training
- Industry case studies
- Simulation exams
Course and certificate fees
Introduction to Artificial Intelligence for Beginners Course Fee Details
Rs. 6,999.00 + Rs. 1,259.82 (CGST + SGST) = Rs. 8,258.82
certificate providing authority
Who it is for
The Introduction to Artificial Intelligence for Beginners course online is highly suitable for professionals interested in Business Intelligence (BI) across industries like IT. Some common profiles include –
A candidate applying for the Introduction to AI for Beginners course must be a graduate
What you will learn
After completion of Introduction to Artificial Intelligence for Beginners course, you will be proficient in skills such as –
Learn the uses, applications, and effects of AI along with image recognition, supervision for telemedicine, and improved decision making
Use concepts of machine learning and deep learning to understand nuances of supervised, semi-supervised, and unsupervised learning
Understand algorithms used in supervised learning like ML, Naive Bayes, support vector machines (SVMs), decision trees, linear, and logistic regression
Improve results by cleaning, balanced, and changing the data every once in a while following the algorithms
Learn to use a small amount of known data and a large number of unknown data during training which feed into algorithms.
Use clustering, structured prediction, artificial neural network, and many more
Structure the underlying arrangement or modelling in the large pools of data to learn more about it
Use Hierarchical clustering, K-means clustering, and other deep learning algorithms to do the same
Filling the form
To apply for Introduction to Artificial Intelligence for Beginners course by Simplilearn, follow the steps mentioned below:
Visit the official website of the provider.
Click on enroll now option and it will redirect to a new page.
Apply a coupon if you have one simply click the ‘Proceed’ button
Provide the required details like name, email, and contact number and proceed.
Pay the relevant fee and save the receipt for future reference.
Decoding Artificial Intelligence
Fundamentals of Machine Learning and Deep Learning
Types of Machine Learning
Meaning of Unsupervised Learning
Fundamentals Of Machine Learning and Deep Learning
Meaning of Machine Learning
Relationship between Machine Learning and Statistical Analysis
Process of Machine Learning
Naive Bayes Classification
Artificial Neural Network Definition
Definition of Perceptron
Online and Batch
Machine Learning Algorithms
Algorithms of Machine Learning
Meaning of Semi-supervised Learning
Machine Learning Workflow
Ask a Sharp Question
Machine Learning Workflow
Get more data
Check for Quality
Answer the Questions
Use the Answer
Add Data to the Table
Minimise False Positive Example
Terms of Confusion Matrix
Minimise False Cases
Need For Performance Metrics
Key Methods of Performance Metrics
Confusion Matrix Example
Recall Or Sensitivity
The Introduction to Artificial Intelligence for Beginners certification exam will have multiple-choice questions. A practice test is also provided as part of the Introduction to AI for Beginners course to help one prepare for the certification exam. The practice test will have five questions and duration of 5 minutes.
How it helps
Introduction to AI for Beginners course aims to indulge executive-level officers, middle management professionals, information architects, analytics managers, and developers.
This Artificial Intelligence Introduction course online does not require programming experience, Business Intelligence (BI), IT background, thereby adept for developers aspiring to change their roles as an artificial intelligence engineer and machine learning engineer.
There are no prerequisites for the Introduction to Artificial Intelligence for Beginners certification course.
Once after completing Introduction to Artificial Intelligence for Beginners certification course, you will receive the Introduction to Artificial Intelligence for Beginners certification which will be valid lifelong.
The Introduction to Artificial Intelligence for Beginners offers you the opportunity to understand AI, ML, DL, and performance metrics.
The certification exam will contain multiple-choice questions.
The certificate is valid lifelong.
Yes, you will get the Introduction to Artificial Intelligence for Beginners course completion certificate after the completion of the online self-learning training.