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Introduction to Artificial Intelligence for Beginners
Improve your ability to derive business value and Return on Investments (ROI) from AI, machine learning, and deep learning.
Beginner
Online
₹ 7,500
Quick facts
particular | details | |
---|---|---|
Medium of instructions
English
|
Mode of learning
Self study
|
Mode of Delivery
Video and Text Based
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Course overview
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.
The highlights
- Simulation test papers for self-assessment
- Lab access for live practicing
- Global teaching assistance
- 100% money-back guarantee
Program offerings
- Self-paced learning
- Corporate training
- Industry case studies
- Simulation exams
- Assessments
Course and certificate fees
Fees information
Introduction to Artificial Intelligence for Beginners Course Fee Details
Training Options | Fee |
Self-Paced Learning | Rs. 7,500 + Rs. 1,350 (CGST + SGST) = Rs. 8,850 |
Corporate Training | Not available |
certificate availability
certificate providing authority
Eligibility criteria
Education
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
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 –
- Data Analysts
- Business Analysts
- Project Managers
- Executive-level officers,
- Management professionals
- Information architects
- Analytics managers
- Developers
- Testers
Admission details
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.
The syllabus
Lesson 00: Course Introduction
Lesson 01: Decoding Artificial Intelligence
- Decoding Artificial Intelligence
- Applications of Artificial Intelligence – Examples
- Meaning, Scope, and Stages Of Artificial Intelligence
- Image Recognition
- Three Stages of Artificial Intelligence
- Applications of Artificial Intelligence
- Supervises Learning for Telemedicine
- Solves Complex Social Problems
- Benefits Multiple Industries
- Key Takeaways
- Effects of Artificial Intelligence on Society
Lesson 02: 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
- Naive Bayes Classification
- Deep Learning
- Artificial Neural Network Definition
- Definition of Perceptron
- Online and Batch
- Machine Learning Algorithms
- Learning
- Key Takeaways
- Algorithms of Machine Learning
- Regression
- Meaning of Semi-supervised Learning
Lesson 03: Machine Learning Workflow
- Ask a Sharp Question
- Learning Objective
- Machine Learning Workflow
- Get more data
- Check for Quality
- Transform Features
- Answer the Questions
- Use the Answer
- Key Takeaways
- Add Data to the Table
Lesson 04: Performance Metrics
- Minimise False Positive Example
- Accuracy
- Precision
- Terms of Confusion Matrix
- Minimise False Cases
- Performance Metrics
- Need For Performance Metrics
- Key Methods of Performance Metrics
- Confusion Matrix Example
- Recall Or Sensitivity
- Specificity
- F1 Score
- Key Takeaways
Evaluation process
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.
FAQs
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.
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