Introduction to Artificial Intelligence Course in Chennai, India

43 Ratings

587 Learners

Simplilearns’ Introduction to Artificial Intelligence course is designed to help learners decode the mystery of artificial intelligence and its business applications. The course provides an overview of AI concepts and workflows, machine learning and deep learning, and performance metrics. You’ll learn the difference between supervised, unsupervised and reinforcement learning; be exposed to use cases, and see how clustering and classification algorithms help identify AI business applications.

Key features

MONEY BACK GUARANTEE

3.5 hours of enriched learning
Lifetime access to self-paced learning
Industry-recognized course completion certificate

Corporate Training Solutions

Blended learning delivery model (self-paced eLearning and/or instructor-led options)
Flexible pricing options
Enterprise grade Learning Management System (LMS)
Enterprise dashboards for individuals and teams
24x7 learner assistance and support

Course description

What are the career benefits of this Introduction to AI course?

Artificial intelligence has become a powerful driving force in a wide range of industries, helping people and businesses create exciting, innovative products and services, enable more informed business decisions, and achieve key performance goals. The median salary of an AI engineer in the US is $171,715(Source: Datamation). By 2022, the AI market will grow at a CAGR of 53.25 per cent, and an estimated. 2.3 million jobs will be created in the AI field by 2020 (Source: Gartner).
What are the course objectives?

The Introduction to Artificial Intelligence course will give you a look at the booming field of AI and show you how AI can help drive business value. The course covers basic concepts, terminologies, scope and stages of artificial intelligence and their effect on real-world business processes. By the end of the course, you will be able to clearly define various supervised and unsupervised AI algorithms, apply machine learning workflow to solve business problems and measure ROI based on performance metrics.
What skills will you learn from this Introduction to Artificial Intelligence course?
Upon completion of this course, you will understand:
- 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
Who should take this Introduction to Artificial Intelligence course?
Simplilearn’s Introduction to Artificial Intelligence imparts the basic concepts and principles of Artificial Intelligence to learners. The course caters to CxO level and middle management professionals who want to improve their ability to derive business value and ROI from AI and machine learning. This Artificial Intelligence Introduction course does not require programming or IT background, making it well-suited for the following audience:
- Developers aspiring to be an artificial intelligence engineer or machine learning engineer
- Analytics managers who are leading a team of analysts
- Information architects who want to gain expertise in AI algorithms
- Analytics professionals who want to work in machine learning or artificial intelligence
- Graduates looking to build a career in artificial intelligence or machine learning
What are the prerequisites for this Introduction to Artificial Intelligence course?

There is no prerequisite for this Introduction to Artificial Intelligence course. It does not require programming or IT background, making it ideal for professionals in all walks of corporate life.

Course preview

Introduction to Artificial Intelligence
- Lesson 00 - Course Introduction
  03:09
  - Introduction
    03:09
- Lesson 01 - Decoding Artificial Intelligence
  21:09
  - 01 Decoding Artificial Intelligence
    00:19
  - 02 Meaning, Scope, and Stages Of Artificial Intelligence
    00:46
  - 03 Three Stages of Artificial Intelligence
    02:19
  - 04 Applications of Artificial Intelligence
    01:06
  - 05 Image Recognition
    01:26
  - 06 Applications of Artificial Intelligence - Examples
    01:06
  - 07 Effects of Artificial Intelligence on Society
    03:54
  - 08 Supervises Learning for Telemedicine
    03:10
  - 09 Solves Complex Social Problems
    03:17
  - 10 Benefits Multiple Industries
    02:39
  - 11 Key Takeaways
    01:07
  - Knowledge Check
- Lesson 02 - Fundamentals of Machine Learning and Deep Learning
  31:17
  - 01 Fundamentals Of Machine Learning and Deep Learning
    00:50
  - 02 Meaning of Machine Learning
    02:22
  - 03 Relationship between Machine Learning and Statistical Analysis
    01:31
  - 04 Process of Machine Learning
    01:32
  - 05 Types of Machine Learning
    01:34
  - 06 Meaning of Unsupervised Learning
    01:24
  - 07 Meaning of Semi-supervised Learning
    01:59
  - 08 Algorithms of Machine Learning
    01:00
  - 09 Regression
    03:12
  - 10 Naive Bayes
    01:09
  - 11 Naive Bayes Classification
    02:45
  - 12 Machine Learning Algorithms
    02:22
  - 13 Deep Learning
    02:45
  - 14 Artificial Neural Network Definition
    02:03
  - 15 Definition of Perceptron
    01:18
  - 16 Online and Batch Learning
    02:17
  - 17 Key Takeaways
    01:14
  - Knowledge Check
- Lesson 03 - Machine Learning Workflow
  14:52
  - 01 Learning Objective
    00:28
  - 02 Machine Learning Workflow
    01:06
  - 03 Get more data
    00:41
  - 04 Ask a Sharp Question
    02:07
  - 05 Add Data to the Table
    03:20
  - 06 Check for Quality
    01:15
  - 07 Transform Features
    02:41
  - 08 Answer the Questions
    01:49
  - 09 Use the Answer
    00:31
  - 11 Key takeaways
    00:54
  - Knowledge Check
- Lesson 04 - Performance Metrics
  19:39
  - 01 Performance Metrics
    00:31
  - 02 Need For Performance Metrics
    01:10
  - 03 Key Methods Of Performance Metrics
    00:53
  - 04 Confusion Matrix Example
    01:15
  - 05 Terms Of Confusion Matrix
    01:53
  - 06 Minimize False Cases
    01:37
  - 07 Minimize False Positive Example
    01:07
  - 08 Accuracy
    01:42
  - 09 Precision
    01:13
  - 10 Recall Or Sensitivity
    02:32
  - 11 Specificity
    01:36
  - 12 F1 Score
    03:01
  - 13 Key takeaways
    01:09
  - Knowledge Check
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Course advisor

Mike Tamir No. 1 AI & Machine Learning Influencer, Head of Data Science - Uber ATG

Named by Onalytica as the No.1 influencer in AI & Machine Learning space, Mike serves as Head of Data Science for Uber ATG self-driving engineering team and as UC Berkeley data science faculty.

Vivek Singhal Co-Founder & Chief Data Scientist, CellStrat

Vivek is an entrepreneur and thought Leader in Artificial Intelligence and deep-tech industries. He is a leading data scientist and researcher with expertise in AI, Machine Learning, and Deep Learning.

FAQs

What is the average salary for a Artificial Intelligence Engineer in Chennai?

According to PayScale, Artificial Intelligence Engineers in Chennai can earn an average salary of Rs 10,87,500 a year. The earning potential can increase for individuals who have undergone a Introduction to Artificial Intelligence(Coming Soon) program.
What are other types of roles within the AI & Machine Learning space available in Chennai?
Other roles within the AI & Machine Learning space available in Chennai are
- Artificial Intelligence
- Data Scientist
Which companies are hiring Artificial Intelligence Engineers in Chennai?

Companies like Intel Serve IT Solutions, Fidelity are looking for skilled AI & Machine Learning experts in Chennai.
Who are the trainers?

The Introduction to Artificial Intelligence training sessions is delivered by highly qualified and certified instructors with relevant industry experience.
How do I enroll for online training?

You can enroll for this training on our website and make an online payment using any of the following options:

·     Visa Credit or Debit Card
·     MasterCard
·     American Express
·     Diner’s Club
·     PayPal

Once payment is received you will automatically receive a payment receipt and access information via email.
Can I cancel my enrollment? Will I get a refund?
Yes, you can cancel your enrolment if necessary. We will refund the course price after deducting an administration fee. To learn more, you can view our Refund Policy.
What is covered under the 24/7 Support promise?
We offer 24/7 support through email, chat, and calls. We also have a dedicated team that provides on-demand assistance through our community forum. What’s more, you will have lifetime access to the community forum, even after completion of your course with us.
How can I learn more about this Introduction to Artificial Intelligence course?
Contact us using the form on the right of any page on the Simplilearn website, or select the Live Chat link. Our customer service representatives will be able to give you more details.
What is Global Teaching Assistance?
Our teaching assistants are a dedicated team of subject matter experts here to help you get certified in your first attempt. They engage students proactively to ensure the course path is being followed and help you enrich your learning experience, from class onboarding to project mentoring and job assistance.

Introduction to Artificial Intelligence Course in Chennai, India

Key features

Self-Paced Learning

Corporate Training Solutions

Course description

What are the career benefits of this Introduction to AI course?

What are the course objectives?

What skills will you learn from this Introduction to Artificial Intelligence course?

Who should take this Introduction to Artificial Intelligence course?

What are the prerequisites for this Introduction to Artificial Intelligence course?

Course preview

Introduction to Artificial Intelligence

Lesson 00 - Course Introduction

Introduction

Lesson 01 - Decoding Artificial Intelligence

01 Decoding Artificial Intelligence

02 Meaning, Scope, and Stages Of Artificial Intelligence

03 Three Stages of Artificial Intelligence

04 Applications of Artificial Intelligence

05 Image Recognition

06 Applications of Artificial Intelligence - Examples

07 Effects of Artificial Intelligence on Society

08 Supervises Learning for Telemedicine

09 Solves Complex Social Problems

10 Benefits Multiple Industries

11 Key Takeaways

Knowledge Check

Lesson 02 - Fundamentals of Machine Learning and Deep Learning

01 Fundamentals Of Machine Learning and Deep Learning

02 Meaning of Machine Learning

03 Relationship between Machine Learning and Statistical Analysis

04 Process of Machine Learning

05 Types of Machine Learning

06 Meaning of Unsupervised Learning

07 Meaning of Semi-supervised Learning

08 Algorithms of Machine Learning

09 Regression

10 Naive Bayes

11 Naive Bayes Classification

12 Machine Learning Algorithms

13 Deep Learning

14 Artificial Neural Network Definition

15 Definition of Perceptron

16 Online and Batch Learning

17 Key Takeaways

Knowledge Check

Lesson 03 - Machine Learning Workflow

01 Learning Objective

02 Machine Learning Workflow

03 Get more data

04 Ask a Sharp Question

05 Add Data to the Table

06 Check for Quality

07 Transform Features

08 Answer the Questions

09 Use the Answer

11 Key takeaways

Knowledge Check

Lesson 04 - Performance Metrics

01 Performance Metrics

02 Need For Performance Metrics

03 Key Methods Of Performance Metrics

04 Confusion Matrix Example

05 Terms Of Confusion Matrix

06 Minimize False Cases

07 Minimize False Positive Example

08 Accuracy

09 Precision

10 Recall Or Sensitivity

11 Specificity

12 F1 Score

13 Key takeaways

Knowledge Check

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Exam & certification

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