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

    • 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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Exam & certification

  • What do I need to do to unlock my Simplilearn certificate?

    To obtain the Introduction to Artificial Intelligence course certification, you must:  

    • Complete the online self-learning course
    • Complete the course-end assessment with a minimum score of 80%
       

Course advisor

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

​Named by Onalytica as the No.1 influencer in AI and 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
Vivek Singhal Co-Founder and Chief Data Scientist, CellStrat

Vivek is an entrepreneur and a 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

    • 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.

    Our Singapore Correspondence / Mailing address

    #14-302, The Plaza, 7500A Beach Road, Singapore 199591

    • Disclaimer
    • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.