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 & 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
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. 



  • 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 Dallas Correspondence / Mailing address

    325 N. St. Paul Street, Suite 3100, Dallas, Texas 75201, United States of America

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