Artificial Intelligence Skills you will learn

  • Purpose of artificial intelligence technology
  • Concepts of deep learning and machine learning workflow
  • Supervised learning
  • Semisupervised learning
  • Unsupervised learning

Who should learn AI

  • Developers
  • Analytics Managers
  • Information Architects
  • Analytics Professionals

What you will learn in AI Basics Program

  • 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

Get a Completion Certificate

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Why you should learn AI

823,734 new jobs 

In AI by 2021 worldwide.


CAGR of 53.25%

AI market growth by 2022


  • What are the prerequisites to learn Artificial Intelligence basics?

    Professionals and students interested in learning Artificial Intelligence basics should have an understanding of the fundamentals of Python programming. Also, they need to have a basic knowledge of statistics.

  • How do beginners learn Artificial Intelligence(AI)?

    Beginners who want to learn Artificial Intelligence can start with the basics of Artificial Intelligence and fundamentals of machine learning and deep learning, or they can take this free Introduction to Artificial Intelligence course to learn AI basics.

  • How long does it take to learn Artificial Intelligence fundamentals?

    This free Introduction to Artificial Intelligence course consists of 2 hours of comprehensive video modules that aim to help you learn the basics of Artificial Intelligence. While the course is of 2 hours, how fast a learner grasps the concepts depends on the learner.

  • What should I learn first in Introduction to Artificial Intelligence?

    It is recommended that you always start with the basics of Artificial Intelligence. Once done, you can move to learning Data Science with Python.

  • Are Artificial Intelligence fundamentals easy to learn?

    The videos that you find as a part of this free Introduction to Artificial Intelligence course are created by mentors who are well-versed in AI, with a vast amount of industry experience. Also, they are aware of the needs of different learners. They make it very easy for you to learn AI.

  • What are the basics in Artificial Intelligence?

    The basics covered in this Introduction to Artificial Intelligence course include AI concepts & workflows, along with the fundamentals of machine learning and deep learning.

  • What is Artificial Intelligence used for?

    Artificial Intelligence (AI) is probably the most important emerging area in the tech world in the past few years. Basically, AI is the ability of a machine to display human-like intelligence to perform various tasks, like planning, reasoning, creativity, and planning. Today, you can see AI being implemented in self-driving cars, adaptive learning machines, mobile applications, chatbots, and various other applications.

  • Can I complete this Artificial Intelligence basic course in 90 days?

    Yes, you can complete this free AI course within 90 days.

  • Will I get a certificate after completing the Artificial Intelligence basics program?

    If you finish any free course on SkillUp within 90 days from the date of enrollment, you are eligible to receive a Course Completion Certificate for the same. Therefore, you will receive a shareable certificate on completing the Artificial Intelligence basics program too. To unlock it, log in to your SkillUp account and click unlock. You will soon receive a mail with a link to the view and download the certificate. You can add the SkillUp certificate to your resume and share it on Facebook, LinkedIn etc.

  • Why learn AI?

    The use of Artificial Intelligence is increasing exponentially and will only continue to do so. The current and future demand is staggering. The New York Times reports that the candidate shortage for certified AI engineers, with fewer than 10,000 qualified people in the world to fill these jobs. According to Paysa, AI engineers with the required skills earn an average salary of $172,000 per year in the U.S. (or Rs.17 lakhs to Rs. 25 lakhs in India).

  • What are the preferred programming languages to learn AI?

    The preferred programming languages for AI projects include Python, Java, R, Prolog, Lisp, and Haskell. However, as beginners, having a basic knowledge of Python should suffice for this introductory AI course.

  • Are there specific tools to know before starting to learn AI?

    It is recommended to have a basic understanding of Python and Statistics before you learn Artificial Intelligence.

  • What are the top skills required for a career in AI?

    The top skills required for a career in AI include:

    • A strong foundation in algorithms and applied math
    • A good grasp of probability and statistics
    • A nuanced understanding of programming languages
    • Well-versed in cognitive learning theory, language processing, and mechanics
    • Critical thinking abilities with a curious mind

  • What do you learn in the Artificial Intelligence basics program?

    You will get an overview of AI concepts and workflows, as well as the fundamentals of machine learning and deep learning. You will also get the opportunity to work on specific use cases and differentiate between supervised, unsupervised, and reinforcement learning.

  • What are the career opportunities in Artificial Intelligence?

    Here are five careers for Artificial Intelligence professionals:

    • Machine Learning Engineer
    • Research Scientist
    • Business Intelligence Developer
    • Data Scientist
    • Big Data Engineer

  • What are my next best learning options after completing this Artificial Intelligence for beginners program?

    After completing this Introduction to Artificial Intelligence free course, you can opt for the Artificial Intelligence Engineer Master’s Program course from Simplilearn.

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