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

      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

      31:00
      • 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
        01:46
      • 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

Why you should learn AI

823,734 new jobs 

In AI by 2021 worldwide.

 

CAGR of 53.25%

AI market growth by 2022

FAQs

  • 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?

    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 AI course within 90 days.

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

    You will not receive a course completion certificate after completing the Artificial Intelligence basics free course. However, you can upgrade and enroll for the paid version of the course to earn your certificate.

  • Why learn AI?

    AI use 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 program?

    After completing this Introduction to Artificial Intelligence course, you can opt for the Artificial Intelligence Engineer course provided by Simplilearn.

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