Artificial Intelligence Skills you will learn

  • AI Basics
  • Machine LearningNeural Networks and NLP
  • Data Handling amp Preprocessing
  • AI Tools amp Frameworks
  • ProblemSolving with AI

Who should learn this free AI course?

  • AI Analysts
  • Data Scientists
  • Machine Learning Engineers
  • Data Engineers
  • AI Product Managers

What you will learn in this free AI course?

  • 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

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

Learn the Basics of AI

Why you should learn Artificial Intelligence?

$503.40 Billion

Expected size of global Machine Learning market by 2030.

$162K+ (USA) | INR 11 LPA

Average Salary of a ML Engineer annually.

About the Course

This introductory course on Artificial Intelligence offers a deep dive into the basics of AI. It covers fundamental concepts of Artificial Intelligence, machine learning, machine learning algorithms, neural networks and natural language processing (NLP). This course is a blend of  both theory and hands-on experience, helping learners to understand how AI is transforming industries and providing them with the skills to apply AI concepts in real-world scenarios.

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FAQs

  • What is the “Introduction to Artificial Intelligence” course about?

    This course covers the core concepts of the basics of AI, including machine learning, machine learning algorithms, neural networks, and natural language processing, and explores how these technologies are applied in real-world scenarios.

  • Who is this artificial intelligence course intended for?

    It is designed for beginners and professionals interested in learning AI basics and how AI technologies are shaping various industries.

  • What are the prerequisites for this course?

    There are no formal prerequisites, but a basic understanding of mathematics, statistics, and programming will be beneficial.

  • What will I learn in this artificial intelligence course?

    You will gain an understanding of key AI concepts, machine learning, neural networks, and how AI can be applied to solve real-world problems.

  • Is there hands-on learning in the course?

    Yes, the course includes hands-on projects and exercises, allowing you to apply AI concepts and tools to real-life tasks.

  • What industries benefit from AI knowledge?

    AI is applied across multiple sectors, including healthcare, finance, manufacturing, marketing, and tech, making the knowledge applicable to  career paths in various domains.

  • Will I receive a certificate after completing this AI basics course?

    Yes, upon successful completion, you will receive a course completion certificate that validates your understanding of AI basics and skills.

  • How long does it take to complete this AI basics course?

    This course on Introduction to Artificial Intelligence is 2 hours long.

  • Can I pursue higher studies after completing the basics of AI course?

    Yes, this course provides a foundation for more advanced studies in AI, machine learning, deep learning, and related fields.

  • How can this free AI course help in my career?

    This free AI basics course helps you build essential AI skills that are in high demand, opening up opportunities for roles such as AI analyst, data scientist, or AI developer, and boosting your value in the job market.

Learner Review

  • Sharma Lakshya

    Sharma Lakshya

    Thank you Simplilearn for covering the basic introduction to AI, Machine Learning and Deep Learning & to the various AI aspects, in the Introduction to Artificial Intellegence course, this will help me a lot in future.

  • Harsimran Passi

    Harsimran Passi

    CSE Cloud Computing- B.Tech. 2nd Year , SRM Institute of Science and Technology, KTR.

    This free AI course not only made me confident in the concepts but also built my interest through its informative and interesting content. The introductory course helped me decide how I want to continue my journey in this field.

  • Jenifer Robinson

    Jenifer Robinson

    Perfect presentation with clear explanation through short modules. There were assessments at the end of the modules too. I am completely satisfied with this AI course

  • Yash Aggarwal

    Yash Aggarwal

    For an introductory course, it was detailed enough to make us understand the basics of machine learning without making it complicated.

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