AI for Beginners

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Introduction to AI Course Overview

This Introduction to AI provides an overview of AI concepts and workflows, machine learning, deep learning, and performance metrics. You’ll learn the difference between supervised, unsupervised, and reinforcement learning; be exposed to use cases, and see how clustering and classification algorithms help identify AI business applications.

Introduction to AI Key Features

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No questions asked refund*

At Simplilearn, we value the trust of our patrons immensely. But, if you feel that this Introduction to Artificial Intelligence for Beginners course does not meet your expectations, we offer a 7-day money-back guarantee. Just send us a refund request via email within 7 days of purchase and we will refund 100% of your payment, no questions asked!
  • Lifetime access to self-paced learning
  • Industry-recognized course completion certificate
  • Lifetime access to self-paced learning
  • Industry-recognized course completion certificate
  • Lifetime access to self-paced learning
  • Industry-recognized course completion certificate

Skills Covered

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

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Training Options

Corporate Training

Customised to enterprise needs

  • Blended learning delivery model (self-paced eLearning and/or instructor-led options)
  • Flexible pricing options
  • Enterprise grade Learning Management System (LMS)
  • Enterprise dashboards for individuals and teams
  • 24x7 learner assistance and support

Introduction to AI Course Curriculum

Eligibility

This Introduction to AI for beginners is ideal for developers aspiring to be AI engineers, as well as for analytics managers, information architects, analytics professionals, and graduates looking to build a career in artificial intelligence or machine learning.
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Pre-requisites

Learners need to possess an undergraduate degree or a high school diploma.
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Course Content

  • Introduction to Artificial Intelligence

    Preview

    • Lesson 00 - Course Introduction

      03:09Preview
      • Introduction
        03:09

    • Lesson 01 - Decoding Artificial Intelligence

      21:09Preview
      • 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

      31:00Preview
      • 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

      14:52Preview
      • 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

      19:39Preview
      • 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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AI for beginners Exam & Certification

Introduction to Artificial Intelligence for Beginners Certificate

  • Who provides the certification and how long is it valid for?

    Upon successful completion of the Introduction to AI for beginners course, Simplilearn will provide you with an industry-recognized course completion certificate which has lifelong validity.

  • How do I become an AI Engineer?

    An Artificial Intelligence Engineer works with Machine Learning algorithms, neural networks, and other techniques in various types of business worldwide. They build, test, and deploy Artificial Intelligence models and are responsible for maintaining the Artificial Intelligence infrastructure. You can enroll for Simplilearn’s Artificial Intelligence Engineer Master’s program in collaboration with IBM which will give you an insight into Artificial Intelligence tools and methodologies. This program will train you on Python, Machine Learning techniques, including data reprocessing, regression, clustering, and Deep Learning methodologies and its applications using TensorFlow to prepare you for success in your role as an Artificial Intelligence Engineer.

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

    To obtain the course completion certificate, you must: 

    • Complete the online Introduction to Artificial Intelligence for beginners course
    • Complete the course-end assessment with a minimum score of 80%

  • Do you provide any practice tests as part of this course?

    Yes, we provide a practice test as part of this course to help you prepare for the actual certification exam. You can try this free Artificial Intelligence Exam Questions to understand the type of tests that are part of the course curriculum.

Introduction to AI Reviews

  • Filipe Theodoro

    Filipe Theodoro

    Machine Learning Developer

    I was looking to learn AI, and a friend recommended Simplilearn. Simplilearn’s AI course gave me the knowledge required to start building my models, organize, and select the data to run and test the models. The projects were based on real industry problems too. The trainers were very clear with their explanations and helped us with a lot of tips.

  • Janani Varun

    Janani Varun

    I would give a 5-star rating for the Simplilearn course I took. It helps me understand the content easily through online self-learning videos, and trainers assist us with their in-depth knowledge, as well.

  • Vishwanath Ragha

    Vishwanath Ragha

    I had an awesome learning experience with Simplilearn. All the courses are well structured with self-learning, live classes, and assessments. The trainers are good; They connect with students well and answer questions.

  • Tushar Siddhartha

    Tushar Siddhartha

    The online learning platform is lag-free and provides informative and authentic videos. The quizzes and real-life industry projects on Simplilearn Cloud Lab are great too. The trainers are experienced and will guide you till the end. Investing in this course is really worth it!

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Why Online Bootcamp

  • Develop skills for real career growthCutting-edge curriculum designed in guidance with industry and academia to develop job-ready skills
  • Learn from experts active in their field, not out-of-touch trainersLeading practitioners who bring current best practices and case studies to sessions that fit into your work schedule.
  • Learn by working on real-world problemsCapstone projects involving real world data sets with virtual labs for hands-on learning
  • Structured guidance ensuring learning never stops24x7 Learning support from mentors and a community of like-minded peers to resolve any conceptual doubts

Introduction to AI FAQs

  • What is Artificial Intelligence?

    Artificial Intelligence is a branch of computer science that involves the development of computer systems that mimic a human brain and enable them to perform tasks that usually require human intelligence. Computers can be trained to accomplish tasks by processing large volumes of data and recognizing patterns in that data using different AI techniques.

  • How to learn Artificial Intelligence? Do I need to know any programming language?

    Artificial Intelligence is a broad field and one should have strong fundamentals to learn the concepts of AI. This AI for beginners course is one of the reliable resources to learn AI from scratch. Additionally, it is better to have a working knowledge of at least one programming language like Python, Java, or R.

  • Will this Artificial Intelligence basics course help me to start my career in AI?

    AI is an exciting career domain but involves learning of many complicated concepts. This AI basics course is ideal for professionals who do not have any prior knowledge of the field but are willing to start a career in AI.

  • What other Artificial Intelligence topics should I go through apart from this introductory course?

    When you get a basic understanding of AI through this beginner course, you should move on to other important concepts like data science, machine learning, deep learning, and natural language processing.

  • Why should you learn Artificial Intelligence?

    Artificial Intelligence is one of the disruptive technologies that has the potential to change the way businesses operate. Companies are harnessing the power of AI and self-driving cars, virtual assistants, facial recognition, personalized shopping are only the initial applications of AI. The demand for skilled AI engineers is soaring and so one should learn AI to become a part of this exciting domain.

  • How to get started with Artificial Intelligence?

    Knowledge of core math concepts like statistics, calculus, linear algebra, and probability along with proficiency in any one programming language helps to get started in AI without much difficulty. Our Introduction to AI course is specifically designed for beginners and covers everything from the basics.

  • Who are the instructors and how are they selected?

    All of our highly qualified Artificial Intelligence trainers are AI industry experts with years of relevant industry experience. Each of them has gone through a rigorous selection process that includes profile screening, technical evaluation, and a training demo before they are certified to train for us. We also ensure that only those trainers with a high alumni rating remain on our faculty.

  • How do I enroll in this Introduction to AI for beginners course?

    You can enroll for this AI for beginners course 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 AI for beginners?

    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.

  • Which are the advanced courses you should learn after completing AI for Beginners course?

    Here are some of the best advanced-level courses after completing the AI for Beginners course:

    1. Machine Learning certification course
    2. Deep Learning with Tensorflow certification course
    3. Artificial Intelligence Engineer certification course
    4. Post Graduate Program in AI and Machine Learning

Related Programs

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