Course description

  • Why we should choose Artificial Intelligence as your career?

    • Artificial intelligence is a driving force to change humanity by helping people and businesses create exciting, innovative products and services, drive critical decisions and achieve key goals. This is the reason why companies are hiring AI professionals at a jaw-dropping rate!
    • The median salary of an AI engineer in the Bangalore, India is nothing less than 12,000 per annum according to payscale.com.Nearly all big tech companies have an artificial intelligence project, and they are willing to pay experts millions of dollars to help get it done!
    • 13.6 million jobs are going to be created in the AI field in the coming decade (source: Forrester). But there’s a staggering talent shortage — fewer than 10,000 people in the world have the skill set to conduct important AI research, according to technology and consulting firm Element AI - which is all the more reason for you to take this course!

  • What are the objectives of this Artificial Intelligence course for Begginners?

    • Artificial Intelligence (AI) technology is increasingly prevalent in our everyday lives. It has used in a variety of industries from gaming, journalism/media, to finance, as well as in the state-of-the-art research fields from robotics, medical diagnosis, and quantum science. The Simplilearns Artificial Intelligence for Beginners course aims at promoting an interest in its learners in the field of AI so that they are open to taking more advanced subjects in the same field
    • The Introduction to AI course in Bangalore explains the basic terminologies, knowledge representation, problem-solving, learning methods of Artificial Intelligence and also discusses the practical, philosophical, moral and societal impact of AI

  • What skills will you learn in Introduction to Artificial Intelligence course?

    • Understand the basics of AI and Machine Learning and how these cutting-edge technologies are re-defining a slew of industries
    • Comprehend basic definition of key terminology used in AI space
    • Learn about major applications of AI across tons of use cases in various fields like customer service, financial services, healthcare etc
    • Master intricate points required to be taken into consideration by managers for good AI product development and pitfalls to avoid

  • Who should take this Artificial Intelligence for Beginners course?

    Simplilearn’s Introduction to Artificial Intelligence course in Bangalore imparts the basic concepts and principles of Artificial Intelligence to the learners. This Artificial Intelligence Introduction course does not require programming or IT background making it well-suited for the following audience:

    • Well-suited for management and non-technical participants
    • Students who want to learn Artificial Intelligence
    • Newbies who are not familiar with AI or its implications

  • 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 and 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. 

 

    FAQs

    • What is the average salary for a Artificial Intelligence Engineer in Bangalore?

      According to PayScale, Artificial Intelligence Engineers in Bangalore can earn an average salary of Rs 17,71,810 a year. The earning potential can increase for individuals who have undergone a Introduction to Artificial Intelligence(Coming Soon) program.

    • What are other types of roles within the AI & Machine Learning space available in Bangalore?

      Other roles within the AI & Machine Learning space available in Bangalore are

      • Sr. Analyst Data Science and Artificial Intelligence
      • Artificial Intelligence
      • Business Consulting Artificial Intelligence
      • Product Manager AI
      • Data Scientist

    • Which companies are hiring Artificial Intelligence Engineers in Bangalore?

      Companies like Accenture, Intel, Infosys, 24/7, Fidelity are looking for skilled AI & Machine Learning experts in Bangalore.

    • 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 Bangalore Correspondence / Mailing address

    # 53/1 C, Manoj Arcade, 24th Main, 2nd Sector, HSR Layout, Bangalore - 560102, Karnataka, India.

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