About Artificial Intelligence Course

  • About the Artificial Intelligence Engineer Master's program developed in collaboration with IBM

    IBM is the second-largest Predictive Analytics and Machine Learning solutions provider globally (source: The Forrester Wave report, September 2018). A joint partnership with Simplilearn and IBM introduces students to integrated blended learning, making them experts in Artificial Intelligence and Data Science. The Artificial Intelligence courses in NZ designed in collaboration with IBM will make students industry-ready for Artificial Intelligence and Data Science job roles. IBM is a leading cognitive solutions and cloud platform company, headquartered in Armonk, New York, offering a plethora of technology and consulting services. Each year, IBM invests $6 billion in research and development and has achieved five Nobel prizes, nine US National Medals of Technology, five US National Medals of Science, six Turing Awards, and 10 Inductions in US Inventors Hall of Fame.

     

    What can I expect from this Simplilearn program developed in collaboration with IBM?

    Upon completion of this Artificial Intelligence course in New Zealand, you will receive the certificates from IBM and Simplilearn in the Artificial Intelligence courses on the learning path*. These certificates will testify to your skills as an expert in Artificial Intelligence. You will also receive the following:

    • USD 1200 worth of IBM cloud credits that you can leverage for hands-on exposure
    • Access to IBM cloud platforms featuring IBM Watson and other software for 24/7 practice
    • Industry-recognized Master’s Certificate from Simplilearn
       

    IBM Certificate

  • What are the learning objectives of this Artificial Intelligence course in New Zealand?

    This co-developed Simplilearn and IBM Artificial Intelligence Engineer Master’s Program is a blend of Artificial Intelligence, Data Science, Machine Learning, and Deep Learning, enabling the real-world implementation of advanced tools and models. The program is designed to give you in-depth knowledge of Artificial Intelligence concepts including the essentials of statistics required for Data Science, Python programming, and Machine Learning. Through these AI courses in NZ, you will learn how to use Python libraries like NumPy, SciPy, Scikit, and essential Machine Learning techniques, such as supervised and unsupervised learning, advanced concepts covering artificial neural networks and layers of data abstraction and TensorFlow. 

     

    Artificial intelligence and Machine Learning will impact all segments of daily life by 2025, with applications in a wide range of industries such as healthcare, transportation, insurance, transport and logistics, and customer service. A role in this domain places you on the path to an exciting, evolving career that is predicted to grow sharply into 2025 and beyond. 

  • Why become an AI Engineer?

    The current and future demand is staggering. The New York Times reports a candidate shortage for certified AI Engineers, with fewer than 10,000 qualified people in the world to fill these jobs, which according to Paysa earn an average salary of $172,000 per year in the U.S. (or Rs.17 lakhs to Rs. 25 lakhs in India) for AI Engineers with the required skills.

  • What skills will be covered in this Artificial Intelligence course in New Zealand?

    By the end of this Masters in Artificial Intelligence in New Zealand, you will be able to accomplish the following:
     
    • Understand the meaning, purpose, scope, stages, applications, and effects of Artificial Intelligence
       
    • Design and build your own intelligent agents, applying them to create practical Artificial Intelligence projects, including games, machine learning models, logic constraint satisfaction problems, knowledge-based systems, probabilistic models, and agent decision-making functions
       
    • Master the essential concepts of Python programming, including data types, tuples, lists, dicts, basic operators, and functions
       
    • Learn how to write your own Python scripts and perform basic hands-on data analysis using Jupyter notebook
       
    • Gain an in-depth understanding of Data Science processes: data wrangling, data exploration, data visualization, hypothesis building, and testing
       
    • Perform high-level mathematical and technical computing using the NumPy and SciPy packages and data analysis with the Pandas package
       
    • Master the concepts of supervised and unsupervised learning models, including linear regression, logistic regression, clustering, dimensionality reduction, K-NN and pipeline, recommendation engine, and time series modeling
       
    • Understand the concepts of TensorFlow, its main functions, operations, and the execution pipeline
       
    • Master advanced topics in Artificial Intelligence, such as convolutional neural networks, recurrent neural networks, training deep networks, and high-level interfaces

  • What projects are included in this Artificial Intelligence course in New Zealand?

    This Artificial Intelligence course in NZ co-developed with IBM includes over 15 real-life, branded projects in different domains. These projects are designed to help you master the key concepts of Artificial Intelligence like supervised and unsupervised learning, reinforcement learning, support vector machines, Deep Learning, TensorFlow, neural networks, convolutional neural networks, and recurrent neural networks. 

     

    This Masters in Artificial Intelligence in New Zealand includes a capstone project allowing you to revisit the concepts learned throughout the courses. You will go through dedicated mentored classes in order to create a high-quality industry project, solving a real-world problem. The capstone project will cover key aspects from exploratory data analysis to model creation and fitting. To complete this capstone project, you will use cutting edge Artificial Intelligence-based supervised and unsupervised algorithms like Regression, Multinomial Naïve Bayes, SVM, Tree-based algorithms, and NLP in the domain of your choice. After successful submission of the project, not only will you be awarded a capstone certificate but you will have a project that can be showcased to potential employers as a testament to your learning.

     

    Project 1: Fare Prediction for Uber | Domain: Delivery (Commerce)

    Uber, one of the largest US-based taxi providers, wants to improve the accuracy of fare predicted for any of the trips. Help Uber by building and choosing the right model.

     

    Project 2: Test bench time reduction for Mercedes-Benz | Domain: Automobile

    Mercedes-Benz, a global Germany-based automobile manufacturer, wants to reduce the time it spends on the test bench for any car. Faster testing will reduce the time to hit the market. Build and optimize the algorithm by performing dimensionality reduction and various techniques including xgboost to achieve the said objective. 

     

    Project 3: Products rating prediction for Amazon | Domain: E-commerce

    Amazon, one of the leading US-based e-commerce companies, recommends products within the same category to customers based on their activity and reviews on other similar products. Amazon would like to improve this recommendation engine by predicting ratings for the non-rated products and add them to recommendations accordingly.

     

    Project 4: Demand Forecasting for Walmart | Domain: Sales

    Predict accurate sales for 45 stores of Walmart, one of the leading US-based leading retail stores, considering the impact of promotional markdown events. Check if macroeconomic factors like CPI, unemployment rate, etc. have an impact on sales.

     

    Project 5: Improving customer experience for Comcast | Domain: Telecom

    Comcast, one of the leading US-based global telecommunication companies wants to improve customer experience by identifying and acting on problem areas that lower customer satisfaction if any. The company is also looking for key recommendations that can be implemented to deliver the best customer experience.

     

    Project 6: Attrition Analysis for IBM | Domain: Workforce Analytics

    IBM, one of the leading US-based IT companies, would like to identify the factors that influence the attrition of employees. Based on the parameters identified, the company would also like to build a logistics regression model that can help predict if an employee will churn or not.

     

    Project 7: NYC 311 Service Request Analysis | Domain: Telecommunication

    Perform a service request data analysis of New York City 311 calls. You will focus on data wrangling techniques to understand patterns in the data and visualize the major complaint types.

     
    Project 8: MovieLens Dataset Analysis | Domain: Engineering

    The GroupLens Research Project is a research group in the Department of Computer Science and Engineering at the University of Minnesota. The researchers of this group are involved in several research projects in the fields of information filtering, collaborative filtering, and recommender systems. Here, we ask you to perform an analysis using the Exploratory Data Analysis technique for user datasets.

     

    Project 9: Stock Market Data Analysis | Domain: Stock Market

    As a part of this project, you will import data using Yahoo data reader from the following companies: Yahoo, Apple, Amazon, Microsoft, and Google. You will perform fundamental analytics, including plotting, closing price, plotting stock trade by volume, performing daily return analysis, and using pair plot to show the correlation between all of the stocks.

  • Who should take this Artificial Intelligence course in New Zealand?

    With the demand for AI in a broad range of industries, Simplilearn’s AI course in NZ is well suited for a variety of roles and disciplines, including:
     

    • Developers aspiring to be an Artificial Intelligence Engineer or Machine Learning Engineer
       
    • Analytics Managers who are leading a team of analysts
       
    • Information Architects who want to gain expertise in Artificial Intelligence algorithms 
       
    • Analytics professionals who want to work in machine learning or artificial intelligence
       
    • Graduates looking to build a career in Artificial Intelligence and machine learning
       
    • Experienced professionals who would like to harness Artificial Intelligence in their fields to get more insight

  • What are the prerequisites for this Artificial Intelligence course in New Zealand?

    Participants in this program should have:

    • An understanding of the fundamentals of Python programming 
    • Basic knowledge of statistics

  • What are my job opportunities on completing this Simplilearn IBM co-developed AI course in NZ?

    Upon completion of the Artificial Intelligence course in New Zealand co-developed with IBM, you will have the skills required to help you to land a dream job. Jobs that are ideal for Artificial Intelligence trained professionals include:
     
    • Artificial Intelligence Engineer
       
    • Data Scientist
       
    • Analytics Manager/Lead
       
    • Machine Learning Engineer
       
    • Statistical Programming Specialist

Contact Us

+61 2 8310 5552

Tools Covered

NumPypandasSciPyspark.kerastensorflowpythonRscala

AI Certification Learning Path

  • Course 1

    Introduction to Artificial Intelligence Course

    This Introduction to Artificial Intelligence (AI) is designed to help learners decode the mystery of artificial intelligence and its business applications. This AI for beginners course provides an overview of AI concepts and workflows, machine learning, deep learning, and performance metrics.

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    Course Content
    GO TO COURSE PAGE
  • Course 2Online Classroom Flexi Pass

    Data Science with Python

    The Data Science with Python certification course provides a complete overview of Python's Data Analytics tools and techniques. Learning Python is a crucial skill for many Data Science roles. Acquiring knowledge in Python will be the key to unlock your career as a Data Scientist.

    Read More
    Classroom Schedule Weekend class starting 25th Sep
    Course Content
    GO TO COURSE PAGE
  • Course 3Online Classroom Flexi Pass

    Machine Learning

    Ensure career success with this Machine Learning course. Learn this exciting branch of Artificial Intelligence with a program featuring 58 hrs of Applied Learning, interactive labs, 4 hands-on projects, and mentoring. With our Machine Learning Certification training, master Machine Learning Concepts required for a Machine learning certification. This Machine Learning online training will provide you the skills needed to become a successful Machine Learning Engineer today.

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    Classroom Schedule Weekend class starting 9th Oct
    Course Content
    GO TO COURSE PAGE
  • Course 4Online Classroom Flexi Pass

    Deep Learning with Keras and TensorFlow

    This Deep Learning course with TensorFlow certification training is developed by industry leaders and aligned with the latest best practices. You’ll master deep learning concepts and models using Keras and TensorFlow frameworks and implement deep learning algorithms, preparing you for a career as Deep Learning Engineer.

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    Classroom Schedule Weekend class starting 20th Nov
    Course Content
    GO TO COURSE PAGE
  • Course 5Online Classroom Flexi Pass

    Advanced Deep Learning and Computer Vision

    Advanced Deep Learning and Computer Vision

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    Classroom Schedule Weekend class starting 2nd Oct
    Course Content
  • Course 6

    AI Capstone Project

    Simplilearn’s AI Capstone Project will give you an opportunity to implement the skills you learned in the Artificial Intelligence course. With dedicated mentoring sessions, you’ll know how to solve a real industry-aligned problem. The project is the final step in the learning path and will help you to showcase your expertise to employers.

    Read More
    Course Content

  • Master's Program Certificate

  • Electives

    Natural Language Processing (NLP)

  • Electives

    Industry Master Class – Artificial Intelligence

  • Electives

    Python for Data Science

Get Ahead with Simplilearn's AI Master Certificate

Earn your Artificial Intelligence Certificate

Our Artificial Intelligence course is exhaustive and this certificate is proof that you have taken a big leap in mastering the domain.

Differentiate yourself with an AI Certificate

The knowledge and Artificial Intelligence skills you've gained working on projects, simulations, case studies will set you ahead of competition.

Share your achievement

Talk about your AI certification on LinkedIn, Twitter, Facebook, boost your resume or frame it - tell your friends and colleagues about it.

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Artificial Intelligence Course Reviews

  • Leena Jayamohan

    Leena Jayamohan

    Founder & Senior Consultant, Washington

    I took this program, which consisted of multiple classes. Overall the teachers knew the subject and covered what was promised. The industry-related projects were excellent, and it helped put into practice what we learned in the class. I would recommend these classes to anyone planning to enter the Data Analytics field.

  • Bibhu Dash

    Bibhu Dash

    BDA-Claims Analytics at American Family Insurance, Madison

    I joined Simplilearn with great expectations, as it was recommended to me by a colleague. However, after putting in many hours in the live training, projects, quizzes, and reading materials, now I am feeling much more confident in my work environment. I am very pleased with the course and hope it will help me in my future career growth.

  • Janani Varun

    Janani Varun

    Chennai

    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 enriched knowledge, as well.

  • Vishwanath Ragha

    Vishwanath Ragha

    Bangalore

    The awesome learning experience with Simplilearn. So far, I have completed up to the Data Science with Python. All the courses are well structured with self-learning, live classes, and assessment. The trainers are good, connect to students, and answer questions. Happy learning.

  • Sneha Patil

    Sneha Patil

    Mumbai

    I'll give it a five-star rating...I enrolled in this course…the course content, shared drive, documents, pdf files, and — most importantly, the trainer — all are awesome. If you want to explore and gain knowledge, for sure go for Simplilearn.

  • Karan Pal Singh Bagga

    Karan Pal Singh Bagga

    Sr. Data Analyst, Bangalore

    It is my first experience with Simplilearn, and it is fantastic. The course content is excellent as compared to any other institute. Faculties are very experienced and skillful.

  • Sajitha Smiley Masilla Mony

    Sajitha Smiley Masilla Mony

    Lecturer, Kuala Lumpur

    The course curriculum was beneficial in real-world scenarios and was up-to-date. The faculties are skillful and well experienced. The class sessions are very interactive, and the faculties are always ready to clear our doubts to their best. Also, the flexible class helps us to learn the same course with other faculty and gain more knowledge.

  • Sudipta Samanta

    Sudipta Samanta

    Bangalore

    The courses are well-structured with self-learning, live classes, projects & assessment. The trainers are well trained, connect well with the students, and are good at resolving your questions. The course content is excellent.

  • Shailender Kumar

    Shailender Kumar

    Gurgaon

    The Deep Learning with Tensorflow was handled very well by the Simplilearn instructor – Mr. Shivendra Kumar. He took many pains to advance this highly technical course and answered all students’ questions (even multiple times) clearly without compromising the quality of the training. I recommend this course and the faculty.

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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

AI Training 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.

  • When was AI introduced? Who founded Artificial Intelligence?

    It was during the 1950s that saw the generation of mathematicians, philosophers, and scientists who had culturally assimilated the concept of AI in their minds. Alan Turing was a British polymath who came up with the idea of the mathematical possibility of artificial intelligence.

  • What are the top online courses in Artificial Intelligence?

    Here are some of the top online courses in AI:

    • Introduction to Artificial Intelligence

    • Artificial Intelligence Engineer

    • Data Science with Python for AI

    • Machine learning for AI

    • Data Science with R Programming for AI

    • Deep Learning with Keras and TensorFlow for AI

    • Natural Language Processing for AI

    • Advanced Deep Learning and Computer Vision for AI

    • Post Graduate Program in AI and Machine Learning

  • What major skills do you need for AI?

    Professionals willing to start their career in AI should have a clear understanding of math concepts like statistics, probability, linear algebra, calculus, and Bayesian algorithms. They need to be skilled in physics, cognitive learning theory, mechanics, and language processing. Proficiency in any one programming language, data structure, and logic is also recommended.

  • What does an Artificial Intelligence Engineer do?

    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. This role can have many responsibilities in an organization, such as:

    • Coordinating between Data Scientists and Business Analysts
    • Automating infrastructure used by the data science and engineering teams
    • Testing, deploying, and converting Machine Learning models and algorithms into APIs so that other applications can access them, and develop viable products based on Machine Learning

  • How do I become an Artificial Intelligence Engineer?

    The Artificial Intelligence course will give you an insight into AI tools and methodologies to prepare you for success in your role as an Artificial Intelligence Engineer. The industry-recognized certification from IBM and Simplilearn will attest to your new skills and on-the-job expertise. The AI certification course will train you on Python, Machine Learning techniques, including data reprocessing, regression, clustering, and Deep Learning methodologies and its applications using TensorFlow.

  • What kinds of careers can you pursue with a background in Artificial Intelligence??

    The world is wide open for professionals who have a clear understanding of AI concepts. They can apply for job roles like AI Specialist, Machine Learning Engineer, NLP Scientist, AI Research Analyst, Data Scientist, and so on.

  • How to choose the best Artificial Intelligence course?

    With a pool of resources available over the internet, finding a reliable training program is often a daunting task. The best Artificial Intelligence course is one that covers all the important concepts of AI from beginners to advanced levels. The trainer should be highly qualified and should have rich industry experience. Theoretical knowledge should be coupled with practical skills through industry projects, case studies, end-of-chapter quizzes, virtual labs, working on tools, and assignments. Our AI certification course fulfills all your learning needs.

  • What industries use Artificial Intelligence the most?

    Here is the list of the top 10 industry sectors that are majorly using AI applications:

    1. Education
    2. Healthcare & Medicine
    3. Retail and E-commerce
    4. Food Technology
    5. Banking and Finance
    6. Logistics and Transportation
    7. Travel
    8. Real Estate
    9. Entertainment and Sports
    10. Manufacturing

  • What can I expect from the Artificial Intelligence course?

    As a part of this AI certification training in collaboration with IBM, you will receive the following:

    • Lifetime access to e-learning content for all of the Artificial Intelligence courses included in the learning path (*only for Simplilearn courses)
    • Industry-recognized certificates from IBM (for IBM-AI courses) and Simplilearn upon successful completion of the program
    • Access to IBM cloud platforms featuring IBM Watson and other software for 24/7 practice

  • Are all the types of Neural Networks explained as part of the AI training?

    Yes, our AI certification training includes all the basic neural networks you should know about when studying AI and deep learning.

  • How do I earn the AI Master's certificate?

    Upon completion of the following minimum requirements, you will be eligible to receive the certificate that will testify to your skills as an Artificial Intelligence Engineer.

    Course Course completion certificate Criteria

    Introduction to Artificial Intelligence Course    		 Required 85% of Online Self-paced completion and Pass Assessment test at 80%
    Data Science with Python Required 85% of Online Self-paced completion or attendance of 1 Live Virtual Classroom, a score above 75% in course-end assessment, and successful evaluation in at least 1 project
    Machine Learning Required 85% of Online Self-paced completion or attendance of 1 Live Virtual Classroom and successful evaluation in at least 1 project

    Deep Learning with Keras and TensorFlow    		 Required Required    Attend 1 Live Virtual Classroom and successful evaluation in at least 1 project and score 70% for course-end assessment.
    Advanced Deep Learning and Computer Vision Required Attend 1 LVC batch, Pass a Project, Pass an Assessment test 70%
    AI Capstone Project Required Attendance of 1 Live Virtual Classroom and successful completion of the capstone project

  • What book do you suggest reading for Artificial Intelligence?

    While this AI certification training is all you need to gain expertise in the subject, some prefer to reinforce their understanding through books. Here are some of the good books you can refer to:

    • Introduction to Artificial Intelligence by Philip C. Jackson Jr.
    • Artificial Intelligence: A Modern Approach by Stuart Russell, Peter Norvig
    • Life 3.0: Being Human in the Age of Artificial Intelligence by Max Tegmark

  • *For which all AI courses will I get certificates from IBM?

    Following are the list of AI courses for which you will get IBM certificates:

    • Python for Data Science
    • Deep Learning with Keras and Tensorflow

  • How do I enroll for the Artificial Intelligence course?

    You can enroll for this AI certification 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. 

  • If I need to cancel my enrollment, can I get a refund?

    Yes, you can cancel your enrollment if necessary. We will refund the course price after deducting an administration fee. To learn more, please read our Refund Policy.

  • I am not able to access the AI online courses. Who can help me?

    Contact us using the form on the right of any page on the Simplilearn website, select the Live Chat link, or contact Help & Support. 

  • Who will teach Artificial Intelligence course?

    All of our highly qualified Artificial Intelligence trainers are 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.

  • What is Global Teaching Assistance?

    Our teaching assistants are a dedicated team of subject matter experts here to help you get certified in Artificial Intelligence 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. Teaching Assistance is available during business hours.

  • 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 Artificial Intelligence course with us.

  • Do you provide any practice tests as part of the Artificial Intelligence course?

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

  • Can a fresh graduate seek employment after this Artificial Intelligence course?

    Yes, the Artificial Intelligence course is ideal for both beginners as well as experienced professionals. Simplilearn offers the JobAssist program (only for India learners) in partnership with IIMJobs where you get the necessary career guidance and become eligible to apply for AI and ML jobs.

  • Will the content be available after the Artificial Intelligence course is completed?

    Yes, you can access the self-paced study material even after you complete our artificial intelligence course for future reference.

  • How will I get access to practical labs?

    For hands-on execution of industry projects, Simplilearn offers integrated labs that you can access right from your LMS. The guidance regarding the installation and deployment of the tools will be given within the LMS of this AI course.

  • What is a Capstone Project?

    The Capstone Project of this AI certification training helps you revise the concepts learned throughout the course. When you complete the Capstone project successfully, you will receive a certificate that will demonstrate your skills to potential employers.

  • What is the eligibility criteria for the Artificial Intelligence course?

    This Artificial Intelligence course is ideal for both beginners and professionals.

  • What will be the future of AI in the coming years?

    Artificial intelligence is the technology driving the Fourth Industrial Revolution. It is penetrating every industry and we are just now witnessing its initial applications. In the future, advancements in AI will do more wonders and will further change the way humans perform a variety of tasks.

  • What is the pay scale of Artificial Intelligence professionals across the world?

    AI skills are in high demand and skilled professionals command handsome salaries. In the US, AI Engineers earn an average base pay of around $125K per year. (source: Payscale).

  • What are the prerequisites for pursuing an Artificial Intelligence course?

    Participants in this AI certification training should have an understanding of the fundamentals of Python programming and basic knowledge of statistics.

  • What are the various benefits of Artificial Intelligence?

    AI and its subset, machine learning, are proving to be useful in a variety of sectors like retail, banking, aviation, manufacturing, information technology, and more. Self-driving cars, image recognition, speech recognition, fraud detection, spam filtering, and voice assistants are some of the common applications powered by this technology. AI can help reduce human errors, automate various mundane tasks, innovate faster, and work around the clock.

  • What technologies are used to develop AI Skills?

    When you are stepping into the world of artificial intelligence, you will come across some interesting technologies like:

    • Natural language processing
    • Machine learning
    • Robotic Process Automation (RPA)
    • Speech recognition
    • Deep learning

  • What are the types of Artificial Intelligence?

    There are generally three types of AI:

    • Narrow AI - This is the type of AI that we are witnessing in today’s applications. Narrow AI allows machines to perform a specific task and not anything beyond.
    • General AI - This kind focuses on making machines as efficient as humans in performing different kinds of tasks. Currently, there are no applications that come under this category.
    • Strong AI - A hypothetical concept that focuses on making machines smarter than humans and performs actions that even humans are unable to do.

    In another classification, these are the types of AI:

    1. Reactive Machines - These machines do not have a memory to store past experiences and react to scenarios in the best possible way.
    2. Limited Memory - As the name suggests, such machines have limited memory to store and learn from historical data to take future actions.
    3. Theory of Mind - A hypothetical concept where the focus is on making machines understand human emotions, needs, beliefs, etc.
    4. Self Aware - The highest possible stage of AI that exists hypothetically. Apart from understanding emotions, these machines will have their own desires and emotions.

  • What is Artificial Intelligence used for?

    AI aims to make machines possess human-like intelligence and give them the capability to perform actions that are usually done only by humans. AI-powered systems are expected to perceive their surroundings and solve the problems they are designed for.

  • What is the best coding language for Artificial Intelligence?

    Python, Prolog, Java, and C++ are the top programming languages used for Artificial Intelligence.

  • What professionals use Artificial Intelligence?

    Job roles like Data Scientists, AI Engineers, Machine Learning Engineers, NLP Scientists, AI Researchers, and Data Architects require knowledge of Artificial Intelligence.

  • How can I start my career in Artificial Intelligence?

    You need the right blend of technical skills if you are planning to start a career in Artificial Intelligence. If you don’t have any prior experience, our AI certification training will help you become job-ready. By learning all the AI concepts from our industry experts and enhancing your practical knowledge through real-world projects, you can take a step closer to a career in AI.

  • Why become an AI Engineer?

    AI is engaged in many significant developments, from driverless to fraud detection protocols. The need for AI personnel will probably increase for developing businesses and companies as technology progresses. That is why these experts may also have excellent income prospects. The AI expertise could potentially lead to jobs in many fields. You may contribute to these causes by mastering artificial intelligence. Consider getting AI certification to improve your professional marketability as you build your specialty.

  • What are the eligibility criteria for the Artificial Intelligence course?

    Interested candidates can check the generic eligibility criteria to be met by applicants before they join the artificial intelligence course.

    • Math and algorithm knowledge
    • Good understanding of probability and statistics
    • Python programming language expertise

    The familiarity of machine learning (ML) and IoT are advantageous for applicants wishing to pursue an artificial intelligence job (AI).

  • What are the prerequisites for pursuing this Artificial Intelligence course?

    Participants should have the following prerequisites before pursuing AI certification training:

    • One must be good at both programming & software development methodologies and practices.
    • An understanding of the basics of Python programming language
    • Basic statistical knowledge

  • What are the job opportunities after completing this Artificial Intelligence course?

    The scope after pursuing Artificial Intelligence courses is enormous. AI-Expert, machine-learning engineer, robotics engineer, Data Scientist, and data analyst are few crucial roles. By joining reputed AI certification programs, you'll be able to keep ahead while looking for jobs in AI.

  • What industries use AI most?

    Most industries have digitized, and demand for AI professionals in the job market has begun. Once the AI training has been completed, students can find careers in many areas, such as IT, business, marketing, and financial markets.

  • Which companies hire AI Engineers?

    From tech startups like Argo AI to giants such as Microsoft, IBM, Accenture, Intel, Samsung, Adobe, Lenovo, Amazon, NVIDIA, Facebook, and many more businesses hire AI graduates. To pursue an artificial intelligence career, look at the benefits of our AI training program.

  • Will this Artificial Intelligence course help me to become an AI Engineer?

    AI careers are proof of the future, which means that they will survive well into the future. Professional AI certification is one of the most important ways to provide an employer the trust and legitimacy of the person they want to employ. Simplilearn's AI certifications offer value to your curriculum vitae, help you understand AI concepts thoroughly, and increase your pay to match your AI Engineer's income.

  • What major skills do you need to become an AI Engineer?

    This role demands combined software development, programming, data science, and data engineering expertise. It usually requires a bachelor's degree in computer science, data science, engineering, physics, math, statistics, or another quantitative field. AI certification can also help you meet academic requirements and develop technological expertise.

  • What kind of careers can you pursue with a background of AI?

    Some of your applications with an IT degree and AI certification are video game programmer, robotics programmer, machine learning scientist, data mining analyst, data scientist, data science manager, research scientist, software engineer. Those with this unusual blend of talents and experience to the actual world may play any role in AI and shape the landscape of this ever-changing field in years to come.

  • What does an AI Engineer do?

    AI Engineers are persons active in problem-solving or artificial intelligence technology. They create, test, and implement AI models together with AI infrastructure management. They cruise by traditional software models and machine learning models. Our Artificial Intelligence course offers a unique opportunity to learn from industry leaders and work with some of the world's most well-known enterprises. You build appropriate AI and computer-based abilities and those before your graduation that correspond with your selected specialization.

  • Can a fresh graduate seek employment after completing this Artificial Intelligence course?

    Pursuing Artificial intelligence brings up a world of possibilities. The AI Certification course can now train new software engineers researching neural networks, human-machine interfaces, and quantum AI. It is an excellent opportunity for newcomers who wish to jump and go out of the field of AI.

  • What book do you suggest reading for AI?

    The hottest and most challenging field is artificial intelligence, and most AI developers desire to do their job. The right and effective way to learn is to go by the best available reliable resources. Hence here are the top AI Books to refer to.  

    • Artificial Intelligence: A Modern Approach (by Stuart Russell and Peter Norvig).  
    • Introduction to Artificial Intelligence (Philip C Jackson).  
    • The Sentient Machine: The Coming Age of Artificial Intelligence (Amir Husain). 
    • Artificial Intelligence: What Everyone Needs to Know R (Jerry Kaplan)

    Consider also joining our AI training program as the first step into a successful career in the exciting field of artificial intelligence.

  • What is the pay scale of AI Engineers across the world?

    In different cities, you will find varied pay ranges, primarily due to the distinct gaps in the talents in each location, the cost of living, and expectations for skills. Good abilities and expertise candidates can easily persuade top-level firms to pay much. In the view of prospective employers, AI certification might make you more reputable. An AI expert may expect to earn the following average annual salary:

    • India - ?10,52,865-?11,42,119
    • USA - $119,997
    • Canada - $91k
    • Australia - $95,500
    • Germany - €56,978
    • UK - £52,430

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