About Artificial Intelligence Course

  • About the Artificial Intelligence course developed in collaboration with IBM

    The AI course, designed in collaboration with IBM introduces students to an integrated blended learning, making them experts in the area of Artificial Intelligence and Data Science. 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 the US Inventors Hall of Fame. IBM is recognized as a leader in the 2021 Magic Quadrant for AI and Machine Learning. The AI courses online, designed in collaboration with IBM will make students industry-ready for Artificial Intelligence and Data Science job roles.

    What can I expect from this Simplilearn Artificial Intelligence course developed in collaboration with IBM?

    Upon completion of this AI training, you will receive certificates from IBM (for IBM courses) and Simplilearn for the courses in the learning path. These certificates of Artificial Intelligence training will testify to your skills as an expert in AI course to master Artificial Intelligence. You will also receive the following:

    • Masterclass by IBM experts
    • Ask me anything sessions with IBM leadership
    • Hackathons conducted by IBM
    • Industry-recognized Artificial Intelligence Master’s Certificate from Simplilearn

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

    By the end of this AI certification training, 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 are the learning objectives of this AI course?

    The Artificial Intelligence course co-developed by Simplilearn and IBM is a blend of AI, Data Science, Machine Learning, and Deep Learning, enabling the real-world implementation of associated advanced tools and models. This Artificial Intelligence certification course 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 best AI courses, you will learn how to use Python libraries like NumPy, SciPy, Scikit-learn, 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. After completion of Artificial Intelligence training 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 projects are included in this Artificial Intelligence course?

    This Artificial Intelligence certification course co-developed with IBM includes over 15 real-life, branded projects in different domains. These projects in Artificial Intelligence Course 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 AI certification includes a capstone project allowing you to revisit the concepts learned throughout the training. You will go through dedicated mentored classes in order to create a high-quality industry project, solving a real-world problem. The capstone project of this AI course 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 Naive 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 from artificial intelligence course.


    Project 1

    Social Media 

    Using NLP and Machine Learning, build a model to identify inappropriate tweets that should be removed from the Twitter platform to prevent social hate and negativity.

    Project 2

    E-commerce

    The data set provided contains movie reviews given by Amazon customers. Perform data analysis on the Amazon customer movie reviews data set and build a Machine Learning recommendation algorithm that provides ratings for each of the users.

    Project 3

    Automobile Manufacturing

    Mercedes-Benz wants to reduce the time on its test-bench to reduce the time it takes to get a car to the market.  Build and optimize the Machine Learning algorithm to solve this problem.

    Project 4

    Retail

    Predict accurate sales for Walmart stores considering the impact of promotional markdown events. Check the impact of macroeconomic factors like CPI and unemployment rate on sales.


    Project 5

    Telecommunications

    Comcast wants to improve customer experience by identifying and acting on problem areas that lower customer satisfaction and is seeking recommendations that can be implemented.


    Project 6

    E-commerce

    Perform data analysis on Amazon consumer reviews of different products based on the data set provided and predict the sentiment or satisfaction based on feature or review text


    Project 7

    Finance

    The Finance Industry is the biggest employer of Data Scientists. It faces constant attacks by fraudsters who try to trick the system. Correctly identifying fraudulent transactions is often a difficult task, but it is important that credit card companies are able to recognize fraudulent credit card transactions. You are required to try various techniques such as supervised models with oversampling, unsupervised anomaly detection, and heuristics to achieve maximum accuracy in fraud detection.

    Project 8

    Retail

    Demand forecasting is one of the key tasks in operating and optimizing the retail supply chain. To do so effectively, professionals must have a good understanding of Data Science and ensemble techniques. You are required to predict the daily sales for each store for one month. 

  • Who should take this AI course?

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

    • Developers aspiring to be an AI 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?

    Learners need to possess an undergraduate degree or a high school diploma in any discipline, as may be prevalent and accepted in their respective country of residence and/or work.An understanding of the fundamentals of Python programming and basic knowledge of statistics is recommended to complete the Artificial Intelligence Certification.

  • What are my job opportunities on completing this Simplilearn IBM co-developed Artificial Intelligence course?

    Upon completion of the Artificial Intelligence course online 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 certified professionals include:

    • Artificial Intelligence Engineer
       
    • Data Scientist
       
    • Analytics Manager/Lead
       
    • Machine Learning Engineer
       
    • Statistical Programming Specialist

Contact Us

1-844-532-7688

( Toll Free )

Tools Covered

NumPypandasSciPyspark.kerastensorflowpythonRscala

AI Course 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.

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

    Data Science with Python

    This Data Science with Python certification course gives you a complete overview of Python’s data analytics tools and techniques. Learning python is a crucial skill for many data science roles, and you can develop it with this Python data science course. With a blended learning approach, you can learn Python for data science along with concepts like data wrangling, mathematical computing, and more. Unlock your career as a data scientist with Simplilearn’s Data Science with Python training.

    Read More
    Classroom Schedule Weekday class starting 27th May
    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 training, master Machine Learning concepts are required for a Machine learning certification. This Machine Learning online course will provide you with the skills needed to become a successful Machine Learning Engineer today.

    Read More
    Classroom Schedule Weekday class starting 3rd Jun
    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 through this TensorFlow course. Learn to implement deep learning algorithms with our TensorFlow training and prepare for a career as a Deep Learning Engineer. Achieve our deep learning certification and gain a competitive edge over your peers in your next interview.

    Read More
    Classroom Schedule Weekday class starting 6th Jun
    Course Content
    GO TO COURSE PAGE
  • Course 5Online Classroom Flexi Pass

    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
    Classroom Schedule Weekday class starting 8th Jul
    Course Content

  • Master's Program Certificate

  • Electives

    Python for Data Science

  • Electives

    Advanced Deep Learning and Computer Vision

  • Electives

    Natural Language Processing (NLP)

  • Electives

    Industry Master Class – Artificial Intelligence

Get Ahead with Simplilearn's AI Master Certificate

Get Ahead with Simplilearn's AI Master Certificate

Earn your Artificial Intelligence Course 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.

AI Course Certificate

Artificial Intelligence Course Reviews

  • Mark Hayes

    Mark Hayes

    I had a great learning experience, overall. The course content met the quality standards and the instructors were highly knowledgeable. The live classes were engaging,too. After the course completion, I am now working as a consultant.

  • Leena Jayamohan

    Leena Jayamohan

    Founder & Senior Consultant

    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

    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.

  • Venkatesan Sundaram

    Venkatesan Sundaram

    Senior Data Scientist

    I absolutely enjoyed my classes at Simplilearn. I learned a lot of new and interesting concepts. This course covered important AI topics including, image processing, deep learning, etc. The real life examples helped us understand the concepts better.

  • Indrakala Nigam Beniwal

    Indrakala Nigam Beniwal

    Technical Consultant

    I completed a Master's Program in Artificial Intelligence Engineer with flying colors from Simplilearn. Thanks to the course teachers and others associated with designing such a wonderful learning experience.

  • 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 enriched knowledge, as well.

  • Vishwanath Ragha

    Vishwanath Ragha

    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

    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

    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

    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.

  • Shailender Kumar

    Shailender Kumar

    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.

  • Sudipta Samanta

    Sudipta Samanta

    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.

prevNext

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 Course 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 AI courses?

    Here are some of the top AI courses:

    • 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 to master artificial intelligence?

    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 AI Engineer do?

    An AI 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 AI 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 AI 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 AI 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 AI 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 training 
    • 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 for AI course online, you will be eligible to receive the Artificial Intelligence course certificate that will testify to your skills as an AI 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 a certificate 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 courses online. 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 AI 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 online 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 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 AI 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 various benefits of AI?

    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 available in AI courses from our industry experts and enhancing your practical knowledge through real-world projects, you can take a step closer to a career in AI.

  • 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.

  • What are the other courses offered by Simplilearn in the data science and AI domain?

    Simplilearn offers multiple courses on Data Science and AI domain which are listed below:

    Courses:

    Master's Program:

    Post Graduate Program:

Related Programs

Related Articles

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