About Masters in Artificial Intelligence

  • About the Masters in AI created in collaboration with IBM

    Created in partnership with IBM, this course introduces students to blended learning and prepares them to be AI and Data Science specialists. In Armonk, New York, IBM is a significant cognitive service and integrated cloud solution firm that provides many technology and consulting solutions.

    Every year, IBM invests $6 billion in research & development and has won five Nobel prizes, nine US National Medals of Technology, five US National Medals of Science, six Turing Awards, and ten US Inventors Hall of Fame inductions.

    IBM is a leader in AI and Machine Learning technology verticals for 2021. This AI masters course will prepare students for Artificial Intelligence and Data Analytics careers.

  • What skills are covered in this Masters in Artificial Intelligence?

    You will be able to demonstrate the following abilities after completing this Master in Artificial Intelligence:

    • Gain insights into the latest AI trends like Generative AI, prompt engineering, ChatGPT, and more.

    • Learn how to apply effective prompt engineering techniques to improve the performance and control the behavior of Generative AI models.

    • Master AI and ML comprehensively, understanding their meaning, purpose, scope, stages, applications, and effects.

    • Navigate data science intricacies with expertise, encompassing processes, wrangling, exploration, visualization, hypothesis building, and testing.

    • Conduct scientific and technical computing seamlessly using the SciPy package, including subpackages like Integrate, Optimize, Statistics, IO, and Weave.

    • Excel in mathematical computing using the NumPy and scikit-learn package.

    • Gain expertise in supervised and unsupervised learning, recommendation engines, and time series modeling.

    • Validate machine learning models effectively, decoding various accuracy metrics.

    • Understand and apply deep learning across various applications.

    • Navigate the layers of data abstraction in neural networks, gaining unparalleled insights into data.

    • Utilize tools like Keras to build computer vision applications.

    • Become well-versed with Generative Adversarial Networks (GANs).

    • Execute distributed and parallel computing efficiently, leveraging high-performance GPUs.

    • Comprehend natural language understanding and natural language generation

    • Master natural language understanding and generation, delving into the fundamentals of NLP using Python’s Natural Language Toolkit (NLTK).

    • Know how to apply machine learning and deep learning seamlessly with NLP.

    • Conduct text-to-speech conversion with automated speech recognition.

    • Learn how to apply reinforcement learning theory using Python and TensorFlow.

    • Master ways to solve reinforcement learning problems through various industry-standard strategies.

  • What are the learning objectives of this Masters in Artificial Intelligence?

    Simplilearn and IBM collaborated on a Master's in AI that combines AI, Data Science, Machine Learning, and Deep Learning, allowing for the real-world application of sophisticated tools and models. This AI Masters Program will teach you the principles of statistics for machine learning, python programming, data visualization, and feature engineering. These courses will teach you how to use Python libraries like TensorFlow, Matplotlib, and sci-kit-learn, as well as essential Machine Learning techniques like supervised and unsupervised learning and advanced concepts like artificial neural networks, layers of data

     and feature extraction and TensorFlow.

    Artificial intelligence and machine learning will substantially impact all aspects of daily life in the near future, with applications in healthcare, aviation, finance, logistics, and customer support. A job in AI puts you on the fast road to a dynamic, ever-changing industry that is predicted to grow significantly and beyond once you complete the training.

  • Why become an AI Engineer?

    Artificial intelligence (AI) and AI engineering have been witnessing significant growth, and numerous statistical indicators support the attractiveness of becoming an AI engineer.

    • According to the World Economic Forum, the demand for AI and machine learning specialists is expected to increase by 60% by 2025.

    • In the U.S., the Bureau of Labor Statistics projected a 15% growth in employment for computer and information research scientists (which includes AI engineers) from 2019 to 2029, much faster than the average for all occupations.

    • AI engineers typically command higher-than-average salaries due to their specialized skill set and high demand. In the U.S., according to Glassdoor, the average base pay for AI engineers exceeded $100,000 per year, and senior AI engineers often earned considerably more.

    • Numerous industries have been embracing AI technologies. This adoption spans sectors like healthcare, finance, automotive, retail, and more, signifying many opportunities for AI engineers to apply their skills across various domains.

    • The Global Generative AI market has huge potential with the current market trends. It is expected to grow to $667.9 billion by 2030.

  • What projects are included in this online Masters in Artificial Intelligence?

    ver 25 real-life projects in various areas are included in this AI Masters. These projects are intended to help you grasp essential AI topics in areas like ML, deep learning, NLP, computer vision, reinforcement learning, generative AI, prompt engineering, ChatGPT, and many more.


    This training includes a capstone assignment allowing you to review the principles you've learned. You'll take specialized guided classes to develop a high-quality industrial project addressing real-world problems. 


    Develop a shopping app for an ecommerce company using Python.

    Food Service

    Using data science techniques, such as time series forecasting, to help a data analytics company forecast demand for different restaurant items.


    Use exploratory data analysis and statistical techniques to understand the factors contributing to a retail firm's customer acquisition.


    To understand their overall quality and sustainability, perform a feature analysis of water bottles using EDA and statistical techniques.

    Real Estate

    Use feature engineering to identify the top factors that influence price negotiations in the homebuying process.


    Perform cluster analysis to create a recommended playlist of songs for users based on user behavior.

    Human Resources

    Build a machine learning model that predicts employee attrition rate at a company by identifying patterns in their work habits and desires to stay with the company.


    Use deep learning concepts, such as Convolutional Neural Networks (CNN), to automate a system that detects and prevents faulty situations resulting from human error and identifies the type of ship entering the port.


    Use deep learning to construct a model that predicts potential loan defaulters and ensures secure and trustworthy lending opportunities for a financial institution.


    Use distributed training to construct a CNN model capable of detecting diabetic retinopathy and deploy it using TensorFlow Serving for an accurate diagnosis.

    Leverage deep learning algorithms to develop a facial recognition feature that helps diagnose patients for genetic disorders and their variations.


    Examine accident data involving Tesla’s auto-pilot feature to assess the correlation between road safety and the use of auto-pilot technology.


    Uses AI to categorize images of historical structures and conduct exploratory data analysis (EDA) to build a recommendation engine that improves marketing initiatives for historic loca

  • What can I anticipate from the Masters in Artificial Intelligence produced by Simplilearn in conjunction with IBM?

    You will obtain certificates from IBM and Simplilearn upon completing these courses. These certificates will attest to your abilities as an expert in AI. In addition, you will receive the following:

    • Masterclass by IBM experts

    • Ask-Me-Anything  sessions with IBM leadership

    • Hackathons conducted by IBM

    • IBM Certificates for IBM courses

    • Industry-recognized Program  completion certificate from Simplilearn

  • What are the prerequisites for this Masters in Artificial Intelligence?

    Participants in this Masters in AI should know Python programming concepts and basic statistical knowledge to understand the essential Machine Learning and AI concepts.

  • What are the job opportunities upon completing this Artificial Intelligence Masters?

    You will be able to help you find a dream career after completing the AI Masters Program in collaboration with IBM. AI-certified experts are well-suited for the following positions:

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

Tools Covered

pythonNLKTFlaskScikitLearnMatPlotlibDjango-nNumPypandasSciPykerasOpen CVtensorflowChatGPTDalle.2Mid-journey

Masters in Artificial Intelligence Learning Path

  • Course 1Online Classroom Flexi Pass

    Essentials of Generative AI, Prompt Engineering & ChatGPT

    Delve into AI basics and generative AI principles. Grasp the importance of explainable AI. Employ prompt engineering to enhance generative AI performance. Understand ChatGPT's mechanisms, features, and constraints. Explore varied ChatGPT applications. Gain foresight into generative AI's future and challenges.

    Read More
  • Course 2Online Classroom Flexi Pass

    Programming Essentials

    Discover procedural and object-oriented programming. Uncover Python's benefits. Set up Python and its IDE. Master Jupyter Notebook. Apply Python basics like identifiers, indentation, and comments. Understand data types, operators, and string functions. Explore Python loops and variable scopes. Learn about OOP, its features, and elements like methods, attributes, and access modifiers.

    Read More
  • Course 3

    Python for Data Science by IBM

    Kickstart your learning of Python for Data Science with this Data Scientist course and familiarize yourself with programming, tastefully crafted by IBM.

    Read More
  • Course 4Online Classroom Flexi Pass

    Applied Data Science with Python

    The Data Science with Python course provides a comprehensive overview of Python's tools and techniques for data analytics. Learning Python is a vital skill for numerous data science roles, and you can cultivate it through this course. With a blended learning approach, you can grasp Python for data science alongside concepts such as data wrangling, mathematical computing, and more and propel your career as a data scientist.

    Read More
  • Course 5Online Classroom Flexi Pass

    Machine Learning

    Ensure career success with this Machine Learning course. Learn this exciting branch of Artificial Intelligence with a program featuring 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
  • Course 6

    Deep Learning Specialization

    Differentiate deep learning from machine learning. Explore various neural network types. Excel at forward and backward propagation in deep neural networks. Introduce modeling and performance enhancement in deep learning. Understand hyperparameter tuning and model interpretability. Learn dropout and early stopping implementation. Master CNNs, object detection, and RNN fundamentals. Grasp PyTorch basics and neural network creation.

    Read More
  • Course 7

    AI Engineer Capstone

    The capstone project allows you to implement the skills you learned throughout this bootcamp. You will solve industry-specific challenges by leveraging various AI and ML techniques. The capstone project will help you showcase your expertise to employers.

    Read More
  • Master's Program Certificate

  • Electives

    Deep Learning with Keras and TensorFlow by IBM

  • Electives

    ADL & Computer Vision

  • Electives

    Natural Language Processing (NLP)

  • Electives

    Reinforcement Learning

  • Electives

    Advanced Generative AI

  • 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 Masters Certificate

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

Differentiate yourself with an AI Masters Certificate

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

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AI Masters Certificate

AI Masters program Reviews

  • DeAngelo Kelly

    DeAngelo Kelly

    Artificial Intelligence Engineer

    After completing this course, I was considered for new AI projects at my company, and my salary increased by 39%. Simplilearn's flexible learning method helped me manage my job simultaneously while studying.

  • 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.

  • 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.

  • Deepak Gupta

    Deepak Gupta

    Tech Lead - BI

    Simplilearn's training program helped me understand various aspects of analytics to make better decisions. After the course completion, I got a job in Tech Mahindra as a Tech Lead with a salary hike of 83%.

  • Marco Chan Siu Chung

    Marco Chan Siu Chung

    VP of Technology

    My learning experience was outstanding. The instructors were industry experts. My favorite feature about the course is the blended learning approach, where one can engage in live classes with the convenience of learning at his own pace. The course curriculum is very well designed and delivered.

  • 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.

  • 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.

  • 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


    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.


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

Masters in AI and Machine Learning FAQs

  • Is Masters in Artificial Intelligence worth it?

    Master's in Artificial Intelligence helps you gain a competitive edge over your peers and build job-ready skills. The instruction is offered by top-notch industry experts who have rich domain experience. By enrolling in this master's program, you will clearly understand various AI concepts like machine learning, natural language processing, computer vision, deep learning, neural networks, etc.

  • Does AI Masters require coding?

    No, knowledge of coding is not mandatory for taking up this master's in artificial intelligence. It would, however, be beneficial to grasp the concepts faster.

  • What is a Master in Artificial Intelligence?

    A Master in Artificial Intelligence is a rigorous training program that helps students learn about this powerful technology from scratch and develop work-ready AI skills.

  • What types of jobs can you get with an Artificial Intelligence background?

    Professionals with a thorough knowledge of AI ideas have many opportunities. They can apply for AI Specialist, Machine Learning Engineer, NLP Scientist, AI Research Analyst, and Data Scientist.

  • How do I earn the AI Masters Program Certificate?

    You will be entitled to acquire the Masters in AI certificate, which will attest to your AI engineer abilities, provided you meet the following minimum requirements.

    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 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

  • To master artificial intelligence, what main talents are required?

    Math principles such as statistics, probability, linear algebra, calculus, and Bayesian algorithms should be understood by professionals who want to start AI careers. Statistics, learning theory, problem-solving, classical mechanics, and language processing are all skills they'll need. It is also suggested that you know at least one programming language, data structure, and logic.

  • Can I get a refund if I need to discontinue my enrollment?

    If you feel unsatisfied, you can cancel your ongoing enrollment. After deducting an administration charge, we will reimburse the course money. Please see our Refund Policy for more information.

  • Suppose I am unable to access the AI courses over the internet. Who could assist me?

    Use the form on the right of any page on the Simplilearn website to contact us, or use the Live Chat link or Request a callback.

  • What are the prerequisites for the Masters in AI and machine learning?

    There are no prerequisites for enrolling in the masters in ai and machine learning program. Basic technical skills are enough to get started.

  • Are NLP courses necessary for becoming an Artificial Intelligence Engineer?

    While not mandatory, NLP courses can greatly benefit individuals pursuing a career as an Artificial Intelligence Engineer. Natural Language Processing (NLP) is a key subfield of AI that deals with understanding and processing human language. Taking NLP courses can provide you with specialized knowledge and techniques required to develop advanced AI models that can comprehend and generate human language.

  • What is the role of an artificial intelligence engineer?

    The role of an artificial intelligence engineer is to design, develop, and implement AI systems and algorithms. They work on creating machine learning models, analyzing data, and optimizing algorithms for specific tasks. They collaborate with data scientists and software engineers to build intelligent systems to learn, adapt, and make decisions.

    A Masters in Artificial Intelligence equips students with an advanced understanding of AI concepts, machine learning techniques, and data analysis, giving individuals the necessary knowledge and skills to excel as an artificial intelligence engineer.

  • What job can I enroll in for an online masters in artificial intelligence?

    The demand for AI professionals is rapidly increasing as the field of artificial intelligence continues to grow. An online master's degree in Artificial Intelligence can provide you with advanced knowledge and skills, opening up diverse career opportunities. Job roles like AI engineer, data scientist, machine learning engineer, and research scientist involve designing intelligent systems, analyzing data, and conducting cutting-edge research. Industries such as healthcare, finance, e-commerce, and gaming offer potential employment prospects.

  • Why study online masters in AI and Machine Learning at simplilearn?

    The Masters in Artificial Intelligence offered by Simplilearn,  in conjunction with IBM, is designed by industry experts to help you accelerate the growth of your career. It includes industry-relevant courses, such as Data Science with Python, Machine Learning, Deep Learning, NLP, and Chat GPT. It also features hackathons and AMA sessions hosted by IBM, Capstone projects, practical labs, live sessions, and hands-on projects.

    Here are some reasons why it is the best masters in artificial intelligence and machine learning:

    • Flexibility: The online Master's in AI at Simplilearn offers the flexibility to learn at your own pace and schedule.

    • Industry-Relevant Curriculum: Simplilearn's online Master's in AI program provides a comprehensive curriculum that covers essential topics such as machine learning, deep learning, natural language processing, and data science.

    • Practical Hands-on Experience: The program emphasizes practical learning through real-world projects and case studies. This will help you gain valuable experience applying AI techniques to solve actual industry challenges, preparing you for the demands of the job market.

    • Career Advancement Opportunities: Completing an online Master's in AI from Simplilearn can enhance your career prospects in the rapidly growing field of artificial intelligence, as it provides networking opportunities with industry professionals and access to job assistance services.

  • What are the core skills that you develop with this AI Masters Programs?

    Upon completion of this Master's in Artificial Intelligence, you will acquire the ability to:

    • Gain a comprehensive knowledge of Artificial Intelligence's concepts, purposes, domains, breadth, phases, implementations, and impacts.

    • Develop practical applications, games, predictive models, logic constraint satisfaction systems, experience-based understanding systems, probabilistic models, and agent decision-making skills using artificial intelligence machines and models.

    • Acquire proficiency in fundamental programming features and technical aspects, including data types, tuples, lists, arrays, basic operators, and functions.

    • Master the development of Python programs and utilize the Jupyter Notebook for fundamental data analysis.

    • Gain expertise in data wrangling, data exploration, data visualization, hypothesis formulation, and testing methodologies in Data Science.

    • Utilize the NumPy and SciPy packages for advanced mathematical and technical computing, as well as the Pandas package for data analysis.

    • Familiarize yourself with supervised and unsupervised learning techniques such as linear regression, logistic regression, clustering, dimensionality reduction, K-NN and pipeline, recommendation engines, and time series modeling.

    • Develop an understanding of the core principles, functions, operations, and execution pipeline of TensorFlow.

    • Explore advanced topics in AI, including convolutional neural networks (CNN), artificial neural networks, training deep recurrent neural networks (RNN), and high-level natural language processing (NLP) interfaces.

  • What skills should you master before applying to this best AI masters program?

    Before applying to the best AI master's program, it is crucial to master several key skills. Firstly, a solid foundation in mathematics, including linear algebra, calculus, and probability theory, is essential for understanding AI algorithms and models. Secondly, programming skills, particularly in languages such as Python and R, are necessary for implementing and manipulating AI systems. Additionally, knowledge of machine learning concepts, including supervised and unsupervised learning, is crucial. Understanding data preprocessing, feature engineering, and model evaluation techniques is also important. Finally, familiarity with AI frameworks and libraries like TensorFlow and PyTorch will greatly benefit applicants.

  • Why should you get an online Masters in Artificial Intelligence?

    As AI becomes more integrated into our daily lives, the demand for professionals with advanced knowledge in this field is growing. Pursuing an online master's degree in artificial intelligence can benefit individuals looking to advance their careers in this exciting and dynamic field. In this section, we will explore six compelling reasons why you should consider getting an online master's degree in artificial intelligence. From career advancement opportunities to cutting-edge research opportunities, there are many reasons why pursuing an online master's degree in AI could be the right choice for you.

  • What is the potential income one can expect with an online Master's degree in Artificial intelligence?

    In India, the salary range for AI professionals can vary depending on several factors, including experience, location, industry, and the specific role within AI. According to industry reports and job market data, professionals with a Master's degree in AI can expect to earn salaries ranging from INR 5 to 10 lakhs per annum at the entry-level. With a few years of experience, salaries can increase significantly, ranging from INR 10 to 20 lakhs per annum or even higher.

    It's worth noting that these salary ranges are approximate and can vary depending on factors such as the company's size, industry, location, and individual skills. As the job market and salary trends are constantly evolving, it's essential to stay updated on the latest developments and conduct research accordingly.

  • What can be expected from an online AI masters Program?

    An online AI master's program offers a comprehensive curriculum to give students a deep understanding of artificial intelligence concepts, theories, algorithms, and applications.

    Upon completing the AI masters program offered by Simplilearn, you will gain a comprehensive understanding of Artificial Intelligence, including its concepts, purpose, domain breadth, phases, implementations, and impacts. Moreover, you can apply this knowledge to develop real-world projects, games, prediction models, logic constraint satisfaction concerns, experience and understanding systems, probabilistic models, and agent decision-making skills using artificial intelligent machines and models.

    You will become proficient in basic programming features and technicalities, such as data types, tuples, lists, arrays, basic operators, and functions. The program will also equip you with the necessary skills to develop Python programs and utilize the Jupyter notebook for analyzing fundamental data. Furthermore, you will learn about crucial aspects of Data Science, including data wrangling, data exploration, data visualization, hypothesis creation, and testing procedures.

  • How do online masters in artificial intelligence differ from offline certifications?

    Online master's programs in artificial intelligence and offline certifications differ in several key aspects. Here are some of the primary differences between the two:

    • Mode of learning: The most apparent distinction is the mode of learning. Online master's programs in AI are primarily conducted through digital platforms and virtual classrooms. Offline certifications, on the other hand, typically involve attending physical classes, workshops, or training sessions at a specific location.

    • Flexibility: Online master's programs offer greater flexibility and convenience than offline ones. It best suits working professionals pursuing a degree while managing their responsibilities. Offline certifications often have fixed schedules, making it necessary for students to attend classes at specific times and locations.

    • Access to Resources: Online master's programs generally provide extensive access to digital resources. Students can access various online libraries, research papers, forums, and discussion boards, enabling them to explore various AI concepts in depth. Offline certifications may have limited access to resources, relying primarily on textbooks and materials provided during classes.

    • Networking opportunities: Offline certifications often provide more significant networking opportunities. Students can build connections that can be valuable for building professional relationships and finding job opportunities. While online programs facilitate networking through virtual discussions and online communities, personal interaction is more limited.

    • Program Duration: Offlined master's programs in AI usually span over a more extended period, typically one to three years. This longer duration allows for a more comprehensive curriculum and in-depth exploration of AI concepts. In contrast, online certifications often focus on specific AI topics and can be completed within a shorter timeframe, sometimes from a few weeks to a few months.

  • What is the scope of an online masters in AI?

    An online master's degree in AI provides a comprehensive understanding of artificial intelligence concepts, algorithms, and applications. It equips students with skills in machine learning, deep learning, natural language processing, and data analysis. The scope of this degree is vast, with opportunities in various industries such as healthcare, finance, manufacturing, and technology. Graduates can pursue careers as AI engineers, data scientists, AI researchers, or AI consultants, contributing to advancements in AI technology and its implementation across diverse fields.

  • What does this ai masters program prepare you for?

    Simplilearn's AI Masters program prepares you to become a skilled professional in Artificial Intelligence. The program equips you with the knowledge and practical skills to understand and apply various AI concepts, algorithms, and technologies. It covers machine learning, deep learning, natural language processing, computer vision, and more. By completing the program, you will be well-prepared to build AI-powered solutions and pursue a successful career in the AI industry.

  • How long does it take to complete a masters in ai online?

    The online master's courses in AI offered by Simplilearn are self-paced courses that can be completed in 4-6 months.

  • What are the admission criteria for the online AI Master's program?

    There are no prerequisites for enrollment to begin the AI Master's program, and only basic technical skills are required.

  • How to pay for a masters in ai online?

    Simplilearn strives to ensure that its courses are accessible to all those interested. To achieve this, it has collaborated with multiple platforms, enabling you to conveniently pay for the course in installments with 0% interest. Alternatively, you can make a one-time payment for the course, whichever option suits you better.

  • Is online masters in artificial intelligence hard to learn?

    The difficulty of learning an online master's in artificial intelligence can vary depending on an individual's prior knowledge and experience in the field. Simplilearn offers an online master's program in AI designed to be accessible to beginners and suitable for individuals with a basic understanding of the field. However, it is recommended that students possess a solid background in mathematics, programming, and computer science for an enhanced learning experience.

  • Who is the best online masters in artificial intelligence?

    The Artificial Intelligence Masters Program offered by Simplilearn caters to various vocations and professions, including:

    • Individuals aspiring to work as AI or Machine Learning Engineers.

    • Analytical managers who oversee a team of analysts.

    • Data architects seeking knowledge about artificial intelligence systems and algorithms.

    • Data analysts interested in pursuing careers in machine learning or artificial intelligence.

    • Professionals interested in embarking on a career in artificial intelligence or machine learning.

    • Experts who aim to enhance their domain knowledge by leveraging Artificial Intelligence.

  • How much programming experience is required?

    A certain level of Python programming knowledge and a basic understanding of statistics is necessary for participants in this Masters in AI to grasp the fundamental concepts of Machine Learning and AI.

  • Do I need an undergraduate degree to join this program?

    To register for this course, having a graduate degree is necessary. It is advantageous to have a foundation in engineering, computer science, mathematics, and others. Moreover, possessing basic technical skills is sufficient, to begin with.

  • What is the tuition fee for online masters in artificial intelligence?

    The full tuition fee for online masters in artificial intelligence from Simplilearn is ?54000 inclusive of taxes, with easy EMIs starting from Rs 4500/month.

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