Ranked #1 Masters in Artificial Intelligence Program by Career Karma

Masters in AI and Machine Learning FAQs

• Is Masters in Artificial Intelligence worth it?

  A 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 AI 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.

• 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.

• Why enroll in the AI Engineer Course 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 engineer course?

  Upon completion of this ai engineer course, 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.

• 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.

• Do I need an undergraduate degree to join the AI Engineer Course?

  To register for AI Engineer 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.