The Masters in Artificial Intelligence, created in partnership with IBM, introduces students to blended learning and prepares them to be specialists in AI and Data Science. 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 will prepare students for Artificial Intelligence, and Data Analytics careers.
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:
You will be able to demonstrate the following ability after completing this Masters in Artificial Intelligence:
Simplilearn and IBM collaborated on a Masters 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 Scikit-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.
The present and future demands are enormous. According to Paysa, licensed AI Engineers make an average income of $172,000 per year in the United States (approximately Rs.17 lakhs to Rs.25 lakhs in India), with less than 10,000 competent persons in the globe to fill these roles.
Over 15 real-life projects in various areas are included in this Masters in AI co-developed with IBM. These projects are intended to help you grasp essential AI topics like supervised and unsupervised learning, reinforcement learning, support vector machines, deep learning, TensorFlow, neural networks, convolutional neural networks, and recurrent neural networks.
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 that addresses a real-world problem. This AI Masters Program capstone project will cover everything from exploratory data analysis to model construction and fitting. You will employ cutting-edge AI-based supervised and unsupervised algorithms such as Regression, Multinomial Naive Bayes, SVM, Tree-based algorithms, and NLP in the topic of your choice to complete this capstone project. You will receive a capstone credential for completing the project. Still, you will also have a project to present to future employers as evidence of your learning from this course.
To reduce social hatred and negativity, create a model that employs natural language processing and machine learning to recognize inappropriate tweets that should be removed from the Twitter site.
Amazon prime videos' movie reviews are included in the data collection. Analyze the Amazon customer movie reviews data set and create a Machine Learning recommendation system that assigns scores to each user.
Mercedes wants to reduce the time spent on its test bench to reduce its time to bring a product (car) to market. Create and optimize a Machine Learning algorithm to solve this challenge.
Create a predictive model to predict sales for Walmart stores while considering special discount events. Examine how sales are affected by macroeconomic variables such as the CPI and the unemployment rate as features.
Comcast intends to increase customer happiness by identifying and addressing issue areas and is looking for solutions that might be implemented.
ML engineers must analyze Amazon user evaluations of various items based on the data set supplied and forecast sentiment or satisfaction based on feature or review content.
The banking industry is the most prevalent employer of data scientists. Scammers that try to fool the system are continuously targeting it. Credit card businesses must be able to discover illicit credit card frauds, notwithstanding the difficulty of precisely recognizing fraudulent and illegal activities. Several methodologies, such as classification with overfitting, unsupervised detection approaches, and heuristics, must be used to achieve maximum accuracy in detecting fraud.
The most significant aspect of managing the retail supply chain is demand forecasting. Professionals must grasp Data Science and ensemble methodologies to do so efficiently. For the following month, you must forecast daily sales for each store.
Simplilearn's Artificial Intelligence Masters Program is well-suited for several vocations and professions, such as:
Participants in this Masters in AI should know Python programming concepts and basic statistical knowledge to understand the essential Machine Learning and AI concepts.
You will be able to help you find a dream career after completing the AI Masters Program co-developed with IBM. AI-certified experts are well-suited for the following positions:
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.
This Data Science with Python 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.
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.
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.
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.
Our Masters in Artificial Intelligence is exhaustive and this certificate is proof that you have taken a big leap in mastering the domain.
The knowledge and AI skills you've gained working on projects, simulations, and case studies will set you ahead of the competition.
Talk about your AI masters certificate on LinkedIn, Twitter, and Facebook, boost your resume, or frame it - tell your friends and colleagues about it.
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.
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.
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.
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.
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.
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.
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.
The following are the top ten industries that are heavily utilizing AI applications:
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|
The courses for which you will receive IBM credentials are as follows:
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.
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.
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.
Definitely. Our 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.
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.
There are no prerequisites for enrolling in the AI Master's program. Basic technical skills are enough to get started.
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.
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.
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.
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:
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.
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.
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.
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.
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.
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.
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.
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.
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.
The online master's courses in AI offered by Simplilearn are self-paced courses that can be completed in 4-6 months.
There are no prerequisites for enrollment to begin the AI Master's program, and only basic technical skills are required.
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.
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.
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.
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.
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.
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.