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 Artificial Intelligence masters program 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.