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Artificial Intelligence Engineer Course in Raleigh
Master's Program
This Artificial Intelligence Master’s Program, in collaboration with IBM, gives training on the skills required for a successful career in AI. Throughout this exclusive training program, you'll master Deep Learning, Machine Learning, and the programming languages required to excel in this domain and kick-start your career in Artificial Intelligence.
In Collaboration With
About the program
About the program developed in collaboration with IBM
IBM is the second largest Predictive Analytics and Machine Learning solutions provider globally (source: The Forrester Wave report, September 2018). A joint partnership with Simplilearn and IBM introduces students to integrated blended learning, making them experts in Artificial Intelligence and Data Science. The program in collaboration with IBM will make students industry-ready for Artificial Intelligence and Data Science job roles. 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 US Inventors Hall of Fame.
What can I expect from this Simplilearn program developed in collaboration with IBM?
Upon completion of this Master's Program, you will receive the certificates from IBM and Simplilearn in the Artificial Intelligence courses on the learning path*. These certificates will testify to your skills as an expert in Artificial Intelligence. You will also receive the following:
- USD 1200 worth of IBM cloud credits that you can leverage for hands-on exposure
- Access to IBM cloud platforms featuring IBM Watson and other software for 24/7 practice
- Industry-recognized Master’s Certificate from Simplilearn
What are the learning objectives of this Artificial Intelligence Program?
This co-developed Simplilearn and IBM Artificial Intelligence Master’s Program is a blend of Artificial Intelligence, Data Science, Machine Learning, and Deep Learning, enabling the real-world implementation of advanced tools and models. The program 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 courses, you will learn how to use Python libraries like NumPY, SciPy, Scikit, 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. 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 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 engineers with the required skills.
What skills will be covered in this Artificial Intelligence Program?
By the end of this Artificial Intelligence Master’s Program, 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 projects are included in this program?
This Artificial Intelligence Master's program co-developed with IBM includes over 15 real-life, branded projects in different domains. These projects 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 Master’s Program includes a capstone project allowing you to revisit the concepts learned throughout the courses. You will go through dedicated mentored classes in order to create a high-quality industry project, solving a real-world problem. The capstone project 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 Naïve 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.
Project 1: Fare Prediction for Uber
Domain: Delivery (Commerce)
Uber, one of the largest US-based taxi providers, wants to improve the accuracy of fare predicted for any of the trips. Help Uber by building and choosing the right model.Project 2: Test bench time reduction for Mercedes-Benz
Domain: Automobile
Mercedes-Benz, a global Germany-based automobile manufacturer, wants to reduce the time it spends on the test bench for any car. Faster testing will reduce the time to hit the market. Build and optimize the algorithm by performing dimensionality reduction and various techniques including xgboost to achieve the said objective.
Project 3: Products rating prediction for Amazon
Amazon, one of the leading US-based e-commerce companies, recommends products within the same category to customers based on their activity and reviews on other similar products. Amazon would like to improve this recommendation engine by predicting ratings for the non-rated products and add them to recommendations accordingly.
Domain: E-commerce
Project 4: Demand Forecasting for Walmart
Predict accurate sales for 45 stores of Walmart, one of the leading US-based leading retail stores, considering the impact of promotional markdown events. Check if macroeconomic factors like CPI, unemployment rate, etc. have an impact on sales.
Domain: Sales
Project 5: Improving customer experience for Comcast
Comcast, one of the leading US-based global telecommunication companies wants to improve customer experience by identifying and acting on problem areas that lower customer satisfaction if any. The company is also looking for key recommendations that can be implemented to deliver the best customer experience.
Domain: Telecom
Project 6: Attrition Analysis for IBM
IBM, one of the leading US-based IT companies, would like to identify the factors that influence attrition of employees. Based on the parameters identified, the company would also like to build a logistics regression model that can help predict if an employee will churn or not.
Domain: Workforce Analytics
Project 7: NYC 311 Service Request Analysis
Perform a service request data analysis of New York City 311 calls. You will focus on data wrangling techniques to understand patterns in the data and visualize the major complaint types.
Domain: Telecommunication
Project 8: MovieLens Dataset AnalysisThe GroupLens Research Project is a research group in the Department of Computer Science and Engineering at the University of Minnesota. The researchers of this group are involved in several research projects in the fields of information filtering, collaborative filtering, and recommender systems. Here, we ask you to perform an analysis using the Exploratory Data Analysis technique for user datasets.
Domain: Engineering
Project 9: Stock Market Data AnalysisAs a part of this project, you will import data using Yahoo data reader from the following companies: Yahoo, Apple, Amazon, Microsoft, and Google. You will perform fundamental analytics, including plotting, closing price, plotting stock trade by volume, performing daily return analysis, and using pair plot to show the correlation between all of the stocks.
Domain: Stock Market
Who should take this Artificial Intelligence Program?
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 Artificial Intelligence 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 Program?
Participants in this program should have:
- An understanding of the fundamentals of Python programming
- Basic knowledge of statistics
What are my job opportunities on completing this Simplilearn IBM Co-Developed Artificial Intelligence Master’s Program?
Upon completion of the Artificial Intelligence Engineer Master’s Program 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 trained professionals include:- Artificial Intelligence Engineer
- Data Scientist
- Analytics Manager/Lead
- Machine Learning Engineer
- Statistical Programming Specialist
Tools Covered
Advanced Analytics Tools
Artificial Intelligence Tools
Programming Tools
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Learning path
Course 1
Introduction To Artificial Intelligence
This Introduction to Artificial Intelligence course is designed to help learners decode the mystery of artificial intelligence (AI) and its business applications. Th
is AI for beginners course provides an overview of AI concepts and workflows, machine learning and deep learning, and performance metrics.
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Online Classroom Flexi Pass
Classroom Schedule
Course Content
Data Science With Python
This Data Science with Python course will establish your mastery of data science and analytics techniques using Python. With this Python for Data Science Course, you
’ll learn the essential concepts of Python programming and gain deep knowledge in data analytics, machine learning, data visualization, web scraping, and natural language processing. Python is a required skill for many data science positions, so jumpstart your career with this interactive, hands-on course.
...Know More
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Industry Projects *
Online Classroom Flexi Pass
Classroom Schedule
Course Content
Machine Learning
Simplilearn’s Machine Learning course will make you an expert in machine learning, a form of artificial intelligence that automates data analysis to enable compute
rs to learn and adapt through experience to do specific tasks without explicit programming. You'll master machine learning concepts and techniques including supervised and unsupervised learning, mathematical and heuristic aspects, and hands-on modeling to develop algorithms and prepare you for the role of a Machine Learning Engineer.
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Industry Projects *
Deep Learning Fundamentals
This course by IBM is designed to help you learn the fundamentals of Deep Learning. It will make you familiar with the concepts of Deep Learning, Convolutional neura
l networks, and the effectiveness of Deep Learning. Be part of a rapidly growing field in Data Science. There’s no
better time than now to get started with neural networks.
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Online Classroom Flexi Pass
Classroom Schedule
Course Content
Deep Learning With TensorFlow
This Deep Learning with Keras and TensorFlow course is developed by industry leaders and aligned with the latest best practices. You’ll master deep learning concep
ts and models using Keras and TensorFlow frameworks and implement deep learning algorithms, preparing you for a career in deep learning.
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Powered By
Online Classroom Flexi Pass
Classroom Schedule
Course Content
Natural Language Processing
Simplilearn’s Natural Language Processing course will give you a detailed look at the science of applying machine learning algorithms to process large amounts of n
atural language data. You will learn the concepts of statistical machine translation and neural models, deep semantic similarity model (DSSM), neural knowledge base embedding, deep reinforcement learning technique, neural models applied in image captioning, and visual question answering using Python’s Natural Language Toolkit.
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Online Classroom Flexi Pass
Classroom Schedule
Course Content
AI Capstone Project
Simplilearn’s Artificial Intelligence (AI) Capstone project will give you an opportunity to implement the skills you learned in the masters of AI. With dedicated m
entoring sessions, you’ll know how to solve a real industry-aligned problem. You'll learn various AI-based supervised and unsupervised techniques like Regression, Multinomial Naïve Bayes, SVM, Tree-based algorithms, NLP, etc. The project is the final step in the learning path and will help you to showcase your expertise to employers.
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Master's Program Certificate
Electives
- IBM Watson for Chatbots
- Accelerated Deep Learning with GPU
- Machine Learning with R
- Industry Master Class – Artificial Intelligence
Get Ahead with Simplilearn's Master Certificate
Reviews
Leena Jayamohan Founder & Senior Consultant
I took the AI Master’s 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.
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Bibhu Dash BDA-Claims Analytics at American Family Insurance
I am part of the Business Analytics and Reporting world for a long time. But in the changing world with all these data evolutions happening around us, new questions on Artificial Intelligence, Machine Learning and Deep Learning were popping up in my mind on a daily basis. With all these mix-ups in mind, I joined Simplilearn with great expectations, as it was recommended to me by a collogue. However, after putting in many hours in the instructor-led training, projects, quizzes and reading materials, now I am feeling much more confident in my work environment. I am very pleased with the courses and hope it will help me in my future career growth. I highly recommend this courses to others because of Simplilearn’s materials, and trainers. Their customer support is one of a kind in the online education arena. The best thing is that Simplilearn is continuously innovating to provide better quality education at affordable prices.
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Nishant Parikh Senior Consultant at Mastercard
Simplilearn is a stupendous platform to learn online courses with live classes along with exceptionally great trainers. The great thing about the platform is, you can register your course with any ongoing classes or trainer, and you can attend it for N number of times. The classes are very interactive with 15-20 participants which enhances the overall experience with various questions and answers. You can ask questions any time to the trainer, they are very flexible and available anytime during class time and can be reached via email outside the regular class hours.
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Sruthi Mohan Senior Software Development Engineer at SpanIdea Systems
I am undergoing an Artificial Intelligence Masters Program. So far my experience with Simplilearn has been good. I have been associated with Simplilearn close to a year. The faculty chosen off-late are from the academic background. They share a true passion for teaching along with technical knowledge, that gets the students more deeply involved. I really like the flex program feature and the recordings, in Simplilearn, it helps me revisit any topics when needed. Overall my experience has been really good.
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Ting L. Expense Report App Developer at Django
I was new to programming so I wanted to learn AI but I was having a hard time learning the topic from many other online sources even with some of the paid programs. But Simplilearn's AI program is not only easy to follow but the materials are organized. Even a beginner like me was able to grasp the concept and practice with real-world projects. I have grown my portfolio quite a bit since I joined Simplilearn. Their affordable fees was also a big bonus for me too.
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Vishwanath Ragha
The awesome learning experience with Simplilearn. I am in the Artificial Intelligence Engineer Master’s Program. So far, I have completed up to the Data Science with Python course. 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.
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Sajitha Smiley Masilla Mony Lecturer
Simplilearn provides a great platform to learn Data Analytics and Machine Learning. 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. I am so thankful to the Simplilearn to get skilled in ML.
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Shailender Kumar
The Deep Learning with Tensorflow course 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.
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Sudipta Samanta
Great learning with Simplilearn. I have taken the Artificial Intelligence Engineer (Master Program). Now, I have completed Data Science and Machine Learning with Python. 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. In the DS course, for instance, they have gone through the right amount of statistics and linear algebra. In the Machine Learning course, they have provided the right amount of practice material. Overall, the courses are good.
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Filipe Theodoro Internship at ProcSiMoS
I was looking for a platform where I could learn about Artificial Intelligence. A friend recommended Simplilearn to me. I'm glad I listened to him because this AI course gave me the basic knowledge required to start building my own models, from organizing and selecting the data to running and testing the models. Also, the trainers were very clear when explaining and gave us lots of tips. The projects you need to submit to complete the course were very challenging, which give us a heads up on how real projects are.
Read more Read lessFAQs
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What does an Artificial Intelligence Engineer do?
An Artificial Intelligence 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
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How do I become an Artificial Intelligence engineer?
This program co-developed with IBM will give you an insight into Artificial Intelligence tools and methodologies to prepare you for success in your role as an Artificial Intelligence Engineer. The industry-recognized certification from IBM and Simplilearn will attest to your new skills and on-the-job expertise. The program will train you on Python, Machine Learning techniques, including data reprocessing, regression, clustering, and Deep Learning methodologies and its applications using TensorFlow.
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What can I expect from the Artificial Intelligence Engineer program?
As a part of this online training co-developed with IBM, you will receive the following:
- Lifetime access to e-learning content for all of the courses included in the learning path (*only for Simplilearn courses)
- Industry-recognized certificates from IBM* and Simplilearn upon successful completion of the program
- $1200 USD worth of IBM cloud credits that you can leverage for hands-on exposure
- Access to IBM cloud platforms featuring IBM Watson and other software for 24/7 practice
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*For which all courses will I get certificates from IBM?
Following are the list of courses for which you will get IBM certificates:
- R Programming for Data Science
- Python for Data Science
- Deep Learning Fundamentals
- Machine Learning with R
- IBM Watson for Chatbots
- Accelerated Deep Learning with GPU
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How do I earn the Master's Certificate?
Upon completion of the following minimum requirements, you will be eligible to receive the Artificial Intelligence Engineer Master’s Program certificate that will testify to your skills as an Artificial Intelligence expert.
Course Course completion certificate Criteria Introduction to AI Required 85% of Online Self-paced completion 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 Fundamentals Required 85% of Online Self-paced completion Deep Learning with TensorFlow Required 85% of Online Self-paced completion or attendance of 1 Live Virtual Classroom and successful evaluation in at least 1 project AI Capstone Project Required Attendance of 1 Live Virtual Classroom and successful completion of the capstone project -
How do I enroll for the AI Engineering program?
You can enroll for this 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.
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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.
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I am not able to access the online program. 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.
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Do you provide a money back guarantee for the training programs?
Yes, we do offer a money-back guarantee for many of our training programs. Refer to our Refund Policy and submit refund requests via our Help and Support portal.
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Who are the instructors and how are they selected?
All of our highly qualified 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.
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What is Global Teaching Assistance?
Our teaching assistants are a dedicated team of subject matter experts here to help you get certified 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.
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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 course with us.
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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 this free Artificial Intelligence Exam Questions to understand the type of tests that are part of the course curriculum.
PMP® Plus- Disclaimer
- PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.
