About the Program

  • About IBM and Simplilearn Co-Developed Programs

    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 co-developed 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 and IBM co-developed Program?

    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
    • Access to digital badges from IBM
    • Industry-recognized Master’s Certificate from Simplilearn
       

    IBM Certificate

  • 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.
    Why become an AI Engineer

  • 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 Analysis

    The 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 Analysis

    As 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

Contact Us

1-844-532-7688

( Toll Free )

Tools Covered

NumPypandasSciPyspark.WatsonkerastensorflowpythonRscala

Course Advisor

  • Mike Tamir

    Mike Tamir

    No. 1 AI and Machine Learning Influencer, Head of Data Science - Uber ATG

    ​Named by Onalytica as the No.1 influencer in AI and Machine Learning space, Mike serves as Head of Data Science for Uber ATG self-driving engineering team and as UC Berkeley data science faculty.

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Learning Path

  • Course 1

    Introduction to Artificial Intelligence

    Simplilearn's Introduction to Artificial Intelligence course is designed to help learners decode the mystery of artificial intelligence and its business applications. The course provides an overview of AI concepts and workflows, machine learning and deep learning, and performance metrics. You’ll learn the difference between supervised, unsupervised and reinforcement learning, be exposed to use cases, and see how clustering and classification algorithms help identify AI business applications.

    Read More
  • Course 2Online Classroom Flexi Pass

    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.

    Read More
  • Course 3Online Classroom Flexi Pass

    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 computers 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.

    Read More
  • Course 4

    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 neural 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.

    Read More
  • Course 5Online Classroom Flexi Pass

    Deep Learning with TensorFlow

    Simplilearn’s Deep Learning with TensorFlow course has been crafted by industry experts and aligned with the latest best practices to transform you into deep learning expert. You’ll learn to master deep learning concepts and the TensorFlow open source framework, implement deep learning algorithms, build artificial neural networks, and traverse layers of data abstraction to understand the power of data and prepare you for an exciting career in deep learning.

    Read More
  • Course 6

    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 natural 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 (NLTK).

    Read More
  • Course 7Online Classroom Flexi Pass

    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 mentoring 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.

    Read More
  • Master's Program Certificate

  • Electives

    IBM Watson for Chatbots

  • Electives

    Accelerated Deep Learning with GPU

  • Electives

    Machine Learning with R

Get Ahead with Simplilearn's Master Certificate

Earn your certificate

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

Differentiate yourself with a Masters Certificate

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

Share your achievement

Talk about it on Linkedin, Twitter, Facebook, boost your resume or frame it - tell your friends and colleagues about it.

Simplilearn's Master Certificate

Reviews

  • Leena Jayamohan

    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.

  • 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. 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.

  • Sneha Patil

    Sneha Patil

    I'll give it a five-star rating...I enrolled in Data Science with Python 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.

  • Shailender Kumar

    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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FAQs

  • 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

  • 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.
     

  • 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)
    • An industry-recognized certificate 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
    • Access to digital badges from IBM
       

  • 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

     

  • *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

  • 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. 

  • 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.
     

  • 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
     

  • 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.
     

  • 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.
     

  • 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.
     

  • 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.

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