World’s #1 Online Bootcamp

  • 4.6
  • 4.6
  • Exclusive Hackathons and Live interaction with IBM leadership

    Includes live Master Classes and Ask me anything sessions

  • Capstone and 15+ real life projects

    Built on datasets of Twitter, Wikipedia, Zomato

  • 190+ hours of live interactive learning

    Live Online classes by industry experts

  • Annual Average US Salary

    $92k to $140K


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About the Program

IBM is the second-largest Predictive Analytics and Machine Learning solutions provider globally (source: The Forrester Wave report, September 2018). A joint partnership with Brain Academy and IBM introduces students to integrated blended learning, making them experts in Artificial Intelligence and Data Science. The AI courses designed 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 the US Inventors Hall of Fame.

What can I expect from this Brain Academy’s AI certification course developed in collaboration with IBM?

Upon completion of this AI certification course, you will receive the certificates from IBM(for IBM-AI courses) and Brain Academy for the courses in the learning path. These certificates will testify to your skills as an expert in Artificial Intelligence. You will also receive the following:

  1. Access to IBM Cloud Lite Account
  2. Industry-recognized AI Master’s Certificate from Brain Academy

This co-developed Brain Academy and IBM Artificial Intelligence Engineer 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 AI certification course 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 AI 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.

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 AI Engineers with the required skills.

By the end of this AI certification training, you will be able to accomplish the following:

  1. Understand the meaning, purpose, scope, stages, applications, and effects of Artificial Intelligence
  2. 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
  3. Master the essential concepts of Python programming, including data types, tuples, lists, dicts, basic operators, and functions
  4. Learn how to write your own Python scripts and perform basic hands-on data analysis using Jupyter notebook
  5. Gain an in-depth understanding of Data Science processes: data wrangling, data exploration, data visualization, hypothesis building, and testing
  6. Perform high-level mathematical and technical computing using the NumPy and SciPy packages and data analysis with the Pandas package
  7. 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
  8. Understand the concepts of TensorFlow, its main functions, operations, and the execution pipeline
  9. Master advanced topics in Artificial Intelligence, such as convolutional neural networks, recurrent neural networks, training deep networks, and high-level interfaces

This Artificial Intelligence Engineer 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 AI Engineer 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 Naive 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 | Domain: E-commerce 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.

Project 4: Demand Forecasting for Walmart | Domain: Sales 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.

Project 5: Improving customer experience for Comcast | Domain: Telecom 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.

With the demand for AI in a broad range of industries, Simplilearn’s AI certification course is well suited for a variety of roles and disciplines, including:

  1. Developers aspiring to be an Artificial Intelligence Engineer or Machine Learning Engineer
  2. Analytics Managers who are leading a team of analysts
  3. Information Architects who want to gain expertise in Artificial Intelligence algorithms
  4. Analytics professionals who want to work in machine learning or artificial intelligence
  5. Graduates looking to build a career in Artificial Intelligence and machine learning
  6. Experienced professionals who would like to harness Artificial Intelligence in their fields to get more insight

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Tools Covered

Program Advisor

Ronald van Loon

Top 10 Big Data and Data Science Influencer, Director - Adversitement

Named by Onalytica as one of the three most influential people in Big Data, Ronald is also an author of a number of leading Big Data and Data Science websites, including Datafloq, Data Science Central, and The Guardian. He also regularly speaks at renowned events.


Artificial Intelligence is a branch of computer science that involves the development of computer systems that mimic a human brain and enable them to perform tasks that usually require human intelligence. Computers can be trained to accomplish tasks by processing large volumes of data and recognizing patterns in that data using different AI techniques.

Here are some of the top online AI courses:

  1. Introduction to Artificial Intelligence (AI)
  2. Introduction to Data Analytics
  3. Data Science with Python
  4. Data Science with R Programming
  5. Machine learning (ML)
  6. Deep Learning with Keras and TensorFlow
  7. Natural Language Processing (NLP)
  8. Advanced Deep Learning and Computer Vision
  9. Tableau
  10. Power BI
  11. Artificial Intelligence (AI) Engineer Masters Program in collaboration with IBM
  12. Post Graduate Program in AI and Machine Learning in partnership with Purdue University

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:

  1. Coordinating between Data Scientists and Business Analysts
  2. Automating infrastructure used by the data science and engineering teams
  3. 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

Here is the list of the top 10 industry sectors that are majorly using Artificial Intelligence(AI) applications:

  1. Education
  2. Healthcare & Medicine
  3. Retail and E-commerce
  4. Food Technology
  5. Banking and Finance
  6. Logistics and Transportation
  7. Travel
  8. Real Estate
  9. Entertainment and Sports
  10. Manufacturing
The Artificial Intelligence Engineer Master’s Program will give you an insight into AI 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 AI certification course will train you on Python, Machine Learning techniques, including data reprocessing, regression, clustering, and Deep Learning methodologies and its applications using TensorFlow.

As a part of this AI certification online course in collaboration with IBM, you will receive the following:

  1. Lifetime access to e-learning content for all of the AI courses included in the learning path (*only for Brain Academy courses)
  2. Industry-recognized certificates from IBM (for IBM courses) and Brain Academy upon successful completion of the program
  3. Access to IBM cloud platforms featuring IBM Watson and other software for 24/7 practice


Ankit Agarwal

It was a great learning experience with Brain Academy; I had enrolled for the R Programming course with trainer Simon Tavasoli, who has good knowledge on the subject and was very supportive in explaining the course in detail. Plus, the content on the platform covers the topic in detail – overall, an excellent learning experience with Brain Academy.

Ankit Agarwal

It was a great learning experience with Brain Academy; I had enrolled for the R Programming course with trainer Simon Tavasoli, who has good knowledge on the subject and was very supportive in explaining the course in detail. Plus, the content on the platform covers the topic in detail – overall, an excellent learning experience with Brain Academy.