Artificial Intelligence Engineer Course in Boston

The course will allow you to model AI algorithms alongside Data Science, Machine Learning, Deep Learning, and Statistics to develop programs suitable to solve real-life corporate problems and issues. The AI course in Boston is co-developed by Simplilearn and IBM to offer students an in-depth knowledge and practical experience of Statistics, Data Science, Machine Learning, and Python Programming. Leveraging Simplilearn's Artificial Intelligence course in Boston, you learn vital Python libraries - NumPy, Scikit, and SciPy in addition to machine learning (cognitive) techniques, like supervised and unsupervised learning, and other (advanced) topics - artificial neural networks, TensorFlow, and layers of data abstraction.

Once you are through with the Artificial Intelligence course in Boston, you will be technically fluent in the following domains: 

• Well-versed with every aspect of Artificial Intelligence, including meaning, purpose, scope, opportunities, applications, and effects. 
• Designing and applying your AI models to practical projects. You will also be able to create games, machine learning models, logic constraint satisfaction problems, deciding-making functions, probability models, and knowledge-based systems. 
• Get fluent in Python and its basic programming concepts, such as forming a tuple, list, dict, and applying operators and functions. 
• You will also be able to write your own script and perform analysis using Jupyter Notebooks at the end of our Artificial Intelligence course in Boston.  
• Understand the various processes of Data Science, including data wrangling and exploration, data visualization, hypothesis building and testing. 
• Gain an in-depth understanding of TensorFlow concepts, their functions, operations, and pipeline execution. 
• Grasp a firm comprehension of advanced AI concepts such as convolutional and recurrent neural networks, training deep networks, and integrating advanced interfaces. 

 AI course in Boston, is the best training for improving your skills.

With the Artificial Intelligence course in Boston, you will get access to fifteen real-life branded projects across various company verticals. You will apply your skills and theoretical knowledge to gauge what you have gathered from the Master's certification. The projects will help you bolster crucial AI concepts, including supervised and unsupervised learning, reinforcement learning, deep learning, and brush up on your neural, convolutional, and recurrent neural networks basics. 

The AI course in Boston includes a capstone project that allows you to go back and forth to revise the various concepts taught throughout the duration of the course. From going through dedicated-mentored classes to doing an industry project on your own to put your skills and knowledge to the test, there are so many things you will pick along the way. On successful submittal of the project, you will be the proud recipient of a a recognized certificate proving your rise to the top. 

Project 1: Uber Fare Prediction | Domain: Delivery (Commerce)

Uber is one of the most extensive taxi-hailing services operating in the United States. The company wants to improve the accuracy of its fare prediction AI model. Help Uber get their hands on the most riveting AI model by crafting one for them.

Project 2: Reduction of Test bench time for Mercedes-Benz company | Domain: Automobile

Mercedes-Benz is a German-based company that manufactures high-end luxury car models. The company wants to cut back on the time they spend on the test bench for their cars. Faster testing implies that the automobiles will hit the market quicker, thus opening a steady revenue stream. Help Mercedes-Benz forge a model that performs dimensionality reductions to achieve the objective.

Project 3: Amazon Product Rating Prediction Model | Domain: E-commerce

Jeff Bezos went to the moon with whatever he earned with Amazon. However, you will now be required by the business to create an algorithm to help predict precise ratings for the set of non-rated products and update the customer recommendations accordingly.

Project 4: Walmart Demand Forecasting | Domain: Sales

In this project, you will need to predict accurate sales for Walmart's 45 stores spread across the US. This retail giant wants to act on macroeconomic factors such as CPI, unemployment rates, and other factors that can impact sales and promotional markdown events.

Project 5: Comcast Customer Experience Improvement Model | Domain: Telecom

Help Comcast improve their customer experience by identifying problems that can lead to increased consumer dissatisfaction. Candidates are required to assist the company in locating their weaknesses and building an algorithm to improve their end services.

Project 6: IBM Attrition Analysis | Domain: Workforce Analytics

Develop an algorithm that identifies whether an employee will churn for IBM, one of the largest US-based cloud platforms and IT companies. The top management at IBM also wants you to formulate a logistics regression that can help predict the churning probability of an employee.

Project 7: Service Request Analysis For Boston 311 | Domain: Telecommunication

Here, you need to perform a service request data analysis of Boston City 311 calls. You are expected to focus on concepts such as data wrangling to understand patterns in the information and visualize complaint types.

Project 8: Dataset Analysis | Domain: Engineering

The Department of Computer Science and Engineering of the University of Minnesota runs a research group called the GroupLens Research Project. The members comprised in this group have various research projects across industries under their belt, like recommender systems, information filtering, and collaborative filtering. You must perform an analysis using the Exploratory Data Analysis technique for different user datasets.

Project 9: Stock Market Trends Data Analysis | Domain: Stock Market

In this project, students will import data using Yahoo data reader for several leading companies, including Google, Yahoo, Apple, Amazon, and Microsoft. Post this, you will leverage fundamental analytics and for the company, develop stock trade and closing stock price plots, return (daily) analysis and also determine correlation extent for stocks.

The demand for AI is expanding, and so is the requirement for individuals who are well-versed in this field. As a result, Simplilearn's Artificial Intelligence Course In Boston is suitable professionals working across verticals and disciplines, including: 

• Developers planning to pivot their careers to an Artificial Intelligence Course In Boston Engineer or Machine Learning Engineer.
• Product Managers in the field of analytics, managing a team of professionals under them. 
• Information Architects who wish to gather insights about AI algorithms
• Recent graduates who wish to kickstart a career in AI or machine learning
• Experienced individuals looking to upscale their professional horizon and want to leverage top opportunities in AI must definitely consider this AI course in Boston seriously.

Most AI courses in Boston require individuals to be well-versed in the subject before applying for a certificate program in it. However, at Simplilearn, all we require is your unwavering interest. We will break it down for you in the simplest terms, and all you need is an aptitude for understanding statistics. However, individuals with prior knowledge of Python can grasp the concepts more quickly.