Artificial Intelligence Engineer Course in Mississauga

This Artificial Intelligence Engineer Master's Program with IBM and Simplilearn offers job-ready learning in AI, Data Science, Machine Learning, and Deep Learning to get learners to grasp the application of advanced models or tools in the real-world. This Artificial Intelligence course in Mississauga curriculum is designed to give a work-ready grasp of AI topics, which includes key statistical fundamentals used in Data Science, ML, and Python programming.

In this AI course in Mississauga, you will learn:

• Artificial Intelligence (AI) Fundamentals
• Basic techniques of Machine Learning
• Python Libraries
• Google TensorFlow: An Overview
• Knowledge of the Tensor Processing Unit in depth
• Natural language processing, image recognition

You will be able to do the following by the end of the Artificial Intelligence Course In Mississauga :

• Understand Artificial Intelligence's meaning, purpose, scope, stages, applications, and impacts through this AI Course In Mississauga. 
• Implement various classification and regression strategies using machine learning techniques.
• Use the fundamentals of Python text processing.
• Understanding the fundamentals of heuristic search and genetic programming, as well as developing AI games.
• Create intelligent applications based on photos, text, and time-series data by building intelligent systems.
• Utilize SciPy and NumPy packages to execute high-level mathematical plus technical computing efforts and using Pandas library for doing data analysis.
• Understand TensorFlow concepts, functions, operations, and the execution pipeline.

Over 15 real-life branded projects in various domains are included in this Artificial Intelligence course in Mississauga. The projects in the program are designed to help you utilize your skills in supervised and unsupervised learning, convolutional neural networks, support vector machines, deep learning, TensorFlow, reinforcement learning, TensorFlow, neural, and recurrent neural networks, and many others.

This Artificial Intelligence Course In Mississauga includes a capstone project that allows you to review the topics you learned throughout the program. You'll take dedicated, supervised classes to build a high-quality industry project that addresses a real-world problem. From exploratory data analysis to model design and fitting, the capstone project will cover all the bases. 

To complete the capstone project, you will use cutting-edge Artificial Intelligence-based supervised and unsupervised algorithms in the domain of your choice. You will have to apply several models, including Regression, Multinomial Naive Bayes, SVM, Tree-based algorithms, and NLP. On completing this project, you will be the recipient of a capstone credential certificate, and also have the opportunity to showcase cutting-edge project work to employers to validate your expertise.

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

Uber, one of the major taxi companies in the United States, seeks to increase the accuracy of fare predictions for any trip. Assist Uber by creating and selecting the best model.

Project 2: Mercedes-Benz test bench time reduction | Domain: Automobile

Mercedes-Benz, a worldwide German automaker, aims to cut down on the amount of time it spends on the test bench for any given vehicle. Faster testing will shorten the time it takes to get a product to market. To achieve the stated goal, build and optimize the algorithm using dimensionality reduction and various techniques such as XGBoost.

Project 3: Predicting Amazon product ratings | Domain: E-commerce

One of the top US-based e-commerce companies, Amazon, recommends products within the same category to customers based on their activity and reviews on similar products. Amazon hopes to improve its recommendation engine by projecting non-rated product ratings and including them in suggestions based on those projections.

Project 4: Walmart Demand Forecasting | Domain: Sales

Predict correct sales for 45 Walmart shops, one of the largest US-based retailers, taking into account the influence of promotional markdown events. Examine whether macroeconomic factors such as the CPI, unemployment rate, and so on have an impact on sales.

Project 5: Improving Comcast's customer experience | Domain: Telecom

Comcast which is a global powerhouse in the telecom space, with primary presence in the US intends to identify and resolve issue areas and significantly improve its customer happiness numbers. The organization is also searching for critical tips that may be put into action to provide the best possible customer service.

Project 6: IBM Attrition Analysis | Domain: Workforce Analytics 

IBM, one of the largest IT businesses in the United States, wants to know what variables impact employee churn. The company is also looking to develop a logistical regression-based analytical model that will be on the factors mentioned inorder to analytically determine if and when employee churn can occur.

Project 7: Analysis of Mississauga 311 Service Requests |Domain: Telecommunications 

Analyze the data from New York City 311 calls for service requests. You'll concentrate on data wrangling techniques to decipher data trends and show the most common complaint kinds.

Project 8: Analysis of MovieLens Datasets | Domain: Engineering

The GroupLens Research Project is a research group at the University of Minnesota's Computer Science and Engineering Department. This group's researchers are working on many initiatives in the areas of collaborative filtering, information filtering, and recommender systems. For user datasets, we ask you to do an analysis utilizing the Exploratory Data Analysis technique.

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

You will import data from the companies Yahoo, Apple, Amazon, Microsoft, and Google as part of this project using the Yahoo data reader. You will use core analytical skills to plot stock trades (by volume), prices at the close of trade, do return analysis (daily), and find out correlation among the stocks by leveraging pair plots.

This Artificial Intelligence Course In Mississauga is appropriate for a variety of positions and specialties, including:

• Experts in machine learning
• Information Architects, Developers, and Analysts
• Professionals who want to broaden their horizon in this field
• Graduates interested in pursuing a career in artificial intelligence and machine learning are encouraged to apply.

The following are the requirements for enrolling in an Artificial Intelligence Course In Mississauga:

• Working knowledge of the Python programming language's fundamentals. 
• Fundamental statistical expertise is required.