Artificial Intelligence Engineer Course in Calgary

This Simplilearn offered Artificial Intelligence Engineer Master's Program in partnership with IBM offers comprehensive coverage of Data Science, Artificial Intelligence, Deep Learning, and Machine learning to help learners understand the advanced tools and models better. Our Artificial Intelligence course in Calgary offers a curriculum that provides complete learning of the vital AI fundamentals including statistical aspects of ML, Data Science and Python.

In this AI course in Calgary, 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 Calgary :

• Understand Artificial Intelligence's meaning, purpose, scope, stages, applications, and impacts through this AI Course In Calgary. 
• 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.
• Leverage packages of NumPy and SciPy for implementing advanced level mathematical and (technical) computing and use the Pandas library for data analytics.
• 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 Calgary. These project you will find are ideal for practicing and perfecting what you learned in the areas of convolutional neural networks, unsupervised and unsupervised learning, support vector machines, neural networks, reinforcement learning, recurrent neural networks, Deep learning, reinforcement learning and more.

This Artificial Intelligence Course In Calgary 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. You will on completing this capstone project, acquire a coveted certificate, which you will find to be a globally-accepted proof attesting to your expertise of the skills needed by an AI professional.

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

A global telecom leader with huge footprint in the US, Comcast is seeking a solution to improve its customer happiness number - from finding opportunities for optimization, to implementing fixes. 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 business seeks to implement statistical model based on logistical regression using the parameters provided to track employee churn and determine when churn might happen.

Project 7: Analysis of Calgary 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 employ analytical principles to accurately do stock trade volume and closing price plots, run/implement return analysis daily, and by way of pair plots determine stock correlation.

This Artificial Intelligence Course In Calgary 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 Calgary:

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