Artificial Intelligence for Business

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Why Attend

This course is about getting you on that path. You’ll get a high-level overview of the different technologies under the umbrella of artificial intelligence. There are various examples of how to apply this technology to different business opportunities. Once you better understand the tools, you’ll be in a much better place to create long-term strategies for a new or existing business.
The business opportunities are too diverse (and as yet to be discovered) for a simple list. In this course you will understand the full scope of the technology and then be able to apply it to the opportunities in your organization or even to start a new business.

Event Date: 06/08/2022 – 03/09/2022

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Overview
Course Outline

Course Outline

Introduction To Artificial Intelligence

Introduction to Artificial Intelligence
Data, Information, Knowledge and Intelligence
Basic Concepts of Artificial Intelligence
Benefits of AI
Data Pyramid
Property of Autonomy
Situation Awareness
Business Innovation with Big Data and Artificial Intelligence
Overlapping of Artificial Intelligence with Other Fields
Ethics and Privacy Issues
AI and Predictive Analytics
Application Areas

Core Machine Learning

Machine Learning
Machine Learning Workflow
Learning Algorithms
Linear Regression
k -Nearest Neighbor
Decision Trees
Feature Construction and Data Reduction
Random Forest
k -Means Algorithm
Dimensionality Reduction
Reinforcement Learning
Gradient Boosting
Neural Network

Deep Learning

Introduction
Analyzing Big Data
Different Deep Learning Models
Auto encoders
Deep Belief Net
Convolution Neural Networks
Recurrent Neural Networks
Reinforcement Learning to Neural Networks
Applications of Deep Learning in Business
Business Use Case Example: Deep Learning for e-Commerce

Recommendation Engines

Introduction
Recommendation System Techniques
Content-Based Recommendations
Collaborative Recommendations
Hybrid Approaches
Applications of Recommendation Engines in Business
Collection of Data
Storing the Data
Analyzing the Data
Business Use Case

Natural Language Processing

Introduction
Morphological Processing
Syntax and Semantics
Semantics and Pragmatics
Use Cases of NLP
Text Analytics
Sentiment Analysis
Applications of NLP in Business
Customer Service
Reputation Monitoring
Market Intelligence

Employing AI in Business

Analytics Landscape
Application Areas
Complexity of Analytics
Embedding AI into Business Processes
Implementation and Action
Artificial Intelligence for Growth
AI for Customer Service
Applying AI for Marketing

Duration: 5 Saturdays ( May 18, 25, June 1, 8, 15)

Class Session : 10:00am – 4:00pm each day including Breakfast and Lunch time

Customize Your Training

This training is currently available as residential/in-house option. If you prefer us to customize or have this training in-house at your location, kindly send your request via e-mail to:training@mctimothyassociates.com

Please Note

McTimothy Associates Reserves the right to postpone or cancel a course due to unforeseen circumstances beyond our control. In such cases delegate(s) will be registered for the next run of the Course.