McTimothy Associates

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Artificial Intelligence for Business

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.

$ 159.54

Event Date: 06/08/2022 – 03/09/2022


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

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.

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