Contact: train@npctime.com | WhatsApp: +971 50 985 0174

Course Type: Intensive 5-day Training
Format: Classroom / Live Online
Language: English
Certificate: NPT – Trainings and Certifications – Business AI (Intermediate)

Course Overview

Artificial Intelligence (AI) is reshaping business across industries. This intermediate-level course equips professionals with practical AI knowledge to enhance decision-making, optimize processes, and drive innovation. Participants will explore machine learning, data analytics, natural language processing, and AI-driven business solutions, with a focus on real-world applications and ethical implementation.

 

Learning Objectives

By the end of this course, participants will be able to:

  • Understand fundamental AI concepts and their business applications.

  • Analyze and create AI-driven solutions to optimize operations.

  • Plan and conduct data-driven business analysis using logical reasoning.

  • Apply techniques such as clustering, classification, and predictive modeling.

  • Collaborate effectively with AI and data science teams.

  • Consider ethical and governance aspects of AI deployment.

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Who Should Attend

Ideal for professionals seeking to leverage AI in business:

  • Project Managers & Executive Managers

  • Marketing, Finance, and Operations Leaders

  • Engineers in systems, electrical, mechanical, and instrumentation

  • Quality, Safety, Reliability, and Security Officers

  • Policy Makers and Budget Planners

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Training Methodology

  • Instructor-led presentations and discussions

  • Interactive workshops with computer-based activities (non-programming)

  • Real-world case studies and practical exercises

  • Video-based learning and hands-on AI simulations

  • Emphasis on accessibility for non-technical participants

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Course Outline

Day 1 – Introduction to AI

  • AI Key Concepts and Business Success Stories

  • Human vs. Artificial Intelligence

  • AI Evolution & Historical Perspective

  • Intelligent Agents and Their Functions

  • Decision-Making Techniques in AI

Day 2 – Intelligent Agents

  • Fundamentals and Types of Intelligent Agents

  • Knowledge Bases vs. Databases

  • Logical Reasoning Principles

  • Unification and Deduction in AI

Day 3 – Machine Learning Fundamentals

  • Supervised vs. Unsupervised Learning

  • Classification and Clustering Techniques

  • Introduction to Neural Networks

  • Object Recognition and Feature Classification

Day 4 – Fuzzy Logic & AI Applications

  • Understanding Fuzzy Logic vs. Probability

  • Fuzzy Sets, Rules, and Controllers

  • Practical AI Application Development

Day 5 – Genetic Algorithms

  • Optimization Concepts: GA Fundamentals

  • Chromosomes, Genes, Selection, Mutation, and Crossover

  • Business Process Optimization with GA

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Organizational Impact

Participants will gain the skills to integrate AI into business operations, streamline processes, and drive innovation. Organizations will benefit from enhanced efficiency, better decision-making, and a culture of data-driven growth.

 

Personal Impact

Participants will gain practical AI skills to improve professional marketability, lead AI projects, and make informed decisions to create value within their organizations.