Ref Dates Venue Fees CPE Credits Registrations
MG362 25 - 29 Aug 2019 Dubai US$4,950 30 Register
MG362 22 - 26 Dec 2019 Dubai US$4,950 30 Register
MG362 19 - 23 Apr 2020 Dubai US$4,950 30 Register
Introduction

Artificial Intelligence revolution is the development of computer systems able to perform tasks normally requiring human intelligence. When you encounter awe-inspiring technology, it can be challenging to see how you can apply it to your own business. You need a framework and language to ask deeper, sharper questions and find the right strategy.

This five-day Artificial Intelligence Course has been designed to develop the insight of the participants on Data Science. Participants on this EuroMaTech training course will learn how to build Artificial Intelligence, and to optimize the Artificial Intelligence to reach its maximum potential. This EuroMaTech training modules will enable the participants to understand the theory of Artificial Intelligence and help them to understand how to solve real-world problems with Artificial Intelligence.

Participants attending Artificial Intelligence training course will develop the following competencies:

  • Understand the value of Artificial Intelligence and different algorithms
  • Learn how to analyze daily business problems and create Artificial Intelligence solutions
  • Gain a deeper understanding of the latest innovative technologies and apply them to business
Who Should Attend? 

The target audience for this course include professionals who are interested in learning robotics, biometrics, business decision makers, marketing and other competing technologies. This EuroMaTech training course is also meant for people who are very keen about learning Artificial Intelligence, applying its awesome result and its implementation.

Pre-requisite

The topics included in this EuroMaTech training course are related to Probability Theorem and Linear Algebra. Therefore a basic knowledge of statistics and mathematics will be an added advantage for participants wanting to take this course.

 

 

Programme Objectives

By completing this course, the candidates will be able to:

  • How Artificial Intelligence can be optimized so that the maximum potential could be obtained
  • The beginners learn how the codes come is combined and what lines mean?
  • Understanding the procedure of building the Artificial Intelligence
  • Learn how to build Artificial Intelligence that is adaptable to any environment in real life
  • Identify potential areas of applications of Artificial Intelligence
  • Basic ideas and techniques in the design of intelligent computer systems
  • Statistical and decision-theoretic modelling paradigm
  • How to build agents that exhibit reasoning and learning
  • Apply regression, classification, clustering, retrieval, recommender systems, and deep learning
Training Methodology  

This EuroMaTech Artificial Intelligence training course will combine presentations with instructor-guided interactive discussions between participants relating to their individual interests. Practical exercises, video material and case studies aiming at stimulating these discussions and providing maximum benefit to the participants will support the formal presentation sessions.

Above all, the course leader will make extensive use of case examples and case studies of issues in which he has been personally involved.

Programme Summary 

This unique EuroMaTech training course on Artificial Intelligence covers discussion of critical areas of business problem solving and will have above all a practical focus on decision-making.

The focus of this EuroMaTech training course is on the actions required to achieve effective design and introduction of suitable solutions. This will include detailed presentation and discussion of contemporary leading-edge approaches to strategic planning, showing how standard solutions should be modified to reflect intelligence which helps in saving time, money and effort. Moreover, there will be a daily workshop where participants will be guided to suggest, build and modify AI effective solutions.

 

PROGRAM OUTLINE
Day 1 : Overview of Artificial Intelligence
  • Introduction to Artificial Intelligence
  • Representation and Search: State Space Search
  • State Space Search
  • Graph theory and information of state space search
  • Problem Solving through state space search
  • DFS and BFS algorithms
  • Backtracking algorithms
  • Workshop 1: Building a state space of some problems
Day 2 : Representation and Search: Heuristic Search
  • Heuristic search overview
    • Pure Heuristic Search
    • A* Algorithm
    • Iterative- Deepening A*
    • Heuristic Path Algorithm
  • Simple hill climbing
  • Min Max algorithm
  • Alpha beta pruning
  • Workshop 2: Building an intelligent X-O gamer
Day 3 : Logics and Reasoning
  • Logic reasoning overview
  • First Order Predicate (FOP)
  • Modus ponens and Modus tollens
  • Unification and deduction process
  • Resolution
  • Machine Learning
    • Machine learning overview
    • Clustering and classification algorithms
  • Workshop 3: Building Search Intelligent Agents
Day 4 : Decision Making
  • Intelligent agent
    • Generic agent
    • Autonomous agent
    • Reflex agent
  • Goal based agent
  • Utility based agent
    • Decision theory
    • Decision network
    • Reinforcement learning
    • Markov Decision Processes (MDP)
    • Dynamic Decision Networks (DDN)
  • Workshop 4: Building Search Intelligent Agents
Day 5 : GAS, ANN and Fuzzy Logic
  • Genetic Algorithms
    • GAS and optimization
    • Chromosome and problem coding
    • Which problems are more suitable for Gas
    • Why GAS has success story
  • ANN
    • NN background
    • Why NN model is good
    • When to use ANN
    • Examples for ANN
    • OCR as ANN
  • Fuzzy Logic
    • Fuzziness vs Probability
    • Fuzzy set and membership
    • Fuzzy controller
    • Fuzzy speed control example
  •  Workshop 5: Building a fuzzy logic application

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© 2019. Material published by Euromatech shown here is copyrighted.

All rights reserved. Any unauthorized copying, distribution, use, dissemination, downloading, storing (in any medium), transmission, reproduction or reliance in whole or any part of this course outline is prohibited and will constitute an infringement of copyright.




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Artificial Intelligence (AI)
Transforming Business with New Technologies



Upcoming Dates

25 - 29 Aug 2019 in Dubai, $4,950

22 - 26 Dec 2019 in Dubai, $4,950

19 - 23 Apr 2020 in Dubai, $4,950



Introduction

Artificial Intelligence revolution is the development of computer systems able to perform tasks normally requiring human intelligence. When you encounter awe-inspiring technology, it can be challenging to see how you can apply it to your own business. You need a framework and language to ask deeper, sharper questions and find the right strategy.

This five-day Artificial Intelligence Course has been designed to develop the insight of the participants on Data Science. Participants on this EuroMaTech training course will learn how to build Artificial Intelligence, and to optimize the Artificial Intelligence to reach its maximum potential. This EuroMaTech training modules will enable the participants to understand the theory of Artificial Intelligence and help them to understand how to solve real-world problems with Artificial Intelligence.

Participants attending Artificial Intelligence training course will develop the following competencies:

  • Understand the value of Artificial Intelligence and different algorithms
  • Learn how to analyze daily business problems and create Artificial Intelligence solutions
  • Gain a deeper understanding of the latest innovative technologies and apply them to business
Who Should Attend? 

The target audience for this course include professionals who are interested in learning robotics, biometrics, business decision makers, marketing and other competing technologies. This EuroMaTech training course is also meant for people who are very keen about learning Artificial Intelligence, applying its awesome result and its implementation.

Pre-requisite

The topics included in this EuroMaTech training course are related to Probability Theorem and Linear Algebra. Therefore a basic knowledge of statistics and mathematics will be an added advantage for participants wanting to take this course.

 

 

Programme Objectives

By completing this course, the candidates will be able to:

  • How Artificial Intelligence can be optimized so that the maximum potential could be obtained
  • The beginners learn how the codes come is combined and what lines mean?
  • Understanding the procedure of building the Artificial Intelligence
  • Learn how to build Artificial Intelligence that is adaptable to any environment in real life
  • Identify potential areas of applications of Artificial Intelligence
  • Basic ideas and techniques in the design of intelligent computer systems
  • Statistical and decision-theoretic modelling paradigm
  • How to build agents that exhibit reasoning and learning
  • Apply regression, classification, clustering, retrieval, recommender systems, and deep learning
Training Methodology  

This EuroMaTech Artificial Intelligence training course will combine presentations with instructor-guided interactive discussions between participants relating to their individual interests. Practical exercises, video material and case studies aiming at stimulating these discussions and providing maximum benefit to the participants will support the formal presentation sessions.

Above all, the course leader will make extensive use of case examples and case studies of issues in which he has been personally involved.

Programme Summary 

This unique EuroMaTech training course on Artificial Intelligence covers discussion of critical areas of business problem solving and will have above all a practical focus on decision-making.

The focus of this EuroMaTech training course is on the actions required to achieve effective design and introduction of suitable solutions. This will include detailed presentation and discussion of contemporary leading-edge approaches to strategic planning, showing how standard solutions should be modified to reflect intelligence which helps in saving time, money and effort. Moreover, there will be a daily workshop where participants will be guided to suggest, build and modify AI effective solutions.

 

PROGRAM OUTLINE
Day 1 : Overview of Artificial Intelligence
  • Introduction to Artificial Intelligence
  • Representation and Search: State Space Search
  • State Space Search
  • Graph theory and information of state space search
  • Problem Solving through state space search
  • DFS and BFS algorithms
  • Backtracking algorithms
  • Workshop 1: Building a state space of some problems
Day 2 : Representation and Search: Heuristic Search
  • Heuristic search overview
    • Pure Heuristic Search
    • A* Algorithm
    • Iterative- Deepening A*
    • Heuristic Path Algorithm
  • Simple hill climbing
  • Min Max algorithm
  • Alpha beta pruning
  • Workshop 2: Building an intelligent X-O gamer
Day 3 : Logics and Reasoning
  • Logic reasoning overview
  • First Order Predicate (FOP)
  • Modus ponens and Modus tollens
  • Unification and deduction process
  • Resolution
  • Machine Learning
    • Machine learning overview
    • Clustering and classification algorithms
  • Workshop 3: Building Search Intelligent Agents
Day 4 : Decision Making
  • Intelligent agent
    • Generic agent
    • Autonomous agent
    • Reflex agent
  • Goal based agent
  • Utility based agent
    • Decision theory
    • Decision network
    • Reinforcement learning
    • Markov Decision Processes (MDP)
    • Dynamic Decision Networks (DDN)
  • Workshop 4: Building Search Intelligent Agents
Day 5 : GAS, ANN and Fuzzy Logic
  • Genetic Algorithms
    • GAS and optimization
    • Chromosome and problem coding
    • Which problems are more suitable for Gas
    • Why GAS has success story
  • ANN
    • NN background
    • Why NN model is good
    • When to use ANN
    • Examples for ANN
    • OCR as ANN
  • Fuzzy Logic
    • Fuzziness vs Probability
    • Fuzzy set and membership
    • Fuzzy controller
    • Fuzzy speed control example
  •  Workshop 5: Building a fuzzy logic application

© 2019. Material published by Euromatech shown here is copyrighted. All rights reserved. Any unauthorized copying, distribution, use, dissemination, downloading, storing (in any medium), transmission, reproduction or reliance in whole or any part of this course outline is prohibited and will constitute an infringement of copyright.

VAT Announcement: The Government of UAE have introduced Value Added Tax (VAT) on goods and services from 01-January-2018. In compliance with the legislation issued by the UAE Government, we will be applying a 5% VAT on the fees for all our programs and services offered from January 2018 as applicable and stipulated in the FTA circulars.

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© 2019. Material published by Euromatech shown here is copyrighted.

All rights reserved. Any unauthorized copying, distribution, use, dissemination, downloading, storing (in any medium), transmission, reproduction or reliance in whole or any part of this course outline is prohibited and will constitute an infringement of copyright.

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