Professional Certificate of Competency in Machine Learning and Artificial Intelligence

Course at a Glance


Course Name - Professional Certificate of Competency in Machine Learning and Artificial Intelligence

Course Code - CMQ

Qualification - Professional Development

Duration - 3 Months

CEU/CPD* - on enquiry

*CEU/CPD hours vary according to your professional body.

IN THIS 3-MONTH INTERACTIVE LIVE ONLINE COURSE YOU WILL:

  • Demonstrate an understanding of machine learning and its basic techniques
  • Solve problems using search algorithms
  • Examine and discuss Simultaneous Localization and Mapping (SLAM)
  • Solve problems using supervised learning methods
  • Use WEKA software for data analysis and machine learning
  • Solve problems using mathematical optimization
  • Use MATLAB for machine learning

 

Contact us for more information and future start dates.

EIT Professional Certificate of Competency in Subsea Oil and Gas Technology endorsed by the International Society of Automation (ISA)

 

 

 

 

 

 

 

 

 

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Details

Overview

Machine learning is a field of computer science that programs computers with the ability to learn from data and make informed, adaptive dynamic predictions and decisions using algorithms. It is related to computational statistics, mathematical optimization and Artificial Intelligence (A.I.).

The last decade has witnessed exciting developments in machine learning that led to impressive consumer applications such as virtual assistants and speech recognition. This remarkable development results from increasingly powerful computers and the proliferation of smart objects' data.

Machine learning will probably revolutionize every industry. Some applications already exist, but many are to come especially with the advent of Internet of Things (IoT) and Industrial Internet of Things (IIoT). Autonomous vehicles, predictive maintenance, fault diagnosis, smart alarm processing, and advanced process control are few domains where machine learning could be applied in the industry.

Over 12 weeks, this course will aim to introduce you to basic techniques used in machine learning. You will learn how techniques such as neural networks or decision trees can solve real world problems. You will learn how to use MATLAB and WEKA software tools to apply machine learning in practice.
 

Course Outline

MODULES 1 & 2: INTRODUCTION TO MACHINE LEARNING

  • Definitions
  • Introduction to algorithms
  • Basic statistics and probability concepts
  • Introduction to MATLAB and WEKA

 

MODULES 3 & 4: PROBLEM SOLVING BY SEARCH PART 1

  • Problem-solving agents
  • Problem types
  • Example problems
  • Basic search algorithms

 

MODULES 5 & 6: PROBLEM SOLVING BY SEARCH PART 2

  • Best-first search
  • A* search
  • Hill-climbing search
  • Genetic algorithms

 

MODULES 7 & 8: SIMULTANEOUS LOCALIZATION AND MAPPING (SLAM)

  • Robot localization techniques and principles
  • Mathematical optimization
  • Overview of Kalman filters and particle filters
  • SLAM

 

MODULES 9 & 10: MACHINE LEARNING: DECISION TREES AND NAÏVE BAYES

  • Problems solved by machine learning
  • Decision trees
  • Naïve Bayes

 

MODULES 11 & 12: MACHINE LEARNING: NEURAL NETWORKS AND RULES

  • K-NN
  • Neural networks
  • Association rules

 

Learning and Teaching

Benefits of eLearning to Students

  • Cost effective: no travel or accommodation necessary
  • Interactive: live, interactive sessions let you communicate with your instructor and fellow students
  • Flexible: short interactive sessions over the Internet which you can attend from your home or office. Learn while you earn!
  • Practical: perform exercises by remotely accessing our labs and simulation software
  • Expert instructors: instructors have extensive industry experience; they are not just 'academics'
  • No geographical limits: learn from any location, all you need is an Internet connection
  • Constant support: from your instructor(s) and a dedicated Learning Support Officer for the complete duration of the course
  • International insight: interact and network with participants from around the globe and gain valuable insight into international practice 


Benefits of eLearning to Employers

  • Lower training costs: no travel or accommodation necessary
  • Less downtime: short webinars (60-90 minutes) and flexible training methods means less time away from work
  • Retain employees: keep staff who may be considering a qualification as full time study
  • Increase efficiency: improve your engineering or technical employees’ skills and knowledge
  • International insight: students will have access to internationally based professional instructors and students

 

How Does it Work?

EIT eLearning courses involve a combination of live, interactive sessions over the Internet with a professional instructor, set readings, and assignments. The courses include simulation software and remote laboratory applications to let you put theory to practice, and provide you with constant support from a dedicated Learning Support Officer.


Practical Exercises and Remote Laboratories

As part of the groundbreaking new way of teaching, our online engineering courses use a series of remote laboratories (labs) and simulation software, to facilitate your learning and to test the knowledge you gain during your course. These involve complete working labs set up at various locations of the world into which you will be able to log to and proceed through the various practical sessions.

These will be supplemented by simulation software, running either remotely or on your computer, to ensure you gain the requisite hands-on experience. No one can learn much solely from lectures, the labs and simulation software are designed to increase the absorption of the materials and to give you a practical orientation of the learning experience. All this will give you a solid, practical exposure to the key principles covered and will ensure that you obtain maximum benefit from your course.

 

Contact Our Course Advisors

Click here to contact us to receive assistance from our Course Advisors.

 Enquire abut our online engineering course fees

 

In Company Online Training Solutions

Special class groups can be arranged on request to match your own schedule. If you have a large number of staff who should complete any of our programs, read more about EIT's In Company Online Training HERE and contact us to assist you further.

 

Brochure

To access the detailed program brochure, please complete this form.
EIT course on Machine Learning and Artificial Intelligence

Fee Information

Course Fees

What are the fees for my country?

The Engineering Institute of Technology (EIT) provides distance education to students located all around the world – it is one of the very few truly global training institutes. Course fees are paid in a currency that is determined by the student’s location. We aim to give you a rapid response regarding course fees that are relevant to your individual circumstances.

We understand that cost is a major consideration before a student begins to study. For a rapid reply to your query regarding courses fees and payment options, please contact a Course Advisor in your region via the below button and we will respond within two (2) business days.

Enquire abut our online engineering course fees

 

EIT Certificate Course Payment Information

Please contact us with your location for certificate fees in the relevant currency. Full payment is required between two (2) and four (4) weeks before the course starts.

Certificate fees include:

  • All live webinars with a professional instructor
  • Four (4) technical manuals (as searchable eBooks)
  • Course materials
  • Software
  • Assignments, and
  • Ongoing support from a dedicated Learning Support Officer

All you need to participate is an Internet connection, a computer, speakers and, if possible, a microphone.

 

Fee concessions may apply for multiple bookings on our certificate courses.

For a rapid reply to your query regarding courses fees and payment options, please contact us and we will respond within two (2) business days.

Enquire abut our online engineering course fees 

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