Professional Diploma in
Machine Learning

Understand one of the most important technologies changing our world today, everything from self-driving cars to your personal Netflix suggestions.

Certification with Expert Guidance

Industry endorsed certificate in Machine Learning, Online & Supported

Lifetime Job Search Support

Perfect your job search skills with lifetime access to our careers portal

Immersive Live Classroom Experience

Real instruction delivered live by experts - interactive & practical classes in the cloud

Starts
February 28, 2022

Duration
11 weeks
(1 evening p/wk)

Days
3 hours per week

Delivery mode
Online-Live Classroom

Price
€895

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Start a Rewarding Career in Machine Learning

  • Get certified in Machine Learning with this industry endorsed Professional Diploma delivered online-live.
  • Obtain the knowledge, skills and competencies to launch a future-proof career with the most disruptive technology in 2021.
  • Delivered live through an easy to use online study environment.
  • Classes are recorded providing you with the flexibility to learn and revise at your own pace and intensity.
  • Supercharge your job search skills with our automated CV analysis tool, AI-powered mock interview tool and robust Jobs Board.

What will I learn?

The ability of a computer to learn without human instruction is driving the development of new applications that can accelerate productivity and competitive edge. Due to the wide adoption of ML across industries, understanding its business applications is now essential to harnessing its value.

Take the Professional Diploma in Machine Learning to understand this hugely in-demand and influential field, and learn:

  • What’s behind the machine learning hype
  • How machine learning works
  • Create supervised machine learning models & assess their performance
  • Gain experience putting machine-learning models into production to address a real-world data challenge.
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What jobs will this programme prepare me for?

Machine Learning is one of the hottest and most disruptive technologies in 2021

Demand for individuals with Machine Learning skills has soared in recent years, ranking among the top emerging jobs on LinkedIn. As more and more companies look to get into this space, they are looking to invest in and hire more machine learning experts to get ahead of their competitors.

And the result of this spending is that there is not enough qualified talent available for organizations in every sector, including technology, software, financial services, and higher education.  The time to solve problems with machine learning is now.

Programme Curriculum

An introduction to the course content and format, including the learning outcomes you can expect and how you will be assessed. You will learn ML concepts.

  • ML definition within AI
  • History of ML
  • Overview of ML applications
  • ML tasks
  • ML statistical learning and algorithms
  • Future of ML

Understand how machine learning methods and algorithms allow computers to learn and extract patterns from raw data for predictions and helping in decision making. 

  • ML categories
  • ML learning algorithms
  • Supervised learning
  • Unsupervised learning
  • Exploratory data analytics

Learn the tools and methods used for building machine learning models.

  • Programming language for ML model development
  • Setup and install Python and R environments
  • Jupyter Notebook and Google colab
  • Database management systems
  • Virtualisation
  • Git / Github

Understand the machine learning process and learn how to build, train, test & evaluate a model using Python programming and libraries.

  • Data collection 
  • Data cleansing
  • Loading data
  • Building a model 
  • Training a model 
  • Testing a model 
  • Evaluating a model 

Recap the course content, discussing the key learning outcomes and best practice from each area covered. 

  • Course summary 
  • Assessments

Learn from the best

Abdu Salah

Abdu holds a Masters of Arts in Education and a Masters in Computer Science and is currently studying for a Masters of Data Science. He has 20 years experience in teaching and training for global companies such as Ericsson and Seagate and lecturing at State colleges. He is proficient in Machine Learning, Python and Java. Abdu works as a trainer and training consultant for private and government sectors. He is passionate about bridging the gap between education and emerging techologies to empower the learner. 

Why should I enrol?

Almost all workplaces are destined to be impacted by Machine Learning. From medical diagnostic companies to autonomous cars, from neural nets used to detect and prevent fraudulent transactions to smart personal assistants, from product recommender systems to airline predictive maintenance, all workplaces of the future will incorporate this discipline.

Modern organisations depend more and more on Big Data. Managers and specialists are now expected to be able to deploy Machine Learning (ML) and Artificial Intelligence (AI) techniques in exploiting this data.

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All Programmes include

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Enjoy a personalised and supported virtual classroom learning experience

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Validated educational pedagogy with an industry-led syllabus

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Real-time industry respected content delivered live by experts

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Global leading online interactive learning platform

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Verified & Shareable Digital Cert featuring the knowledge and skills you gain

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Industry standard software ensuring your learning incorporates the newest features

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Finance options available

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Access to our careers portal to hone your job search skills

Questions?

Machine learning is a sub-discipline of Artificial Intelligence that allows systems to simultaneously learn and improve from past experiences without the need of being explicitly programmed. Machine Learning Engineers use algorithms and statistical models to create computer systems which can learn for themselves. This may be your personal Netflix suggestion, Amazon suggested purchases or a new weather prediction app. Machine learning facilitates the analysis of huge quantities of data, usually delivering faster and accurate results to derive optimised solutions.

The importance of Artificial Intelligence and Machine Learning has been increasing as a growing number of companies are using these technologies to improve their products and services, evaluate their business models, and enhance their decision-making process.  

The main difference between AI and ML is that AI includes all systems, methods, and robots performing intelligent actions. ML only focuses on the AI methods and applications that learn and change their decision patterns based on data.

The main job roles in machine learning include data scientists, machine learning engineers, NLP scientists, computer vision engineers and data architects. This Machine Learning course combined with prior experience and qualifications gives you all the necessary skills to successfully transition into one of these roles.

The Machine Learning course offers an in-depth overview of Machine Learning topics including working with real-time data, developing algorithms using supervised & unsupervised learning, regression, classification and time series modelling. You will get to leverage real life case studies to practice your skills. At the end of the course you will have a working model that you can showcase to prospective employers. You will earn a Learnful certificate that employers can verify to attest to your new skills.   

An early career Machine Learning Engineer with 1-4 years of experience earns an average of €59,602. A mid-career Machine Learning Engineer with 5-9 years of experience earns an average of €70,000. (Source: Pay.com, March 2021. ML engineers salaries in Dublin).

An entry-level Machine Learning Engineer with less than 1 year experience can expect to earn an average of £40,530. An early career Machine Learning Engineer with 1-4 years of experience earns an average of £56,183. A mid-career Machine Learning Engineer with 5-9 years of experience earns an average of £71,139. (Source: Pay.com, March 2021. ML engineers salaries in London).  

The course is intermediate in level with some prerequisites. It is recommended that students have a solid understanding of mathematics, as well as knowledge of Python and programming techniques. Some students have taken self-learning courses or have technical backgrounds, like a degree in maths, computer science or research experience.

Learnful provides recordings of each of the classes so you can review them as needed before the next session. Students will continue to have access to all recordings for a minimum of 30 days after course completion so that you can continue to refer to sessions of interest, complete a reflective diary or access materials to help complete assignments.