AI/ML Algorithm Basics
9,2 Rated
Dive into the foundational concepts of AI and machine learning with our AI/ML Algorithm Basics course, which covers algorithm history, key characteristics, and differences between AI/ML algorithms. Participants will learn a reusable framework for algorithm selection, from problem definition to production deployment, and apply these concepts in real-world scenarios through interactive exercises.
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Upcoming courses
- Applies to all Learning Journeys
- English
Short summary
Dive into the foundational concepts of artificial intelligence and machine learning with our AI/ML Algorithm Basics course. This program provides an overview of algorithm history, key characteristics, and the differences between various AI/ML algorithms.
Participants will learn a reusable framework for algorithm selection, covering everything from problem definition to production deployment. The course includes interactive exercises to apply these concepts in realistic scenarios, with varying levels of difficulty.
Our Trainer
Shaun McGirr
Chief AI & Data Officer, DevOn, Speaker
Data leader Shaun McGirr’s expertise spans statistics, academia, and consulting, especially in automotive data science. Known for his insights in the documentary Data Science Pioneers, Shaun promotes the power of strategic questioning in data science for real-world impact.
Course objectives
The learning objectives for this workshop include the following:
- Understand the evolution of AI/ML algorithms
- Learn to differentiate AI/ML algorithms, particularly gen. AI vs other types.
- Learn when to use off-the-shelf algorithms vs building your own.
- Master a reusable framework for selecting and implementing AI/ML algorithms.
- Gain practical experience in exercises simulating real-world decision-making
Course topics
- Brief History of Algorithms
- Evolution of algorithms from 1872 to 2022
- Common features of AI/ML algorithms
- Differences based on problems they solve and input requirements, with a focus on generative AI vs. other AI/ML
- Decision criteria for using off-the-shelf vs. custom-built algorithms
- Reusable Framework for Algorithm Selection
- Defining the prediction problem
- Assessing data requirements and availability
- Short-listing the most suitable algorithmic approaches
- Testing and evaluating algorithm performance
- Planning the path to production deployment
- Interactive Small-Group Exercises
- Simulating the algorithm selection process
- Exercises with two levels of difficulty/complexity to ensure inclusivity
- Applying theoretical knowledge to practical scenarios
Target audience
This training is suitable for the following roles:
- Data scientists and machine learning engineers seeking foundational knowledge of AI/ML algorithms.
- Software developers and engineers interested in integrating AI/ML into their projects.
- Technical managers and team leads responsible for AI/ML projects.
- Anyone interested in understanding the basics of AI/ML algorithms and their practical applications.
- Organizations looking to build or enhance their AI/ML capabilities with a strong foundational understanding.
Testimonials
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Training dates
Payment methods
Need help?
Please contact us via email or call us by the number stated below. We are more than happy to help you.
+31 (0)15 - 241 19 00
academy@devon.nl
Payment methods
Need help?
Please contact us via email or call us by the number stated below. We are more than happy to help you.
+31 (0)15 - 241 19 00
academy@devon.nl
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FAQ
After your registration has been confirmed, you are still able to change the date up to 20 days before the first day of the training. You are able to do this once. Please send your request to academy@devon.nl or call +31(0)15-24 11 900 for further assistance.
Two weeks before each training, we will check if we have enough participants for the training course to be valuable and continue. If this is not the case, we will inform you by e-mail, with options for a new date and location. After this notification, you will have the right to cancel or change your registration within 5 working days.
On the website you can choose to pay via iDeal, creditcard or by invoice with a payment period of 30 days.
Most of our courses are available in both English and Dutch. We have a selection of training courses which are only available in English, which will be on that training page. Our rule of thumb for courses in the Netherlands is – the course is in English unless everybody speaks Dutch, then the course is in Dutch. If you want to be sure you are in a Dutch course, please get in touch with academy@devon.nl in case the information on a specific date is not available on the course page.
Unless mentioned otherwise, the course fee includes the cost of training material, exam cost, the use of the location, catering and parking.
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The costs that apply to our programs initiated from the Netherlands are exempt from sales tax as per Article 11-1-o of the 1968 Sales Tax Act. In other locations/countries, the prices shown are excluding VAT, which will be added.
Is the ‘register’ headline visible? This means you can register and attend the training. Does the headline say ‘full’? Give us a call and we’ll try and help you out!
All course material for the open registrations is in English.
If you are doing the PSD (Scrum.org) or one of the certified DevOps Institute trainings, you will receive your exam code on the final day of the training.
We have a payment term of up to 30 days
