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Training Programs in Applied Artificial Intelligence

AI training for yourself, your students, or your employees

Succeed in value-creating AI with training programs by experts

Modulai Education offers a variety of educational sessions and courses to help clients learn the skills they need to succeed in Machine Learning.

We offer single sessions and full courses

Our sessions are one-time events focused on specific topics, while our courses are longer, more in-depth classes that cover a range of subjects and include hands-on coding. We teach disciplines such as Machine Learning, Python, MLOps, Model Explainability, Bayesian Modelling, and Business Opportunities with ML. Our educational offerings are based on the lessons we have learned from our past projects, which include solving real-world problems and deploying Machine Learning solutions in production environments at scale.

Since 2018, we have provided training for specific roles in the market for companies such as Volvo, Scania, SIDA, Bizware, and Cadeia, as well as for students at AI Sweden, Hyper Island, and Nackademin. Drawing on our extensive experience in applying Machine Learning to various industries, from startups to enterprises, encompassing areas such as retail, healthcare, public sector, gaming, forestry, sports, energy, finance, and beyond, we are able to provide top-tier education that is customized to our client’s specific requirements.

We are committed to providing the highest quality education to help our clients reach their professional goals. If you’re unsure which session or course is right for you, don’t hesitate to contact us, and we will guide you to choose the best option. Additionally, we offer customized courses based on your specific requests, ensuring that you receive the education you need to succeed in the field of Machine Learning.

Courses available

We offer customized courses for domain experts and leaders about machine learning and AI.

Review

Our courses are highly appreciated and constantly updated based on feedback.

Successful projects

Since the start 2018 we have completed more than 60 successful projects.

Wanna hear more about our education offering?

MLOps and ML Engineering for Production use

A one-day or three-session course

MLOps is a set of practices that enable organizations to manage the production ML lifecycle in the same way as software development. It helps organizations create an environment for ML model development, deploy models securely and reliably, monitor performance, and automate updating and deploying models. In this course, you will learn how we work with MLOps and how it can be used in your organization to optimize your operations.

Who is this for? 
Machine Learning Engineers, Data Engineers, Data Architects

Type of Course: 
Online or at site
Company-specific education on request

Duration:
6-8 hours

Price:
9.900 Sek (per person)
80.000 Sek (up to 10-15 participants)

When: On request

Machine Learning for BI Specialists

A four-session course for BI Specialists

This course will give you a comprehensive understanding of machine learning fundamentals, including terms, concepts, and the latest methods. We will explore tools and frameworks like R and Python, Jupyter, and your preferred cloud platform. With this knowledge, we will use tabular data from various sources to solve real-world problems. Participants will gain hands-on experience with the tools and techniques and coding together. This course will combine lectures and hackathons to gain a fundamental understanding of machine learning and acquire hands-on skills for coding in Python and building models.

Who is this for? 
Business Intelligence Specialists

Type of Course: 
Online or at site
Company-specific education on request

Duration:
10-12 hours spread over four occasions

Price:
9.900 Sek (per person)
95.000 Sek (up to 10-20 participants)

When: On request

Machine Learning for Data Engineers

A focused course for Data Engineers divided into four sessions

This course aims to introduce participants to the typical workflow of a data engineer in ML projects. Upon completion, they will have a fundamental understanding of data pipelines in Python, including feature engineering for machine learning, a clear understanding of the data needed for an ML project, and basic knowledge of the tools and components commonly used in ML projects in the cloud. Prerequisite: SQL/ETL.

Who is this for? 
Data Engineers

Type of Course: 
Online or at site
Company-specific education on request

Duration:
10-12 hours spread over four occasions

Price:
9.900 Sek (per person)
95.000 Sek (8-20 participants)

When: On request

Bayesian Modelling in Python

Framing to implement Bayesian analysis in Python

This course explores Bayesian statistics, from the concept of probability to more complex concepts like computational inference with Markov chain Monte Carlo. Practically, you will go through an end-to-end Bayesian analysis from framing the question to formalizing models to implementing them in Python. You will gain hands-on experience and see the benefits of the Bayesian approach, as compared to the Frequentist approach, such as a better accounting of uncertainty, better interpretability of results, and a more explicit expression of assumptions. We will explore regression and classification tasks, including hierarchical linear models.

Who is this for? 
ML Engineers/Specialists, Data Scientists

Type of Course: 
Online or at site
Company-specific education on request

Duration:
14 hours, two full days

Price:
13.900 Sek (per person)
120.000 Sek (8-20 participants)

When: On request

Explainable AI

A four-hour session for professionals or students

This course will introduce Explainable Artificial Intelligence (XAI), discussing key terms and concepts, and why it is important. It will explore the trade-off between explainability and accuracy in AI models, and current techniques for explainability, such as SHapley Additive exPlanations (SHAP), Partial Dependence Plots (PDP), and Individual Condition Expectations plots (ICE). Through hands-on coding exercises, participants will gain an understanding of how to implement these techniques in their projects.

Who is this for? 
Both students and working professionals who have an understanding of ML and AI, and know basic python programming

Type of Course: 
Online or at site
Company-specific education on request

Duration:
4 Hours

Price:
4.900 Sek (per person)
40.000 Sek (up to 10-20 participants)

When: On request

Business Opportunities with Machine Learning

A two-hour inspirational session about business opportunities with machine learning.

Business Opportunities is a two-hour inspirational learning session covering the basics of machine learning but mainly focusing on how to connect business to it. What is needed to succeed with a machine l learning project and how do you get there?

Who is this for? 
Companies or organizations interested in Artificial Intelligence and Machine Learning

Type of Course: 
Online or at site
Company-specific education on request

Duration:
2 hours

Price:
15.900 sek

When: On request, next online event (for free), 10th of April

Introduction to Machine Learning or Deep Learning

A one-day or three-session course for professionals or students working with data.

An essential part of succeeding with a machine learning project is to have access to and a great understanding of data. In this course, you will be introduced to machine learning, deep learning, and hands-on coding experiences by using open-source datasets and being guided by machine learning engineers. Both practical and theoretical

Who is this for? 
Professional developers (Data Analysts, -Engineers, -Architects) and students with basic knowledge of python.

Type of Course: 
Online or at site
Company-specific education on request

Duration:
6-8 hours

“It was unexpectedly easy to understand how ML works, and it depends on practical pedagogy by a teacher who has done real-world ML solutions”
Ludvig Ahlström-Lundin, former CEO at Cadeia

Price:
9.900 Sek (per person)
80.000 Sek (up to 10-15 participants)

When: On request




“It was unexpectedly easy to understand how ML works, and it depends on practical pedagogy by a teacher who has done real-world ML solutions”

Ludvig Ahlström-Lundin, former CEO at Cadeia




“The Data Engineering course was precious and gave our data engineers a solid foundation to build upon and continue strive”

Erik Grimelius, Co-founder of Bizware

Hear more or book sessions

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