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Machine Learning for developers

Machine Learning has seen a tremendous growth in recent years. The ever increasing amount of information collected by enterprises and organizations has emphasized the need to create intelligent software built on top of the collected data.

The use of neural networks and deep learning has been a major contributor to the success in this new field of software development. Historical data is used to train models that learns to identify complex patterns which can be used to analyze future events.

The fast development in this area has created a vast amount of possibilities for enterprises and organizations to create innovative solutions that solves and automates complex tasks. Today, machine learning is applied in numerous applications ranging from translation of text, fraud detection and self driving cars.

In this course you will get a practical introduction to the field of neural networks. The course is built around three cases within data science, image analysis and text analysis. The course mixes practical implementation with theoretical understanding. After finishing this course you will have an understanding of how to apply machine learning, and how to efficiently deploy deep learning solutions.

What you will learn

  • Practical application of machine learning

  • Theoretical background

  • Developing with TensorFlow - one of the largest frameworks for machine learning

  • Efficient use of machine learning on mobile units

  • Introduction to a wide range of tools used in machine learning


  • Overview of machine learning

  • Overview of core concepts in ML

  • Introduction to TensorFlow

Neural Networks

  • Neural Networks and its applications

  • Core concepts: Layouts, neurons, activation-functions and regularization

  • Transfer learning

Applied Machine Learning

  • Practical application of machine learning

  • Prediction and data analysis

  • Neural networks and image analysis

  • Text analysis and neural networks

Inference on mobile units

  • Overview of TensorFlow Lite

  • Adapting neural networks to mobile units


Target group & Prerequisites

This course is for programmers that wants a practical introduction to machine learning. You should be comfortable with programing. The course uses Python but previous experience with the language is not required.

21 500 SEK ex moms

Next course opportunity
New date will soon appear, please contact us for more information

- The course is given remote or in classroom
- Contact us for upcoming courses
- If you are a team there is an opportunity for content adaptation based on your needs

Duration: 2 days             

Level: Advanced

Language: English/Swedish                  

Course code: T101

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