Machine Learning – e-learning with Skillsoft

Build skills in machine learning and learn how algorithms and models can be used to analyze data, identify patterns and develop intelligent solutions.

Register interest

The e-learning bundle from Skillsoft consists of several courses that build skills from introductory to advanced level. The content covers supervised machine learning, deep learning, reinforcement learning and the use of AI tools and frameworks, among other topics.

The bundle also touches on technologies and tools such as TensorFlow, Keras, Python, AWS, BigQuery ML, MLflow and MLOps, giving you insight into the different technologies used in modern machine learning environments.

What do you get out of the e-learning bundle?

Through the learning content, you can, among other things:

  • Understand key concepts and methods in machine learning
  • Learn how machine learning models are trained on data
  • Work with supervised machine learning
  • Gain insight into deep learning and neural networks
  • Understand basic principles of reinforcement learning
  • Explore methods such as regression, classification and clustering
  • Learn how AI tools can support the development and optimization of models
  • Build on your skills from introductory level to more advanced topics

Who is the bundle for?

The e-learning bundle is for you if you want to build or further develop your skills in machine learning.

It is particularly relevant for:

  • Developers
  • Data analysts
  • Data scientists
  • Technical consultants
  • IT professionals
  • Anyone who wants to understand how machine learning and AI are used in practice

Prerequisites

There are no formal prerequisites for the bundle.

The content is available at both introductory and advanced levels, so you can choose learning resources that match the skills you already have.

Course content

Fundamentals of Machine Learning

Provides a basic introduction to machine learning and how systems can learn patterns from data to make predictions and decisions.

AI-Accelerated Machine Learning Techniques

Explores key machine learning techniques such as regression, classification and clustering, and how AI tools can be used to support the work.

Fundamentals of Supervised Machine Learning

Provides an introduction to supervised machine learning and how algorithms are trained on labeled datasets to make predictions.

AI-Accelerated Supervised Machine Learning

Shows how AI tools can support the development, testing and optimization of supervised machine learning models.

Building a Generative AI-Ready Organization

Provides insight into how organizations can prepare for and work with generative AI as part of technological and business initiatives.

Fundamentals of Deep Learning

Provides an introduction to deep learning and how machines can learn complex and hierarchical representations of data.

Contextualizing Reinforcement Learning

Explains the principles behind reinforcement learning and how agents learn to make decisions through interaction with an environment.

Implementing Simple Reinforcement Learning Methods

Goes beyond the theory and shows how basic reinforcement learning methods can be implemented in practice.

Skill Benchmark – Reinforcement Learning

A skills assessment with 10 questions that tests a basic understanding of reinforcement learning and Q-learning.