BCS Machine Learning Award

Price
Net €
VAT €

Price
Price on Request

Duration
1 day

For companies and job seekers:
this course is 100% fundable!

Location

Course Language
English

Training Solutions
Online Live

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Automated analyses and intelligent systems shape modern corporate landscapes. Machine learning provides the methodological basis for evaluating data in a structured manner and making business processes more efficient. Anyone who wants to use AI strategically needs a clear understanding of the underlying models.

Key topics

Concepts and terms of machine learning.
Data management and model training.
Classification, regression, clustering.
Evaluation of models.
Practical examples from business and IT.
Responsible use of AI.

Prerequisite
Experience in working with digital systems or data is advantageous.

Target group
Professionals from IT, business intelligence, digitalization, and project and innovation environments.

Structured knowledge of machine learning increases the ability to realistically evaluate AI initiatives and integrate them in a strategically meaningful way.

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Course content

Introduction to machine learning

Definition and overview
Applications of machine learning
The role of learning agents
The concept of deep learning
Purpose and function of neural networks
Integration with knowledge-based systems
Data interaction in machine learning

Programming in the field of machine learning

Programming languages for machine learning
Software tools: open source vs. proprietary

Algorithm for machine learning

Mathematical fundamentals
Common algorithms in machine learning
Types of learning: supervised, unsupervised, and semi-supervised

Machine learning in practice

Problem identification for solutions with machine learning
Data preparation and processing
Training of machine learning models
Testing and validating models
Evaluation and reporting of results to stakeholders

Your training will be 100% funded

Our funding schemes are available exclusively to participants who live or work in Germany. Funding is not available outside Germany.

For career starters, job seekers, career changers, startups, experienced professionals, those looking to advance their careers, specialists, etc.

The QCG program for everyone in the company

Further information

The education voucher for all job seekers

Further information

Frequently asked questions

What is the EXIN BCS Machine Learning Award?

The EXIN BCS Machine Learning Award is an internationally recognized certification covering the fundamentals and application of machine learning. It covers key concepts, data analysis, model training, ethical aspects, and practical applications in modern IT and data projects.

What content is covered in the training?

Key topics include machine learning fundamentals, data preparation, model types, training methods, and evaluation of results. In addition, the focus is on application examples, risks, bias, governance, and the responsible use of AI technologies.

Who is the machine learning certification suitable for?

The certification is suitable for professionals in IT, data analytics, business analysis, project management, and digitalization. Roles related to data strategy, AI implementation, or data-driven business processes also benefit from a solid foundation.

What requirements make sense?

Basic knowledge of data analysis, statistics, or IT projects is helpful. An understanding of digital business processes and an interest in artificial intelligence also make it easier to get started with machine learning concepts and their practical application.

What are the advantages of certification in the field of machine learning?

The certification confirms a sound understanding of modern machine learning concepts. Companies benefit from better evaluation of AI projects, structured data analysis, and informed decisions when introducing data-driven technologies.

Which topics related to artificial intelligence will be covered?

The focus is on machine learning methods, data sets, training models, prediction methods, and ethical and organizational aspects of AI. In addition, typical application scenarios in companies and data-driven applications are explained.

What role does machine learning play in companies?

Machine learning enables automated pattern recognition, forecasting, and data-driven decisions. Typical areas of application include process optimization, risk analysis, marketing analysis, quality control, and intelligent automation.

What are the benefits of machine learning for digital business models?

Data-based models improve predictions, personalized services, and automated analyses. This gives companies competitive advantages, more efficient processes, and a sound basis for decision-making in digital strategies.

Do you have any further questions? Please contact us.

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