trainings and workshops

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Trainings & Workshops

Trainings are mainly for data scientists and machine learning engineers. Together we dive into cutting-edge A.I. frameworks, study state-of-the-art models, look at workflow structures and discuss effective machine learning pipelines. This includes hands-on coding, reviewing recent literature and evaluating model specifications as well as team building exercises and techniques to promote creativity or deal with pressure. Choose your path to grow.

Trainings

With A.I. Trainings we speed up your development processes for intelligent applications. The agendas are thoroughly arranged and are based on many years of experience.

Theory starts. It’s the foundation for everything that follows. Content is arranged such that you gain sufficient insights to apply the algorithms in meaningful ways, but you do not have to track mathematical proofs. Understanding is the key.

Frameworks are next. In the framework session we dive into state-of-the-art frameworks like TensorFlow, Keras or PyTorch that speed up development pipelines tremendously and ease especially prototyping.

The importance of data preprocessing and feature extraction cannot be emphasized enough. They influence heavily a model’s performance and could even dictate its rise or fall. Here you gain deeper insights into this major step and you explore, how the modern frameworks accommodate you therein with excellent functionality.

Model design defines the choice of the right model and even though this process is mostly steered by experience there are some fundamentals from where you can start.

Model training and testing is the center peace of model development and you need good skills to succeed therewith. Performance and training time are factors you will understand to trade-off. You learn a lot of tricks how to improve training and where to stop it.

Model deployment is the ultimate goal for each machine learning project and plays already in alpha testing such a significant role that you will touch it here.

Guided hands-on projects let you feel first-hand how it is to develop A.I. and assist you on your path towards successful real-life assignments.

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Workshops are primarily for executives and project managers. Together we bring forward new ideas and clarify what A.I. means for your business. This includes sharpening and deepening a general understanding of how A.I. works, providing practical guidelines to lead A.I. projects and deliver keen insights into staffing and maintaining cutting-edge machine learning teams. Choose your path to future business.

Workshops

With A.I. Workshops we fast-track your intelligent business innovations. Contents are compiled with regard to completeness and also to promote effectiveness. The procedures therein arise from direct experiences as well as years of observation.

Knowledge comes first. Understanding the fundamental ideas and technical setups of intelligent applications brings you already half-way towards planning them.

Special topics are chosen by you. They can be industry or problem related and are  turned here upside down. Examples range from how to find a company A.I. strategy or how to start with A.I. at all towards organizing and staffing teams.

Discussions offer you the opportunity to put what you have learned into the context of your own business processes and could identify certain areas for application.

Innovation sessions are organized in the form of guided teamwork and let you directly apply your knowledge to create business value with A.I.

Roadmap sessions demonstrate planning phases for your starting A.I. ventures and provide practical guidelines for procedures to expect.

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Looking for something else?

We develop ideas with or for you and support you and your team along the whole A.I. transformation journey. Unlimited creativity, well-experienced practices and a broad expertise are at your disposal. If you are interested to outsource pioneer work let’s get in contact.

Research

Approach, Envision & Shape

Design

Build, Tune & Deploy

Training

Build, Tune & Deploy

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