AI for Developers

End-to-end expertise: from use case to deployment
Hands-on exercises with Python, TensorFlow, and PyTorch
For technical professionals who want to develop AI applications themselves

From idea to implementation – practical AI expertise for your tech team

This training enables technical professionals to develop, scale, and deploy AI solutions end-to-end.It covers machine learning, use-case thinking, and MLOps – all with a strong practical focus and the goal of achieving measurable impact.

What you will learn in the training

Machine Learning Concepts

Supervised, unsupervised, and reinforcement learning – clearly explained and applied in practice

AI Use Cases

Identify, evaluate, and prioritize suitable use cases based on business value

MLOps Frameworks

Structured workflows for the entire ML lifecycle – from development to production

AI Implementation

Modeling and training ML models using Python, TensorFlow, and PyTorch

AI Deployment

Deploy AI models in cloud environments with realistic hands-on exercises

After the course, participants will be able to:

Confidently apply common machine learning methods
Design, train, and evaluate ML models
Build and operate scalable workflows with MLOps
Identify and technically implement concrete use cases
Integrate AI models into real systems and deploy them in production

Our experts for Trustworthy AI training

Dr. Thiemo Scherle

Head of Product

Alexander Machado

Head of TrustworthyAI (COE)

appliedAI has helped Nokia Standards in the ambitious endeavor to upskill each and every team member to be a good AI Citizen. Together with appliedAI we have jointly tailored an AI literate curriculum exactly addressing the needs in our organization.

Prof. Dr.-Ing. Ingo Viering, Department Head RAN Architecture, Senior Research Manager Nokia Standards

Get in touch

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