Collection

Bayerischer KI-Innovationsbeschleuniger

appliedAI Institute for Europe gGmbH

1060 abonnés

Trainings, Webinare und Events im Rahmen des Bayerischen KI-Innovationsbeschleunigers (Bavarian AI Act Accelerator) | Bayerisches Staatsministerium für Digitales.

Les événements de cette collection

KI-Kompetenzen aufbauen: Der Weg zur Agent-Native-Organisation, 04.11.26
Today at 10:00 AM GMT+1
Gratuit
AI Act für Einsteiger: Was, wie und warum wird reguliert? 09.11.26
Monday at 10:00 AM GMT+1
Gratuit
KI-Systeme einstufen: Risikoklassen, Rollen, Pflichten, 10.11.26
Tue, Nov 10, 10:00 AM GMT+1
Gratuit
Comparing Notes on Trustworthy AI, 10.11.
Tue, Nov 10, 5:30 PM
Gratuit
AI Act umsetzen: Ihr Weg Richtung Konformität, 11.11.26
Wed, Nov 11, 10:00 AM GMT+1
Gratuit
Der AI Act für generative und agentische KI, 20.11.26
Fri, Nov 20, 10:00 AM GMT+1
Gratuit
KI-Normen einsetzen: Fristen, Methoden & Nachweise, 23.11.26
Mon, Nov 23, 10:00 AM GMT+1
Gratuit
AI Act Engineering: Von Anforderungen zum Code, 24.11.26
Tue, Nov 24, 10:00 AM GMT+1
Gratuit
Artikel 50 in der Praxis, 25.11.26
Wed, Nov 25, 10:00 AM GMT+1
Gratuit
AI Act und DSGVO im Arbeitsalltag, 30.11.26
Mon, Nov 30, 10:00 AM GMT+1
Gratuit

Partager

appliedAI Institute for Europe gGmbH

Organisateur de Bayerischer KI-Innovationsbeschleuniger

Our mission towards the purpose:We empower people to develop and use trustworthy AI within a strong ecosystem of organizations and individuals.The appliedAI Institute for Europe gGmbH is supported by the IPAI Foundation gGmbH and is a subsidiary of the appliedAI Initiative GmbH.

Collection image for An introduction to Bayesian methods in ML

An introduction to Bayesian methods in ML

No upcoming events

A two-day workshop introducing Bayesian modelling, using practical examples and probabilistic programming.

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appliedAI Studio

No upcoming events

Located in the visitor center of IPAI Spaces Heilbronn, appliedAI Studio empowers professionals to apply trustworthy AI. Through workshops, guided tours, AI demonstrations, and meetups, we bridge the gap between technical and non-technical audiences.

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EU AI Regulation (AI Act)

No upcoming events

Join our expert sessions and learn how to navigate the EU AI law using the Compliance Journey.

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Introduction to Simulation-based Inference

No upcoming events

Embrace the challenges of intractable likelihoods with simulation-based inference. A half-day workshop introducing the concepts theoretically and practically.

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Practical anomaly detection

No upcoming events

An two-day introduction to unsupervised ML techniques for anomaly detection and their strengths and weaknesses in different application areas.

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TfL Training: ChatGPT Power User Training

No upcoming events

At first glance, ChatGPT looks deceptively simple: A chat box where you type a question and get an answer. This training introduces you to the powerful tools that hide behind this simplicity and shows you how to apply them to maximize your productivity.

Collection image for TfL Training: Practical Introduction to Agents

TfL Training: Practical Introduction to Agents

No upcoming events

Join our series of workshops designed for ML practitioners to design and build agentic systems.

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Training: Agentic Engineering

No upcoming events

Learn practical agentic engineering with Claude Code: plan, steer, and verify AI-generated code changes through hands-on exercises covering context management, customization, and reliable coding-agent workflows.

Collection image for TransferLab Training - Methods and issues in XAI

TransferLab Training - Methods and issues in XAI

No upcoming events

Join our series of workshops designed for ML practitioners who aim to make their models better understandable for themselves and decision makers.

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TransferLab Trainings

No upcoming events

The TransferLab offers exciting trainings in Bayesian ML, Safe Reinforcement Learning, Anomaly Detection and much more.

Collection image for Workshop Series: Agentic AppSec

Workshop Series: Agentic AppSec

1 upcoming event

Hands-on workshop series on agentic AppSec: over about 6–8 weeks, build open-source pipelines that find and fix vulnerabilities in code.