Artificial Intelligence
& Machine Learning
Trainingsprogramme
Erschließen Sie den Wert von Daten und transformieren Geschäftsmodelle, Branchen und Arbeitserfahrungen.
Als autorisierter Trainingspartner von AWS, Cisco, Google und Microsoft bieten wir die offiziellen Schulungsprogramme der Hersteller für Data Science, künstliche Intelligenz (KI) und maschinelles Lernen (ML) an.
Unternehmensschulungen
AI E-Learning
Scaled Agile AI-Native Training
Die KI-Kompetenzlücke überwinden. Souveränität aufbauen. Wirkung entfalten.
Jetzt Termine entdecken!
Artificial Intelligence & Machine Learning Training
Haben Sie Fragen zu unseren Trainingsangeboten? Teilen Sie uns Ihre Anforderungen einfach über unser Kontaktformular mit, oder rufen Sie uns an: +49 40 253346-10. Wir beraten Sie gerne!
Next-Generation AI Training
KI & Agile
- AI Fundamentals for Leadership (AIFL)
- AI Innovation Power Workshop (AIIBC)
- KI im agilen Umfeld: Praktische Anwendung für Product Owner und Scrum Master (KIAU)
- KI-Strategien für Thought Leader: KPIs und User Stories erfolgreich nutzen (KISTL)
- Agilitätsanalyse mit KI-Integration – Ready für die Zukunft? (AAKI)
Retrieval-Augmented Generation (RAG)
Microsoft AI, Copilot, Power BI & Data Analytics Training
- Microsoft Azure AI Fundamentals (AI-900T00)
- Develop AI solutions in Azure (AI-102T00)
- Microsoft AI for business leaders (AI-3017)
- Design a dream destination with AI (AI-3024)
- Work smarter with AI (AI-3025)
- Develop AI agents on Azure (AI-3026)
- Microsoft Azure Data Fundamentals (DP-900T00)
- Designing and Implementing a Data Science Solution on Azure (DP-100T01)
- Data Engineering on Microsoft Azure (DP-203T00)
- Implement scalable database solutions using Azure SQL (DP-300T00)
- Implement a Data Analytics Solution with Azure Databricks (DP-3011)
- Implementing a Data Analytics Solution with Azure Synapse Analytics (DP-3012)
- Build machine learning solutions using Azure Databricks (DP-3014)
- Getting Started with Cosmos DB NoSQL Development (DP-3015)
- NEU Implement a data engineering solution with Azure Databricks (DP-3027)
- NEU Implement Generative AI engineering with Azure Databricks (DP-3028)
- NEU Work smarter with Copilot in Microsoft Fabric (DP-3029)
- Microsoft Fabric Analytics Engineer (DP-600T00)
- Implement a Lakehouse with Microsoft Fabric (DP-601T00)
- Prepare and visualize data with Microsoft Power BI (DP-605T00)
- Microsoft Fabric Data Engineer (DP-700T00)
- Query and modify data with Transact-SQL (DP-080T00)
- Empower your workforce with Microsoft 365 Copilot Use Cases (MS-4004)
- Microsoft 365 Copilot User Enablement Specialist (MS-4007)
- Microsoft 365 Copilot Interactive Experience for Executives (MS-4008)
- Extend Microsoft 365 Copilot with declarative agents by using Visual Studio Code (MS-4010)
- Microsoft 365 Copilot Chat Interactive Experience for Executives (MS-4012)
- Build a foundation to build AI agents and extend Microsoft 365 Copilot (MS-4014)
- Manage and extend Microsoft 365 Copilot (MS-4017)
- Draft, analyze, and present with Microsoft 365 Copilot (MS-4018)
- Transform your everyday business processes with agents (MS-4019)
- Copilot Immersion Experience (MS-4021)
- Extend Microsoft 365 Copilot in Copilot Studio (MS-4022)
- Explore Microsoft 365 Copilot Chat (MS-4023)
- Design and Manage Analytics Solutions Using Power BI (PL-300T00)
- Create agents in Microsoft Copilot Studio (PL-7008)
- Master Class: Microsoft Copilot für Entscheider (MCDM)
- Master Class: Microsoft Fabric für Entscheider (MFDM)
- Master Class: Microsoft Fabric, OneLake and Power BI (MFOPBI)
- Develop Low- and Pro-Code Agents and Copilots for Microsoft 365 (M365-PILOT)
- Implementing Agents and Copilots using Semantic Kernel and Azure AI Foundry Agent Service (AZAGENTS)
- Microsoft 365 integrierter Copilot– KI als Turbo für Ihren Arbeitsalltag (365PILOT)
- IT-Praxis für Einsteiger: Copilot und ChatGPT effizient nutzen - der richtige Prompt zählt! (PW38)
- IT-Praxis: Gestalten Sie Ihren Tag mit Copilot für Microsoft 365 (PW44)
NVIDIA Training
Deep Learning
- Applications of AI for Anomaly Detection (AAAD)
- Data Parallelism: How to Train Deep Learning Models on Multiple GPUs (DPHTDLM)
- Fundamentals of Deep Learning (FDL)
- Building Conversational AI Applications (BCAA)
- Applications of AI for Predictive Maintenance (AAPM)
- Model Parallelism: Building and Deploying Large Neural Networks (MPBDLNN)
- Building Transformer-Based Natural Language Processing Applications (BNLPA)
- Building AI-Based Cybersecurity Pipelines (BABCP)
- Computer Vision for Industrial Inspection (CVII)
appliedAI Training
AI CERTs Training
AI+ Professional
- AI+ Executive (AIE)
- AI+ Everyone (AIEV)
- AI+ UX Designer (AIUXD)
- AI+ Finance (AIF)
- AI+ Prompt Engineer Level 1 (AIPE)
- AI+ Customer Service (AICS)
- AI+ Design (AID)
- AI+ Ethics (AIET)
- AI+ Marketing (AIM)
- AI+ Writer (AIW)
- AI+ Legal (AIL)
- AI+ Project Manager (AIPM)
- AI+ Learning & Development (AILD)
- AI+ Human Resources (AIHR)
- AI+ Educator (AIED)
- AI+ Sales (AIS)
- AI+ Product Manager (AIPRM)
- AI+ Healthcare (AIHC)
AI-Native Training
AWS Data & AI Training
- AWS Discovery Day: Introduction to Generative AI for Business and Technical Decision Makers (AWSDD-GAIETBDM)
- Generative AI Essentials on AWS (GAIE)
- NEU Exam Prep: AWS Certified AI Practitioner (EPCAIP)
- Generative AI for Executives (GENAIEX)
- Developing Generative AI Applications on AWS (DGAIA)
- Machine Learning Engineering on AWS (MLEA)
- NEU Exam Prep: AWS Certified Machine Learning Engineer – Associate (EPCMLEA)
- MLOps Engineering on AWS (MLOE)
- Practical Data Science with Amazon SageMaker (PDSASM)
- Amazon SageMaker Studio für Datenwissenschaftler (ASSDS)
CertNexus
Webinar ansehen: AI Is Changing Your Business, Is Your Business Ready?
Google Cloud Data & AI Training
AI & Data Science
- Introduction to AI and Machine Learning on Google Cloud (AIMLGC)
- Machine Learning on Google Cloud (MLGC)
- Advanced Machine Learning with TensorFlow on Google Cloud Platform (MLTF)
- Data Warehousing with BigQuery: Storage Design, Query Optimization, and Administration (DWBQ-SDQA)
- Vertex Forecasting and Time Series in Practice (VFTSP)
- Introduction to Responsible AI in Practice (IRAP)
- Industry Use Cases for Generative AI (IUCGAI)
- Writing Effective Prompts for Generative AI (WEPGAI)
- Introduction to Generative AI for Decision Makers (GAIDM)
- Introduction to Developer Efficiency with Gemini on Google Cloud (IDEGC)
- Application Development with LLMs on Google Cloud (ADLGC)
- Vertex AI Agent Builder (VAISC)
- Vertex AI for Machine Learning Practitioners (VAIMLP)
- Empower Decision Makers with Generative AI (EDMGA)
- Data Warehousing for Partners (DWP)
- Generative AI in Production (GAIP)
- Gemini for Google Workspace (GGW)
- NEU Deploy Multi-Agent Systems with Agent Development Kit and Agent Engine (DMASADKAE)
- Vertex AI and Generative AI Security (VAIGAS)
- Generative AI Leader (GAIL)
- Preparing for Professional Machine Learning Engineer (GCPMLE)
- NEU Develop Conversational Agents on Google Cloud (DCAGC)
- NEU Google AI Integration for Legal (GAIIL)
Machine Learning Security Training
KI-Ausbildung
- Ausbildung zum Deep Learning Engineer (DDE)
- Ausbildung zum KI Manager (KIM)
- Ausbildung zum Web 3.0 und Metaverse Expert (W3ME)
- Ausbildung zum Data Scientist (DSBZPI)
- Künstliche Intelligenz (KI) Foundation (KIF)
- Künstliche Intelligenz (KI) Practitioner (KIP)
- ISO/IEC 42001 Foundation (ISO42001F)
- ISO/IEC 42001 Lead Auditor (ISO42001LA)
- ISO/IEC 42001 Lead Implementer (ISO42001LI)
Was ist KI und warum sollten Sie sich für das KI-Training von Fast Lane entscheiden?
Die Zukunft wartet nicht – sie fordert. Künstliche Intelligenz (KI) hat jede Branche im Sturm erobert und verändert die Art und Weise, wie Entscheidungen getroffen werden, und definiert den Erfolg neu.
Fast Lane ist der Weg für Fachleute, die sich weigern, zurückgelassen zu werden. Unser KI-Training stattet Sie nicht nur mit Fähigkeiten aus, sondern verändert auch Ihre Denkweise und Problemlösung. Indem wir Komplexität in Klarheit umwandeln, befähigen wir Sie, das Potenzial von KI zu beherrschen und seine Macht zu nutzen, um in Ihrem Bereich führend zu sein. Hier beginnt die Innovation, und hier entstehen Führungspersönlichkeiten.