Artificial Intelligence
& Machine Learning
Training Programs
Unlock the value of data, and ultimately transform business models, industries, and work experiences.
As an authorized learning partner of AWS, Cisco, Google, and Microsoft, we offer each vendor's official Data Science, Artificial Intelligence (AI) and Machine Learning (ML) training curriculum.
Company Training
AI E-Learning
We have deep experience delivering enterprise skilling and corporate academies to all industries across all roles. Our portfolio features industry-leading education, programs, and services. We can help you in designing and deploying data driven products adding real value to users and achieving measurable business outcomes.
Artificial Intelligence & Machine Learning Training
Do you have any questions about our training offerings? Simply let us know your requirements using our contact form or call us at +43 1 6000 880-0 and we will be happy to advise you!
Next-Generation AI Training
Next Generation AI in a Day
- Master Class: Microsoft Fabric for Decision Makers (MFDM)
- Master Class: Microsoft Copilot for Decision Makers (MCDM)
- Master Class: OpenAI ChatGPT Capabilities, Use Cases and Integrations (HSOAICGPT)
- Master Class: Github Copilot Introduction (GHCI)
- Master Class: Exploring Generative AI for Decision Makers: in a Day (GAIDM)
Microsoft AI, Copilot, Power BI & Data Analytics Training
AI, Copilot, Power BI & Data Analytics
- Microsoft Azure AI Fundamentals (AI-900T00)
- Designing and Implementing a Microsoft Azure AI Solution (AI-102T00)
- NEW Transform your business with Microsoft AI (AI-3017)
- Copilot Foundations (AI-3018)
- Microsoft Azure Data Fundamentals (DP-900T00)
- Designing and Implementing a Data Science Solution on Azure (DP-100T01)
- Data Engineering on Microsoft Azure (DP-203T00)
- Administering Microsoft Azure SQL Solutions (DP-300T00)
- Implement a Data Analytics Solution with Azure Databricks (DP-3011)
- Implementing a Data Analytics Solution with Azure Synapse Analytics (DP-3012)
- Machine learning with Azure Databricks (DP-3014)
- Getting Started with Cosmos DB NoSQL Development (DP-3015)
- Microsoft Fabric Analytics Engineer (DP-600T00)
- Implementing a Lakehouse with Microsoft Fabric (DP-601T00)
- Develop dynamic reports with Microsoft Power BI (DP-605T00)
- Transact-SQL Querying (DP-080T00)
- Empower your workforce with Copilot for Microsoft 365 Use Cases (MS-4004)
- Craft effective prompts for Microsoft Copilot for Microsoft 365 (MS-4005)
- Microsoft 365 Copilot User Enablement Specialist (MS-4007)
- Copilot for Microsoft 365 Interactive Experience for Executives (MS-4008)
- NEW Extend Microsoft 365 Copilot with Copilot Studio actions and connectors (MS-4009)
- Build connectors and plugins for Microsoft Copilot for Microsoft 365 (MS-4010)
- NEW Microsoft Copilot Web Based Interactive Experience for Executives (MS-4012)
- NEW Manage and extend Microsoft 365 Copilot (MS-4017)
- Microsoft Power BI Data Analyst (PL-300T00)
- NEW Create and extend custom copilots in Microsoft Copilot Studio (PL-7008)
- Master Class: Microsoft Copilot for Decision Makers (MCDM)
- Master Class: Microsoft Fabric for Decision Makers (MFDM)
- Master Class: Github Copilot Introduction (GHCI)
- Master Class: Microsoft Fabric, OneLake and Power BI (MFOPBI)
- Developing Agents and Copilots for Microsoft 365 & Microsoft Teams (M365-PILOT)
- NEW Implementing AI Agents and Copilots using Azure OpenAI (IAIACOIA)
- 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)
AI for Business
Foundation
- AI Introduction for Business (MS-AIB)
- AI Ethics & Governance (MS-AIEG)
- Master Class: Microsoft Fabric for Decision Makers (MFDM)
- Master Class: Microsoft Copilot for Decision Makers (MCDM)
- Master Class: OpenAI ChatGPT Capabilities, Use Cases and Integrations (HSOAICGPT)
- Master Class: Github Copilot Introduction (GHCI)
Approaching
Aspirational
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)
Generative AI and Large Language Models
appliedAI Training
AWS Data & AI Training
- AWS Discovery Day: Introduction to Generative AI for Business and Technical Decision Makers (AWSDD-GAIETBDM)
- AWS Discovery Day: Introduction to Prompt Engineering (AWSDD-IPE)
- Practical Data Science with Amazon SageMaker (PDSASM)
- MLOps Engineering on AWS (MLOE)
- The Machine Learning Pipeline on AWS (ML-PIPE)
- Developing Generative AI Applications on AWS (DGAIA)
- NEW Generative AI for Executives (GENAIEX)
Google Cloud Data & AI Training
AI & Data Science
- Google Cloud Fundamentals: Big Data and Machine Learning (GCF-BDM)
- 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)
- NEW Vertex AI for Machine Learning Practitioners (VAIMLP)
- NEW Empower Decision Makers with Generative AI (EDMGA)
