Machine Learning Training
Machine learning is the technology behind artificial intelligence, search engines, recommendation systems and autonomous applications. From classical algorithms and deep learning to generative AI and Large Language Models, machine learning is the field experiencing the fastest development in the entire IT sector. OEM offers an extensive range of machine learning training courses for developers, data scientists and IT professionals who want to work with AI technology.
Every training is delivered by a certified ICT trainer and provides 365 days of online access.
What will you learn in a machine learning training?
In a machine learning training you learn the mathematical and algorithmic foundations of machine learning, how to train, validate and deploy models in production environments, and how to work with the most widely used ML frameworks such as TensorFlow, Scikit-learn and PyTorch. Advanced training courses cover deep learning, natural language processing, generative AI and MLOps for managing ML pipelines in production.
Machine learning connects closely with Python as a programming language and with cloud platforms such as Microsoft Azure (AI-102), AWS and Google Cloud for scaling AI solutions. Also check out our Python training courses and Microsoft Azure training courses for a complete AI learning path.
Who are these machine learning training courses for?
OEM's machine learning training courses are suitable for developers who want to get started with AI and machine learning, data scientists who want to deepen their ML knowledge, IT professionals who want to build AI applications on cloud platforms, and engineers who want to set up and manage MLOps pipelines.
Not sure which training suits you best? Our AI assistant Sanne is ready to help at www.officeelearningmenu.nl. You can also request a free quote via our quote page.
Our Machine Learning training offer
Foundation and introduction
- Exploring Artificial Intelligence Training — Introduction to artificial intelligence. Core concepts, applications and the impact of AI on modern organisations.
- Exploring Machine Learning Training — Introduction to machine learning. Supervised, unsupervised and reinforcement learning in practice.
- Linear Regression Models Training — Linear regression models in machine learning. The foundation of predictive models and statistical analysis.
Algorithms and models
- Machine and Deep Learning Algorithms Training — Machine learning and deep learning algorithms in practice. Neural networks, decision trees and ensemble methods.
- Research Topics ML & DL + Bayesian Methods Training — Advanced research topics in ML and deep learning. Bayesian methods and probabilistic models.
- Machine Learning Masterclass Training — The complete machine learning learning path in one comprehensive masterclass. From basics to production deployment.
Python and frameworks
- Developing AI and Machine Learning Solutions with Python Training — Build AI and ML solutions with Python. Scikit-learn, TensorFlow and practical ML projects.
- AI Development with TensorFlow Training — Build deep learning models with TensorFlow. Neural networks, training and deployment in production.
- Developing AI and Machine Learning Solutions with Java Training — Build AI and ML solutions with Java. Deeplearning4j and Java-based ML frameworks.
Generative AI and LLMs
- Generative AI Introduction and Overview Training — Introduction to generative AI. How do LLMs, diffusion models and multimodal AI systems work?
- Generative AI Cloud Odyssey Training — Generative AI in the cloud. Azure OpenAI, AWS Bedrock and Google Vertex AI for enterprise AI applications.
- Practical ChatGPT Training — Using ChatGPT effectively in practice. Prompt engineering, API integrations and business applications.
- Natural Language Processing (NLP) Training — Text processing techniques with NLP. Sentiment analysis, text classification and language models.
- Natural Language Processing and LLMs Training — NLP with Large Language Models. Fine-tuning, RAG and applications of modern language models.
- Image Generation with AI Training — Image generation with AI. Diffusion models, Midjourney, DALL-E and business applications of AI image generation.
Prompt Engineering
- Prompt Engineering for Statistics and Machine Learning Training — Using prompt engineering for statistical analyses and machine learning tasks. AI as a productivity tool for data scientists.
No-Code / Low-Code ML
- Machine Learning with No-Code/Low-Code Training — Machine learning without programming. Azure ML Studio, Power Platform AI and other no-code ML tools.
MLOps and production
- MLOps — Machine Learning Operations Training — Managing ML models in production. CI/CD for ML, model monitoring and automated training pipelines.
Microsoft Azure AI
- AI-102 Microsoft Azure AI Engineer Associate Training — Preparation for the AI-102 exam. Azure AI Services, Azure Machine Learning and responsible AI implementation.
Why follow a machine learning training at OEM?
OEM is an ICT training centre with more than 3,500 satisfied clients and an average review score of 9.1 on Springest. Our machine learning training courses are delivered by certified ICT trainers with proven practical experience in AI and data science.
All e-learning courses are immediately available after ordering. Order before 17:00 and you start today. You will receive your login details by email and have immediate access to the learning platform.
Also check out our related training courses for Microsoft Copilot, Data and Analysis and Microsoft Azure for a complete AI and data learning path.
Do you have questions or would you like to put together a customised learning path? Our AI assistant Sanne is available 24/7 at www.officeelearningmenu.nl. Or contact us via our contact page.
