Machine Learning Training
Harness the power of AI and Machine Learning (ML) to transform your business. Web Age's Machine Learning courses teach attendees how ML algorithms, trained on data, can automate tasks, predict outcomes, and generate valuable insights. Master Python, Neural Networks (NN), Natural Language Processing (NLP), and more to efficiently build and deploy secure ML models. Web Age's customizable ML training programs give your team the skills to thrive in AI and ML.
Protect your Machine Learning (ML) applications. This ML Security training course teaches developers the specialized secure coding skills needed to protect their ML applications from attacks. Attendees learn how to identify and address potential security vulnerabilities in their applications and how to avoid the security pitfalls of the Python programming language.
This Machine Learning (ML) course introduces natural language processing (NLP) and teaches attendees Python Programming basics. Students learn how to use Python to import and manipulate data, perform exploratory data analysis, build machine learning models, and evaluate their performance. The training also covers H2O, a powerful ML platform.
This Machine Learning (ML) training course teaches attendees the concepts, terminology, and practice of ML using neural networks. Students learn the architecture of artificial neural networks, activation functions, and more.
This intensive Python for Machine Learning (ML) training course teaches attendees ML concepts, including supervised and unsupervised learning, regression, classification, and clustering. Students learn how to implement ML algorithms in Python, a popular programming language for machine learning.
This Natural Language Processing (NLP) training course teaches students the applications and techniques for developing NLP models, including large language models (LLMs). Attendees learn how to build and evaluate NLP models for tasks such as text generation, text classification, image synthesis, and image classification in use cases in insurance, finance, and other sectors.
