Practical experience (6+ months) minimum in Python - functions, loops, control flow Data Science basics - NumPy, pandas, scikit-learn Solid understanding of machine learning concepts and algorithms Regression, Classification, Unsupervised learning (clustering, Neural Networks) Strong foundations in probability, statistics, and linear algebra Practical experience with at least one deep learning framework (e.g., TensorFlow or PyTorch) recommended Familiarity with natural language processing (NLP) concepts and techniques, such as text preprocessing, word embeddings, and language models
Predictive AI & Machine Learning
Comprehensive Generative AI Engineering for Data Scientists and ML Engineers
StorSoft delivers the Comprehensive Generative AI Engineering for Data Scientists and ML Engineers course to strengthen team capability across predictive AI & machine learning. It targets practitioners who already work in the area and need deeper, applied depth. Delivery is available in classroom formats, typically over 5 days. Relevant background is recommended before enrollment.
Predictive AI & Machine LearningGenerative AI
Before you enroll
Prerequisites and certification path.
Delivered through StorSoft
Schedule this course for your team.
StorSoft coordinates delivery through its authorized training partners, including Ascendient Learning, and can align scheduling, delivery mode, and cohort size to your program. Course facts are maintained from partner catalogs; confirm current pricing and dates when you submit a request.