Data Analytics and Machine Learning for Big Data
By External Provider
About this course
This advanced course teaches machine learning and AI techniques for big data systems. Learners will build end-to-end ML pipelines with PySpark ML, implement supervised and unsupervised models, and apply NLP techniques at scale. The course also explores deep learning, distributed training, and integrating Generative AI into big data workflows. By the end of this course, you will be able to: - Implement ML pipelines using PySpark ML - Build supervised, unsupervised, and recommendation models - Apply NLP and text analytics to large datasets -Integrate Generative AI and LLMs with big data systems Tools & Software: PySpark ML, PyTorch, TensorFlow, Azure Machine Learning, Azure OpenAI Service Skills: Machine learning, NLP, Deep learning, Generative AI, Model evaluation
What you will learn
- - Manage big data storage and pipelines with Azure services. - Process and analyze large datasets using Apache Spark and Databricks.