Overview
Enroll in the Foundations of AI and Machine Learning course on Coursera, designed to offer a deep dive into the essential components of AI & ML infrastructure. This comprehensive program covers key aspects such as data pipelines, model development frameworks, and deployment platforms, emphasizing robust and scalable design.
Course Outcomes:
- Understand and critically discuss the core components of AI & ML infrastructure and their interconnections.
- Develop and evaluate efficient data pipelines for AI & ML workflows.
- Assess model development frameworks across various AI & ML applications.
- Prepare AI & ML models ready for deployment in production settings.
Prerequisites: Intermediate Python programming skills and basic knowledge of AI and ML, including generative AI (GenAI) and pretrained large language models (LLMs). Familiarity with statistics is also beneficial.
Offered by: Coursera
Categories: Artificial Intelligence Courses, Python Courses, Machine Learning Courses, Generative AI Courses, Data Management Courses, Model Deployment Courses, Data Pipelines Courses
