MLOps Engineering (Devops of Machine Learning)
- You’ll be equipped to help organizations deploy ML products reliably and efficiently—making you highly valuable to any data-driven team.
0m
44
0
NLP Engineering
- You’ll be able to build NLP-powered tools and gain familiarity with the models powering modern conversational and text-based AI
0m
44
0
Computer Vision Engineering
- You’ll gain the skills to build practical computer vision systems and apply for roles in industries like healthcare, mobility, and security.
0m
44
0
Machine Learning Engineering
- You’ll be equipped to take ML models from development to deployment and contribute to engineering teams or personal projects.
0m
122
0
Data Science
- You’ll be able to analyze datasets, uncover trends, and communicate insights effectively to stakeholders or employers.
0m
94
0
Intro to Machine Learning
- You’ll walk away with your first ML project, a clear understanding of ML workflows, and confidence to pursue a specialization.
10h
42
3
Math for Machine Learning
- You’ll gain the ability to reason through and analyze ML models from a mathematical perspective.
10h
0
3
Python Programming
- You’ll become comfortable writing and running Python code and be ready to work with real-world data and ML tools.
9h 20m
0
3