Share this link via
Or copy link
Overview
"Data Infrastructure and AI/ML" is a foundational course that explores the critical role of data infrastructure in building, scaling, and deploying artificial intelligence (AI) and machine learning (ML) solutions. Designed for both technical and non-technical learners, the course demystifies how modern data architectures support the entire AI/ML lifecycle—from data collection and storage to processing, analysis, and model deployment. Participants will learn about the key components of data infrastructure, including data lakes, warehouses, pipelines, and real-time streaming systems. The course covers how...
Syllabus
1. Data Infrastructure and AI/ML
- Intro
- What a masters in big data entails
- The importance of data engineering
- How to guide people towards the right solutions
- Explaining A/B testing to a six-year-old
- Balancing company culture with experimentation
- What AI/ML lessons Emma learned in college
- What is AI/ML versus deep learning?
- How a degreeed Emma break into data
- Should everyone learn to code?
- BI versus data science
- Lessons for new data scientist candidates
- How to bring more women into data
- Challenges as a content creator in data
- Advice for women looking to get into tech
- What a modern data architecture looks like
- The magical myth of data science
- Is social media a good idea?
- Outro
Instructor
Ben Sullins
Reviews
No reviews yet. Be the first to review!
Alternative Courses
Introduction to AI Programming Welcome to the AI programming with...
Free
You must be logged in to submit a review.