Hello AI World! - Why Developers Should Care About AI
summary
Survey of concrete, ready-to-use AI tools across tabular data, text, audio, images, video and cyber‑physical systems with hands‑on demos using Azure Cognitive Services, Google and AWS REST APIs and simple Python snippets. Claims: AI could add $13 trillion by 2030 and automate ~600 million jobs while creating ~700 million new ones. Live-like demos show sentiment classification on three short texts returning confidences (97, 100, 100) and face detection returning a JSON bounding box. Advises starting with pre‑trained models, then transfer learning, then custom models; contrasts modular pipelines with end‑to‑end models.
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chapters (18)
- 0:00Introduction
- 2:31Overview
- 4:23What is AI
- 5:15Machine Learning
- 6:10Input Output Mapping
- 9:00Table Data
- 9:38Classification
- 11:32Data Synthesis
- 13:13Text Analysis
- 15:26Text Synthesis
- 17:35Demo
- 20:52Audio
- 23:11Audio Synthesis
- 26:57Image Analysis
- 35:20Video
- 41:16Modular AI
- 46:06CyberPhysical Systems
- 52:21Questions
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