Launch your career in AI
summary
Clear roadmap for four market roles: data analyst (clean, visualize, translate insights into actions using Excel/Tableau/PowerBI), data scientist (statistical exploration, prototyping models with Python/SQL), machine learning engineer (train, tune and deploy models with PyTorch/TensorFlow, deliver APIs and MLOps), and data engineer (design pipelines, AWS/Azure infrastructure, secure data lakes). Concrete examples: cholera mapping (1860s insight), Napoleon casualty chart, Oman online election deepfake checks, and a road‑safety pipeline already deployed in several countries.
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chapters (9)
- 0:00AI career paths
- 3:18Specialization in AI roles
- 11:14Core data roles in AI
- 27:37Data analyst vs scientist
- 32:22ML vs data engineer roles
- 41:21Data analysis examples
- 50:58ML industry applications
- 1:01:11AI job market needs
- 1:17:11Career transition advice
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