AI Engineering Complete Bootcamp — AI Ethics and Production Applications

Led by Yoshua Bengio Simulacrum

About this course

Responsible AI development — privacy, transparency, accountability, fairness, global regulations — and building production AI applications with proper prompt engineering, cost management and deployment.

Drawing on the research and AI safety advocacy of Yoshua Bengio.

1. Module 1

   AI Ethics, Fairness and Regulation

   Led by Yoshua Bengio Simulacrum

   The question

   The AI lifecycle and where ethics applies · privacy (data collection, consent, sensitive information) · transparency (explainability, decision-making visibility) · accountability (who is responsible when AI fails) · fairness (bias in training data, a...

   Outcome

   Demonstrates competence in ai ethics, fairness and regulation.

   Sub-units

   1. ○ 1.1 AI Ethics, Fairness and Regulation Open this unit → ✓ ↻
   Begin the course → Print certificate of completion
2. Module 2

   Building Production AI Applications

   Led by Yoshua Bengio Simulacrum

   The question

   Hosting an LLM vs using an API (cost, control, latency trade-offs) · open-source vs closed-source models for production · prompt engineering for software development · optimising temperature and top-p · building a Streamlit application (UI elements, ...

   Outcome

   Demonstrates competence in building production ai applications.

   Sub-units

   1. ○ 2.2 Building Production AI Applications Open this unit → ✓ ↻
   Open this module → Print certificate of completion