🤖Artificial Intelligence in Artificial Intelligence and Machine Learning Engineering

Engineering · 11 units · free, no membership
1 Artificial Intelligence in ML Engineering: Role, Boundaries, Validation and Responsibility
2 Data Pipeline: Collection, Cleansing, Tagging and Versioning
3 Model Training and Evaluation: Accurate Metrics, Honest Benchmarking
4 LLM Application: Answers Based on Your Own Data with RAG
5 LLM Application: Agents, Tooling and Secure Automation
6 Fine-Tuning Basis: When, How and With What Risk
7 MLOps and Deployment: Moving the Model from Lab to Production
8 Eval and Monitoring: Knowing What the Model Really Does in Production
9 Security and Privacy: Defending AI Systems
10 Bias, Ethics and Cost: Responsible and Sustainable AI Engineering
11 Reproducibility and the End-to-End Project: Combining Everything
All trainings Start from unit 1