| File Name: | Evaluating & Improving Generative & Agentic AI |
| Content Source: | https://www.udemy.com/course/evaluating-improving-generative-agentic-ai |
| Genre / Category: | Other Tutorials |
| File Size : | 1.1 GB |
| Publisher: | Saahil Gupta |
| Updated and Published: | September 3, 2025 |
The AI Literacy Specialization Program is one-of-a-kind hierarchical & cognitive skills based curriculum that teaches artificial intelligence (AI) based on a scientific framework broken down into four levels of cognitive skills.
Part 3: Analyze and Evaluate combines the below two cognitive skills –
- Analyzing (examining model’s outputs to identify biases that may have been learned from the training data)
- Evaluating (assessing the performance, ethics, and overall effectiveness of an AI system)
Whether you’re a policymaker, red teamer, LLM safety auditor, risk manager, AI developer, or a certification aspirant (AIGP, RAI, AAIA), this program gives you what theory alone cannot: applied, practice-ready evaluation and mitigation skills.
The course is structured into four progressive modules: what to evaluate, how to evaluate, how to mitigate, and real-world case studies:
Introduction:
- Why Evaluate AI?
- Who Should Evaluate & When?
What to Evaluate:
- 1.1) Standard Safety Evaluation
- 1.2) Frontier Capabilities & Misuse
- 1.3) Misalignment
- 1.4) Structural & Multi-Agent Risks
How to Evaluate:
- 2.1) Overview
- 2.2) Benchmarks & Datasets
- Benchmark Repository v0.1
- 2.3) Evaluation Metrics
- 2.4) Evaluation Techniques
- 2.5) Red Teaming 101
- Evaluation Toolkit Repository v0.1
How to Mitigate:
- 3.1) How to Mitigate
- Mitigation Techniques Repository v0.1
DOWNLOAD LINK: Evaluating & Improving Generative & Agentic AI
FILEAXA.COM – is our main file storage service. We host all files there. You can join the FILEAXA.COM premium service to access our all files without any limation and fast download speed.
