Master AI Testing: Ethical LLM & Chatbot Evaluation Pro
Focused View
5:06:39
1 - Introduction.mp4
04:27
2 - About your instructor.mp4
02:00
3 - A word of introduction on Generative AI.mp4
01:59
4 - History of AI.mp4
07:17
5 - What you will learn in this material.mp4
02:04
6 - Install VS Code.mp4
02:41
7 - Install NodeJS and NPM.mp4
02:47
8 - Install Python.mp4
02:18
9 - Install Python Dependencies PIP.mp4
02:08
10 - What makes up AI.mp4
03:47
11 - Where do LLMs fit into AI.mp4
01:50
12 - Introduction to Natural Language Processing.mp4
04:57
13 - Introduction to Machine Learning ML.mp4
04:08
14 - Machine Learning Supervised ML.mp4
04:01
15 - Machine Learning Unsupervised ML.mp4
05:03
16 - Machine Learning Reinforced ML.mp4
03:21
17 - Neural Networks and Deep Learning.mp4
05:26
18 - Importance of Training Data.mp4
04:09
19 - What actually is GEN AI.mp4
02:42
20 - Types of Testing in Software.mp4
02:56
21 - Testing Types for LLMs Foundation Models.mp4
03:38
22 - What is a token in LLMs.mp4
02:38
23 - Chat GPTAPI Create Subscription.mp4
01:33
24 - Get an OPENAI API Key.mp4
01:01
25 - Installing Postman and first API Test.mp4
04:42
26 - API Collections and making Results Deterministic.mp4
05:16
27 - Installing Newman and Running with the CLI.mp4
05:18
28 - Demo GitHub Adding Tests in ML OPS Pipeline.mp4
08:53
29 - Perspective Service Bias Detection Service.mp4
04:48
30 - Get a Perspective API Key.mp4
06:26
31 - Demo VS Code Call Perspective API.mp4
03:25
32 - Demo Python Test AI Response against Perspective APIs.mp4
05:06
33 - Adversial attacks for LLMS and Red Team.mp4
05:54
34 - Prompt Injection Attack.mp4
18:57
35 - FUZZ Testing.mp4
11:02
36 - Denial of Service Attacks.mp4
12:50
37 - Adversial Attack Examples.mp4
06:22
38 - Poisoning attack.mp4
08:34
39 - Privacy Leakage Testing.mp4
10:26
40 - Evasion Attacks.mp4
10:24
41 - What is non functional Testing for LLMs.mp4
07:05
42 - Disclaimer on Non Functional Testing.mp4
01:53
43 - Non functional Testing AI Models LLMs Ethical Alignment.mp4
09:23
44 - Non functional Testing AI Models LLMs Explainability.mp4
10:00
45 - Non functional Testing AI Models LLMs User Interaction Robustness.mp4
10:15
46 - Non functional Testing AI Models LLMs Context Preservation.mp4
08:58
47 - Non functional Testing AI Models LLMs Creativity and Novelty.mp4
05:14
48 - Asimovs 3 Laws of Robots.mp4
04:05
49 - DEMO Why we need ethical and responsible AI Systems.mp4
04:53
50 - AI and Biases.mp4
05:07
51 - GEN AI and Privacy.mp4
04:09
52 - GEN AI and Intellectual Property.mp4
04:18
53 - Gen AI and Deep Fake.mp4
06:33
54 - Hallucinations.mp4
04:33
55 - OPENAICHAT GPT Moderation Service.mp4
05:42
56 - Google Moderation Service.mp4
04:20
57 - Spot a Fake Demo Chat GPT Watermark on Dall E.mp4
02:57
More details
Course Overview
Learn cutting-edge techniques to test and evaluate LLMs, chatbots, and AI systems for reliability, ethics, and human-like performance. This comprehensive course covers automated testing frameworks, adversarial security, and ethical considerations in AI development.
What You'll Learn
- Essential AI testing methodologies compared to traditional software
- Automated testing with Postman, ChatGPT, and PerspectiveAPI
- Adversarial testing techniques including prompt injection and FUZZ testing
Who This Is For
- Software testers and quality engineers
- Prompt engineers and product managers
- Engineering directors overseeing AI projects
Key Benefits
- Master the hottest skill in AI quality assurance
- Build frameworks for bias, toxicity, and hate speech detection
- Gain hands-on experience with real-world testing demos
Curriculum Highlights
- AI fundamentals and LLM testing basics
- Automated testing frameworks with Postman
- Toxicity testing and adversarial security
Focused display
Category
- language english
- Training sessions 57
- duration 5:06:39
- Release Date 2025/05/25
