intermediateFree
Quality and Safety for LLM Applications
by Bernease Herman · DeepLearning.AI
4.5(3,800 reviews)
60K+ enrolled1 hourUpdated 2024-07
What You'll Learn
Understand the fundamentals and key concepts of LLMs
Apply LLMs techniques to solve real-world problems
Understand the fundamentals and key concepts of AI safety
Apply AI safety techniques to solve real-world problems
Understand the fundamentals and key concepts of responsible AI
Apply responsible AI techniques to solve real-world problems
About This Course
Learn to evaluate LLM outputs for hallucinations, toxicity, and bias, and build guardrails for production LLM apps.
Curriculum
Module 1: LLMs & AI safety6 lessons
- Introduction to LLMs
- LLMs in Practice
- Hands-on Exercise: LLMs
- Introduction to AI safety
- AI safety in Practice
- Hands-on Exercise: AI safety
Module 2: Responsible AI & Evaluation6 lessons
- Introduction to responsible AI
- Responsible AI in Practice
- Hands-on Exercise: Responsible AI
- Introduction to evaluation
- Evaluation in Practice
- Hands-on Exercise: Evaluation
Module 3: Guardrails3 lessons
- Introduction to guardrails
- Guardrails in Practice
- Hands-on Exercise: Guardrails
Instructor
Bernease Herman
Instructor at DeepLearning.AI
Pros & Cons
Pros
- Completely free to access
- High-quality video lectures
- Taught by Bernease Herman
- Well-structured curriculum
Cons
- No certificate provided
- Self-paced requires discipline
Free
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