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AI agent evals and reliability : evaluations and observability with Galileo AI.
- Format:
- Video
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Natural language processing (Computer science).
- Physical Description:
- 1 online resource (1 video file (7 hr., 23 min.)) : sound, color.
- Edition:
- [First edition].
- Place of Publication:
- [Birmingham, United Kingdom] : Packt Publishing, 2026.
- Summary:
- Course Description In this 7-hour course, you will learn the essentials of LLM evaluations and observability using Galileo AI. Starting with foundational principles, you will dive into observability techniques and the key components needed to monitor AI systems effectively. What I will be able to do after this course Implement observability techniques in LLMs. Set up and use the Galileo platform for LLM evaluations. Create datasets, apply metrics, and analyze agent performance. Evaluate LLM performance using real-world data and scenarios. Optimize AI system reliability and scalability through practical logging and evaluation. Course Instructor(s) Henry Habib is an advisor to Fortune 500 companies, specializing in AI-driven solutions and automation. He has over 400K students and teaches courses on AI agents, automation, and productivity. He is the founder of The Intelligent Worker platform. Who is it for? This course is designed for AI developers, machine learning engineers, and data scientists at the intermediate level. A basic understanding of AI models and Python programming is recommended.
- Notes:
- OCLC-licensed vendor bibliographic record.
- ISBN:
- 9781807782313
- OCLC:
- 1587304787
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