About this Course
Design and implement custom evaluation metrics for large language models. Learn to assess output quality, factual accuracy, and alignment. This AI/ML curriculum is designed to give you hands-on experience and deep conceptual understanding.
Across 4 intensive modules, you'll tackle real-world challenges and build practical projects that reinforce your learning. By the end of this journey, you'll have the skills and proof of work to demonstrate your expertise.
What you'll learn
Master the core concepts of fundamentals of llm evaluation.
Gain hands-on experience with evaluating retrieval-augmented generation.
Understand the architecture behind task-specific evaluators.
Implement production-grade scaling and automation.
W1
Fundamentals of LLM Evaluation
Master the core concepts of fundamentals of llm evaluation.
4 videos•188m
3 readings
4 topics
1 homework
W2
Evaluating Retrieval-Augmented Generation
Gain hands-on experience with evaluating retrieval-augmented generation.
4 videos•40m
3 readings
4 topics
1 homework
W3
Task-Specific Evaluators
Understand the architecture behind task-specific evaluators.
4 videos•172m
3 readings
4 topics
1 homework
W4
Scaling and Automation
Implement production-grade scaling and automation.
4 videos•97m
3 readings
4 topics
1 homework
01
Learn
Watch curated videos and read study resources
02
Practice
Practice what you learned
03
Build Projects
Build projects using your new gained knowledge
04
Submit & Verify
Submit your project and get verified by our system
References
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