DeepLearning.AI - Learning Platform

Evaluating and Debugging Generative AI

Learn MLOps tools for managing, versioning, debugging, and experimenting in your ML workflow.

Evaluation and Monitoring Fine-Tuning Generative Models LLMOps MLOps MultiModal Prompt Engineering

Quality and Safety for LLM Applications

Learn how to evaluate the safety and security of your LLM applications and protect against risks. Monitor and enhance security measures to safeguard your apps.

WhyLabs

AI Safety Embeddings Evaluation and Monitoring GenAI Applications Vector Databases

LLMOps

Learn LLMOps best practices as you design and automate steps to fine-tune and deploy an LLM for a specific task.

Google Cloud

AI Safety Chatbots Data Processing Evaluation and Monitoring Fine-Tuning LLMOps

Automated Testing for LLMOps

Learn how to create an automated CI pipeline to evaluate your LLM applications on every change, for faster and safer development.

CircleCI

Evaluation and Monitoring LLMOps MLOps Prompt Engineering

Improving Accuracy of LLM Applications

Systematically improve the accuracy of LLM applications with evaluation, prompting, and memory tuning.

Lamini, Meta

AI Frameworks Agents Evaluation and Monitoring Fine-Tuning Machine Learning Prompt Engineering

Safe and reliable AI via guardrails

Move your LLM-powered applications beyond proof-of-concept and into production with the added control of guardrails.

GuardrailsAI

AI Safety Chatbots Evaluation and Monitoring GenAI Applications LLMOps NLP Prompt Engineering RAG

Building and Evaluating Advanced RAG

Learn advanced RAG retrieval methods like sentence-window and auto-merging that outperform baselines, and evaluate and iterate on your pipeline's performance.

TruEra, LlamaIndex

AI Frameworks Evaluation and Monitoring GenAI Applications LLMOps RAG Search and Retrieval