Dive into Learning Explore the rich courses offerings of MammothClub.

Test your knowledge (with 45+ questions and unlimited attempts!) on Assembling and Deploying Apps: Code a chain using a pyfunc model with pre- and post-processing, control access to resources from model serving endpoints, code a simple chain according to requirements, code a simple chain using LangChain, choose RAG app elements: flavor, embedding model, retriever, dependencies, examples, signature, register the model to Unity Catalog using MLflow.

Test your knowledge (with 45+ questions and unlimited attempts!) on Assembling and Deploying Apps: Sequence the steps needed to deploy an endpoint for a basic RAG application, create and query a Vector Search index, identify how to serve an LLM application that leverages Foundation Model APIs, identify resources needed to serve features for a RAG application, explain the key concepts and components of Mosaic AI Vector Search, identify batch inference workloads and apply ai_query() appropriately.

Test your knowledge (with 45+ questions and unlimited attempts!) on governance: Use masking techniques as guardrails to meet a performance objective, select guardrail techniques to protect against malicious user inputs to a Gen AI application, recommend an alternative for problematic text mitigation in a data source feeding a RAG application, use legal and licensing requirements for data sources to avoid legal risk, recommend alternatives for problematic text mitigation in a data source feeding a GenAI application.

Test your knowledge (with 45+ questions and unlimited attempts!) on Evaluation and Monitoring: Select an LLM choice (size and architecture) based on a set of quantitative evaluation metrics, select key metrics to monitor for a specific LLM deployment scenario, evaluate model performance in a RAG application using MLflow, use inference logging to assess deployed RAG application performance, use Databricks features to control LLM costs for RAG applications, use inference tables and Agent Monitoring to track a live LLM endpoint, identify evaluation judges that require ground truth, compare the evaluation and monitoring phases of the Gen AI application life cycle.

Navigating the Basics of Neural Networks with TensorFlow JS for Beginners

Level up your coding skills with this powerful, first-time release bundle—perfect for developers who want to master the core algorithmic foundations behind efficient, real-world software.

Fungible token development with TypeScript smart contracts!