NVIDIA Generative AI LLMs Certification Masterclass with 10 Practice Tests
Ready to break into one of the fastest-growing fields in tech? This bundle gets you certified—fast.
Whether you are starting your AI engineering journey or expanding your existing skills, MammothClub offers a practical catalog of courses, paths, and focused learning opportunities.
Ready to break into one of the fastest-growing fields in tech? This bundle gets you certified—fast.
Test your knowledge (with 45+ questions and unlimited attempts!) on Application Development: Select the best LLM based on the attributes of the application to be developed, select embedding model context length based on documents, queries and optimization, select a model from hub or marketplace for a task based on metadata or cards, select the best model for a given task based on common metrics generated in experiments, create a prompt that adjusts an LLM's response from a baseline to a desired output, utilize Agent Framework for developing agentic systems.
What if you didn’t have to rebuild everything—just migrate what matters? This beginner-friendly bundle shows you how.
What if you could stop guessing what Databricks does—and start using it to unlock real business value? This bundle shows you how.
What if you could migrate to microservices—without losing data integrity, team velocity, or your mind? This advanced bundle shows you how.
Test your knowledge on designing applications with 45+ practice questions and unlimited attempts!
Test your knowledge (with 45+ questions and unlimited attempts!) on data preparation: apply a chunking strategy for a given document structure and model constraints, filter extraneous content in source documents that degrades quality of a RAG application, choose the appropriate Python package to extract document content from provided source data and format, define operations and sequence to write given chunked text into Delta Lake tables in Unity Catalog.
Test your knowledge (with 45+ questions and unlimited attempts!) on Application Development: Augment a prompt with additional context from input based on key fields, terms, and intents, create a prompt that adjusts an LLM's response from a baseline to a desired output, implement LLM guardrails to prevent negative outcomes, write metaprompts that minimize hallucinations or leaking private data, build agent prompt templates exposing available functions.