AI Engineering Middle level

Description

Assess your practical AI engineering skills at the Middle level. This test covers LLM integration, prompt and context engineering, structured outputs, embeddings, vector search, RAG, AI agents, evaluation, observability, safety, and production reliability. It is designed for developers who build and maintain real-world AI-powered applications

Questions

20

Time to complete

23 min

ai-engineering

Skills

AI Application Architecture
Training vs Inference
Probabilistic Model Behavior
Model Selection and Trade-offs
Tokens and Tokenization
Context Windows
Transformers and Attention
Next-Token Prediction
Pretrained and Fine-Tuned Models
Sampling and Decoding Parameters
Prompt Anatomy and Input Formatting
System Prompts
Zero-Shot and Few-Shot Prompting
Reasoning Prompt Patterns
Structured Output Prompting
Prompt Templates and Versioning
Context Sources and Assembly
Long-Context Processing
Context Compaction
Conversation State and Memory

Personalize skills

Challenge mode

If you take the test with the challenge mode off, the test will not be time-limited. However, you will lose the opportunity to earn points in the competition

Free access to the test according to the competition