AI Knowledge Assessments
Validate your skills in Agentic AI development, LLM engineering, and production workflows. Get scored, identify gaps, and receive personalised study recommendations.
Choose from Agentic AI, LLM Engineering, RAG Systems, Fine-Tuning, or AI Safety. Each assessment is designed by domain experts.
Answer multiple-choice questions. No time pressure — take your time to reason through each question carefully.
Receive an immediate score, topic-by-topic breakdown, and per-question explanations so you know exactly what to study next.
VALIDATE YOUR UNDERSTANDING OF AGENTIC AI
Test your understanding of the fundamental differences between deterministic workflows and autonomous AI agents, including use case selection frameworks and essential tools for building agentic systems.
Check your understanding of LLM basics, prompt templates, system prompts, zero-shot vs few-shot learning, and chain-of-thought reasoning techniques that power modern AI systems.
Validate your knowledge of LLM structured output parsing, JSON schemas, function chaining patterns, and tool selection strategies for building reliable agentic pipelines.
Test your understanding of managing and persisting conversational memory in AI assistants — buffer memory, summary memory, vector store memory, and context window optimisation.
TEST YOUR KNOWLEDGE OF LLM ENGINEERING
Find out if you're ready for hands-on LLM fine-tuning and deployment. Get a detailed score across key knowledge areas plus personalised study recommendations to close your gaps.
Test your understanding of language model architectures — transformers, attention mechanisms, tokenisation, fine-tuning approaches, and model evaluation methodologies used at leading AI labs.
Test your knowledge of masking, tokenization, quantization, LoRA, QLoRA, and parameter-efficient fine-tuning techniques. Designed for engineers ready to work with production-grade LLM training pipelines.
Assess your knowledge of embedding models, chunking strategies, vector databases, reranking algorithms, and advanced RAG architectures for production retrieval-augmented generation systems.
ADVANCED TOPICS FOR EXPERIENCED PRACTITIONERS
Test your knowledge of AI alignment research, RLHF, Constitutional AI, red-teaming methodologies, and safety evaluation frameworks used at frontier AI labs.
Validate your understanding of multi-agent orchestration, communication protocols, consensus mechanisms, and coordination strategies for complex agentic workflows.
Computer Vision, Reinforcement Learning, MLOps, AI Safety, and Multimodal AI assessments are in development. Join free to get notified when they launch.
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