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Technical Deep Dives

Understand the science

Go deep into the technical foundations of modern AI systems. Understand how LLMs work, master embeddings and vector systems, and learn to build production-grade AI.

Ages 16+3 levels, 16 lessons4,750 XP
1

Level 1: How LLMs Work

Understand the architecture and mechanics behind large language models.

6 lessons1,700 XP
1

Tokens, Not Words

Understand tokenization and why AI doesn't see language the way humans do.

TokenizationNLP fundamentals
50 min250 XP
2

The Transformer Architecture

Explore the attention mechanism and transformer architecture that powers modern AI.

Transformer architectureAttention mechanism
55 min300 XP
3

Training: The Big Picture

How models are trained on massive datasets: pre-training, fine-tuning, and RLHF.

Model trainingPre-training
55 min280 XP
4

Context Windows & Memory

Understand how context windows work and strategies for managing AI memory.

Context windowsMemory management
50 min270 XP
5

Model Comparison Lab

Compare and benchmark different LLMs across tasks, quality, speed, and cost.

Model comparisonBenchmarking
55 min300 XP
6

AI-Powered Code Generation

Learn how to use AI to generate, review, and iterate on code, from simple functions to full UI components.

Code generationAI-assisted developmentPrompt engineering for code
55 min300 XP

Level 2: Embeddings & Vector Systems

Complete Level 1

Master vector representations, similarity search, and build production RAG pipelines.

5 lessons1,450 XP
1

What Are Embeddings?

Understand how AI converts meaning into numbers and why that changes everything.

EmbeddingsVector spaces
50 min260 XP
2

Similarity Search

Build similarity search systems that find related content using embeddings.

Similarity searchDistance metrics
55 min280 XP
3

Vector Databases

Work with vector databases to store and query embeddings at scale.

Vector databasesData infrastructure
55 min300 XP
4

Building a RAG Pipeline

Build a complete retrieval-augmented generation pipeline from scratch.

RAG systemsPipeline engineering
60 min320 XP
5

Embedding Quality & Evaluation

Evaluate and improve embedding quality for production applications.

Embedding evaluationQuality metrics
55 min290 XP

Level 3: Evaluation & Production

Complete Level 2

Build production-grade AI systems with proper evaluation, safety, and monitoring.

5 lessons1,600 XP
1

LLM Evaluation Frameworks

Build comprehensive evaluation frameworks to measure LLM quality and reliability.

LLM evaluationTesting frameworks
55 min300 XP
2

Cost Optimization Deep Dive

Master techniques for reducing AI system costs without sacrificing quality.

Cost optimizationToken management
55 min280 XP
3

Guardrails & Safety Systems

Implement robust safety guardrails for production AI systems.

AI safetyGuardrails
60 min320 XP
4

Monitoring & Observability

Build monitoring and observability systems for production AI applications.

MonitoringObservability
55 min300 XP
5

Technical Capstone: Production System

Build and deploy a production-ready AI system with evaluation, safety, and monitoring.

Production engineeringSystem design
65 min400 XP