AI Fluency
Evidence-based learning from foundational concepts to pioneering research. Build genuine fluency with AI through interactive exercises, AI-powered feedback, and structured progression.
The atomic units of intelligence
Master the underlying mechanics of large language models before progressing through the fluency levels. Understand tokens, context windows, probabilis...
From magic box to inference engine
Develop intuition for AI capabilities through direct interaction with web-based interfaces. Transition from viewing AI as a magic box to understanding...
Precise instructional design for AI
Move from casual conversation to precise instructional design. Master advanced prompting techniques including zero-shot, few-shot in-context learning,...
Grounding AI in external data
Move beyond the model's internal weights to include external, proprietary data. Specialize in grounding AI through Retrieval-Augmented Generation (RAG...
AI as a modular software component
Treat AI as a modular component within broader software architecture. Bridge conventional software engineering with the unique nature of AI models usi...
Orchestrating complex agentic workflows
Orchestrate complex, multi-stage agentic workflows. Understand the deep architecture of transformers — self-attention mechanisms, multi-head attention...
Scaling AI across the enterprise
Focus on infrastructure and governance required to scale AI organization-wide. Standardize the AI Stack for secure, efficient team usage. Manage MLOps...
Pushing the boundaries of the field
Push the boundaries of AI through fundamental research and innovation. Focus on long-term societal impacts including AI alignment, emergent behavior d...