90 courses covering everything from how a model learns to building enterprise AI systems. No paywalls, no prerequisites, no fluff.
Both courses are fully built: index, six modules, capstone, and a six-part blog series.
Publishing daily. Each course includes 6 modules, a capstone, and a 6-part blog series.
How agents work, tool use, multi-agent orchestration, memory, and building your first agentic workflow.
When to fine-tune versus prompt, datasets, LoRA and PEFT, evaluation, and deploying a fine-tuned model.
Vector databases, embeddings, chunking strategies, RAG pipelines, and evaluating retrieval quality.
Building the business case, choosing vendors, governance, risk, and leading an AI transformation.
Benchmarks, human evaluation, automated metrics, red-teaming, and the MEDFIT-LLM framework for domain-specific evaluation.
What alignment means, RLHF, Constitutional AI, jailbreaks, and what safety research looks like today.
Quantization, batching, caching, FrugalGPT cost routing, and how to run AI at scale without breaking the budget.
EU AI Act, US executive orders, ISO 42001, building an internal AI governance function, and compliance frameworks.
Pick the path that matches where you are today.
Start with Model Development Fundamentals, then Prompt Engineering. No math required.
Prompt Engineering first, then AI for Enterprise Leaders, then AI Governance.
Model Development, then Fine-Tuning, then RAG, then Inference Optimization.
Prompt Engineering, then AI Agents, then RAG, then Evaluating AI Models.
The courses are free. For hands-on strategy work with your team, book a session.
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