A concise visual introduction to Ethereum as a shared programmable network. Learners follow transactions through blocks, smart contracts, proof-of-stake validation, gas, the EVM, decentralized applications, and layer 2 scaling without investment or price speculation.
A one-time purchase for five named courses. Three bilingual courses are available with Founding Learning Pack 1: How LLMs Work: Tokens, Embeddings, Attention, and Transformers; AI Agents Explained: Tools, Memory, RAG, and Guardrails; Multi-Cloud Architecture: Azure, AWS, and GCP. Two additions remain planned and are included for pack owners as released. No subscription or separate language charge.
Follow a common autoregressive transformer from text and token IDs through embeddings, causal attention, transformer blocks, and next-token generation. Distinguish training, inference, and retrieval, and learn why plausible output still needs verification.
A bilingual, vendor-neutral lesson for evaluating workload constraints, portability, resilience, identity, data, observability, cost, and operating ownership across Azure, AWS, and Google Cloud.
A planned educational lesson about self-awareness, emotional regulation, empathy, listening, communication, and reflection in technical, creative, and entrepreneurial settings.