Basic
AI Fundamentals Vocabulary Guide
Build a solid conceptual foundation in Artificial Intelligence. Develop from ML basics and neural networks to Transformers, LLMs, and the modern AI API ecosystem designed specifically for developers entering AI Engineering.
Released in 9 de marzo de 2026
Lessons
55
Modules
8
Type
Free
Across three progressive phases, you'll build understanding from the ground up:
- AI/ML/Deep Learning fundamentals and neural networks (Phase 1),
- Transformers, LLMs, and the modern AI API ecosystem (Phase 2),
- And the AI Engineering role with a practical system design project (Phase 3).
By the end, you'll have the conceptual foundation needed for AI Engineering work.
Understand tokens, embeddings, context windows, provider trade-offs, and system design patterns.
What you'll learn
Explain AI, ML, Deep Learning, and Generative AI with technical clarity
Understand how neural networks work conceptually (layers, activation, backpropagation)
Explain the Transformer architecture and why it revolutionized AI
Understand how LLMs work: tokenization, embeddings, context window, temperature
Compare major LLMs (GPT-4, Claude, Llama, Mistral) across key dimensions
Navigate the AI API ecosystem: providers, pricing, open-source vs proprietary, local vs cloud
Differentiate AI Engineering from ML Engineering and Data Science
Design high-level AI system architectures (chatbots, RAG, Q&A systems)
Who this course is for
Developers who want to become AI Engineers and need a solid conceptual foundation before building
Software engineers adding AI features to their products who need to understand how LLMs and APIs work
Tech professionals transitioning into AI roles who need to understand the modern AI stack without a math-heavy approach
Bootcamp students preparing for the AI Engineering Bootcamp who want a strong theoretical base
Anyone technically curious who wants to understand Transformers, LLMs, and the AI ecosystem at a level deeper than surface-level hype
Prerequisites
Curiosity about AI and technology
Ability to read technical documentation in English
Basic understanding of programming (what code is, what a function does)
Course content
Explore all the modules and capsules included in this course
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