The Theory section of explained.courses exists to give you the essential understanding behind every skill, tool, and roadmap on this platform. Whether you’re learning AI Agents, automation systems, programming languages, or modern workflows, strong theoretical understanding is what makes everything “click.” Tools change. Frameworks evolve. But core concepts stay the same for decades.
This is why top engineers, AI automation specialists, and software developers all rely on deep conceptual understanding—not just memorizing steps. When you know how things work, you can solve problems confidently, understand errors, build advanced systems, and adapt instantly to new technologies. Theory is what turns beginners into professionals.
Inside this section, you’ll find clear explanations of fundamental concepts like variables, loops, conditions, JSON, APIs, and workflows—concepts used everywhere from Python to Zapier, and from AI Agents to cloud infrastructure. You’ll also explore deeper topics such as embeddings, vector databases, RAG, request/response cycles, and data modeling. Each article is written with simplicity, accuracy, and real-world examples so you can understand even the most advanced topics without feeling overwhelmed.
Every roadmap on explained.courses links directly to these theory articles. When a lesson introduces a new concept—like “What is a loop?” or “What is an embedding?”—you can come here to read the full explanation. This allows you to learn at your own pace and build a solid foundation before moving forward. The articles are short enough to grasp quickly but detailed enough to give you true confidence.
Whether you are starting from zero or sharpening your technical depth, this Theory section is your reference library—your companion for every course you take on this site. As the platform grows, we will continuously expand this section with new concepts, diagrams, examples, and clarifications. You will always have a reliable place to return to whenever you need clarity or deeper understanding.
If you’re ready to explore the foundations behind the modern technologies that power AI systems, automations, programming, agents, and the tools you use every day, start browsing the topics below. Each article takes you one step closer to mastering the skills you care about.