What You'll Learn
- Engineer reliable cognitive systems by treating prompts as executable production code rather than casual conversation.
- Design advanced reasoning architectures like Tree of Thoughts and Graph of Thoughts to solve complex, non-linear problems.
- Implement rigorous verification protocols like Triangulation and The Confirmation Principle to systematically eliminate hallucinations.
- Build self-healing autonomous agent pipelines that detect errors and evolve their own prompts using evolutionary algorithms.
Requirements
- Basic familiarity with LLMs (e.g., ChatGPT, Claude) is required. While no specific coding expertise is mandatory, those with a "software engineering mindset" (logic, debugging, and systems thinking) will really appreciate and enjoy the advanced architectures.
Who This Course is For
- AI Engineers, Developers, and "Prompt Crafters" ready to transition into "Cognitive Architects" capable of building enterprise-grade, autonomous AI systems.
Your Instructor
Alexandros Fatsis - AI and Digital Marketing Professional
AI and Digital Marketing Professional
4.5 Instructor Rating
5,481 Reviews
155,298 Students
4 Courses
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