Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
12 Hour(s) 2 Minute(s)
Language
English
Taught by
Alexandros Fatsis - AI and Digital Marketing Professional
Rating
1 views
Course Overview
From Prompt Crafter to Reasoning Architect: Mastering Cognitive Systems, Autonomous Agents, and Evolutionary Design.
This course contains the use of artificial intelligence!
Basic familiarity with LLMs (e.g., ChatGPT, Claude) is recommended.
Stop treating the AI like a chatbot and start treating it like a cognitive engine. This course will transform you from a Prompt Writer into a Systems Architect.
About this course:
From Tactics to Strategy: Move beyond simple "tips and tricks" into the engineering disciplines required for production-grade AI.
Battle-tested Architectures: Learn the exact reasoning structures (ToT, GoT, AoT) used to solve complex, high-stakes problems.
Unconditional 30-day money-back guarantee: My personal promise that you will master the ability to build reliable, self-correcting AI systems.
A step-by-step guide for designing autonomous agents and evolutionary prompts.
Full, free lifetime access to all course materials.
The knowledge this Advanced Cognitive Architecture course provides is truly state-of-the-art:
The Engineering Mindset: Shift from "vibe checking" to rigorous Accountability Protocols and the Traffic Light Framework for safety and liability1.
Context Architecture: Overcome the $O(N^2)$ complexity limit and "Context Rot" by designing rigorous Information Ecosystems using The Constitution and The Brief.
Psychological Signal Engineering: Use the Influence Layer and "Strategic Politeness" to statistically force the model into its high-effort, expert distribution.
Advanced Reasoning Frameworks: Go beyond Chain-of-Thought. Master Tree of Thoughts (ToT) for complex search 4, Graph of Thoughts (GoT) for non-linear synthesis 5, and Algorithm of Thought (AoT) for efficiency6.
Consensus & Verification: Eliminate hallucinations using Universal Self-Consistency and Triangulation to create "virtual committees" that verify their own facts.
The Self-Healing Pipeline: Build autonomous agents that don't just fail—they detect errors using a Diagnostic Lexicon and route them to a Debugger Agent for correction.
Evolutionary Prompting: The final frontier—replace human tuning with PROMPTBREEDER algorithms that allow the AI to mutate, breed, and evolve its own superior architectures.
Each section is a rigorous engineering deep-dive that provides not just the "how," but the mathematical and structural "why." You will stop writing sentences and start designing Glassbox Systems—observable, reliable, and precise.
After completing your course you can get your Advanced Cognitive Architecture Certification by following the instructions here: https://support.udemy.com/hc/en-us/articles/229603868-Certificate-of-Completion.
Course Content
- 10 section(s)
- 77 lecture(s)
- Section 1 Introduction
- Section 2 Owning the Output
- Section 3 The 'Best Guess' Protocol: Calibrating AI
- Section 4 Prompt Formatting: Why Structure Beats Wording
- Section 5 Strategic Politeness: The AI Control Knob
- Section 6 The Repetition Myth: Why Shouting at AI Fails
- Section 7 Context Engineering: The Next Level of Prompt Design
- Section 8 The Confirmation Principle: Demand Proof, Not Promises
- Section 9 The Triangulation Framework: Finding Truth In The Age of Misinformation
- Section 10 Thread of Thought
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.
Skills covered in this course
Reviews
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IIoannis Sclavos
One key thing I learned was how to treat prompts as executable production code rather than casual instructions, which fundamentally changed how I approach prompt structure and reliability. I also gained practical knowledge in advanced reasoning architectures, such as Tree of Thoughts and Graph of Thoughts for solving complex problems, along with techniques for verifying outputs to reduce hallucinations. Overall, the course pushed me beyond basic prompt tactics to think more like a systems architect when working with AI.
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KKaterina Kollia
Wow!!!Excellent!!!!It helped a lot!!
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NNikolaos Maragkoudakis
This was an excellent course, clear, practical, and very well structured. The content goes beyond basics and really explains how to think strategically about prompt engineering, not just how to write prompts. The real-world examples and use cases made everything easy to apply immediately. Highly valuable for anyone working with AI, especially in digital marketing or professional settings. I’d definitely recommend this certification.
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NNestor Polydorou
Having completed the previous AI course, I enrolled in the Advanced prompt AI class with high expectations—and it absolutely delivered. This course builds on foundational concepts in a clear, structured way, guiding students from essential machine learning principles into more sophisticated models, real-world applications, and critical AI ethics discussions.
