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Advanced Prompt Engineering Certification (Kurs)

From Prompt Crafter to Reasoning Architect: Mastering Cognitive Systems, Autonomous Agents, and Evolutionary Design.

Wszystkie poziomy • 61 Wykłady • Dożywotni dostęp
Alexandros Fatsis

Sprawdzony Mistrz Instruktor

Advanced Prompt Engineering Certification
PRZYCZEPA
Poznaj swojego instruktora: Alexandros Fatsis

19 ms

5.0 / 5.0
Globalna ocena
11 godz. 50 min
Całkowita zawartość

Czego się dowiesz

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.

Treść kursu

23 sekcji • 61 wykłady • 11:50:06 długość całkowita

The Prompt Mindset

12:12

The Ask Me Questions Method From Prompt Architect to Conductor

09:58

Architect vs Socrates

10:39

Best Practices

08:41

AI_&_Academic_Integrity

07:55

Owning the Output

10:29

Resources

PDF
Pobierać

The 'Best Guess' Protocol: Calibrating AI

10:16
Tygodniowy Plan Nauki
Zaplanuj swoją naukę
AI tworzy spersonalizowany harmonogram na podstawie dostępności

Wymagania

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.

Grupa docelowa

AI Engineers, Developers, and "Prompt Crafters" ready to transition into "Cognitive Architects" capable of building enterprise-grade, autonomous AI systems.

O tym kursie

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.

Możliwości Kariery i Stanowiska Docelowe

Zdobądź praktyczne umiejętności i kwalifikuj się na kluczowe stanowiska na świecie

Program Gotowy do Pracy
Stanowiska, na które możesz aplikować

Full Stack Software Engineer

Backend Systems Developer

Frontend Application Specialist

Automation & Scripting Engineer

Szacowane Wynagrodzenie Roczne
$90,000 – $145,000 / yr
Globalne Zapotrzebowanie Rynkowe

High Global Tech Demand

Kluczowe Umiejętności, które Zdobędziesz
Production Code Architecture
RESTful & Modern API Design
State Management & UI Scaling
Debugging & Automated Testing
* Szacunki oparte na globalnych raportach płacowych branży technologicznej.
Poznaj swojego instruktora
Alexandros Fatsis
5.0 Ocena
0 Studenci
Plan osobisty Lucebra
Alexandros Fatsis
Główny Instruktor
AI and Digital Marketing Professional
Alexandros Fatsis is an AI and digital marketing professional and teacher, social media marketing specialist and Adwords, ecommerce, Google Analytics and SEO expert. He has authored several books on digital marketing, Google as well as other subjects. He also works as a journalist. His hobbies include swimming and chess. He likes long walks on the country side as well as free diving....

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