MrGPTACADEMY
Dr. Abootaleb Moradi
Curriculum & Lecture Notes

Applied AI & Prompt Engineering

A comprehensive 8-module industrial masterclass designed for developers, product managers, and enterprise leaders transitioning from basic prompting to production agentic architectures.

8 Deep Modules 12+ Hours of Content Hands-on Exercises Instructor: Dr. Moradi
Open Public Access Active

Module 2 & Module 6 are completely free & public

You can study Module 2 (Cognitive Persona Steering) and Module 6 (Agentic Systems) with zero sign-in required. Register free for unlimited access to all 8 modules.

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Session 1: Mental Models & Prompt Architecture
Module 1
Masterclass
90 minutes•Beginner to Intermediate

Session 1: Mental Models & Prompt Architecture

Token prediction mechanics, probability and temperature management, context-window optimization, and the 4-pillar architecture.

Core Objectives

  • •Understand how tokenizers split text and how the model predicts the next token.
  • •Control output randomness with temperature, top-p, and frequency penalties.
  • •Design prompts with the 4-pillar structure: Role, Context, Task, Constraints.
4 core sectionsOpen Lecture Note
Session 2: Persona Injection & Cognitive Steering
Module 2Public Free Access
Masterclass
100 minutes•Intermediate

Session 2: Persona Injection & Cognitive Steering

Psychological personas, attention steering, and the 6-layer industrial architecture; analysis of 5 clinical personas.

Core Objectives

  • •Replace decorative job titles with cognitive personas that steer reasoning.
  • •Apply the 5 clinical personas (OCD, Paranoia, Hyperfocus, ASD-1, Hypomania) to appropriate tasks.
  • •Build prompts with the 6-layer industrial architecture.
Open without sign-inRead Free Module
Session 3: Context Engineering & Smart Window Management
Module 3
Masterclass
100 minutes•Intermediate

Session 3: Context Engineering & Smart Window Management

The 7-part context anatomy, beating Lost in the Middle, and analyzing large documents.

Core Objectives

  • •Distinguish prompt engineering from context engineering.
  • •Assemble the 7-component enterprise context.
  • •Defeat Lost in the Middle with strategic layout.
4 core sectionsOpen Lecture Note
Session 3 Exercises: Worked Solutions
Module 4
Masterclass
60 minutes•Intermediate

Session 3 Exercises: Worked Solutions

Step-by-step solutions to the context-engineering challenges, with ready prompts, business scenarios, and real outputs.

Core Objectives

  • •Solve context-assembly problems with model solutions.
  • •Practice schema-locked outputs on realistic business data.
  • •Learn to score your own prompts against a rubric.
4 core sectionsOpen Lecture Note
Session 4: Skills & Everyday Workflow Automation
Module 5
Masterclass
100 minutes•Intermediate to Advanced

Session 4: Skills & Everyday Workflow Automation

The 5-block skill structure, the 4-layer agent architecture, and 9 ready-to-run patterns.

Core Objectives

  • •Package repeatable expertise as portable "skills".
  • •Design the 4-layer agent: perceive, plan, act, remember.
  • •Deploy 9 automation patterns for daily work.
4 core sectionsOpen Lecture Note
Session 5: Production Workflows in AI
Module 6
Masterclass
100 minutes•Advanced

Session 5: Production Workflows in AI

Prompt chaining, analytical tools (Deep Research, Code Interpreter), and multi-model evaluation.

Core Objectives

  • •Chain prompts into resilient multi-stage pipelines.
  • •Use Deep Research and Code Interpreter as pipeline stages.
  • •Evaluate outputs across multiple models and pick winners.
4 core sectionsOpen Lecture Note
Session 6: Agentic Systems — From Chatbots to Autonomous Agents
Module 7Public Free Access
Masterclass
110 minutes•Advanced

Session 6: Agentic Systems — From Chatbots to Autonomous Agents

A survey of top 2026 systems with deep dives into Antigravity, Hermes Agent, and OpenClaw.

Core Objectives

  • •Map the 2026 agentic landscape: frameworks, protocols, and deployment models.
  • •Understand Antigravity, Hermes Agent, and OpenClaw architectures in depth.
  • •Design a multi-agent swarm for a real business process.
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Session 7: GEO & AEO — Optimization for the Generative Search Era
Module 8
Masterclass
120 minutes•Intermediate to Advanced

Session 7: GEO & AEO — Optimization for the Generative Search Era

Twelve applied GEO techniques, measurement frameworks, ROI, and a 90-day execution roadmap.

Core Objectives

  • •Separate SEO, AEO, and GEO with a unified content-cluster strategy.
  • •Apply 12 evidence-backed GEO techniques from ICLR 2024 research.
  • •Measure AI-engine visibility with KPIs: brand-mention rate, share of voice, narrative accuracy.
4 core sectionsOpen Lecture Note

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