Course Introduction: What You Will Learn and Why It Matters 0.00

The AI Shift: What Changed from 2023–2026 0.00

LLMs as Reasoning Engines, Not Chatbots 0.00

Key Concepts: Tokens, Context Windows, Embeddings, Temperature 0.00

Understanding Model Families (GPT, Claude, Gemini) 0.00

Where LLMs Excel — and Where They Fail 0.00

Modern Evaluation Benchmarks (LM Arena, MT-Bench, etc.) 0.00

Why Precision Is the Ultimate Multiplier 0.00

Intent → Constraints → Format → Output Framework 0.00

Turning Vague Problems Into Structured Prompts 0.00

Using Roles, Goals, Rules, and Context Correctly 0.00

Before vs After: Prompt Transformations with Commentary 0.00

The 6 Components of a Good Prompt 0.00

Principles of High-Quality Prompt Design 0.00

Context Engineering: Thick vs Thin Context 0.00

Prompt Patterns: Few-Shot, CoT, Delimiters, Iteration 0.00

Designing AI Personas for Repeatability 0.00

Detecting Hallucinations & Lightweight Evaluation 0.00

Prompting in Practice: Claude Code, NotebookLM, GPT Playgrounds 0.00

How LLMs Interpret Structure and Logic 0.00

Using MECE, JTBD, and 5 Whys Inside Prompts 0.00

Framework-Driven Workflows for Strategy, Ops, and Finance 0.00

Turning Business Problems Into LLM-Ready Tasks 0.00

Mini Case Study: Framework → Prompt → Systematic Output 0.00

From Single Prompts to Systems Thinking 0.00

Task Decomposition, Planning, and Critique Loops 0.00

Prompt Chaining vs True Agentic Patterns 0.00

Designing Human-in-the-Loop Steps 0.00

Building Multi-Step Workflows with Real Tools 0.00

Choosing Between GPT, Claude, and Gemini 0.00

Evaluating Outputs Like a Senior Consultant 0.00

When to Add Retrieval and Light Agents 0.00

Designing Guardrails, Constraints, and Safe Usage 0.00

Cross-Domain Case Studies: Finance, Ops, Marketing, CX 0.00

Why Portfolios Beat Resumes in the AI Era 0.00

Identifying Your Target Domain and Career Narrative 0.00

Mapping Your Skills Against the Agentic AI Stack 0.00

Choosing 2–3 High-Leverage Portfolio Projects 0.00

Designing AI Workflows for Your Portfolio Projects 0.00

Writing Clear Project Specs: Problem → System → Output 0.00

Building Your Public Presence (GitHub, LinkedIn, Website) 0.00

Finalizing Your Personalized 90-Day AI Roadmap 0.00

Capstone Kickoff: Selecting Your Project 0.00

Defining Problem Statement and Success Criteria 0.00

Designing Your Multi-Step Workflow 0.00

Building Your Initial Prompt Systems 0.00

Evaluation, Refinement, and Guardrails 0.00

Creating Your README and Architecture Diagram 0.00

Polishing the Experience and Preparing Your Demo 0.00

Capstone Showcase and Next Steps for Your Portfolio 0.00