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Prompt Engineering 101

Prompt Engineering 101 turns casual AI chatting into precision software instruction. Learn structural frameworks, system prompt engineering, chain-of-thought reasoning, and automated prompt templates to extract exact, predictable outputs from any AI model.

Duration: 6 hrsLevel: Beginners – AdvanceFormat: Hands-on Workshop
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QUICK SPECIFICATIONS

★ 4.9/5 Rating
Hands-on Ratio90% Practical
Projects Built6+ Projects
Total Graduates1,850+ Alumni
Official CertificateYes (LinkedIn Verifiable)
Reserve Cohort Seat
●Instructors: Active Tech Startup Leaders
●90% Practical Hands-on Coding/Labs
●Verifiable Digital LinkedIn Certificate
TOOLKIT

Tools & Platforms You Will Master

Hands-on practice using actual commercial tools and open platforms for Prompt Engineering 101.

API Environment

OpenAI Playground

Parameter tuning & system prompt testing

LLM Canvas

Claude Artifacts

Interactive document & code generation

Marketplace

PromptBase

Analyzing commercial prompt structures

Prompt Repo

LangChain Hub

Reusable enterprise prompt templates

Tooling

System Prompt Studio

Guardrail & constraint engineering

AI Tool

Automatic Prompt Optimizer

Automated prompt evaluation

CURRICULUM

Module-by-Module Breakdown

MODULE 01SECTION 1 OF 4

Anatomy of an Enterprise-Grade Prompt

Break down instructions into context, objective, output specifications, and negative constraints.

Learning Outcomes:
Understand Zero-Shot vs Few-Shot prompting patterns
Design strict XML/JSON formatting instructions for reliable API calls
Implement negative constraints to prevent unwanted model behavior
MODULE 02SECTION 2 OF 4

Chain-of-Thought & Reasoning Architectures

Enable LLMs to solve multi-step mathematical, logic, and analytical tasks with precision.

Learning Outcomes:
Master Manual & Self-Consistency Chain-of-Thought techniques
Utilize ReAct (Reason + Act) prompting for agentic decision making
Debug failing prompts using step-by-step reasoning logs
MODULE 03SECTION 3 OF 4

Structured Schema Control (JSON & Markdown)

Force LLMs to return clean, parseable structured data for software integrations.

Learning Outcomes:
Control JSON output schemas without code errors
Generate dynamic Markdown tables, checklists, and code blocks
Validate model responses against defined TypeScript/Zod schemas
MODULE 04SECTION 4 OF 4

Hallucination Control & Guardrails

Protect brand integrity by enforcing factual grounding and anti-jailbreak safeguards.

Learning Outcomes:
Implement strict source-attribution prompting protocols
Shield prompts against basic injection and user tampering
Benchmark and rate prompt performance across GPT-4o and Claude 3.5
AUDIENCE

Who Should Enroll

01

Software Engineers & Developers

Integrate predictable LLM prompts into APIs, apps, and automated backend services.

02

Technical Product Managers

Design prompt specs and evaluation metrics for AI feature rollouts.

03

Data & Business Analysts

Extract structured data from unstructured documents using precision prompts.

04

AI Enthusiasts & Power Users

Upgrade personal AI workflows from casual asking to engineering-grade results.

THE AI SCHOOL PH

VERIFIED CREDENTIAL #PH-338531

OFFICIAL CERTIFICATE

This certifies that

[ Your Full Name ]

has successfully completed all requirements, practical lab projects, and assessment modules for

Certified Prompt Engineer Specialist

✓ Few-Shot Prompting✓ Chain-of-Thought✓ JSON Schema Control✓ Guardrail Design
Verifiable on LinkedIn
The AI School Philippines
CAREER CREDENTIAL

Stand Out to Employers with Verified Proof

Specialized credential verifying expertise in advanced LLM prompt engineering.

Direct LinkedIn Integration

1-click addition to your LinkedIn licenses & certifications section with cryptographic verification.

Portfolio-Backed Projects

Includes direct links to your hands-on code repositories and deployed workshop projects.

Endorsed by Tech Startup Leaders

Issued by active startup founders, CTOs, and AI leaders across the Philippines tech ecosystem.

FREQUENTLY ASKED QUESTIONS

Prompt Engineering 101 Q&A

Specific answers regarding prerequisites, schedule, and certification for this course.

No. Prompt engineering encompasses structural frameworks, system instructions, temperature tuning, JSON schema forcing, chain-of-thought logic, and security guardrails.
COHORT
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