✦ AI PASSPORT™ PROJECTS

DON'T JUST TELL US YOU CAN BUILD.
SHOW US.

AI capability becomes meaningful when it can be demonstrated through real work.

LEARNING IS ONLY THE BEGINNING.

Knowing what AI can do is one thing.
Using it to create something useful is another.
AI Passport projects are designed to move learners from understanding AI to applying it.

LEARN → EXPERIMENT → BUILD → TEST → APPLY
THE PROJECT IS WHERE THE LEARNING BECOMES REAL.

WHAT WILL YOU BUILD?

GENERATIVE WORKFLOW LEVEL 1

AI Lesson Plan & Curriculum Generator

A multi-step prompt pipeline converting subject topics into structured lesson plans and quiz flashcards.

#NoCode #PromptPipeline
MULTIMODAL AI STAGE 2

Multimodal Visual & Audio Studio

An interactive studio generating custom graphics, storyboards, and audio overviews from text prompts.

#MultiModal #VoiceSynthesis
DATA & AUTOMATION STAGE 3

Enterprise Data Pipeline & Auditor

Automated Python data parsing scripts that clean CSV datasets and generate instant visualization insights.

#Python #DataPipeline
AUTONOMOUS AGENTS STAGE 4

Real-Time Web API & Agentic Automation

An agentic system utilizing tool-calling to fetch live web data, format structured JSON, and trigger webhooks.

#Agents #ToolCalling
RAG & KNOWLEDGE BASE STAGE 5

High-Accuracy Document Knowledge Search

A vector-database RAG application allowing users to upload multi-page PDFs and query them with semantic accuracy.

#RAG #VectorDB
FULL-STACK AI STAGE 7

Full-Stack AI Web Application Prototype

A complete web product featuring user authentication, Supabase database integration, and LLM streaming.

#FullStack #Supabase

EVERY PROJECT STARTS WITH A QUESTION.

QUESTION → IDEA → EXPERIMENT → PROTOTYPE → BUILD → TEST → DEMONSTRATE

AI Passport encourages learners to use AI as a building tool—not simply an answer engine.

PROJECTS SHOW WHAT SKILLS LOOK LIKE IN PRACTICE.

PROMPT ENGINEERING

→ Better AI interaction & structured outputs

AUTOMATION

→ AI-powered workflows & API webhooks

AGENTS

→ AI systems that can execute actions

RAG & KNOWLEDGE

→ AI working with custom documents

MULTIMODAL AI

→ AI across text, image, audio and video

FULL-STACK AI

→ AI-powered functional web applications

START SIMPLE. BUILD BIGGER.

FOUNDATION

FIRST BUILDS

Initial AI interactions and prompt workflows.

APPLIED

WORKFLOWS

Practical tools for real-world use cases.

ADVANCED

SYSTEMS

Complex multi-agent integrations and APIs.

PRODUCT

APPLICATIONS

Deployable AI-powered products and apps.

YOUR FIRST PROJECT COULD START TODAY.

Begin with AI Passport Live and move from your first AI experience to your first practical build.

AI PASSPORT LIVE • 12 LIVE SESSIONS • HANDS-ON PROJECTS • FREE
REGISTER FREE →

WHAT WILL YOU BUILD?

Don't wait until you know everything. Start building. Learn as you go.

AI PASSPORT™ • DON'T JUST LEARN AI. BUILD WITH IT.
GENERATIVE WORKFLOW BUILD

AI Lesson Plan & Curriculum Generator

Problem: Teachers spend 10+ hours weekly manually designing structured lesson plans and quiz materials.

Approach: Built a multi-step prompt pipeline using foundation models with system directives and JSON output enforcement.

Build: An interactive web workflow generating lesson objectives, quiz flashcards, and presentation slide decks.

Capabilities: Prompt Engineering, Structured Data Output, System Prompting.

Outcome: Reduces lesson creation time from hours to under 2 minutes.

RAG & KNOWLEDGE BASE

Autonomous Document Knowledge Search

Problem: Extracting specific insights from complex 200+ page regulatory documents or textbooks is slow and error-prone.

Approach: Chunked document text using vector embeddings into a Pinecone vector database with semantic similarity retrieval.

Build: A RAG search interface allowing natural language querying over custom PDF upload files.

Capabilities: Vector Databases, RAG Architecture, Embedding Generation.

Outcome: Instant, high-accuracy RAG document retrieval with precise source page citations.

AUTONOMOUS AGENT BUILD

Real-Time Web API & Agentic Automation

Problem: Standard LLMs cannot access real-time stock prices, weather, or web API data on their own.

Approach: Equipped an LLM agent with function calling capabilities to execute REST API requests based on user intent.

Build: An autonomous agent capable of fetching weather data, executing API webhooks, and summarizing results.

Capabilities: Autonomous Agents, Tool Calling, Web API Integration.

Outcome: Real-time task execution beyond static model knowledge.

MULTIMODAL AI WORKFLOW

Multimodal Visual & Audio Studio

Problem: Creating multimedia learning content requires separate design, audio, and text editing tools.

Approach: Combined image generation models with text-to-speech audio synthesis into one unified pipeline.

Build: A multimodal creative studio for producing visual infographics and podcasts.

Capabilities: Multimodal AI, Image Generation, Voice Synthesis.

Outcome: Automated creation of rich educational media from text descriptions.

FULL-STACK AI PRODUCT

Full-Stack AI Web Application Prototype

Problem: Prototyping software applications usually requires months of manual backend development.

Approach: Leveraged modern web frameworks, Supabase auth/database, and LLM API streaming to build a full product in days.

Build: A deployed web app featuring dashboard controls, real-time streaming, and database persistence.

Capabilities: Full-Stack Web Development, Database Integration, LLM Streaming.

Outcome: A functional AI product prototype ready for live user testing.

DATA PIPELINE

Enterprise Data Pipeline & Auditor

Problem: Cleaning dirty data tables and detecting anomalies manually wastes analyst time.

Approach: Wrote Python scripts using pandas and AI anomaly detection to inspect datasets automatically.

Build: A data audit pipeline producing clean CSV outputs and summary charts.

Capabilities: Python Data Analysis, Data Cleaning, Anomaly Detection.

Outcome: Automated auditing of large datasets with zero manual spreadsheet work.