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SPECIALIZED LEARNING TRACK

Build Your Own Agent

Architect Autonomous AI Systems, RAG Pipelines & Multi-Agent Teams

Courses: 9 ModulesLevel: Intermediate to AdvancedMode: Interactive Live Bootcamp

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PATHWAY SPECIFICATIONS

9 MODULES

Weekly Effort6–8 hrs/week

Guided Projects5+ Agent Architectures

Instruction ModeInteractive Live Bootcamp

Digital CertificateVerified LinkedIn Endorsement

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●Mode: Interactive Live Bootcamp

●Skill Level: Intermediate to Advanced

●Effort: 6–8 hrs/week

●Projects: 5+ Agent Architectures

TIMELINE ROADMAP

Detailed Curriculum & Modules

Progression roadmap designed to take you step-by-step through Build Your Own Agent.

Foundations of LLMs & API Integration

1 Week

Understand API interactions, temperature settings, and model responses.

Core Topics Covered:

Connecting to OpenAI, Anthropic, and open-source API endpoints

Managing API key security and rate limits

Handling JSON structured outputs from LLMs

Intelligent Agent Mechanics & Tool Calling

2 Weeks

Build ReAct loops where models choose and execute external tools.

Core Topics Covered:

Designing custom Python tool definitions for agents

Parsing model tool calls and returning execution results

Handling tool execution errors and fallback loops

Stateful Agent Memory & Vector RAG Pipelines

2 Weeks

Give agents persistent memory and private document retrieval.

Core Topics Covered:

Short-term vs long-term vector memory storage

Building RAG search using ChromaDB and Pinecone

Managing chat history and context pruning

Multi-Agent Systems & Production Deployment

2 Weeks

Orchestrate teams of specialized agents and deploy to FastAPI cloud endpoints.

Core Topics Covered:

Supervisor and sub-agent team architectures

Building REST API servers with FastAPI for agent communication

Deploying agent containers to Vercel/Render with monitoring

TECH STACK

Tools & Platforms You Master

Agent Framework

LangChain

Agent orchestration & chain management

RAG Engine

LlamaIndex

Data indexing & retrieval augmentation

Vector DB

Pinecone

Managed cloud vector similarity search

Vector DB

ChromaDB

Lightweight open-source vector database

Backend

FastAPI

High-performance Python API framework

Search Tool

Tavily Search API

Real-time web search for AI agents

CAREER OUTCOMES

What You Will Achieve

OUTCOME 01

Production Agent Engineering

Build agents capable of using tools, searching vector databases, and running autonomously.

OUTCOME 02

Enterprise RAG Architecture

Index private PDFs, databases, and APIs into searchable vector embeddings.

OUTCOME 03

Multi-Agent Orchestration

Configure manager and sub-agent hierarchies to solve complex multi-step workflows.

OUTCOME 04

Cloud Deployment Mastery

Package agent code into containerized microservices hosted on modern cloud infrastructure.

THE AI SCHOOL PH

VERIFIED CREDENTIAL #PH-978832

OFFICIAL CERTIFICATE

This certifies that

[ Your Full Name ]

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

Certified AI Agent Architect

✓ LangChain✓ LlamaIndex✓ Vector Search RAG✓ Tool Calling✓ FastAPI

Verifiable on LinkedIn

The AI School Philippines

CAREER CREDENTIAL

Stand Out to Employers with Verified Proof

Credential validating expertise in building and deploying autonomous AI agents.

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

Build Your Own Agent FAQs

Specific answers regarding prerequisites, schedule, and projects for Build Your Own Agent.

A chatbot only generates text responses. An AI Agent autonomously reasons, selects tools (like web search or database queries), and executes actions to solve multi-step tasks.

COHORT

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