Philippines only school where startup Leaders teach AI skills.

Home LearnGAMER

SPECIALIZED LEARNING TRACK

GAMER

Generative AI, Algorithms, Machine Learning & Engineering Mastery

Courses: 7 ModulesLevel: Beginner to AdvancedMode: Hybrid / Online Live

Explore Curriculum Enroll in Track

PATHWAY SPECIFICATIONS

7 MODULES

Weekly Effort8–10 hrs/week

Guided Projects7+ Portfolio Projects

Instruction ModeHybrid / Online Live

Digital CertificateVerified LinkedIn Endorsement

Apply for Next Cohort

●Mode: Hybrid / Online Live

●Skill Level: Beginner to Advanced

●Effort: 8–10 hrs/week

●Projects: 7+ Portfolio Projects

TIMELINE ROADMAP

Detailed Curriculum & Modules

Progression roadmap designed to take you step-by-step through GAMER.

Essentials Generative AI, Prompt Engineering & ChatGPT

3 Weeks

Understand transformer architectures, prompt engineering patterns, and multimodal tools.

Core Topics Covered:

LLM architecture, tokens, and context window mechanics

Zero-shot, few-shot, and chain-of-thought prompting

Multimodal creation with Midjourney, DALL-E 3 & ElevenLabs

Programming Refreshers – Python 3

2 Weeks

Build clean, object-oriented Python code for data processing and AI development.

Core Topics Covered:

Python data types, control flow, functions, and modules

Object-Oriented Programming (Classes, Inheritance, Polymorphism)

File handling, exception management, and Virtual Environments

Data Structures & Algorithms with Python

4 Weeks

Master core computer science algorithms and technical interview problem solving.

Core Topics Covered:

Arrays, Linked Lists, Stacks, Queues, Hash Tables

Trees, Binary Search Trees, Heaps, and Graph Traversals (BFS/DFS)

Sorting, Searching, Dynamic Programming, and Big-O Notation

Applied Data Science with Python

3 Weeks

Manipulate, clean, analyze, and visualize real-world datasets with Python.

Core Topics Covered:

Data wrangling with Pandas DataFrames and NumPy arrays

Exploratory Data Analysis (EDA) and handling missing values

Data visualization using Matplotlib and Seaborn statistical plots

Machine Learning Foundations

4 Weeks

Train and evaluate supervised and unsupervised machine learning algorithms.

Core Topics Covered:

Linear & Logistic Regression, Decision Trees, Random Forests

K-Means Clustering, PCA dimension reduction, Scikit-Learn pipelines

Model evaluation metrics (Precision, Recall, F1-Score, ROC-AUC)

Deep Learning & Neural Networks

4 Weeks

Construct deep neural networks and transformer models using PyTorch.

Core Topics Covered:

Perceptrons, backpropagation, and activation functions

Building Artificial Neural Networks (ANNs) in PyTorch

Introduction to Convolutional (CNN) and Transformer models

Build Your Own Autonomous AI Agent

4 Weeks

Architect end-to-end tool-calling agents and vector search RAG systems.

Core Topics Covered:

LangChain and LlamaIndex agentic workflows

Vector databases (Pinecone/ChromaDB) and RAG indexing

Deploying stateful multi-agent systems to production cloud APIs

TECH STACK

Tools & Platforms You Master

LLM

ChatGPT (GPT-4o)

Advanced conversational reasoning

LLM

Claude 3.5 Sonnet

Complex document & code analysis

Language

Python 3

Core AI programming language

Framework

PyTorch

Deep learning neural network library

ML Library

Scikit-Learn

Supervised & unsupervised ML algorithms

Agent Framework

LangChain

Agent orchestration & RAG pipelines

CAREER OUTCOMES

What You Will Achieve

OUTCOME 01

Autonomous AI System Architecture

Design and deploy multi-step agents that execute tools, query vector search, and run autonomously.

OUTCOME 02

Full-Stack Machine Learning Pipelines

Clean raw datasets, engineer features, train ML models, and evaluate predictive accuracy.

OUTCOME 03

Algorithmic Problem-Solving Mastery

Solve complex data structure and algorithm challenges confidently for technical roles.

OUTCOME 04

Verifiable Senior AI Engineering Credentials

Display official digital certificates backed by live portfolio code on GitHub.

THE AI SCHOOL PH

VERIFIED CREDENTIAL #PH-563228

OFFICIAL CERTIFICATE

This certifies that

[ Your Full Name ]

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

Certified GAMER AI Engineer

✓ GenAI & Prompting✓ Python DSA✓ Machine Learning✓ PyTorch✓ AI Agents

Verifiable on LinkedIn

The AI School Philippines

CAREER CREDENTIAL

Stand Out to Employers with Verified Proof

Official flagship credential validating full-spectrum AI engineering proficiency.

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

GAMER FAQs

Specific answers regarding prerequisites, schedule, and projects for GAMER.

GAMER stands for Generative AI, Algorithms, Machine Learning, Engineering & Reasoning.

COHORT

LIMITED COHORT SEATS

Register for Philippines Cohort

Fill in your details below and our academic counseling team will get back to you within 24 hours.

Ready to Enroll in GAMER?

Join the next live cohort in the Philippines and learn directly from active startup leaders.

Apply for Cohort