Frame the right solution
Explain core and advanced AI concepts, identify a relevant agency problem, and design a practical AI approach.
AI TECHNICAL SPECIALIST SERIES · BATCH 1
Build AI.
Advance public service.
AI 402: Advanced Applied Artificial Intelligence
for the Philippine Public Sector
Turn government challenges into working AI prototypes. Develop your technical capabilities through hands-on laboratories, expert mentoring, and an agency-relevant capstone project.
Development Academy of the PhilippinesCenter for Strategic Futures
DELIVERYBlendedIntensive training + mentored studio
BATCH 1Nov 9 – Dec 112026 · See scheduled training blocks
COURSE FEEFREEFor the pilot batch
COHORT SIZE25 participantsCompetitive admission
THE NEXT STEP IN YOUR AI PRACTICE
From understanding AI
to making it work.
Government needs technical specialists who can turn institutional needs into responsible, useful AI solutions.
AI 402 is the advanced applied course in DAP’s AI 400 Technical Specialist Series. It brings together machine learning, large language models, AI agents, application development, and responsible AI practice through real or simulated Philippine public sector use cases.
You’ll learn by coding, testing, collaborating, and building—with a clear connection to your agency’s work.
WHAT YOU’LL TAKE AWAY
Skills across the AI lifecycle.
Technical capability, grounded in public value and human oversight.
Build and prototype
Create AI models and applications using machine learning, LLMs, agents, and emerging AI technologies.
Test what matters
Assess performance and reliability while applying responsible AI, governance, privacy, and security principles.
Prepare for real use
Identify deployment and integration requirements for government systems, with an implementation roadmap.
THE LEARNING JOURNEY
Learn the foundations.
Build something that matters.
Two connected parts take you from guided technical practice to an agency-focused capstone.
01AI Engineering Foundations for GovernmentAI lifecycle · architecture · responsible AI
Understand AI in the Philippine public sector, responsible AI by design, and the architecture of modern AI solutions—from data and models to applications, agents, and APIs.
Core focus: governance, fairness, explainability, privacy, security, and human oversight.
02Machine Learning for Public Sector ApplicationsData preparation · model development · evaluation
Prepare and clean data, engineer features, and develop supervised and unsupervised models. Evaluate and explain model performance.
Laboratory output: Working Machine Learning Notebook.
03Building Generative AI ApplicationsLLMs · prompts · retrieval-augmented generation
Work with LLMs, structured outputs, and APIs. Build knowledge-grounded applications using embeddings, vector databases, chunking, retrieval, evaluation, and guardrails.
Laboratory output: Prototype LLM/RAG Application.
04Agentic AI and Intelligent WorkflowsTool use · automation · multi-agent systems
Explore agent planning, reasoning, workflow automation, and multi-agent collaboration. Examine orchestration, MCP concepts, and human-in-the-loop government assistants.
Laboratory output: Agentic AI Workflow Prototype.
05Deploying Responsible AI SolutionsDeployment · MLOps · operational readiness
Explore APIs, containers, monitoring, versioning, and MLOps fundamentals. Assess security and governance controls for reliable government AI solutions.
Output: Deployment and Responsible AI Readiness Assessment.
06Developing and Managing AI Projects in GovernmentProblem framing · project planning · implementation oversight
Use gap analysis, design thinking, and workflow mapping to frame an AI project. Plan resources, milestones, and risks, then manage quality, stakeholder coordination, and operational ownership.
Output: AI Project Development and Management Plan.
PART II
Applied AI Studio
A mentored environment to apply your learning to a real agency problem. Develop individually or, where the cohort allows, with colleagues from your agency.
December 1–11, 2026
01Define & design
Validate your use case and solution architecture with mentor feedback.
02Build & refine
Develop, test, evaluate, and document your AI prototype.
03Demonstrate
Present your solution, public value, and implementation roadmap on December 10–11.
PLAN YOUR PARTICIPATION
Your 2026 course calendar.
APPLICATION PERIOD
Open application portal
October 8–16, 2026
Complete the application form and prepare your signed agency nomination letter during this period.
AI 400 Qualifying Exam
Foundational technical readiness assessment for applicants.
Part I · First training block
AI Engineering Foundations and Development.
Part I · Second training block
Continuation of intensive technical learning and laboratories.
Part II · Applied AI Studio
Mentored capstone development, evaluation, and demonstration.
All dates are in 2026. December 10–11 is included within Part II. Session times, venue, and access instructions will be provided by the Training Management Team.
IS AI 402 FOR YOU?
For the people who
build government’s
AI capability.
Open to qualified personnel from government agencies and eligible public sector organizations who design, develop, implement, or support AI-enabled solutions.
Software developers & engineersIT & information systems specialistsData scientists, engineers & analystsSystems analysts & database administratorsTechnical innovation & transformation officers
Before you apply
-
Foundational AI knowledge
Completion of AI 101 or an equivalent course, or demonstration of equivalent foundational competencies through assessment.
-
Programming readiness
Basic proficiency in a programming language, preferably Python, and readiness for advanced technical work.
-
AI 400 Qualifying Exam
Assessment covers programming, data handling, software development, computational thinking, and AI foundations.
-
Agency support
A signed nomination letter confirms your employment and supports your application. No separate proof of employment is required.
AI 401 may be recommended where technical preparation is needed.
Applicants who demonstrate the required competencies may proceed
directly to AI 402.
HOW ADMISSION WORKS
A clear path to participation.
Admission is competitive and subject to eligibility, technical readiness, and available places.
-
01
Apply & take the exam
Apply from October 8–16, 2026: complete the application form and submit the agency nomination letter. Take the AI 400 Qualifying Exam on October 19.
-
02
Complete screening
The Training Management Team reviews your profile, role, technical background, and exam performance.
-
03
Confirm your support
Shortlisted applicants submit the Participant Commitment and Availability Form and Institutional Adviser Confirmation Form.
-
04
Prepare for training
Confirmed participants receive onboarding instructions and prepare an agency AI use case with their Institutional Adviser.
When qualified applicants exceed available places
60% Technical readiness30% Relevant technical background10% Institutional support
A FEW PRACTICAL DETAILS
Before you take
the next step.
What does completion require?
Participants must meet attendance, assessment, laboratory, mentoring, and capstone requirements. Successful completers receive a Certificate of Completion from DAP under the National Capability-Building Program on AI.
Will my capstone be individual or team-based?
Sole representatives of an organization develop individual capstones. Participants from the same agency may work together on a shared solution, depending on the composition of the cohort.
What does an Institutional Adviser do?
Your adviser—preferably your supervisor or an appropriate senior agency official—helps validate your use case, provides organizational context, supports your participation, and considers how the project could be adopted after training.
Is there a later batch?
Batch 2 is targeted for Q1 2027. Qualified applicants who cannot be accommodated in the current batch are prioritized for the succeeding batch, subject to continued availability and agency endorsement.
Where can I get the nomination template?
Download the agency nomination template (.docx). Complete it on official agency letterhead and have the appropriate approving authority sign it.
YOUR AGENCY’S NEXT AI SOLUTION STARTS HERE
Bring a challenge.
Build your capability.
Explore the application form and prepare your agency nomination.
The application portal currently requires authorized access.
COURSE INQUIRIES
Nissa Mariel M. Caderao
Project Manager, Data and AI Laboratory
Center for Strategic
Futures