The Development Academy of the Philippines (DAP) is implementing the National Capability-Building Program on Artificial Intelligence (AI) in 2026. This forthcoming program is designed to train the public sector workforce with the goal of building a future-ready Philippine public sector with a strong AI talent base and institutional capacity, enabling innovative, efficient, and citizen-centric governance. As a strategy to deliver this initiative at scale and with consistent quality, DAP, led by the Center for Strategic Futures (CSF), is strengthening its internal capacity through an AI Training of Trainers (ToT) to develop an in-house pool of AI practitioners drawn from its existing technical staff, who will serve as the program’s resource persons, curriculum stewards, and technical leads. This ToT aims to equip selected DAP technical staff with the competencies to: (a) teach AI fundamentals to diverse government audiences; (b) design and implement capability-building programs that integrate AI into sectoral and functional training areas; and (c) lead and support AI project development, from use-case identification and solution design to implementation planning and responsible deployment.

Testing is common in academia and the business world, especially when one wants to make sense of any part of a process in which a variation can lead to differential results. In the industry, the common approach is to change one factor at a time, while holding other factors constant. This can be highly inefficient and may lead to wrong conclusions. In this course, participants will learn how to design, run, and analyze experiments that allow simultaneous testing of all factors. This course imparts practical knowledge of experimental design and analysis by illustrating cases on the real-world implementation of experimentation.

To realize the vision of a healthy and vibrant Philippines ecosystem utilizing Analytics for the good of society, this course is intended to establish a starting point, a common ground for all professionals who want to understand and harness the power of data through Analytics. Using the available online materials, discussion boards, and webinars, the course offers participants a shared definition of Analytics, a set of the major Analytics job families, a globally-recognized list of Analytics skills and competencies, and a professional and organizational maturity model in order to formulate an Analytics strategy roadmap for their organization. The ultimate goal is for the learners to enable the Analytics ecosystem of the Philippines and do Analytics for the good of society.

According to the Asia-Pacific Economic Cooperation (APEC) framework, operational analytics is one of the key competencies required of a data professional, whether one is a data scientist, a data engineer, a data steward, or a functional analyst or manager. This competency is the use of an integrated set of reporting, analytical, and business techniques for the investigation of all relevant data to derive insight for and optimally execute decision-making.

Analysis, models, and business intelligence reports are only as reliable as the data on which they are based. This course will impart knowledge on various technicalities embedded in data management. This course will equip participants with the necessary skills to store, process, organize, update, and disseminate accurate data that supports sound decision-making.

Excel spreadsheet is one of the most vital pieces of software used in workplaces. This course will help you learn the essentials of Microsoft Excel, which you may use in performing calculations, creating visualizations, and formatting spreadsheets. The course will impart skills in operating and navigating the Excel software thereby using it for better efficiency and productivity.

The Project Team will facilitate a workshop focused on developing and organizing the documented information required under ISO 21001:2025 EOMS and aligned to the DAP IMS. This activity aims to establish a standardized, auditable, and accessible set of documents that supports learner-centered education, effective curriculum delivery, compliance with standards, and continuous improvement. During the workshop, participants will work on defining and drafting/engaging all necessary policies, manuals, procedures, records, plans, templates, and monitoring tools, based on the ISO 211001:2025 requirements. Policies will include the EOMS policy, learner support policy, and assessment and evaluation policy, establishing the DAP’s commitment to learner-centered outcomes and inclusivity. Procedures to be established include operational control, such as for recruitment and selection, admission, protection, and transparency of learners’ data, and handling of complaints and appeals. The documented information will reflect the integration of education management with quality environmental and occupational health and safety systems, as applicable. The workshop will employ participatory methods, including interactive sessions, collaborative drafting, and technical guidance from the Project Team, ensuring that all documented information is practical, standardized, and aligned with organizational practices.

A series of orientation sessions will introduce the IMS and its constituent ISO standards, building a shared understanding among DAP personnel of how an integrated approach supports the DAP’s mandate, strategic objectives, operational efficiency, learner-centered education, environmental stewardship, workplace safety and health, and roles in establishing, implementing, and sustaining the IMS.

This course provides the essential principles of writing the most common types of technicaldocuments, such as Minutes of Meetings and Activity Reports. It features a practical approach, consisting mainly of immersive writing exercises on real texts.

This 3-day training aims to strengthen the business writing skills of rank-and-file employees by focusing on the preparation of clear, concise, and properly formatted memos and emails. Aligned with DAP’s official templates and communication standards, the course provides practical exercises to help participants confidently handle day-to-day writing tasks using appropriate tone, structure, and language.

By the end of the training, participants will be able to:

To realize the vision of a healthy and vibrant Philippines ecosystem utilizing Analytics for the good of society, this course is intended to establish a starting point, a common ground for all professionals who want to understand and harness the power of data through Analytics. Using the available online materials, discussion boards, and webinars, the course offers participants a shared definition of Analytics, a set of the major Analytics job families, a globally-recognized list of Analytics skills and competencies, and a professional and organizational maturity model in order to formulate an Analytics strategy roadmap for their organization. The ultimate goal is for the learners to enable the Analytics ecosystem of the Philippines and do Analytics for the good of society.

Excel spreadsheet is one of the most vital pieces of software used in workplaces. This course will help you learn the essentials of Microsoft Excel, which you may use in performing calculations, creating visualizations, and formatting spreadsheets. The course will impart skills in operating and navigating the Excel software thereby using it for better efficiency and productivity.

Take note that this course will end on November 7, 2024, at 11:59 PM.

Python is a general-purpose programming language which enables users to do multiple tasks (e.g. create web applications, scrape web data, make machine learning algorithms), but its written syntax is laid out in a simple and understandable way, making it easy for beginners to pick it up. In this course, fundamental computing concepts such as variables, data types, conditionals, loops, functions, objects, and use of popular data science libraries are discussed. These building blocks will enable participants to create simple applications using Python to help solve data and analytics problems. Python is a general-purpose programming language which enables users to do multiple tasks (e.g. create web applications, scrape web data, make machine learning algorithms), but its written syntax is laid out in a simple and understandable way, making it easy for beginners to pick it up. In this course, fundamental computing concepts such as variables, data types, conditionals, loops, functions, objects, and the use of popular data science libraries are discussed. These building blocks will enable participants to create simple applications using Python to help solve data and analytics problems.

Take note that this course will end on November 10, 2024, at 11:59 PM.