2026-09: Advanced AI App Development (Webinar 4)
Section outline
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Advanced AI App Development
A hands-on session on building practical AI applications using open-source models, lightweight deployment approaches, LLM integration, and agentic workflows.
Learning Goals:
- Use open-source AI models through platforms and tools such as Hugging Face and Ollama
- Deploy AI models as APIs or lightweight applications
- Integrate large language models (LLMs) into software applications and workflows
- Design and develop agentic AI applications that can use tools and carry out multi-step tasks
Participants may complete the materials at their own pace. To access the workshop materials, please complete your enrollment through the link below:
→ Register/Enrol in this Course
Participants may also explore and enroll in the previous installments of the DOST-NAIRA AIgnite Academy National AI Capacity Building Program, including courses on AI fundamentals, AI project design, AI application development, and applied AI for professionals:
→ View Previous and Available Courses
Have questions or need help with the workshop materials?
→ Post your questions in the Office Hours Session — Live Q&A and Course Consultation. Participants may raise questions and discuss the course content with the resource speakers and facilitators.
To receive your Certificate of Participation, please complete the Pre-Test, Post-Test, and Training/Workshop Evaluation Form.
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Activities: 1
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Using Open-Source AI Models
A practical guide to finding, running, and choosing open-source AI models, from Hugging Face to your own laptop, with live demos in Ollama and LM Studio and guidance on hardware, licenses, local-language testing, and responsible use.
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[Slide Deck] AI Model Deployment as APIs or Lightweight Apps
A practical guide to deploying trained AI models either as shared APIs or lightweight user-facing applications, including considerations for architecture, access control, scalability, monitoring, cost, and choosing the right deployment approach for a given use case.
Activities: 0 -
Integrating LLMs into Your Applications
Hands-on notebook:
A practical guide to building large language models into your own applications, from how LLMs generate text to integration patterns like retrieval-augmented generation and tool calling, with guidance on model parameters, grounding against hallucination, security, and balancing cost, latency, and quality.
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Agentic AI Application Development
An introduction to agentic AI and how locally controlled AI systems can be designed to support practical applications in startups, research, and community settings.
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After completing the four recorded lectures and course activities at your own pace, you are invited to join a live Office Hours Session for questions, clarification, and informal discussion with the resource speakers and facilitators.
- Date: 15 October 2026
- Time: 1:30 PM - 3:00 PM
- Duration: ~1.5 hours
- Platform: Microsoft Teams meeting
- Meeting link: https://teams.microsoft.com/meet/432199484593302?p=KcWBhgT73ka78NJm1x
Meeting ID: 432 199 484 593 302
Passcode: XD9us3yT
Submit Your Questions in Advance
You may post questions in the Q&A Forum as you work through the recorded lectures and exercises. Submitted questions may be used to help guide the discussion during the Office Hours Session.
You are also welcome to raise questions live during the session. Participation is optional, and you may join simply to listen to the discussion.
We encourage you to complete the available course materials before Office Hours so you can make the most of the live consultation.
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