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Advanced AI for Professionals

A hands-on session on deep learning, large language models, and the engineering practices that carry AI systems from training to production.

Learning Goals:

• Build and train neural networks in PyTorch, and apply data augmentation to improve how well a model generalizes
• Explain how convolutional and transformer architectures are applied to computer vision, and when transfer learning is the right choice
• Understand how large language models are built, adapted, and applied
• Weigh quantization, pruning, and distillation against latency, cost, and hardware constraints, and package a model for reliable serving
• Design a data pipeline from ingestion through feature serving, with the validation, lineage, and drift monitoring that keep it trustworthy
• Plan how an AI system is operated and evolved after deployment, using MLOps principles and maturity levels as a guide

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 Q&A Forum and 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.