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Module I: Agentic Artificial Intelligence and Large Language Models

Professional Engineering Training Division

Course Overview: Artificial Intelligence is shifting from static, rule-based models to autonomous, decision-making Agentic AI systems capable of reasoning, using tools, and solving complex business challenges.

The UP National Engineering Center (UP NEC) — Professional Engineering Training Division — invites developers, data scientists, and technology leaders to Data Science and Analytics Certification Program Module I: Agentic Artificial Intelligence and Large Language Models.

This intensive 4-day face-to-face module equips you with foundational knowledge and hands-on skills to design, build, and evaluate real-world Large Language Model (LLM) and Agentic AI applications using leading open-source technologies. By the end of the program, you will have developed and evaluated a working Agentic AI prototype aligned with your organization’s operational needs.

What You Will Learn & Build:

  • Architect Agentic AI Systems: Go beyond simple prompt engineering into state management, multi-agent coordination, and decision loops.
  • Master Open-Source AI Stack: Leverage Python, LangChain, LangGraph, Ollama, and SBERT.net to build self-contained, enterprise-grade AI applications.
  • Deploy Local LLMs: Run local language models securely without sole reliance on external proprietary APIs.
  • Build a Working Prototype: Work through practical exercises culminating in a functional Agentic AI prototype ready for organizational evaluation.

Leading Open-Source Tech Stack Covered:

Technology Application
Python Core programming foundation for modern AI & ML development
LangChain Framework for chaining LLM prompts, memory, and external tools
LangGraph Advanced library for building cyclic, multi-agent graph workflows
Ollama Lightweight tool to run and customize open-weights LLMs locally
SBERT.net Sentence Transformers for dense semantic search and embeddings

Schedule, Modality & Venue:

  • Training Dates: November 9–10 & November 16–17, 2026 (Mondays & Tuesdays | 4 Days total)
  • Modality: Face-to-Face (In-Person Hands-on Training)
  • Venue: UP NEC (Juinio Hall), UP Diliman, Quezon City
  • Training Fee: PHP 18,000.00 per participant

Prerequisites & Hardware Requirements:

To ensure a smooth learning experience, participants must meet the following baseline requirements:

 Prerequisites

  1. Must have taken formal courses on Modern Machine Learning (UP NEC Module D: Predictive Analytics – Machine Learning Module or equivalent).
  2. Must have taken basic or intermediate Python programming (UP NEC Module H: Python for Data Science and Analytics or equivalent).

Required Laptop Specifications:

  • Processor: At least an 8-core processor
  • Memory (RAM): 24–32 GB of RAM or unified memory
  • Storage: Minimum 80 GB of free SSD storage
  • Windows / Linux OS: Optionally includes an NVIDIA GPU with at least 8 GB VRAM
  • Mac OS: Preferably an M1, M2, M3, M4, or newer Apple Silicon processor with at least 24 GB unified memory

How to Register: Slots are limited to ensure personalized, high-touch instruction during laboratory exercises.

  1. Pre-Registration Form: Complete the form at bit.ly/2026NECRegistration
  2. Payment Guidelines: Review payment instructions at bit.ly/2026NECPaymentGuidelines

Have questions or need corporate/group registration details? Reach out to us directly: