UNNES Student Complete LLM Engineer Course

Semarang, Indonesia -- August 7, 2025 -- Nektar Cahayasabda, an undergraduate student of Universitas Negeri Semarang, successfully completed the "LLM Engineering: Master AI, Large Language Models & Agents" course, a comprehensive program designed to equip professionals with advanced skills in the rapidly evolving field of artificial intelligence. This intensive training has solidified the expertise in designing, building, and deploying sophisticated AI solutions leveraging the latest large language models (LLMs) and agentic systems.
The rigorous curriculum provided a deep dive into critical aspects of LLM engineering, including the comparison and application of leading frontier and open-source LLMs, and advanced techniques for optimising LLM performance, such as Retrieval Augmented Generation (RAG), fine-tuning, and sophisticated agentic workflows.
A cornerstone of [Your Name]'s achievement is the successful completion of eight challenging, real-world projects that demonstrate practical application of these cutting-edge concepts:
Project 1: AI-powered brochure generator capable of intelligently scraping and navigating company websites.
Project 2: Multi-modal customer support agent for an airline, featuring a user interface and advanced function-calling capabilities.
Project 3: Tool for generating meeting minutes and action items from audio, utilising both open- and closed-source models.
Project 4: AI for converting Python code to optimised C++, demonstrating a remarkable performance boost of up to 60,000x.
Project 5: AI knowledge-worker built using RAG, designed to become an expert on all company-related matters.
Project 6: Capstone Part A -- Price prediction from short product descriptions using Frontier models.
Project 7: Capstone Part B -- Fine-tuned open-source model executed to compete with Frontier models in price prediction.
Project 8: Capstone Part C -- Autonomous multi-agent system collaborating with models to identify and notify users of special bargains.
"[Your Name] now possesses a robust understanding of the LLM landscape, coupled with the practical ability to implement complex AI solutions," stated [Your Name]. "This course has been transformative, providing me with the tools and methodologies to develop intelligent agents and systems that can revolutionise various industries, from customer support to code optimisation and data analysis. I am particularly excited about the potential of multi-agent systems and leveraging LLMs for autonomous decision-making."
This accomplishment positions Nektar as a highly skilled LLM Engineer, ready to tackle complex challenges in AI research and development, product innovation, and strategic implementation of large language models across diverse sectors.