Ingeniería en Inteligencia Artificial

• Python and AI Engineering Essentials

This module kicks off the AI Engineering course with a focus on Python programming, diving into core programming concepts, object-oriented principles, and the best practices of software engineering. Students will explore essential AI and machine learning libraries like TensorFlow and PyTorch and acquire key data handling skills through SQL for effective data collection, cleaning, and preprocessing.

• NLP, Machine Learning, and Prompting Foundations

This module delves into Natural Language Processing (NLP), offering foundational insights into text analysis and machine learning basics, including the strategic use of Large Language Models (LLMs) and prompt design. It equips students with advanced prompt engineering techniques so you can get exactly the answers or content you want from AI tools like ChatGPT. You'll also explore augmenting LLMs with external information sources for enhanced AI interactions, setting a robust groundwork for sophisticated AI application development. It's all about making AI work smarter for you.

• Advanced Chatbot Development and Open-source LLM Integration

The final module dives into advanced chatbot design and development, covering conversational AI features that show you how to make AI understand emotions in text and addressing challenges with Large Language Models (LLMs). It further explores the open-source LLM ecosystem, teaching you which model to choose to make sure it fits what you need and how to deploy it. Besides the technical skills, this module boosts your ability to communicate, think critically, and work well in teams, all super important for rocking it in the AI world.