Get bootcamp-ready and hit the ground running with essential training in basic AI and Machine Learning concepts, including Python fundamentals and AI Ethics. You'll develop your general AI culture and mindset with fundamental knowledge on AI and how to think critically about its use cases.
No matter your previous tech knowledge (or lack thereof), this introductory module will make sure every Ironhacker is set up for success. Start prepping as soon as four weeks before the bootcamp.
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Temario completo de este curso
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.
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.
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.