AI Engineer Bootcamp 2026: LLMs, RAG, AI Agents & Vector DBs

Led by seasoned software engineer Paulo Dichone, the AI Engineer Bootcamp 2026 offers an intensive, hands-on path to mastering modern artificial intelligence development. Designed for developers eager to transition into the rapidly growing field of AI engineering, this comprehensive curriculum bridges the gap between conceptual machine learning and production-ready software systems. Students will dive deep into building advanced Retrieval-Augmented Generation (RAG) pipelines, enabling applications to search and process complex PDF documents and multimodal data. Throughout the course, learners gain practical experience with essential tools like LangChain, working with embedding techniques, vector databases, and sophisticated retrievers. Beyond simple APIs, the curriculum covers the deployment of autonomous AI agents capable of executing multi-step workflows. Aspiring engineers will also learn the nuances of fine-tuning large language models using OpenAI and LoRA techniques to align outputs with specific business needs. By the end of this practical bootcamp, students will have built a portfolio of real-world AI applications, equipping them with the highly sought-after skills needed to design, optimize, and deploy scalable AI solutions in today's competitive tech landscape.