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Gen AI Engineer Bootcamp: Build AI Apps & Agents in Python

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AI Agents · Online Course

Gen AI Engineer Bootcamp: Build AI Apps & Agents in Python Reviews & Product Details

The Gen AI Engineer Bootcamp: Build AI Apps & Agents in Python is designed for developers, data scientists, and tech enthusiasts looking to master the rapidly evolving landscape of generative artificial intelligence. Created by renowned instructor Ardit Sulce, this comprehensive program bridges the gap between basic Python scripting and production-grade AI engineering. Students dive deep into practical implementations of Large Language Models (LLMs) using modern tools like LangChain, Ollama, Gemini, and OpenAI's robust APIs. Throughout this hands-on journey, learners will construct intelligent AI agents from scratch, establish local self-hosted environments with Ollama to ensure data privacy, and architect sophisticated Retrieval-Augmented Generation (RAG) pipelines that connect private document stores to LLMs. The curriculum also emphasizes building persistent memory architectures with vector and SQL databases, automating business processes like spreadsheet manipulation, and creating multimodal systems that analyze both visual and auditory inputs. Whether you are aiming to transition into a dedicated AI engineer role or looking to integrate cutting-edge automations into your current software workflows, this course equips you with the exact technical skills required to build functional, autonomous, and secure AI systems.

Best For

Software developers looking to transition into AI and LLM application engineering. Python programmers who want to master LangChain, RAG pipelines, and vector databases. Tech professionals aiming to build autonomous agents and private, self-hosted AI solutions. Data scientists seeking to integrate generative AI into existing automation workflows.

Not For

Complete beginners with no prior experience in Python programming. Individuals seeking a purely theoretical course on the mathematics of neural networks. Learners looking for a no-code or drag-and-drop AI building experience. Advanced researchers focusing on model training or fine-tuning from scratch.

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