{"id":14331,"date":"2026-08-10T11:12:20","date_gmt":"2026-08-10T11:12:20","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/udemy-the-complete-full-stack-ai-engineering-bootcamp-2026-5\/"},"modified":"2026-08-10T11:12:20","modified_gmt":"2026-08-10T11:12:20","slug":"udemy-the-complete-full-stack-ai-engineering-bootcamp-2026-5","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/udemy-the-complete-full-stack-ai-engineering-bootcamp-2026-5\/","title":{"rendered":"Udemy \u2013 The Complete Full Stack AI Engineering Bootcamp 2026-5"},"content":{"rendered":"
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Descriptions<\/h2>\n

The Complete Full Stack AI Engineering Bootcamp, Welcome to the step-by-step roadmap to becoming an AI engineer. This course takes you from fundamentals to advanced, real-world AI engineering with a clear learning path: you will build systems, understand why they work, and learn how AI, data, machine learning, deep learning, and LLM engineering connect together into production-grade workflows used in industry.<\/p>\n

Topics and outcomes include Python programming (beginner to advanced) for AI; data representation with vectors and matrices; data visualization, statistics, and feature engineering; SQL and PostgreSQL; supervised and unsupervised machine learning (regression, SVM, decision trees, XGBoost, K-means, DBSCAN); building APIs with FastAPI and running AI apps in Docker; deploying models to production; data engineering fundamentals with Kafka and Spark; deep learning foundations (ANN, CNN, RNN\/LSTM\/GRU) and PyTorch from scratch; NLP fundamentals (tokenization, embeddings) and transformer architecture; LLM engineering including RAG, LangChain, LangGraph, AI agents and LLM workflows; and Model Context Protocol (MCP) with local MCP server and client examples. The course is theory plus hands-on: you will write code, build projects, deploy models, and gain practical, industry-relevant skills to transition your career into AI engineering.<\/p>\n

What you\u2019ll learn<\/h3>\n