Udemy

AI Engineer Masterclass Bootcamp: 21 Courses in 1

立即報名
  • 5,117 名學生
  • 更新於 2/2026
4.4
(03 個評分)
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課程資料

報名日期
全年招生
課程級別
學習模式
修業期
4 小時 53 分鐘
教學語言
英語
授課導師
Creative Online School
評分
4.4
(03 個評分)

課程簡介

AI Engineer Masterclass Bootcamp: 21 Courses in 1

Master AI from scratch! 21 courses in 1 covering Python, ML, Deep Learning, NLP & real-world projects

The AI Engineer Masterclass Bootcamp: 21 Courses in 1 is a comprehensive, step-by-step training program designed to transform absolute beginners into confident, job-ready AI engineers. Whether you're starting from scratch or transitioning from another field, this bootcamp guides you through the entire AI engineering journey—covering data processing, machine learning, deep learning, MLOps, and real-world AI deployment.

You’ll begin with the fundamentals: Python programming, essential mathematics, and the foundations of data science. From there, you’ll progress into machine learning algorithms, neural networks, and modern generative AI systems. Every lesson is practical and project-driven, ensuring you learn by building rather than memorizing.

What sets this bootcamp apart is its full-stack approach. You’ll not only learn how to train models but also how to integrate them into applications, optimize their performance, and deploy them using industry-standard tools such as FastAPI, Docker, and cloud platforms. You’ll explore the full lifecycle of AI systems—from data collection and model development to version control, CI/CD pipelines, and monitoring in production.

By the end of the program, you will have built multiple portfolio-ready AI projects, including chatbots, predictive models, computer vision apps, and generative AI tools. You’ll understand how real AI engineers think, work, and solve problems—giving you the skills and confidence to pursue AI engineering roles or build your own AI-powered solutions.

This bootcamp is your complete, beginner-friendly path to entering one of the most exciting and in-demand fields today.

課程章節

  • 15 個章節
  • 101 堂課
  • 第 1 章 Base of AI Engineer: Role, Skills and Roadmap
  • 第 2 章 History of AI
  • 第 3 章 Traditional Search vs Semantic Search: In Depth Analysis
  • 第 4 章 Deep understanding of AI components
  • 第 5 章 LLM SDKs
  • 第 6 章 Understanding Embeddings & Vector Databases
  • 第 7 章 Project: AI Chatbot for Your Website: PHP + MongoDB + Vector Search + LLM
  • 第 8 章 Project: Smart Resume Analyzer + AI Job Matcher :MongoDB + PHP + LLM + RAG
  • 第 9 章 AI‑Driven API Development Using FastAPI
  • 第 10 章 FastAPI based Practical Project
  • 第 11 章 AI API Development: Worknig with MySQL Advanced Concepts
  • 第 12 章 AI API Development: Database Programming with Python
  • 第 13 章 AI API Development: Working with HTML
  • 第 14 章 AI API Development: Working with CSS
  • 第 15 章 AI API Development: Working with jQuery

課程內容

  • Will learn base concepts of Artificial Intelligence, Will grow expertise in Machine Learning, Will grow expertise in Deep Learning, Will be able to develop AI driven APIs


評價

  • T
    Trần Đinh Xuân Thành
    4.0

    This is a well-organized course. I love the documentaries that are attached to each lecture, it helps saving the time of students to summarize the content of the all lectures. The exercises, assignments are well-instructed line-by-line in those documents. Students must read the papers to understand, to be able to complete the hands-on labs.

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