Udemy

AI Engineer Masterclass Bootcamp: 21 Courses in 1

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  • 5,117 Students
  • Updated 2/2026
4.4
(03 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
4 Hour(s) 53 Minute(s)
Language
English
Taught by
Creative Online School
Rating
4.4
(03 Ratings)
1 views

Course Overview

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.

Course Content

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

What You’ll Learn

  • 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


Reviews

  • 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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