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Full Stack AI Masterclass

2h 36m 58s
English
Paid

Full Stack AI Masterclass is a 8-lesson 2 hours 36 minutes self-paced course by Zen van Riel. Welcome to the “AI Native Engineer: Full-Stack Masterclass” — your guide to developing comprehensive AI systems, from concept to production implementation.

Course facts

Lessons
8
Duration
2 hours 36 minutes
Level
All levels
Language
English
Updated
Instructor
Zen van Riel
Price
Premium

Welcome to the “AI Native Engineer: Full-Stack Masterclass”your guide to developing comprehensive AI systems, from concept to production implementation.

What the Masterclass Includes

During this masterclass, you will learn the process of creating an end product using AI Engineering Tutor as an example — essentially a variant of the system you are already using. The main goal of the course is to learn how to develop complex AI solutions from scratch to the final stage, as professional AI engineers do.

  • Understanding AI application architecture
  • Data processing and integration
  • Logic of AI agents
  • Interaction between frontend and backend
  • Practical approaches to production and real engineering practices

Course Benefits

You will be provided with full access to the project's source code. Along with the instructor, you will study:

  • A comprehensive approach to creating AI systems
  • Configuring and adapting the project to your needs
  • Integrating AI code editors to accelerate development
  • Ways to use the code in your own products

Note: Running the project locally is not required. The focus is on understanding the system as a whole and using the code to create your own solutions.

Who Will Benefit from this Masterclass

This course is ideal for those who aim to successfully start a career as an AI engineer, wish to improve practical skills, and develop real systems. You will be able to:

  • Design and implement AI applications for any tasks
  • Confidently move towards an outstanding career in AI development

Who teaches Full Stack AI Masterclass? Zen van Riel

Zen van Riel thumbnail

I am focused on creating AI systems that truly work in production, rather than remaining at the demo level.

As a software engineer, I work on scaling real AI solutions in production at GitHub, and I also teach developers how to adapt to the future by practically implementing artificial intelligence.

Besides my main work, I am developing AI Native Engineer — my YouTube channel and community, where I share applied AI development skills.

My experience:

  • Over 5 years of developing and implementing cloud solutions
  • Deep expertise in LLMs, cloud architecture, and full-stack AI systems
  • Experience in creating and scaling AI products

I am convinced that the best engineers use AI not only as a tool to accelerate development but also as a foundation for creating new features and AI-native platforms that solve real problems.

What lessons are included in Full Stack AI Masterclass?

This is a demo lesson (10:00 remaining)

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#1: 0 - Intro & Module Goal
All Course Lessons (8)
#Lesson TitleDurationAccess
1
0 - Intro & Module Goal Demo
02:22
2
1 - High-Level Solution Overview
12:43
3
2 - Frontend
13:29
4
3 - Backend
22:57
5
4 - Database & Prompt Engineering
24:59
6
5 - Data Engineering
19:24
7
6 - DevOps & Infrastructure
37:53
8
7 - Monitoring & Logging
23:11
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Frequently asked questions

What are the prerequisites for enrolling in this course?
The course is designed for individuals aiming to start a career as an AI engineer or improve their practical skills in AI system development. While there are no strict prerequisites, a basic understanding of programming, AI concepts, and system architecture would be beneficial to fully grasp the course content.
What kind of project will I work on during the course?
The course involves working on the AI Engineering Tutor project, which serves as a practical example of building comprehensive AI systems. You will explore various aspects such as AI application architecture, data processing, and integration, without the need to deploy it locally.
Who is the target audience for this masterclass?
This masterclass is ideal for those aspiring to become AI engineers, as well as individuals looking to enhance their practical skills in designing and implementing AI applications. It is suitable for beginners and professionals seeking to understand real-world AI system development.
How does this course compare to other AI courses?
This course focuses on the full-stack development of AI systems, covering everything from high-level architecture to backend and frontend integration, database handling, and DevOps. Unlike courses that may focus solely on theory, this one emphasizes practical applications and real engineering practices.
What specific tools or platforms will be covered?
The course covers a range of topics including frontend and backend integration, database and prompt engineering, and DevOps and infrastructure setup. It also discusses integrating AI code editors to boost development efficiency, although specific software tools are not named in the course description.
What is not covered in this masterclass?
While the course provides a comprehensive approach to AI system development, it does not require running the project locally, focusing instead on understanding system architecture and code utilization. It also does not delve into specific AI algorithms or their mathematical foundations.
How much time should I expect to commit to this course?
The masterclass consists of 8 lessons, but the total runtime is not specified in the course description. Given the depth of topics covered, a moderate time commitment is likely required, with additional time for reviewing course materials and engaging with the project source code.