This course is based on the practical experience of a senior engineer who developed AI solutions used by thousands of people. You will receive a comprehensive set of tools and approaches tested in real projects—from the initial prototypes to full production deployment. Throughout the training, you will progressively master this toolkit and learn to apply it in practice. The main focus is not on specific tools, which change quickly, but on a fundamental understanding of how the key components of AI systems interact with each other. These fundamental principles will remain relevant for years to come.
AI Roadmap
1h 49m 6s
English
Paid
AI Roadmap is a 2-lesson 1 hour 49 minutes self-paced course by Zen van Riel. This course is based on the practical experience of a senior engineer who developed AI solutions used by thousands of people.
Course facts
- Lessons
- 2
- Duration
- 1 hour 49 minutes
- Level
- All levels
- Language
- English
- Updated
- Instructor
- Zen van Riel
- Price
- Premium
Who teaches AI Roadmap? Zen van Riel
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 AI Roadmap?
0:00
/ #1: The Complete Toolkit
All Course Lessons (2)
| # | Lesson Title | Duration | Access |
|---|---|---|---|
| 1 | The Complete Toolkit Demo | 46:18 | |
| 2 | My Case Study Copilot in GitHub Support | 01:02:48 |
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Frequently asked questions
What prior knowledge is required to take this course?
The course is designed for individuals with a basic understanding of artificial intelligence concepts. Since the focus is on a fundamental understanding of key components of AI systems, some familiarity with AI terminology and principles is recommended. However, the course emphasizes practical experience and application, making it accessible to those looking to deepen their understanding of AI systems.
What will I build during the course?
During the course, you will work on developing AI solutions that can be transitioned from initial prototypes to full production deployment. The course provides a toolkit and approaches that are applicable in real-world projects, as demonstrated in the 'My Case Study Copilot in GitHub Support' lesson, which involves practical application of AI solutions.
Who is the target audience for this course?
The course is targeted at individuals who are interested in gaining practical experience in developing AI solutions. It is suitable for both beginners who have a basic understanding of AI and experienced professionals looking to enhance their toolkit with approaches that have been tested in real AI projects.
How does this course compare to other AI courses in terms of depth and scope?
Unlike many AI courses that focus on rapidly changing tools, this course emphasizes a fundamental understanding of AI system components and their interactions. This approach ensures that the knowledge gained remains relevant over time. The course provides a comprehensive toolkit for practical application, making it distinctive in its focus on long-term applicability rather than current trends.
What specific tools or platforms are covered in the course?
The course does not focus on specific tools or platforms. Instead, it provides a toolkit and approaches that are applicable across various technologies. This approach is based on the idea that tools can change quickly, but the fundamental principles of AI system interactions are enduring and crucial for developing robust AI solutions.
What topics are not covered in this course?
The course does not cover specific AI tools or platforms in detail, as its primary focus is on understanding how AI system components interact at a fundamental level. This means you won't find step-by-step instructions for using a particular AI tool or software package. Instead, the course prepares you to adapt and apply your learning to a variety of tools and environments.
How much time should I expect to commit to this course?
The course comprises two lessons, 'The Complete Toolkit' and 'My Case Study Copilot in GitHub Support.' While the total runtime is not specified, students should allocate enough time to engage fully with the materials and practical applications presented in each lesson. The time commitment will vary depending on your familiarity with AI concepts and your pace of learning.