CF

AI Career Booster

5h 2m 32s
English
Paid

AI Career Booster is a 30-lesson 5 hours 2 minutes self-paced course by Zen van Riel. "AI Career Booster" is a practical career-building system in AI from entry-level to Senior and beyond, without unnecessary theory, only proven strategies.

Course facts

Lessons
30
Duration
5 hours 2 minutes
Level
All levels
Language
English
Updated
Instructor
Zen van Riel
Price
Premium

"AI Career Booster" is a practical career-building system in AI from entry-level to Senior and beyond, without unnecessary theory, only proven strategies.

Who is this course for?

This course is for everyone who wants to develop a career in the AI field and receive job offers. You will understand the landscape of AI professions:

  • AI Engineer, ML Engineer, Data Engineer, MLOps
  • Transition to AI from Software Engineering
  • Roles in security and product development
  • From frontend to fullstack and further into AI

Building a Systemic Career

The course will teach you not only new technologies but also how to build a successful career:

  • How to choose the right role and positioning
  • What skills are in demand in the market
  • How to attract employers to your skills

Professional Environment and Personal Brand

Particular attention is paid to the strategy of professional presence:

  • Correctly setting up your LinkedIn profile
  • Building a personal brand
  • Effective networking and using comments for growth
  • Creating a strong professional positioning

Preparation for Employment

You will receive a step-by-step preparation system:

  • Creating resumes for different levels (Junior / Middle / Senior)
  • Modern resume formats, including AI-friendly approach
  • Checklists and templates

Interview Practice

The course emphasizes practical skills:

  • Behavioral and technical interviews
  • System design for AI and backend roles
  • Algorithms and data structures
  • Individual preparation strategy

Long-term Career in AI

The course also covers long-term perspectives:

  • Building a sustainable career in AI for 10–40 years
  • Growth in income and level of responsibility
  • Transitions between roles and directions
  • Combining job and freelancing

This course is for those who strive not just to enter AI but to create a strong, competitive career with noticeable results. As a result, you will receive a clear action plan, ready-made tools, and an understanding of how to systematically grow from the first offer to the level of Senior and beyond.

Who teaches AI Career Booster? 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 AI Career Booster?

This is a demo lesson (10:00 remaining)

You can watch up to 10 minutes for free. Subscribe to unlock all 30 lessons in this course and access 10,000+ hours of premium content across all courses.

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#1: 001 The AI Native Network
All Course Lessons (30)
#Lesson TitleDurationAccess
1
001 The AI Native Network Demo
01:34
2
002 Software Engineer
05:32
3
003 AI Engineer vs ML Engineer
05:10
4
004 Security Engineer
05:29
5
005 Data Engineer
05:34
6
006 MLOps Engineer vs ML Engineer
06:42
7
007 Frontend to Fullstack Engineer
05:22
8
008 Startups _ Product Engineer
07:15
9
009 Why LinkedIn Is Essential
07:47
10
010 Your AI Engineer Profile
13:41
11
011 Skills That Sell
14:36
12
012 The Featured Section
04:11
13
013 Profile Checklist
04:49
14
014 The Commenting Game
05:12
15
015 Strategic Connections
04:53
16
016 Content Strategy
06:09
17
017 Tier 1 Convert Code To Content
04:16
18
018 Tier 2 Building Your Content Brain
12:14
19
019 Organic LinkedIn Post Writer
04:26
20
020 Tier 3 n8n Content Generation
11:21
21
021 Being Successful At Scale
02:16
22
022 How To Build A 40 Year AI Career
37:54
23
023 The Importance of Confidence In Interviews
07:18
24
024 Level 1 Junior
17:30
25
025 Level 2 Medior
17:46
26
026 Level 3 Senior
18:05
27
027 How To Win At All Interview Stages
25:45
28
028 Crushing the System Design Interview
12:18
29
029 Data Structure _ Algorithm Workshop
25:54
30
030 Your Custom Interview Prep
01:33
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Frequently asked questions

What prerequisites are necessary before enrolling in this course?
The course is designed for individuals transitioning into AI careers, so a background in software engineering or related fields can be beneficial, but not mandatory. The course covers roles from AI Engineer to Data Engineer, and even transitioning from frontend to fullstack development into AI. Basic understanding of programming and software development concepts will help in grasping the advanced topics.
What projects or skills will I work on during the course?
Participants will engage in building a systemic career in AI, focusing on skills that are in demand such as system design for AI and backend roles, algorithms, and data structures. The course includes creating resumes with a modern, AI-friendly format and preparing for behavioral and technical interviews. Additionally, students will learn how to establish a strong professional presence on LinkedIn.
Who is the target audience for this course?
This course is aimed at individuals who are interested in developing a career in AI. It is suitable for those transitioning from roles like software engineering or product development into AI-focused positions, such as AI Engineer, ML Engineer, Data Engineer, and MLOps Engineer. It also caters to those looking to move from frontend to fullstack development within the AI domain.
How does this course compare to other AI career courses?
Unlike many other AI courses that focus heavily on theoretical concepts, this course emphasizes practical career-building strategies and job preparation. It offers guidance on positioning and branding, resume creation, interview practice, and long-term career planning. The course aims to provide a comprehensive view of AI career paths and practical tools for professional growth.
What platforms or tools are emphasized in the course?
The course places significant emphasis on LinkedIn for building a professional presence and personal brand. Lessons cover setting up a LinkedIn profile, strategic connections, and content strategy. Additionally, the course includes practical exercises in system design, algorithms, and data structures, which are crucial for AI and backend roles.
What topics are not covered in this course?
The course does not delve into deep technical theories of AI or machine learning algorithms. Instead, it focuses on practical strategies for career advancement, professional branding, and job preparations. It is not a specialized technical course but rather a career development program within the AI industry.
What is the time commitment required for this course?
The course consists of 30 lessons, each designed to be concise and focused on practical career-building strategies. While the total runtime is not specified, the course is structured to accommodate various learning paces, allowing students to progress through the lessons as per their schedule. The commitment will depend on individual learning speeds and dedication to applying the strategies taught.