Backed by AWS
Career-focused pathway
AI Engineer Career Programme
Get qualified in 10-12 weeks. Build practical AI, Machine Learning, and Cloud skills.
Most learners complete the programme in around 12 to 15 weeks through structured online learning, hands-on projects, and guided support designed to build job-ready AI Engineering skills.
- Study 2 hours a day to qualify in as little as 12 weeks
- Learn Python, Machine Learning, Prompt Engineering, and AWS cloud technologies
- Build a portfolio of real-world AI projects
Typical AI Engineer salary range in the Netherlands
€55k – €70k
Entry-level and junior AI Engineer roles typically start between €55,000 and €70,000 per year. With experience and career progression, moving into mid-level and senior roles can lead to salaries of €140,000+ or more, depending on the industry and specific responsibilities.
What You’ll Cover
- Industry-recognised AI Engineering training and an AWS certification
- Practical AI projects using industry tools including Hugging Face, Flask, and Streamlit
- Core AI engineering concepts, including machine learning, data analysis, and Python
- Dedicated recruitment support
Contact us to apply
Get in contact with us to find out about our pricing, benefits and more.
By submitting this information you agree to our Privacy Policy and grant us permission to contact you regarding our programmes.
What the AI Engineer Career Programme offers
Programme Overview
This programme is designed to prepare you for entry-level AI Engineering roles. It combines industry-recognised training, practical experience, and full career support.
You’ll gain an AWS certification and develop hands-on experience with Python, Machine Learning, Prompt Engineering, Retrieval-Augmented Generation (RAG), and AI development tools. Through practical projects and assessments, you’ll build the skills needed to develop AI applications, work with data, and contribute to modern AI systems.
No previous experience is needed. If you’re analytical, curious about emerging technologies, and ready for a role focused on AI, automation, and innovation, then this is for you.
Why Choose a AI Engineer Development Career
-
High Demand
AI is transforming industries, and companies need skilled engineers to build and maintain AI systems. The demand for AI engineers is growing across various sectors, including finance, healthcare, and technology.
-
Competitive Salaries
Starting salaries for AI engineers in the Netherlands typically range from €55,000 to €70,000, with the potential to reach €95,000+ as you progress into a senior career path.
-
Diverse Career Paths
AI engineers work across various domains, including AI development, system integration, and machine learning, ensuring ample opportunities in the job market.
-
Global Opportunities
AI engineers are needed globally, and the skills you gain in this programme can open doors to opportunities across Europe and beyond.
Comprehensive Career Support
Your Career Development Journey
Your Career Development Journey
We take support seriously. As you progress through your programme, you will have access to guidance that helps you organise your studies, understand your assessments, and present your new qualifications professionally.
Our support includes personalised feedback from tutors, CV and LinkedIn reviews, and preparation for interviews. You will also gain access to our Student Community, where learners share insight, ask questions, and receive ongoing guidance throughout their studies.
How Has ITOL Recruit
Enhanced
Your Professional Development
We could tell you, but our candidates say it best.
“The agency did an excellent job supporting me throughout my AI Engineer certification. They frequently called to check on my progress and ensure everything was going smoothly. They were also highly responsive to all of my emails and phone calls. I really appreciate their dedication to my learning journey.” – Vivek
AI Engineer Curriculum
What You'll Learn
This programme delivers the industry-recognised certification that employers value in AI Engineering. You will complete your certification, practical projects, and applied assessments, giving you the skills, practical experience, and credential needed to become job-ready.
AI Engineering Fundamentals
This first course is where you will learn how AI works and gain a foundational knowledge of what is involved in AI Engineering. You will learn about different types of AI, including neural networks and large language models, and be introduced to some techniques used for training and fine-tuning models. The course covers essential concepts, including prompt engineering, RAG, vector databases, AI architectures, and foundation models, providing the knowledge needed to understand AI engineering and how modern AI systems work.
Data Fundamentals
This course provides essential knowledge for working with data in AI projects. You will learn about data analysis, different data types and categories, and the complete data workflow from collection through to cleaning. The course provides an understanding of the key skills, knowledge and techniques used to prepare data for AI applications.
Notebooks & IDEs
In this course, you will learn how to use the essential tools for building AI systems. Which include Jupyter notebooks, which are widely used in data science, machine learning, and AI engineering and VS Code, a powerful code editor developed by Microsoft, that has become one of the most popular tools for software development.
Learn GitHub
This course introduces you to GitHub and how it is used to manage projects. You will learn the fundamentals of version control, including how to store, manage, and collaborate on code. You will also use GitHub to organise your projects and build a portfolio of work that demonstrates your AI engineering skills
Lean the Command Line
This course introduces you to the command line and how it is used within development environments. You will learn how to navigate and work with the command line, manage files, run commands, and interact with tools used throughout the programme. You will also become familiar with working from a terminal, giving you a foundation for the development work covered later in the programme.
Python Fundamentals
Python Streamlit Project
At this stage, you will start your first hands-on project that puts your Python skills into practice by building a car price prediction application. You will develop a complete working app using Python and Streamlit, applying the programming fundamentals you’ve learned to create an interactive tool that predicts vehicle prices. This project gives you critical foundational experience in building real-world AI applications.
Python for Data
This course introduces the essential Python libraries used for data manipulation and visualisation in AI projects. You will learn to work with NumPy for numerical computing, Pandas for data analysis and manipulation, and Matplotlib and Seaborn for creating visualisations. These powerful libraries form the foundation of the Python data science toolkit and are crucial for preparing and exploring data in AI engineering.
AI Sentiment Analysis Project
This next project challenges you to build a sentiment analysis movie classification application using real-world AI techniques. You will work with Hugging Face and pre-trained models to create a working classifier, learning how to handle evaluation metrics, confusion matrix heatmaps, and error analysis. The project covers security considerations, edge cases, custom data handling, and finetuning techniques, culminating in an interactive Streamlit application complete with a professional readme and GitHub repository.
AI Prompt Engineering
This course explores the art and science of prompt engineering for working with large language models. You will learn about prompt engineering and how it is used for AI engineering. The course covers system prompts, APIs, and techniques for developing effective prompts that control output and provide context. You’ll learn about strategies including chain of thought reasoning, few-shot and zero-shot learning, context length, as well as defending against prompt attacks.
Retrieval-Augmented Generation (RAG)
This course introduces Retrieval-Augmented Generation (RAG), a powerful technique for enhancing AI applications with external knowledge. You will learn how RAG works, how to build knowledge bases, and explore different RAG architectures. The course covers embeddings, vector databases, and Pinecone, teaching you how to create AI systems that can access and utilise specific information beyond what’s contained in the base model’s training data.
AI Specialised Customer Service Chatbot Project
This comprehensive project-based course brings together prompt engineering and RAG to build a complete AI system from front to back end. You will create a working application that uses vector databases and custom knowledge bases to deliver intelligent responses through carefully crafted prompts. The project covers common architectural patterns for AI applications, teaching you how to integrate RAG pipelines with frontend and backend components to create a production-ready system that leverages external knowledge and contextual information.
Machine Learning Fundamentals
This course provides a comprehensive introduction to machine learning principles and practices. You will learn what machine learning is, explore ML operations, and dive into key concepts like linear regression and different types of ML algorithms. The course covers essential techniques including scikit-learn for training and testing models, scaling and regularization methods, data processing workflows, and handling outliers and encoding. You’ll gain practical understanding of the challenges in machine learning and the foundational skills needed to build effective ML systems.
Machine Learning Project
This project gets you working on basic machine learning tasks in a practical ML project. You will apply fundamental techniques to help build a working model, gaining hands-on experience with techniques around data preparation, training, and evaluation in a real-world context.
AI & Data Ethics
This short course explores the ethical considerations and responsibilities in AI engineering and working with data. You will examine issues like bias in AI systems, data privacy, fairness, transparency, and accountability. The course covers ethical frameworks for decision-making, the societal impact of AI technologies, and best practices for developing AI systems that respect user rights and promote equitable outcomes.
Oral Exam
As part of the AI Engineer Career Programme, you will complete a virtual oral exam to assess your understanding of the programme material and your ability to apply what you have learned in practice.
The oral exam forms part of the overall assessment of the programme.
AWS Certified Cloud Practitioner
As part of this programme, you will complete the AWS Certified Cloud Practitioner course and exam, which forms the final assessment of the programme.
The AWS Certified Cloud Practitioner course introduces learners to core cloud computing concepts and the fundamentals of Amazon Web Services (AWS).
It is designed to provide a broad understanding of how cloud technologies are used in real-world environments.
Career Support
You have built the skills, completed the projects, and earned your
qualifications. Now, it’s time to put it all to work.
Our recruitment team is with you every step of the way, refining your CV,
preparing you for interviews, and providing guidance on job search strategies.
The goal is simple: prepare you for professional success.
Your training got you here. We will help you take the next step.
How We Support Your Career Development
Once you have completed your programme and met all requirements, your focus shifts to positioning yourself in the job market. Our career support is designed to help you present your skills, qualifications, and experience in a professional manner.
You complete your programme
You work through a structured learning pathway aligned to AI Engineering. Certified tutors and student support advisors guide you throughout, helping you progress through your modules, prepare for assessments, and complete practical projects.
Prepare your professional profile
You receive personalised guidance on shaping your CV, refining your LinkedIn presence, and preparing for interviews. This support helps you communicate your new skills clearly and position your qualifications in a way that aligns with industry expectations.
Pursue your next opportunity
With your studies completed and your profile updated, you can now consider opportunities that align with your enhanced professional skill set.
Why Choose ITOL Recruit
The
Benefits
of a Structured Career Development
The right support makes all the difference. At ITOL Recruit, you are backed by industry experts, targeted training, and career guidance designed to get you job-ready.
UK Awarding Bodies
Qualifications delivered through APMG, APM, CIPD, BCS, PeopleCert, CompTIA, Microsoft, AWS, NEBOSH and IOSH. Each certification is selected based on current employer requirements and market demand.
Your Expert Support Team
You will have dedicated support throughout your journey – certified tutors, career mentors, and student advisors. They're here to keep you on track, answer questions, and guide you every step of the way.
Comprehensive Career Preparation
Our recruitment specialists provide CV optimisation, interview coaching, and job search strategies. This team has supported thousands of successful career transitions across AI, tech, business, data, and IT roles.
Hands-On Project Portfolio
Graduate with practical experience through real-world projects that demonstrate your capabilities to employers. Build a professional portfolio that showcases your skills and readiness for your chosen field.
Why study with us?
Our Support Simplified
Study and Career Support
You receive guidance designed to help you progress through your programme and present your new qualification professionally. This includes support with your CV, LinkedIn profile, and interview preparation so you can communicate your skills clearly when exploring opportunities.
-
Career Guidance
Access support that helps you understand how your qualification aligns with roles, including insight into career pathways and professional expectations.
-
Application Preparation
Receive help refining your CV and LinkedIn profile so they reflect your skills, experience, and training accurately.
-
Interview Preparation
Work through common interview themes and expectations for roles, supported by advisors who understand the field.
1:1 Academic Support
You will have access to tutors and learner advisors who help you stay organised, understand your modules, and progress through your exams and/or assessments with clarity.
-
Personalised Guidance
Regular check-ins help you stay on track, identify areas where you need assistance, and work through challenging concepts at your own pace.
-
Exam Preparation
Receive structured exam guidance that focuses on what you need to know, along with support from tutors who understand the training process
-
Focused Study Sessions
Your tutoring sessions are aligned with programme milestones, so you always know what to work on next and how each part connects to your qualification.
Practical Experience
Your programme includes applied learning designed to reflect the real expectations of your chosen career pathway.
-
Applied Learning
Tackle projects that reflect workplace challenges, putting theory into practice. Our practical tasks reflect the same delivery frameworks used in active roles and have helped over 93% of candidates feel more confident in professional interviews.
-
Industry Tools in Action
Work with the same software and platforms used by professionals in your field. You'll use the same processes and procedures, so nothing feels unfamiliar when you start working.
-
Portfolio-Worthy Projects
Create work that proves your skills and makes an impact when applying for roles.
You Ask, We Answer.
Do I need prior experience to join this programme?
No. This programme is designed for beginners and career changers. You’ll start with the fundamentals and progress to more advanced web development concepts, building the skills needed to develop modern websites and applications.
Are the accreditations/certificates internationally recognised?
How will this programme help my career prospects?
Is this programme fully online?
What are the available payment options?
Ready to work? Apply now
Our recruitment advisors offer a free 25-minute consultation to help you make the right choice
By submitting this information you agree to our Privacy Policy and grant us permission to contact you regarding our programmes.
Why choose us?
- Job Guarantee or Your Money Back
- 1-on-1 Support From Tutors, Mentors and Career Coaches
- Hands-On Experience That Builds Your CV
- Practical, Focused, and Designed To Fast-Track Your Career
Ready to work? Apply now
By submitting this information you agree to our Privacy Policy and grant us permission to contact you regarding our programmes.
Why choose us?
- 1-on-1 Support From Tutors, Mentors and Career Coaches
- Hands-On Experience That Builds Your CV
- Practical, Focused, and Designed To Fast-Track Your Career
Career-focused pathway
Backed by AWS
AI Engineer Career Programme
Get qualified in 10-12 weeks. Build practical AI, Machine Learning, and Cloud skills.
Most learners complete the programme in around 12 to 15 weeks through structured online learning, hands-on projects, and guided support designed to build job-ready AI Engineering skills.
- Study 2 hours a day to qualify in as little as 12 weeks
- Learn Python, Machine Learning, Prompt Engineering, and AWS cloud technologies
- Build a portfolio of real-world AI projects
10,000+ ITOL Recruit Graduates Have Launched Exciting Careers
Accelerate Your Earnings
€40k – €55k
Entry-level and junior AI Engineer roles typically start between €55,000 and €70,000 per year. With experience and career progression, moving into mid-level and senior roles can lead to salaries of €140,000+ or more, depending on the industry and specific responsibilities.
What You’ll Cover
- Industry-recognised AI Engineering training and an AWS certification
- Practical AI projects using industry tools including Hugging Face, Flask, and Streamlit
- Core AI engineering concepts, including machine learning, data analysis, and Python
- Dedicated recruitment support
What the in AI Engineering Programme offers
Programme Overview
This programme is designed to prepare you for entry-level AI Engineering roles. It combines industry-recognised training, practical experience, and full career support.
You’ll gain an AWS certification and develop hands-on experience with Python, Machine Learning, Prompt Engineering, Retrieval-Augmented Generation (RAG), and AI development tools. Through practical projects and assessments, you’ll build the skills needed to develop AI applications, work with data, and contribute to modern AI systems.
No previous experience is needed. If you’re analytical, curious about emerging technologies, and ready for a role focused on AI, automation, and innovation, then this is for you.
Why choose a career in AI Engineering
-
High Demand
AI is transforming industries, and companies need skilled engineers to build and maintain AI systems. The demand for AI engineers is growing across various sectors, including finance, healthcare, and technology.
-
Competitive Salaries
Starting salaries for AI engineers in the Netherlands typically range from €55,000 to €70,000, with the potential to reach €95,000+ as you progress into a senior career path.
-
Diverse Career Paths
AI engineers work across various domains, including AI development, system integration, and machine learning, ensuring ample opportunities in the job market.
-
Global Opportunities
AI engineers are needed globally, and the skills you gain in this programme can open doors to opportunities across Europe and beyond.
Comprehensive Career Support
Your Career Development Journey
We take support seriously. As you progress through your programme, you will have access to guidance that helps you organise your studies, understand your assessments, and present your new qualifications professionally.
Our support includes personalised feedback from tutors, CV and LinkedIn reviews, and preparation for interviews. You will also gain access to our Student Community, where learners share insight, ask questions, and receive ongoing guidance throughout their studies.
AI Engineer Curriculum
What You'll Learn
This programme is a proven blueprint for career success. It will transform you from a coding novice to a proficient full-stack developer. This comprehensive curriculum covers the full spectrum of coding practices, from foundational web development to advanced cloud-based applications, with a strong emphasis on practical application.
AI Engineering Fundamentals
This first course is where you will learn how AI works and gain a foundational knowledge of what is involved in AI Engineering. You will learn about different types of AI, including neural networks and large language models, and be introduced to some techniques used for training and fine-tuning models. The course covers essential concepts, including prompt engineering, RAG, vector databases, AI architectures, and foundation models, providing the knowledge needed to understand AI engineering and how modern AI systems work.
Data Fundamentals
This course provides essential knowledge for working with data in AI projects. You will learn about data analysis, different data types and categories, and the complete data workflow from collection through to cleaning. The course provides an understanding of the key skills, knowledge and techniques used to prepare data for AI applications.
Notebooks & IDEs
In this course, you will learn how to use the essential tools for building AI systems. Which include Jupyter notebooks, which are widely used in data science, machine learning, and AI engineering and VS Code, a powerful code editor developed by Microsoft, that has become one of the most popular tools for software development.
Learn GitHub
This course introduces you to GitHub and how it is used to manage projects. You will learn the fundamentals of version control, including how to store, manage, and collaborate on code. You will also use GitHub to organise your projects and build a portfolio of work that demonstrates your AI engineering skills
Lean the Command Line
This course introduces you to the command line and how it is used within development environments. You will learn how to navigate and work with the command line, manage files, run commands, and interact with tools used throughout the programme. You will also become familiar with working from a terminal, giving you a foundation for the development work covered later in the programme.
Python Fundamentals
Python Streamlit Project
At this stage, you will start your first hands-on project that puts your Python skills into practice by building a car price prediction application. You will develop a complete working app using Python and Streamlit, applying the programming fundamentals you’ve learned to create an interactive tool that predicts vehicle prices. This project gives you critical foundational experience in building real-world AI applications.
Python for Data
This course introduces the essential Python libraries used for data manipulation and visualisation in AI projects. You will learn to work with NumPy for numerical computing, Pandas for data analysis and manipulation, and Matplotlib and Seaborn for creating visualisations. These powerful libraries form the foundation of the Python data science toolkit and are crucial for preparing and exploring data in AI engineering.
AI Sentiment Analysis Project
This next project challenges you to build a sentiment analysis movie classification application using real-world AI techniques. You will work with Hugging Face and pre-trained models to create a working classifier, learning how to handle evaluation metrics, confusion matrix heatmaps, and error analysis. The project covers security considerations, edge cases, custom data handling, and finetuning techniques, culminating in an interactive Streamlit application complete with a professional readme and GitHub repository.
AI Prompt Engineering
This course explores the art and science of prompt engineering for working with large language models. You will learn about prompt engineering and how it is used for AI engineering. The course covers system prompts, APIs, and techniques for developing effective prompts that control output and provide context. You’ll learn about strategies including chain of thought reasoning, few-shot and zero-shot learning, context length, as well as defending against prompt attacks.
Retrieval-Augmented Generation (RAG)
This course introduces Retrieval-Augmented Generation (RAG), a powerful technique for enhancing AI applications with external knowledge. You will learn how RAG works, how to build knowledge bases, and explore different RAG architectures. The course covers embeddings, vector databases, and Pinecone, teaching you how to create AI systems that can access and utilise specific information beyond what’s contained in the base model’s training data.
AI Specialised Customer Service Chatbot Project
This comprehensive project-based course brings together prompt engineering and RAG to build a complete AI system from front to back end. You will create a working application that uses vector databases and custom knowledge bases to deliver intelligent responses through carefully crafted prompts. The project covers common architectural patterns for AI applications, teaching you how to integrate RAG pipelines with frontend and backend components to create a production-ready system that leverages external knowledge and contextual information.
Machine Learning Fundamentals
This course provides a comprehensive introduction to machine learning principles and practices. You will learn what machine learning is, explore ML operations, and dive into key concepts like linear regression and different types of ML algorithms. The course covers essential techniques including scikit-learn for training and testing models, scaling and regularization methods, data processing workflows, and handling outliers and encoding. You’ll gain practical understanding of the challenges in machine learning and the foundational skills needed to build effective ML systems.
Machine Learning Project
This project gets you working on basic machine learning tasks in a practical ML project. You will apply fundamental techniques to help build a working model, gaining hands-on experience with techniques around data preparation, training, and evaluation in a real-world context.
AI & Data Ethics
This short course explores the ethical considerations and responsibilities in AI engineering and working with data. You will examine issues like bias in AI systems, data privacy, fairness, transparency, and accountability. The course covers ethical frameworks for decision-making, the societal impact of AI technologies, and best practices for developing AI systems that respect user rights and promote equitable outcomes.
Oral Exam
As part of the AI Engineer Career Programme, you will complete a virtual oral exam to assess your understanding of the programme material and your ability to apply what you have learned in practice.
The oral exam forms part of the overall assessment of the programme.
AWS Certified Cloud Practitioner
As part of this programme, you will complete the AWS Certified Cloud Practitioner course and exam, which forms the final assessment of the programme.
The AWS Certified Cloud Practitioner course introduces learners to core cloud computing concepts and the fundamentals of Amazon Web Services (AWS).
It is designed to provide a broad understanding of how cloud technologies are used in real-world environments.
Career Support
You have built the skills, completed the projects, and earned your
qualifications. Now, it’s time to put it all to work.
Our recruitment team is with you every step of the way, refining your CV,
preparing you for interviews, and providing guidance on job search strategies.
The goal is simple: prepare you for professional success.
Your training got you here. We will help you take the next step.
How Has ITOL Recruit Enhanced Professional Development
We could tell you, but our graduates say it best.
“The agency did an excellent job supporting me throughout my AI Engineer certification. They frequently called to check on my progress and ensure everything was going smoothly. They were also highly responsive to all of my emails and phone calls. I really appreciate their dedication to my learning journey.” – Vivek
How We
Support
Your Career Development
Once you have completed your programme and met all requirements, your focus shifts to positioning yourself in the job market. Our career support is designed to help you present your skills, qualifications, and experience in a professional manner.
-
You complete your programme
You work through a structured learning pathway aligned to AI Engineering. Certified tutors and student support advisors guide you throughout, helping you progress through your modules, prepare for assessments, and complete practical projects.
-
Prepare your professional profile
You receive personalised guidance on shaping your CV, refining your LinkedIn presence, and preparing for interviews. This support helps you communicate your new skills clearly and position your qualifications in a way that aligns with industry expectations.
-
Pursue your next opportunity
With your studies completed and your profile updated, you can now consider opportunities that align with your enhanced professional skill set.
Why study with us?
Our Support Simplified
You receive guidance designed to help you progress through your programme and present your new qualification professionally. This includes support with your CV, LinkedIn profile, and interview preparation so you can communicate your skills clearly when exploring opportunities.
Study and Career Support
You receive guidance designed to help you progress through your programme and present your new qualification professionally. This includes support with your CV, LinkedIn profile, and interview preparation so you can communicate your skills clearly when exploring opportunities.
→ Interview Preparation
Work through common interview themes and expectations for roles, supported by advisors who understand the field.
→ Career Guidance
Access support that helps you understand how your qualification aligns with roles, including insight into career pathways and professional expectations.
→ Application Preparation
Receive help refining your CV and LinkedIn profile so they reflect your skills, experience, and training accurately.
1:1 Academic Support
Practical Experience
Why Choose ITOL Recruit
The
Benefits
of a Structured Career Development
The right support makes all the difference. At ITOL Recruit, you are backed by industry experts, targeted training, and career guidance designed to get you job-ready.
UK Awarding Bodies
Qualifications are delivered through APMG, APM, BCS, PeopleCert, CIPD, CompTIA, Microsoft and AWS. Each one is selected based on current employer requirements.
Comprehensive Career Preparation
Our recruitment specialists provide CV optimisation, interview coaching and job search strategies. This team has supported thousands of successful career transitions across roles in tech, business, data and IT.
Hands-On Project Portfolio
Graduate with practical experience through real-world projects that demonstrate your capabilities to employers. Build a professional portfolio that showcases your skills and readiness for your chosen field.
You Ask, We Answer.
Do I need prior experience to join this programme?
This programme is designed for beginners and career changers. You’ll start with the fundamentals and progress to more advanced web development concepts, building the skills needed to develop modern websites and applications.
Are the accreditations/certificates internationally recognised?
How will this programme help my career prospects?
Is this programme fully online?
What are the available payment options?
Contact Us
Our recruitment advisors offer a free 25-minute consultation to help you make the right choice
By submitting this information you agree to our Privacy Policy and grant us permission to contact you regarding our programmes.
