Career-focused pathway
Backed by AWS
AI Engineer Career Programme
Get qualified in 3-6 months. Build practical AI Engineering skills.
Most students complete the programme within 3 to 6 months. The programme includes structured online study, guided technical projects, and support designed to build real-world AI engineering capability aligned with employer expectations.
- Study 2 hours a day to qualify in 3-6 months
- Build practical skills across AI engineering, machine learning, and applied Python
- Build a project portfolio aligned with AI engineering roles
Our platform is more than just a job portal, it’s a dynamic space where dreams take flight and companies find their next start performers.
€45k - €55k
Average starting salary of our students. Many candidates progress to €55,000+ roles within 18 – 24 months.
What You’ll Cover
- Core AI engineering concepts, including machine learning, data analysis, and Python for AI
- Practical Training with Tools Like Python Programming, Data Handling & Processing, Machine Learning and Version Control with Git & GitHub
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 Job Programme offers
Programme Overview
AI engineering is a rapidly growing field, and skilled professionals are in high demand. This programme is designed to help you gain practical AI skills in a structured, focused way. You will learn how to build, deploy, and manage AI systems, concentrating on the most valuable skills in the job market.
Through the combination of interactive learning, practical projects, and recruitment support, you will complete the programme prepared for work. Whether you are new to AI engineering, transitioning from a data analyst role, or moving from software engineering, you’ll acquire the expertise needed to succeed in high-value AI engineering roles.
Why Choose a Career in AI?
-
High Demand
Artificial intelligence continues to play an increasingly important role across European organisations. Businesses across technology, finance, healthcare, logistics, and research rely on AI engineers to develop, maintain, and improve intelligent systems, creating sustained demand for skilled professionals.
-
Competitive Salaries
AI engineering roles in the Netherlands offer strong earning potential. Entry-level and junior positions typically start between €45,000 and €55,000, with progression into €70,000+ roles as experience and technical expertise develop.
-
Diverse Career Paths
AI engineering skills are applicable across a wide range of roles, including machine learning engineering, applied AI development, data-focused engineering, and system integration. This flexibility allows professionals to move between industries and technical specialisms as their careers progress.
-
Global Opportunities
AI engineering skills are in demand internationally. The knowledge and experience gained through this programme support career opportunities across Europe and global technology markets.
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
How Has ITOL Recruit Enhanced Professional Development?
We could tell you, but our candidates say it best.
“I thought the programme was absolutely brilliant. All the videos were explained so well and the course material was great too. The certifications and practical experience gave me the confidence I needed in interviews.” – Abi
Data Analyst Diploma Cirriculum
What You'll Learn
In just 3 months, you will gain the technical skills, hands-on experience, and strategic thinking needed to succeed as an AI engineer. By completing a series of mini-projects, you will work with real-world data, developing a strong portfolio demonstrating your abilities to employers.
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.
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 Git Hub repository.
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.
Python Fundamentals
This course teaches you the essential Python programming skills needed for AI engineering. You will learn Python basics, including operators, conditionals, and loops, then progress to working with data structures like lists, tuples, arrays, dictionaries, and sets. You will learn how to use methods, list comprehension, and lambda expressions, along with essential principles like inheritance, polymorphism, encapsulation, abstraction and object-oriented programming (OOP).
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 Git Hub 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
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
Recruitment
You’ve 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 connecting you with exclusive job opportunities. The goal is simple, get you hired. And if you don’t land a role within the guarantee period, you get your money back.
Your training got you here. We’ll 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 your chosen field. Certified tutors and student support advisors guide you throughout, helping you progress through your modules, prepare for exams, and complete assignments.
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 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 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.
Why study with us?
Our Support Simplified
Success isn’t just about what you learn, it’s about the support you have along the way. At ITOL Recruit, we make sure you’re never figuring things out alone.
Recruitment Support
Personalised career guidance, CV reviews, and interview preparation to help you secure a role.
-
Exclusive Job Opportunities
Access employer partnerships and job openings that aren’t available to the public. We’ve placed over 620 candidates in the last 12 months, including roles with local councils and the private sector.
-
Tailored Career Coaching
Get personalised job search strategies, application guidance, and interview prep. On average, our recruitment team secures over 1,200 interviews for job-ready candidates over a period of 90 days.
-
CV & LinkedIn Optimisation
Make a strong first impression with a polished CV and a LinkedIn profile that stands out. Candidates who complete the full Recruitment Support process are 5x more likely to land an interview.
1:1 Mentoring
Regular, dedicated sessions with an experienced mentor who understands your goals and keeps you on track.
-
Personalised Guidance
Tailored advice from a mentor who understands your challenges and supports you throughout the process. Weekly check-ins help maintain momentum, identify support needs early, and provide hands-on help with everything from project work to preparing projects for applications and interviews.
-
Exam Prep
We provide structured preparation that covers exactly what you need to know. You’ll work with tutors who understand the exam process and know how to get you through it. Our candidates consistently achieve a 90% pass rate, and the goal is always the same: get you certified and ready to work.
-
Goal-Oriented Sessions
Focused, structured sessions designed to develop the skills and confidence needed to progress. Sessions are aligned with programme milestones, ensuring you are always moving toward qualification and job readiness.
Practical Experience
Hands-on projects designed to mirror real-world tasks, ensuring you graduate with skills you can apply from day one.
-
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 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
Complete a series of structured AI engineering projects that will become the cornerstone of your professional portfolio. Each project is designed to demonstrate your ability to build and deploy AI models, solve complex problems, and apply machine learning techniques to real-world scenarios. These projects will showcase your skills to potential employers, making you a standout candidate for AI engineering roles.
You Ask, We Answer.
Do I need experience to join this programme?
No. Designed for complete beginners and career changers. If you can use a computer, you can do this.
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 3-6 months. Build practical AI Engineering skills.
Most students complete the programme within 3 to 6 months. The programme includes structured online study, guided technical projects, and support designed to build real-world AI engineering capability aligned with employer expectations.
- Study 2 hours a day to qualify in 3-6 months
- Build practical skills across AI engineering, machine learning, and applied Python
- Build a project portfolio aligned with AI engineering roles
10,000+ ITOL Recruit Graduates Have Launched Exciting Careers
Accelerate Your Earnings
€55,000 - £55,000
Entry-level and junior AI engineering roles typically start between €45,000 and €55,000 per year. With experience and specialisation, progression into mid-level and senior roles can lead to salaries of €70,000+ or more, depending on the sector and technical focus.
What You’ll Cover
- Core AI engineering concepts, including machine learning, data analysis, and Python for AI
- Practical projects using real-world AI tools and frameworks like Hugging Face, Flask and Streamlit
What the AI Engineer Career Programme offers
Programme Overview
AI engineering is a rapidly growing field, and skilled professionals are in high demand. This programme is designed to help you gain practical AI skills in a structured, focused way. You will learn how to build, deploy, and manage AI systems, concentrating on the most valuable skills in the job market.
Through the combination of interactive learning, practical projects, and recruitment support, you will complete the programme prepared for work. Whether you are new to AI engineering, transitioning from a data analyst role, or moving from software engineering, you’ll acquire the expertise needed to succeed in high-value AI engineering roles.
Why Choose a Career in AI?
-
High Demand
Artificial intelligence continues to play an increasingly important role across European organisations. Businesses across technology, finance, healthcare, logistics, and research rely on AI engineers to develop, maintain, and improve intelligent systems, creating sustained demand for skilled professionals.
-
Competitive Salaries
AI engineering roles in the Netherlands offer strong earning potential. Entry-level and junior positions typically start between €45,000 and €55,000, with progression into €70,000+ roles as experience and technical expertise develop.
-
Diverse Career Paths
AI engineering skills are applicable across a wide range of roles, including machine learning engineering, applied AI development, data-focused engineering, and system integration. This flexibility allows professionals to move between industries and technical specialisms as their careers progress.
-
Global Opportunities
AI engineering skills are in demand internationally. The knowledge and experience gained through this programme support career opportunities across Europe and global technology markets.
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
In 12 weeks, you’ll develop both the technical expertise and strategic thinking needed to succeed as a data analyst. Through 30 mini-projects, you’ll work with real-world data, building a portfolio that proves your skills.
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.
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 Git Hub repository.
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.
Python Fundamentals
This course teaches you the essential Python programming skills needed for AI engineering. You will learn Python basics, including operators, conditionals, and loops, then progress to working with data structures like lists, tuples, arrays, dictionaries, and sets. You will learn how to use methods, list comprehension, and lambda expressions, along with essential principles like inheritance, polymorphism, encapsulation, abstraction and object-oriented programming (OOP).
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 Git Hub 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
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
Recruitment
You’ve 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 connecting you with exclusive job opportunities. The goal is simple, get you hired. And if you don’t land a role within the guarantee period, you get your money back.
Your training got you here. We’ll help you take the next step.
How Has ITOL Recruit Enhanced Your Professional Development?
We could tell you, but our candidates say it best.
“I thought the programme was absolutely brilliant. All the videos were explained so well and the course material was great too. The certifications and practical experience gave me the confidence I needed in interviews.” – Abi
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 your chosen field. Certified tutors and student support advisors guide you throughout, helping you progress through your modules, prepare for exams, and complete assignments.
-
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
Success isn’t just about what you learn, it’s about the support you have along the way. At ITOL Recruit, we make sure you’re never figuring things out alone.
Recruitment Support
Personalised career guidance, CV reviews, and interview preparation to help you secure a role.
→ Exclusive Job Opportunities
Access employer partnerships and job openings that aren’t available to the public. We’ve placed over 620 candidates in the last 12 months, including roles with local councils and the private sector.
→ Tailored Career Coaching
Get personalised job search strategies, application guidance, and interview prep. On average, our recruitment team secures over 1,200 interviews for job-ready candidates over a period of 90 days.
→ CV & LinkedIn Optimisation
Make a strong first impression with a polished CV and a LinkedIn profile that stands out. Candidates who complete the full Recruitment Support process are 5x more likely to land an interview.
1:1 Mentoring
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 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 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 experience to join this programme?
No. Designed for complete beginners and career changers. If you can use a computer, you can do this
How will this programme help my career prospects?
Is this programme fully online?
What are the available payment options?
Is this programme fully online?
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.
