AI Engineer Career Programme
Methods of delivery offered:
Why Choose Us
Artificial intelligence is changing how organisations automate processes, analyse information, develop digital products, and solve complex problems. Behind these systems are professionals who understand how programming, data, machine learning, and generative AI technologies work together.
Our AI Engineer Career Programme gives you a clear, structured pathway from the fundamentals of artificial intelligence and Python programming through to machine learning, prompt engineering, Retrieval-Augmented Generation (RAG), and practical AI application development
What’s Included
In Your AI Engineer Career Programme
Your AI Engineer Career Programme will help you understand how modern AI systems work before progressively developing the programming, data, machine learning, and generative AI skills needed to start building them.
Don’t Take Our Word For It
Hear it from our students
With a consistently high TrustScore and thousands of glowing reviews, many of our learners praise our expert support, exceptional service, and the premium standard we set in self-paced learning.
Guaranteed 1:1 Tutor & Mentor Support
Your journey will start with a designated expert support team to guide and motivate you throughout your studies.
- Personalised Support: Get direct access to a qualified tutor as your first point of contact for any course-related questions or challenges.
- Custom Study Plans: Stay on track with a personalised study schedule that accommodates your pace and career goals.
- Ongoing Motivation: Your mentor is your personal cheerleader; they help you stay focused and motivated to succeed.
Experience true student support with ITonlinelearning!
Live Exam Prep Sessions
Approach your AWS certification exam and programme assessments with greater confidence through individual preparation and course-content revision.
- 1:1 Sessions with Certified Tutors: Receive support reviewing course content, working through difficult areas, and identifying topics that may need further revision before your assessment.
- Review Exam Techniques & Practice Questions: Develop a clearer understanding of how to approach exam questions, recognise important information, and apply your knowledge under assessment conditions.
Our tutor-led preparation helps you move into your assessments with a clearer understanding of both the subject matter and what will be expected of you.
Build Real AI Applications
Throughout your programme, you’ll move from learning individual concepts to applying them within working applications and realistic technical projects.
- Progressive Project Experience: Build projects including a car price prediction application, sentiment analysis application, specialised customer service chatbot, and machine learning solution.
- Modern AI Tools: Gain experience with technologies and libraries including Jupyter Notebooks, VS Code, Streamlit, Hugging Face, scikit-learn, NumPy, Pandas, and vector database technologies.
- Connect the Technologies: Learn how programming, data preparation, machine learning, prompting, RAG, model evaluation, and application development can work together within AI systems.
By the end of the programme, you won’t have only studied AI engineering concepts – you’ll have repeatedly applied them as part of your learning journey.
Recruitment Support
We don’t just prepare you for exams. We also help you land the role you’ve been working towards with dedicated recruitment services that make a difference in your journey towards being hired.
- CV & LinkedIn Review: Stand out to employers with a professionally optimised CV and a LinkedIn profile that highlights your new skills and certifications.
- Interview Preparation: Get expert guidance on interview techniques, job search strategies, and coaching on how to stand out in the competitive business analysis job market.
- Job Application Assistance: We know what it takes to get hired, and we’ll guide you through the application process with feedback to ensure you present yourself as the best candidate for the job.
Our Recruitment Support Service is designed to help you transition from student to professional with the confidence to go after roles that truly match your ambitions.
What You’ll Learn
AI engineering brings together several technical disciplines: you need to understand artificial intelligence itself, but also the programming, data, machine learning, development tools, cloud concepts, and responsible practices that allow AI applications to be built effectively. This programme takes you through those skills progressively, starting with the foundations before moving into practical projects and more advanced AI engineering techniques.
If you want to change your career and learn new skills ITonlinelearning delivers on its promises. I was given all the course material I paid for, I had an online tutor. When I passed all the exams necessary for a career change a career advisor supported me all the way, until I managed to change my job.
AI Engineering Fundamentals
Info & Overview
Understand how artificial intelligence works and what AI engineering involves. You’ll explore neural networks, large language models, model training and fine-tuning, alongside introductory concepts including prompt engineering, RAG, vector databases, AI architectures, and foundation models.
Data Fundamentals
Info & Overview
Learn why data matters within AI engineering, including different data types and categories and the process of moving from data collection through to cleaning and preparation for AI applications.
Notebooks & IDEs
Info & Overview
Get familiar with Jupyter Notebooks and Visual Studio Code, two development environments you’ll use as you begin working more extensively with programming, data, machine learning, and AI applications.
Python Fundamentals
Info & Overview
Build the programming foundations required for AI engineering. You’ll progress from operators, conditionals, and loops into data structures, methods, list comprehensions, lambda expressions, and object-oriented programming principles.
Python Streamlit Project
Info & Overview
Put your Python skills into practice by developing an interactive car price prediction application using Python and Streamlit, giving you your first opportunity to bring individual programming concepts together within a working application.
Python for Data
Info & Overview
Develop the skills needed to work with data using Python libraries including NumPy, Pandas, Matplotlib, and Seaborn, covering numerical computing, data manipulation, analysis, and visualisation
AI Sentiment Analysis Project
Info & Overview
Develop a movie sentiment classification application using Hugging Face and pre-trained models. You’ll explore model evaluation, error analysis, fine-tuning, security considerations, and Streamlit application development while creating a practical AI solution.
AI Prompt Engineering
Info & Overview
Learn how prompts are designed to work effectively with large language models. Explore system prompts, APIs, contextual information, few-shot and zero-shot techniques, context length, and methods for protecting AI applications against prompt-based attacks.
Retrieval-Augmented Generation (RAG)
Info & Overview
Explore how RAG allows AI applications to retrieve and use external information. You’ll learn about knowledge bases, embeddings, vector databases, RAG architectures, and technologies such as Pinecone.
AI Specialised Customer Service Chatbot Project
Info & Overview
Bring your prompt engineering and RAG knowledge together by developing a complete AI customer service application using vector databases and a customised knowledge base while connecting frontend, backend, prompting, and information-retrieval components.
Machine Learning Fundamentals
Info & Overview
Build an understanding of machine learning principles including linear regression, algorithm types, training and testing with scikit-learn, scaling, regularisation, data processing, outliers, and encoding.
Machine Learning Project
Info & Overview
Apply your machine learning knowledge within a practical workflow involving data preparation, model training, and evaluation, helping you understand how individual machine learning techniques come together during model development.
AI & Data Ethics
Info & Overview
Explore the responsibilities involved in developing AI, including bias, privacy, fairness, transparency, accountability, ethical decision-making, and the wider impact AI systems can have on users and organisations.
Virtual Oral Assessment
Info & Overview
Demonstrate your understanding of the programme through a virtual oral assessment that evaluates your knowledge and your ability to explain how the concepts you have learned can be applied in practice.
AWS Certified Cloud Practitioner
Info & Overview
Develop your understanding of core cloud computing concepts and Amazon Web Services before completing the AWS Certified Cloud Practitioner certification exam, adding recognised validation of your foundational AWS Cloud knowledge to your AI engineering pathway.
Career and Progression Prospects
Your programme develops a combination of programming, data, machine learning, generative AI, cloud, and practical application-development skills to help you begin pursuing opportunities within this developing field.
Here are just a few roles you could work towards:
Junior AI Engineer
AI Developer
AI Systems Developer
Generative AI Developer
AI Engineer
AI Software Engineer
Machine Learning Technician
Junior Machine Learning Engineer
What you could earn
We want to help you achieve the best outcome in your studies so you can flourish in your desired path.
£40k-£50k
per year
Junior AI Engineer
£50K–£65K
per year
AI Software Engineer
£65K–£85K
per year
Senior AI Engineer
Included with your course.
Stay on track with direct access to expert recommendations, general support, and answers to all your questions. Kick-start your course with a 45-minute guidance session within 1-week of enrolment, followed by regular monthly check-in emails. You can also request a live session with your trainer halfway through the course.
Connect with a thriving community of certified business analysis tutors and current students to exchange essential course tips and industry-specific insights to help you along your journey.
Get personalised interview coaching from qualified professionals who know what employers are looking for to secure your dream job!
Stay motivated throughout your learning journey with a personal study coach who provides all the ad-hoc support you need to succeed in your certification.
Access 1-hour exam preparation support before each exam with a qualified trainer to revise and explore specific exam techniques, approaches to exam questions, keyword identification, and review of essential practice questions.
After successful certification, our expert recruitment team will help you optimise your CV and LinkedIn profile to stand out to potential employers.
Get instant help when you need it! Our live chat team is always ready to assist with prompt, real-time responses and when not available, you’ll have an interactive 24/7 AI tutorbot standing by for immediate answers.
While you can finish the course in less time, we still want you to study at your own pace with 12 months of full access to your course materials; giving you plenty of time to revisit the content whenever you need.
AI Engineer Career Programme Frequently Asked Questions
You have questions, and we have all the answers
The programme is suitable for beginners, career changers, graduates, school leavers, and professionals who want to develop practical skills in artificial intelligence and AI engineering.
No previous AI engineering experience is required. The programme begins with foundational AI, data, and Python concepts before progressing into machine learning, generative AI, RAG, and practical application development.
No. There are no formal prerequisites for the programme. Python Fundamentals starts by introducing core programming concepts before progressing into data structures and object-oriented programming, helping you build the programming foundation needed for the more technical stages of the programme.
Yes. You’ll have 12 months’ access to your programme, allowing you to work through the training around your own schedule. Although the programme can typically be completed in 3–6 months, your full access period gives you additional flexibility to revisit topics and progress at a pace that suits your existing commitments.
Learners would typically work through the programme within 3–6 months, depending on the amount of time they can dedicate to studying, practical work, and assessment preparation. You will have access to your programme for a total of 12 months.
The programme includes the AWS Certified Cloud Practitioner certification, awarded by Amazon Web Services. The certification validates foundational knowledge of AWS Cloud concepts, services, and terminology and forms the external certification component of the programme.
You will build your knowledge through practical courses and projects before completing a virtual oral assessment that evaluates your understanding and ability to explain how your learning can be applied in practice. You will also sit the official AWS Certified Cloud Practitioner (CLF-C02) certification exam. This is a 90-minute exam containing 65 multiple-choice or multiple-response questions, with a minimum scaled passing score of 700.
Practical work forms a central part of the programme. You’ll develop applications and complete projects involving car price prediction, sentiment analysis, machine learning, prompt engineering, RAG, and a specialised AI customer service chatbot. These projects are designed to help you progressively apply the programming and AI concepts you learn.
Your programme introduces tools and technologies including Python, Jupyter Notebooks, Visual Studio Code, Streamlit, NumPy, Pandas, Matplotlib, Seaborn, Hugging Face, scikit-learn, vector databases, and Pinecone as you progress through different areas of AI engineering.
No. Generative AI and prompt engineering form part of the programme, but the pathway is considerably broader. You’ll also develop skills across Python programming, data preparation and analysis, machine learning, model evaluation, AI application development, RAG, AI ethics, development environments, and cloud fundamentals.
Yes. Recruitment support includes help refining your CV and LinkedIn profile, preparing for interviews, identifying suitable opportunities, and strengthening your job applications. Your Recruitment Advisor will help you communicate your technical training, practical project experience, AWS certification, and transferable skills more effectively to employers.
We guarantee you’ll secure a new job opportunity within 12 months of completing your final exam or assessment; however, most students secure a role within approximately 4 months after finishing the programme.
We offer flexible payment options, including interest-free internal financing, which allows you to spread payments over manageable monthly instalments, as well as Premium Credit financing for extended payment periods. Speak to one of our career consultants to discuss flexible payment options.
Yes, if you have not completed the programme within the initial 12 months, you can extend your access for an additional 3-12 months for an additional fee. Please discuss this option with your Career Consultant (Subject to T&C’s).
Yes, we offer a comprehensive money-back guarantee. To qualify, you must pass all exams on your first attempt within 6 months, actively work with our recruitment team, and follow specific programme conditions. If you do not secure a suitable job within 12 months, we offer a refund of up to 90% of your study fees, excluding exam costs.
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