AI & ML Engineer Artificial Intelligence Traineeship

Our Programs are open to anyone who meets the basic eligibility criteria. No specific technical skills are required to join.

The career growth curriculum can be obtained only after getting a job. To learn further about the requirements, feel free to contact our team.

Yes, applicants must be 18 years old or above to be eligible for our Programs. Alternatively, if the applicant is under 18, a parent or legal guardian must apply on their behalf.

Yes, international students can apply, provided they meet the visa requirements that allow them to work full-time for at least one year and have working rights or a visa that permits work upon completion of the Program.

International students must have a visa that allows them to work full-time for at least one year or more upon completion of the Program. Tier-4 or PSW (Post-study work visa or Graduate Visa) required.

No, technical skills are not required to apply for our Programs. We welcome applicants from all backgrounds and provide the necessary training.

There are no specific academic prerequisites for our Programs. Our courses are designed to be accessible to individuals without prior technical knowledge.

No entrance exams or tests are required to join our Programs. Our admission process is straightforward and based on meeting the basic eligibility criteria.

No, work experience is not required for admission to our Programs. We welcome applicants from all backgrounds, including those without prior work experience.

All our Programs are conducted in English. Proficiency in English is necessary to ensure you can follow the course material and participate effectively.

For more information about eligibility, please contact our admissions office at [email protected] or call 020 7993 4928. Our team is happy to assist you with any questions you may have.

The Fortray AI/ML Traineeship Program is designed to help individuals secure jobs in the artificial intelligence and machine learning fields by providing hands-on training, globally recognized certification, personalized mentorship, and job search support as Data analyst.

You need to pass one of certification exam at any proctored environment at a Pearson VUE® Authorized Test Center:

• Tableau certification exam (voucher not included)

(OR)

• Power BI certification exam (voucher not included)

No, the voucher for the Microsoft Azure AI Fundamentals (AI-900) certification exam is not included in the program fee.

The Job search support process starts right after you complete the training and pass the required certification exam.

Once you pass the certification exam, you can reach out to the Career Services and Student Support Team to initiate your Job search support process.

Starting salaries for entry-level AI/ML Engineer or Data Scientist positions typically range from £35,000 to £55,000 annually in the UK, depending on your skill set, certifications, and project experience.

The Fortray Data Analytics Program can be completed in 16 weeks if you choose the full-time option, or 24 weeks as a part-time/self-paced learning format. After training, the Job search support process typically takes an additional 12–16 weeks, depending on your interview readiness and current job market conditions.

The AI/ML Traineeship Program begins after you secure a role in Data Analytics. Once placed, you can enroll for AI/ML training, which can be completed in 16 weeks (full-time) or 24 weeks (part-time/self-paced). This progression ensures you build a strong data foundation before advancing into AI and Machine Learning.

The mentorship program begins once you land an entry-level Data Analyst job. A mentor will contact you to set up a call and define your long-term career goals.

Our tailored programs are designed not only to help you secure an entry-level Data Analytics position but also to accelerate your growth toward senior roles in AI, Data Science, and Machine Learning.

We provide hands-on training, certification preparation (Microsoft AI-900), personalized mentorship, and real-world project experience, ensuring you gain the technical expertise and professional skills required to advance your career in the Artificial Intelligence and Machine Learning field.

Please click to read the Fortray bootcamp and traineeship Program (T&Cs apply).

The program has three flexible options:

• Fast Track: 4 weeks (Weekdays – Morning / Afternoon)
• Regular: 12 weeks (Weekdays & Weekends – Morning / Afternoon / Evening)
• Self-Paced: 18–24 weeks (Flexible schedule)

Yes, Fortray has specific start dates for both Full-Time and Part-Time options. Please refer to the Program schedule for upcoming dates.

Yes, the Program follows a structured schedule with planned breaks and holidays. These details are provided to enrolled participants before the Program starts.

Switching between Full-Time and Part-Time options is subject to availability and Program policies. Requests must be discussed with Program coordinators.

Missed sessions may impact Program duration. Recorded videos of live sessions are provided. Participants should inform coordinators in advance if they anticipate absences.

We accept various payment methods, including credit/debit cards, bank transfers, direct debit, and online payment platforms like PayPal.

No, there are no additional fees for using our payment plans. The total cost remains the same, except for the upfront payment discounts offered.

Refund policies vary depending on the Program. Please refer to our Refund Policy for detailed information on eligibility and the refund process.

Yes, there is a 10% discount for paying 100% upfront. Additionally, a 5% discount is offered for paying 50% upfront, with the remaining 50% spread over 10 monthly installments.

We offer three payment plans:

• 100% Upfront: Pay the entire amount upfront and receive a 10% discount.
• 50% Upfront: Pay 50% of the total cost upfront and receive a 5% discount. The remaining 50% is paid over 10 monthly installments.
• 20% Upfront: Pay 20% of the total cost upfront with no discount. The remaining 80% is paid over 10 monthly installments.

If you miss an installment payment, please contact our finance department immediately to discuss your situation and find a solution. Late payments could result in suspension of your enrollment until the payment is made.

Yes, you can pay off the remaining balance early without any penalties. Please contact our finance department to arrange early repayment.

Installment amounts are calculated by dividing the remaining balance after the upfront payment by the number of months in the payment plan (10 months).

For any questions regarding payments and billing, please contact our finance department at [email protected] or call +44 20 7360 3841.

Anyone with a background or experience in Data Analytics, programming, or statistics can smoothly transition into a career in Artificial Intelligence and Machine Learning. Individuals with a strong analytical mindset, problem-solving skills, and curiosity about data-driven decision-making are ideal candidates.

With Fortray's structured training, mentorship, and certification support, even professionals from data or IT-related roles can upskill to become AI/ML Engineers and advance toward high-growth positions in the AI industry.

An AI/ML Engineer's job is to design, build, and deploy machine learning models and AI systems that can analyze data, recognize patterns, and make predictions or automate decisions.

They work with large datasets, develop and fine-tune algorithms, integrate AI solutions into business applications, and collaborate with data scientists, analysts, and developers to create intelligent, data-driven systems that enhance organizational efficiency and innovation.

An AI/ML Engineer must have a strong foundation in mathematics, statistics, and computer science. They should understand linear algebra, probability, calculus, and data structures, along with proficiency in Python and libraries such as TensorFlow, PyTorch, and Scikit-learn.

To become an AI/ML Engineer, a candidate should have a passion for data, programming, and mathematics, with an emphasis on analytical thinking and problem-solving skills. A background in Data Analytics, Computer Science, or related fields is beneficial, along with basic knowledge of Python, statistics, and machine learning fundamentals.

At the core level, an AI/ML Engineer should possess strong skills in Python programming, data analysis, and mathematics, particularly in linear algebra, probability, and statistics. They must also have hands-on knowledge of machine learning and deep learning frameworks like TensorFlow and PyTorch, along with problem-solving, critical thinking, and the ability to apply AI models to real-world business challenges effectively.

Becoming an AI/ML Engineer can seem challenging at first because it requires learning programming, mathematics, and machine learning concepts. However, at Fortray, we make this journey achievable by providing step-by-step training, real-world projects, mentorship, and certification guidance.

Yes, an AI/ML Engineer role falls under the IT and technology domain. It involves working with various IT tools, programming languages, and frameworks such as Python, TensorFlow, PyTorch, and Microsoft Azure.