AI Engineer Programme
This programme is designed and advised by Global Tech Industry Partners and Companies
Artificial Intelligence engineering is one of the fastest-growing and most in-demand careers in the technology industry. Businesses across every sector are adopting AI-powered solutions to automate processes, improve decision-making, and create innovative digital products. AI Engineers play a critical role in designing, developing, and integrating intelligent systems that help organisations become more efficient, scalable, and competitive in the modern digital economy.
The ‘Job-Ready’ Programme is a practical course specifically designed for people wanting to get their first job in Artificial Intelligence Engineering. It is created and presented by experienced AI engineers, software developers, and IT professionals, who share their knowledge, industry practices, and real-world experience gained over many years within the industry. The programme was developed to help small groups gain practical AI development, machine learning, and intelligent application development skills used in commercial environments. The course has now been extended to cover the essential interpersonal and communication skills you will need to succeed in your role as an AI Engineer. The combined effect of gaining ‘in-demand’ technical skills, improved communication skills, and relevant project experience will ensure you stand out when meeting employers.
Participants are guided by experienced industry mentors throughout the entire programme and receive hands-on coaching, one-on-one mentoring, and practical advice while working on real-world AI projects and commercial-style solutions. This provides a unique opportunity to gain first-hand experience in AI application development, machine learning workflows, API integration, data processing, automation, prompt engineering, testing, deployment, and implementing intelligent systems using industry-standard tools and technologies.
We are here to assist with guidance in your personal job hunt, including assistance with CV preparation, LinkedIn profile improvement, and interview techniques. Upon successful completion of the programme and internship, you will receive a reference letter to endorse your commercial project experience and practical AI engineering skills gained while with us.
Why learn AI development – Python
- Build AI applications and automation workflows efficiently.
- Work with data processing, machine learning, and backend systems.
- Python is the leading programming language for AI development.
- Develop practical coding and problem-solving skills for AI engineering.
Why learn generative AI integration – OpenAI API
- Integrate powerful AI models into real-world applications.
- Build AI chatbots, assistants, and content generation tools.
- Understand prompt engineering and AI-powered workflows.
- Gain hands-on experience with modern generative AI technologies.
Why learn AI orchestration – LangChain
- Build advanced LLM applications with structured workflows.
- Connect AI models with tools, APIs, and external data sources.
- LangChain is widely used for developing AI agents and assistants.
- Improve AI application scalability and automation capabilities.
6-week Job-Ready Training
This will help students gain applied AI engineering knowledge used in commercial technology teams, including Python, prompt engineering, APIs, automation, evaluation and LLM integration.
Tech Company Internship
We say, the best way to learn is to get hands-on experience. Put the theory into practice by designing AI-assisted workflows that teammates can adopt, evaluate and maintain.
Employer Network
Get Recruiter-led Job Assist and Access to our Employer Network, including Job Recommendations, Interview Preparation, and Employer Communication.
- Job seeker aiming to become an AI Engineer
- Software developer or technical graduate who wants to move into AI engineering, automation or applied ML roles
- Career changer who wants hands-on experience with Python, APIs, prompt engineering and LLM integration
- Professional who wants to prototype AI assistants with retrieval, guardrails and evaluation workflows
- Team member who wants practical experience building AI-assisted tooling with measurable time savings and humans in the loop
| # | Description | Duration | Details |
|---|---|---|---|
| 1 | 6 Weeks Training | 6 weeks | Hands-on Interactive Learning. Learn by doing real, job-style tasks, supported by Q&A facilitators, weekly tutor support and a tech expert support portal. |
| 2 | Commercial Internship | 3 months + | Work on commercial-scale projects with real mentors and real teamwork at a tech company, using the skills you have learnt. Extension beyond 3 months is possible. |
| 3 | Employer Network | Ongoing | Get interview-ready support, CV customisation, mock interviews, practice with real employers, and access to our employer network and job opportunities. |
- NO trainers but industry experts. Sessions are run by AI engineering and software professionals with commercial experience.
- NO books! Training focuses on practical tools such as Python, OpenAI API, LangChain and Git.
- NO assignments or exams! We focus on research, AI-assisted workflows, API integration, evaluation and resolving commercial AI engineering problems.
Python for AI Engineering
Use Python to build practical AI-assisted workflows, automation scripts and integrations with existing systems.
Prompt Engineering
Design prompts and prompt chains that produce reliable outputs with clear context, constraints and review points.
APIs and OpenAI API
Integrate AI capabilities through APIs, handle responses safely and connect AI features into existing application workflows.
LLM Integration with LangChain
Use LLM integration patterns and LangChain-style workflows to prototype AI assistants and multi-step AI features.
Automation and Workflow Design
Automate repetitive tasks with measurable time savings while keeping humans in the loop for judgment and approval.
Evaluation and Guardrails
Partner with stakeholders on evaluation criteria, quality checks, guardrails and rollout readiness.
Git and Delivery Workflow
Use Git-based delivery habits to version AI workflow changes, collaborate with teams and support maintainable releases.
Commercial AI Assistant Project
Prototype an AI assistant backed by retrieval and guardrails for an enterprise client.
At Software Companies, interns will work on commercial AI engineering and automation projects to enhance their practical, business-oriented technical skills. Projects are designed around in-demand AI engineering, automation and applied ML work, including LLM integration, AI-assisted workflows, evaluation, guardrails and API-backed delivery.
- Shipped AI-assisted workflows integrated with existing APIs
- Partnered with stakeholders on evaluation and rollout
- Automated repetitive tasks with measurable time savings
Get Recruiter-led Job Assist and Access to our Employer Network. After your training and internship, our team works with you on Job Recommendations, Interview Preparation, and Employer Communication, connecting you with companies that hire from our network until you land your first tech role.
Some of the companies our graduates have been successfully employed at
