Build Real Products with AI
Learn how to combine software development, AI models, data and business tools to build applications that solve real problems. Move beyond simply using AI tools and learn how to create AI-powered products.
You do not need to build a new AI model. You learn how to build useful systems with the AI models that already exist.
What Is Modern AI Engineering?
Modern AI Engineering is the process of building software products that use artificial intelligence.
Instead of creating large AI models from the beginning, AI engineers use existing models and connect them to websites, applications, databases and business tools.
They build systems such as
- AI assistants
- Customer-support tools
- Research platforms
- Learning applications
- Business automation systems
- AI-powered websites
- Productivity tools
- Intelligent software products
How an AI product works
User
Application
AI
Business Info & Tools
Useful Result
What Students Will Learn
Five simple areas that take you from understanding AI to shipping real AI-powered products.
Understanding AI
How modern AI works, where it can fail and how developers use it inside real software products.
Building AI Applications
Connect AI models to websites, applications and backend systems using clean APIs and modern development tools.
Connecting AI to Tools & Information
Help AI work with documents, databases, business information and external services so it produces useful results.
AI Assistants & Agents
Create AI systems that can answer questions, complete tasks and support users through chat and simple agents.
Launching Reliable AI Products
Test, improve, secure and deploy AI applications so real users can trust them in production.
Learn by Building Real Projects
Students will study AI concepts while building practical products that can be added to their portfolios or developed into real business solutions.
Project 01
AI customer-support assistant
Project 02
School learning assistant
Project 03
Research and information assistant
Project 04
Business enquiry system
Project 05
Document-analysis application
Project 06
AI-powered website
Project 07
Business productivity tool
Project 08
Final AI product or startup project
Who the Course Is For
This programme is suitable for:
Basic programming knowledge is recommended.
Completely new to coding? Start with Frontend, Backend or Full-Stack Development first.
- Software developers
- Frontend developers
- Backend developers
- Full-stack developers
- Automation builders
- Technical founders
- Product builders
- People who want to create AI-powered software
AI Engineering vs AI Automation
AI Automation helps businesses automate work. AI Engineering helps people build AI-powered products.
AI Automation
AI Automation focuses on connecting existing tools and automating repetitive business processes.
Example
When a customer fills out a form, AI summarises the information and sends it to the business.
AI Engineering
AI Engineering focuses on building the actual software product.
Example
Building the customer-support platform that receives enquiries, understands business information, responds to users and stores conversations.
You are here
What You Will Be Able to Do
By the end of the programme, students should be able to:
- Build AI-powered websites and applications
- Connect AI to business information and software tools
- Create intelligent assistants
- Build simple AI agents
- Develop useful AI products
- Test and improve AI applications
- Deploy products for real users
- Build a portfolio of practical AI projects
Where This Skill Can Take You
This programme helps students build practical skills and portfolio projects for emerging roles involving AI-powered software and digital products.
Course Information
Course Level
Intermediate
Recommended Background
Basic programming knowledge
Learning Style
Instructor-led and project-based
Main Outcome
A deployed AI-powered product and practical portfolio
Suitable for Complete Coding Beginners
No
New to coding? Start with Software Foundations →
Ready to build with AI?
Apply for the next Modern AI Engineering cohort.