Engineering and modelling
The AI Engineering pathway lists Python, Pandas, machine learning, deep learning, RAG, agents and deployment. It is distinct from a route primarily focused on using AI-assisted app-building tools.
London International · AI & data science
AI & data science courses
AI & data science courses
Choose what to build.
London International offers AI and data science courses through its specialist institute at lisrc.ae, with pathways in AI engineering, AI development, agentic AI and data analytics. Compare the options below to find a route suited to your technical starting point and the work you want to do.
Your starting point
Is this the right course for you?
The published routes serve different starting points and objectives: technical modelling, application development, automation and business reporting. Share your coding experience and the kind of project you want to create so the team can help compare suitable routes.
Curriculum overview
Skills with a clear purpose.
AI application development
CAIDP focuses on practical applications, dashboards and products using AI-assisted development. The published outline includes AI foundations, prompting, app builders, databases and deployment.
Agents and automation
CAAIP covers directing AI coding tools and connecting agents with workflows. Published topics include Codex, Claude Code, MCP and OpenClaw; confirm the current tools and versions for your cohort.
Analytics and advanced study
The Data Analytics route covers Power BI, DAX, SQL, Tableau and storytelling. Separate published pathways explore machine learning, advanced data science, big data and deep learning for more specialised objectives.
Published study options
Choose your pathway.
Compare the programme focus below. Each option links to its specialist institute’s published course information.
Certified AI Engineering & Data Science Professional
A technical pathway from Python foundations to machine learning, generative AI systems and deployment.
- Python and Pandas
- Machine learning and deep learning
- RAG, agents and deployment
Certified AI Developer Professional (CAIDP)
Build practical AI applications, dashboards and products using AI-assisted development tools.
- AI foundations and prompting
- AI app builders
- Databases and deployment
Certified Agentic AI Professional (CAAIP)
Learn to direct AI coding tools and connect agents with practical workflows.
- Codex and Claude Code
- MCP and OpenClaw
- Automation and agent workflows
Data Analytics
Turn business data into useful dashboards, reports and visual explanations.
- Power BI and DAX
- SQL
- Tableau and storytelling
AI Coding & Web App Development
Explore the combined CAIDP and CAAIP pathway for building apps, automations and AI products.
- Lovable, Bolt and Cursor
- Codex and Claude Code
- MCP and n8n
Machine Learning
Study machine learning from Python and modelling through deployment and responsible use.
- Python and Scikit-Learn
- TensorFlow
- Model deployment and MLOps
Advanced Data Science
Extend your data science skills into forecasting, model operations and explainability.
- Forecasting
- MLOps and explainable AI
- Big data processing
Big Data Analytics
Work with the tools used to process and analyse data at scale.
- Spark and Hadoop
- Kafka
- Snowflake and cloud analytics
Deep Learning & Neural Networks
Study neural-network architectures and practical deep learning tools.
- TensorFlow and PyTorch
- CNNs, RNNs and transformers
- Generative models
Make an informed choice
Compare the right things.
Start with the output
If your goal is a reporting dashboard, compare data analytics. If it is an AI application, compare developer routes. If it is modelling or deploying learning systems, look closely at the engineering and machine-learning outlines.
Check the starting skills
Ask about the coding, mathematics and software knowledge expected for the specific pathway. There is no single prerequisite that can accurately describe every AI course in this directory.
Fees & study options
Know what is included.
Ask for the current fee, available study format and next intake for your chosen pathway. Confirm the teaching hours, materials, assessment arrangements and any separate professional-body or tool fees before you enrol.
Share your experience and preferred timetable so the team can help you compare the appropriate options.
Support beyond the classroom
Learn with a next step in mind.
Every enrolled student gets access to Adam, London INTL Intelligence, for career support alongside their course. Support is included across all courses; employment outcomes are not guaranteed.
Ask how career support works →Before you enrol
Your questions, answered.
How do CAIDP and CAAIP differ?
CAIDP is the published AI Developer pathway for practical AI applications and products. CAAIP is the Agentic AI pathway for directing coding tools and connecting agents with workflows. A combined app-development route is also published.
Is data analytics the same as data science?
The listed analytics route emphasises business data, queries, dashboards and communication. The engineering and data-science routes extend into modelling and related technical systems. Compare the actual syllabus against your intended work.
Do I need programming experience?
It depends on the course. Ask the team to assess the starting skills needed for your selected pathway; introductory app-building and advanced technical modelling should not be treated as identical entry routes.
Explore related subjects
See the connections.
Explore all published courses or learn about London International and its specialist institutes. The links above identify the institute sources for this overview. Current fees, eligibility and intake availability should be confirmed with the course team.