AI Data Specialist
Go beyond spreadsheets. Master the data skills that power AI-driven decisions.
4 Credentials | 112 hours
Target Audience
For analysts, business intelligence professionals, financial analysts, and data-driven professionals.
Data is the fuel that powers every AI system. This pathway is for professionals who work with data every day and want to move from reporting the past to predicting the future. You will build hands-on skills in data science, AI implementation, and advanced analytics, earning credentials that validate your ability to turn raw data into strategic advantage. This is the most technically intensive pathway, ideal for those pursuing data-driven career advancement.

Ideal for: Financial analysts, BI professionals, data analysts, accountants transitioning to analytics, IT professionals seeking data science credentials.
Learning Journey
| Stage | Programme | Duration |
|---|---|---|
| 1 | DSBIZ – Data Science for Business | 8 hrs |
| 2 | CDSP – Certified Data Science Practitioner | 24 hrs |
| 3 | CAIP – Certified AI Practitioner | 32 hrs |
| 4 | CAIE – Certified AI Expert | 48 hrs |
What You Will Gain at Each Stage
Stage 1 – DSBIZ
- Understand how data science creates business value.
- Learn to communicate data requirements, understand the data science lifecycle, and identify where data science can solve business problems.
Stage 2 – CDSP
- Hands-on data science: Python, ETL, data analysis, machine learning (classification, regression, clustering), model evaluation, and production deployment.
- ANSI-accredited certification.
Stage 3 – CAIP
- Applied AI: prompt engineering, no-code automation, generative media, RAG tools, AI agents, and data evaluation literacy.
- Bridge the gap between data science and practical AI deployment.
Stage 4 – CAIE
- Expert-level AI: advanced ML and deep learning, model deployment and MLOps, RAG at scale, reinforcement learning, explainable AI, and emerging trends.
- The most rigorous AI certification available
Outcome
4 Global Credentials
Advanced data science and AI capabilities for data-driven roles.
Career Outcomes
- Senior Data Analyst / Data Scientist
- AI Implementation Specialist
- Machine Learning Engineer
- AI Solutions Architect
- Head of Data & Analytics
Want to explore individual courses? Browse our suite of Training & Certification courses.