AI Professional Institute (Europe)
Certified AI Expert (CAIE)
- Aligned Course: Advanced Artificial Intelligence
- Duration: 48 hours
- Format: Instructor-Led
- Credential: CAIE Certification
- Prerequisites: CAIP + Development experience + 2–3 years ML/DS experience recommended
- Certification Validity: 2 years
- CPD Hours: 48
Course Overview
The most rigorous AI certification in the AIPROI suite. Validates expert-level competence in advanced machine learning, deep learning, model deployment and MLOps, RAG at scale, reinforcement learning, explainable AI, and emerging trends. Designed for senior data scientists, AI architects, and technical leaders directing AI strategy at scale.
Who is this for?
Senior data scientists, AI architects, ML engineers, technical AI leaders, R&D professionals, AI consultants advising on complex implementations. Requires solid programming skills and prior ML/DS experience.
Learning Objectives
- Design and implement advanced ML and deep learning architectures
- Deploy AI models at scale with MLOps best practices
- Build production-grade RAG systems
- Apply reinforcement learning to decision-making problems
- Implement explainable and trustworthy AI techniques
- Evaluate emerging AI trends and their enterprise implications
Course Modules / Domains
- 1. Advanced Machine Learning & Deep Learning (25%) - CNNs, RNNs, Transformers, GANs, advanced architectures
- 2. AI Model Deployment, MLOps& RAG (25%) - Production pipelines, monitoring, scalable RAG
- 3. AI for Decision-Making & Reinforcement Learning (20%) - RL, multi-agent RL, decision optimisation
- 4. Ethical, Explainable & Trustworthy AI (15%) - XAI, bias detection, fairness, accountability
- 5. Emerging AI Trends & System-Level Design (15%) - Foundation models, agentic systems, future directions
Exam Details
| Exam Code | AIP-CAIE-300 |
|---|---|
| Format | MCQ + Multiple Response, Scenario-based (no coding during exam) |
| Questions | 80 scored questions |
| Duration | 180 minutes (3 hours) |
| Passing Score | 750/1000 (scaled) |
| Delivery | Online, proctored |
| Retake Policy | 14-day wait, max 3 per 12 months |
| Validity | 2 years |
This course is stackable towards the following pathways
AI Data Specialist
Stage 4 (capstone)
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