AI Professional Institute (Europe)
Certified AI Developer (CAID)
- Duration: 40 hours
- Format: Instructor-Led
- Credential: CAID Certification
- Prerequisites: Python programming; familiarity with APIs and version control
- Certification Validity: 2 years
- CPD Hours: 40
Course Overview
The Certified AI Developer (CAID) validates competence in LLM-era AI Developmentwhich includes programmatic prompting, RAG systems, local model deployment, fine-tuning, AI agents, and LLMOps. This is NOT traditional ML model building; CAID focuses on the modern AI Developer stack: orchestration frameworks (LangChain, etc.), vector databases, retrieval-augmented generation, and agentic systems. Designed for Developer building AI-powered applications.
Who is this for?
Software Developer integrating AI into applications, full-stack Developer building LLM-powered products, technical team leads managing AI implementation, DevelopmentOps engineers deploying AI systems. Python proficiency required.
Learning Objectives
- Set up Development environments and work with LLM APIs
- Implement programmatic prompting with structured outputs and tool calling
- Build retrieval-augmented generation (RAG) systems with vector databases
- Deploy and fine-tune local open-weight models (LoRA/PEFT)
- Build AI agents with tool use, planning, and memory
- Implement LLMOps: evaluation, monitoring, deployment, and governance
Course Modules / Domains
- 1. LLM Foundations & AI-Assisted Development (18%) - Environment setup, LLM concepts, AI-assisted coding
- 2. Programmatic Prompting & Orchestration Frameworks (20%) - SDKs, structured outputs, tool calling, orchestration
- 3. Retrieval-Augmented Generation (RAG) Systems (18%) - Embeddings, vector DBs, chunking, retrieval pipelines
- 4. Local Models & Model Adaptation (22%) - Local inference, fine-tuning (LoRA/PEFT), evaluation
- 5. Agents and Tool-Using Systems (11%) - Agentic patterns, tool use, multi-step workflows
- 6. LLMOps, Evaluation, Deployment & Governance (11%) - CI/CD, monitoring, safety, compliance
Exam Details
| Exam Code | AIP-CAID-200 |
|---|---|
| Format | MCQ, Multiple Response, Scenario-based, Code/Architecture Interpretation |
| Questions | 70 scored questions |
| Duration | 120 minutes |
| Passing Score | 720/1000 (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
alternative technical track
Related Courses
Want to explore individual courses? Browse our suite of Training & Certification courses.