intellcert Academy · Artificial Intelligence
AI Engineer (Capstone & Integration Course)
Participants will be able to: Design and evaluate complete AI systems Integrate ML, LLM, and RAG systems Justify architectural decisions Plan production-ready AI systems Identify and mitigate technical risks Note:.
Overview
Course contents
Our professional training courses are designed for professionals, specialists, and experts who wish to expand their knowledge in a targeted way.
Learning objectives
- Designing and evaluating complete AI systems
- Integrating ML, LLM and RAG systems
- Justifying architecture decisions
- Planning production-ready AI systems
- Identifying and reducing technical risks
Target audience
- AI engineers
- Data scientists
- Software engineers with an AI focus
- Solution architects
- MLOps engineers
Prerequisites
- Required:
Required
- IC-805-E-01. Understanding and Safely Applying AI
- IC-805-E-03. LLM Workshop
- IC-805-E-04. Developing and Integrating AI Systems
- IC-805-E-05. RAG & Enterprise AI Systems
- IC-805-E-06. MLOps & AI Operations
Certification requirement
Proof of attendance of the course and/or prerequisite course(s), or evidence of otherwise acquired equivalent knowledge + Successful completion of the examination + At least 2 years of professional experience in the relevant field
Delivery format: Online. For on-site or in-house training, please send us a request via our contact form. We will get in touch with you shortly thereafter.
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Related courses
Related courses: Artificial Intelligence
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