Certified Generative AI Engineer (CGAE)
An upskilling-linked certification initiative designed to recognize talent in generative AI and large language models
About This Certification
Participants undergo a structured learning journey covering essential generative AI modules. Upon completion, an exam assesses proficiency, with successful candidates earning certification from ADaSci—a premier global body. This program not only imparts relevant knowledge but also acknowledges talent, providing professionals with a recognized credential to thrive in the competitive realm of generative AI, making it the ideal choice for those aspiring to excel in this dynamic field.
What you'll learn
Program courses
Who this is for
Why get certified.
Recognition
Credential from a Professional AI Body
Validates Applied AI Competency
Recognized Across Industries
Lifetime Validity
Part of a Family of Global Credentials
Professional and Community Presence
- 30h of content
- 60 exam questions
- Lifetime access
- Verifiable credential
Continue your generative AI engineering journey.
Pair your Generative AI Certification with hands-on LLM and generative AI courses, adjacent AI engineering certifications, and an ADaSci AI professional membership that keeps your credential active and recognised.
Generative AI and LLM courses
Mastering LangChain for Generative AI Applications
A hands-on workshop for building production generative AI applications with LangChain — chains, tools and retrieval.
Mastering Prompt Engineering for LLMs
Advanced prompt engineering patterns that make large language model outputs reliable and evaluable.
Retrieval-Augmented Generation (RAG) with Vector Databases
Design RAG pipelines with vector databases — the core generative AI engineering skill for grounded answers.
Project-Based Generative AI Learning Track
A portfolio-first generative AI track that takes you from fundamentals to shipped LLM projects.
Related AI certifications
Certified Agentic AI System Architect (CAASA)
The agentic AI certification for engineers who want to architect autonomous, multi-agent systems on top of LLMs.
Certified LLMOps Engineer (CLOE)
Operate, monitor and scale LLM applications in production — the LLMOps counterpart to generative AI engineering.
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