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Exam Details

• Exam Name: Generative AI Certified Associate (GAIC)
• Exam Format: Multiple choice, online with remote supervision (proctoring)
• Exam Delivery: Safe Exam Browser
• Number of Questions: 50 questions: 60% scenarios / 25% conceptual / 15% ethics
• Exam Duration: 90 minutes
• Passing Score: 70% (35 out of 50 correct answers)
• Available Languages: Spanish / English
• Attempts: 2 attempts included (minimum 14 days between attempts)
• Validity: 3 years · 15 CPD credits per year

Main Subjects

• Generative AI fundamentals (15%): Generative versus discriminative AI; Types of content that can be generated; Tokens, embeddings, attention and weights; Foundation, pre-trained and fine-tuned models; Lifecycle, capabilities and limitations; Decoding parameters: temperature, top-k and top-p.
• Generative architectures and models (15%): Transformer architecture; BERT, GPT, T5 and Mixture of Experts; Diffusion and multimodal models; Fine-tuning: LoRA, RLHF, PEFT and quantization; Model selection; Benchmarks: MMLU, HELM and TruthfulQA.
• Prompt engineering (25%): Roles, delimiting, zero-shot and few-shot; Chain-of-Thought, Tree-of-Thought and RAG; Prompt chaining and self-consistency; Generation parameters; Prompt injection and jailbreaking; Evaluating, documenting and versioning prompts.
• Evaluation, quality and risk mitigation (20%): Accuracy, relevance, coherence and factuality; Intrinsic, extrinsic and factual hallucinations; Grounding and RAG; Bias and red teaming; Continuous monitoring and drift detection.
• Responsible AI, ethics and regulation (15%): Transparency, fairness, privacy and accountability; EU AI Act: risk classification; Labeling AI-generated content; Disinformation, impersonation and copyright; NIST AI RMF and ISO/IEC 42001.
• Practical applications and enterprise integration (10%): Use cases by business function; Return on investment and cost-benefit; APIs, on-premise and autonomous agents; Governance and change management; Trends: agents, multimodality and edge.

Who is this certification for?

• Developers and IT professionals: Who want to specialize in generative AI and LLM-based systems.
• Data scientists and analysts: Who want to bring generative techniques into their analytics and modeling work.
• Digital transformation consultants: Who advise organizations on the strategic adoption of generative AI.
• Product and innovation managers: Who integrate generative capabilities into products and services.
• Educators and content professionals: Who use generative AI to teach or create content with technical and ethical rigor.

Prerequisites

No mandatory prerequisites: no prior professional experience, specific academic training or other certification is required. Registration is direct with CertJoin or through an authorized partner, accepting the program terms. Recommended (not mandatory): general technology and artificial intelligence concepts. Next level: Generative AI Certified Expert (GAIE).