# Content Domain 2: Fundamentals of GenAI
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Domain 2 covers the fundamentals of GenAI and represents 24% of the scored content on the exam.

**Topics**
+ [Task Statement 2.1: Explain the basic concepts of GenAI.](#ai-practitioner-01-task2.1)
+ [Task Statement 2.2: Understand the capabilities and limitations of GenAI for solving business problems.](#ai-practitioner-01-task2.2)
+ [Task Statement 2.3: Describe AWS infrastructure and technologies for building GenAI applications.](#ai-practitioner-01-task2.3)

## Task Statement 2.1: Explain the basic concepts of GenAI.
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Objectives:
+ Define foundational GenAI concepts (for example, tokens, chunking, embeddings, vectors, prompt engineering, transformer-based LLMs, foundation models [FMs], multimodal models, diffusion models).
+ Identify potential use cases for GenAI models (for example, image, video, and audio generation; summarization; AI assistants; translation; code generation; customer service agents; search; recommendation engines).
+ Describe the foundation model lifecycle (for example, data selection, model selection, pre-training, fine-tuning, evaluation, deployment, feedback).

## Task Statement 2.2: Understand the capabilities and limitations of GenAI for solving business problems.
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Objectives:
+ Describe the advantages of GenAI (for example, adaptability, responsiveness, simplicity).
+ Identify disadvantages of GenAI solutions (for example, hallucinations, interpretability, inaccuracy, nondeterminism).
+ Identify factors to consider when selecting GenAI models (for example, model types, performance requirements, capabilities, constraints, compliance).
+ Determine business value and metrics for GenAI applications (for example, cross-domain performance, efficiency, conversion rate, average revenue per user, accuracy, customer lifetime value).

## Task Statement 2.3: Describe AWS infrastructure and technologies for building GenAI applications.
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Objectives:
+ Identify AWS services and features to develop GenAI applications (for example, Amazon SageMaker JumpStart, Amazon Bedrock PartyRock, Amazon Q, Amazon Bedrock Data Automation).
+ Describe the advantages of using AWS GenAI services to build applications (for example, accessibility, lower barrier to entry, efficiency, cost-effectiveness, speed to market, ability to meet business objectives).
+ Describe the benefits of AWS infrastructure for GenAI applications (for example, security, compliance, responsibility, safety).
+ Describe cost tradeoffs of AWS GenAI services (for example, responsiveness, availability, redundancy, performance, regional coverage, token-based pricing, provision throughput, custom models).