AWS Certified AI Practitioner (AIP-C01) Complete Prep Guide (2026)
Everything you need to know to pass the new AWS AIP-C01 exam, covering Amazon Bedrock, Prompt Engineering, Foundation Models, and Responsible AI.
Introduction
AWS launched the AWS Certified AI Practitioner (AIP-C01) certification to address the rapid rise of Generative AI in cloud workloads. Designed for developers, solution architects, and technical project managers, this exam tests foundational AI/ML concepts and hands-on AWS GenAI services.
Core Topics Tested on AIP-C01
1. Fundamentals of AI and ML (20%)
- Core differences between supervised, unsupervised, reinforcement learning, and generative AI models.
- Machine Learning lifecycle: Data prep, feature engineering, model training, evaluation, and deployment.
- Key metrics: Precision, Recall, F1-Score, RMSE, BLEU, and ROUGE for LLM evaluation.
2. Generative AI Concepts (24%)
- Understanding Foundation Models (FMs), Large Language Models (LLMs), and Multimodal FMs.
- Fine-tuning vs Retrieval-Augmented Generation (RAG) vs Prompt Engineering.
- Embeddings, Vector Databases, and Semantic Search concepts.
3. Applications of Foundation Models with Amazon Bedrock (28%)
- Amazon Bedrock: Model Access, Guardrails for Bedrock, Agents for Amazon Bedrock, Knowledge Bases for Bedrock (RAG).
- Choosing the right FM (Claude, Llama, Titan, AI21) based on cost, latency, and task context.
- Amazon Q Developer and Amazon Q Business integrations across AWS.
4. Responsible AI, Security & Compliance (28%)
- Data privacy in Amazon Bedrock: Confirming customer data is NOT used to train base AWS models.
- Addressing hallucinations, bias, toxicity, and prompt injection attacks using Guardrails.
- IAM role configuration for AI workloads and AWS KMS encryption.
How to Prepare
- Hands-on with Bedrock Playground: Practice invoking FMs, setting system prompts, and attaching Guardrails in the AWS Console.
- RAG Architecture Architecture Knowledge: Understand how Bedrock Knowledge Bases sync with OpenSearch Serverless, Pinecone, or Amazon Aurora PostgreSQL Vector.
- Practice Tests: Take realistic 65-question practice exams to get comfortable with scenario-based questions.
BetaStudy Team
The BetaStudy team consists of certified cloud architects, DevOps engineers, and IT professionals with decades of combined experience. Our team holds over 100 certifications across AWS, Azure, GCP, Kubernetes, CompTIA, and other major platforms. We're dedicated to helping IT professionals pass their certification exams on the first try.