🧠 AWS Certified AI Practitioner

Build decision-ready knowledge of AI and ML concepts, AWS managed AI services, generative AI with Amazon Bedrock, responsible AI, security, and governance for AIF-C01.

📋 Exam Code: AIF-C01

⏱️ 90 Minutes, 85 Questions

📅 1–2 Months Prep

🎯 No Prerequisites

✨ Foundational Level — No Prior AI Experience Required

What Is the AWS AIF-C01?

AWS Certified AI Practitioner is a foundational credential for people who use, explain, select, or support AI and machine-learning capabilities on AWS. Preparation should emphasize service and responsible-use decisions rather than memorizing product names. This roadmap was reviewed on September 11, 2026; verify current objectives, delivery details, and policies on the official AWS credential page before scheduling.

AI/ML Fundamentals

1–2 weeks

AI vs ML vs Deep Learning hierarchy and differences

Supervised, Unsupervised, and Reinforcement Learning

Neural networks — layers, activation functions, backpropagation

Overfitting vs underfitting — bias-variance tradeoff

Classification metrics — accuracy, precision, recall, F1, ROC-AUC

Regression metrics — MAE, RMSE, R-squared

Training, validation, and test data splits — cross-validation

Transfer learning and fine-tuning concepts

Generative AI with Amazon Bedrock

2 weeks

Foundation models — what they are, how they work

Amazon Bedrock — API access to Anthropic, Meta, Mistral, Amazon models

RAG (Retrieval-Augmented Generation) — process, vector embeddings, knowledge bases

Fine-tuning vs RAG — when to use each

Prompt engineering — zero-shot, few-shot, chain-of-thought

Hallucination — causes and mitigations

Bedrock Agents — multi-step reasoning, API actions via Lambda

Bedrock Guardrails — content safety, PII redaction, grounding checks

Amazon SageMaker & Responsible AI

1–2 weeks

SageMaker overview — Studio, Data Wrangler, Feature Store, Pipelines

SageMaker Clarify — bias detection, SHAP explainability, model cards

Real-time vs Batch Transform vs Serverless Inference

Responsible AI principles — fairness, explainability, privacy, safety, transparency

ML bias — sources, types, protected attributes, proxy features

EU AI Act and US Executive Order on AI — awareness level knowledge

📚 Recommended Study Resources

Ready to Test Your Knowledge?

Take our AIF-C01 practice exam covering AI fundamentals, AWS AI services, and generative AI with Bedrock

Start AIF-C01 Practice Exam →

🧠 AWS Certified AI Practitioner

What Is the AWS AIF-C01?

AI/ML Fundamentals

AWS AI Services Catalog

Generative AI with Amazon Bedrock

Amazon SageMaker & Responsible AI

📚 Recommended Study Resources

Official AWS Credential Page

PrepKloud Study Guide

Active Recall

Portfolio Projects

Ready to Test Your Knowledge?