AWS Certified AI Practitioner AIF-C01The Complete Beginner's Guide

Introduction to AI and ML on AWS

Objective 1.1 · Define AI, ML, and deep learning and understand their relationship

Machine Learning Lifecycle and Basics

Objective 1.2 · Explain the ML lifecycle and key concepts such as training, inference, and evaluation

AWS Machine Learning Services Overview

Objective 1.3 · Identify AWS services for AI/ML (Amazon SageMaker, Rekognition, Comprehend, Translate, etc.)

Security, Governance, and Compliance for AI

Objective 2.1 · Understand security and compliance considerations for AI workloads on AWS (IAM, encryption, logging)

AWS IAM and Data Protection for ML

Objective 2.2 · Apply IAM policies, encryption, and access controls to protect ML data and models

Responsible AI Principles and AWS

Objective 3.1 · Explain responsible AI principles (fairness, explainability, privacy, robustness, transparency)

Bias Detection and Mitigation in ML

Objective 3.2 · Identify and mitigate bias in AI/ML systems using AWS tools (SageMaker Clarify, etc.)

AWS Tools for Governance and Auditability

Objective 3.3 · Use AWS services (AWS Audit Manager, CloudTrail, Config) for AI governance

Generative AI Concepts and Foundation Models

Objective 4.1 · Define generative AI and foundation models, including large language models (LLMs)

Prompt Engineering Techniques

Objective 4.2 · Apply prompt engineering best practices (zero-shot, few-shot, chain-of-thought)

Amazon Bedrock Fundamentals

Objective 4.3 · Use Amazon Bedrock to access and deploy foundation models

Fine-tuning and Customization of Foundation Models

Objective 4.4 · Customize foundation models using fine-tuning, RAG, and agent-based approaches

Building with Amazon SageMaker

Objective 5.1 · Build, train, and deploy ML models using Amazon SageMaker

AWS AI Services for Content and Vision

Objective 5.2 · Use AWS AI services (Rekognition, Textract, Comprehend, Polly, Lex) for vision and content tasks

AWS AI Services for Language and Conversation

Objective 5.3 · Use AWS AI services (Translate, Transcribe, Lex, Polly) for language and conversational AI

Deploying and Monitoring ML Models

Objective 5.4 · Deploy, monitor, and manage ML models in production using AWS tools (SageMaker, CloudWatch)