AIFLX

Library / Artificial Intelligence

AWS Certified AI Practitioner AIF-C01: Generative AI on AWS

On Udemy

About this course

Unlock the power of generative AI on AWS with this comprehensive, beginner-friendly course designed to help you pass the AWS Certified AI Practitioner (AIF-C01) exam on your first attempt. Whether you're a business professional, IT specialist, developer, or career switcher, this course delivers the foundational knowledge of artificial intelligence (AI), machine learning (ML), and generative AI concepts and use cases — all aligned with the latest 2026 exam guide.

Dive deep into the five official exam domains:

Fundamentals of AI and ML (20%): Master core concepts like supervised/unsupervised/reinforcement learning, neural networks, bias vs. variance, data types (structured vs. unstructured), and key AWS services such as Amazon SageMaker, Rekognition, Comprehend, Transcribe, and Forecast.

Fundamentals of Generative AI (24%): Explore foundation models (LLMs), prompt engineering, tokenization, temperature/top-p sampling, zero-shot/few-shot learning, RAG (Retrieval-Augmented Generation), chain-of-thought prompting, hallucinations mitigation, and diffusion models.

Applications of Foundation Models (28%): Learn practical AWS tools including Amazon Bedrock (accessing models like Claude, Titan, Llama), Bedrock Agents, Knowledge Bases for RAG, custom model fine-tuning/continued pre-training, Amazon Q (Developer & Business), prompt caching, and multimodal applications.

Guidelines for Responsible AI (14%): Understand fairness, robustness, explainability, privacy, bias detection with SageMaker Clarify, content filtering, and human-centered design principles.

Security, Compliance, and Governance for AI Solutions (14%): Cover IAM access controls, encryption with KMS, CloudTrail auditing, data residency, prompt injection prevention via Bedrock Guardrails, PII redaction, compliance (HIPAA, GDPR, SOC), and least-privilege best practices.

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