Learning AWS Certified Generative AI Developer Professional AIP-C01

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Free Download AWS Certified Generative AI Developer Professional AIP-C01
Published 11/2025
Created by Jon Bonso AWS Generative AI Developer, AWS Certified Solutions Architect,Samantha Vivien Servo,Kayne Rodrigo
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 164 Lectures ( 18h 48m ) | Size: 6.81 GB

Build production-ready GenAI using Amazon Bedrock, SageMaker, RAG, vector stores, security with this AIP-C01 exam prep
What you'll learn
Design scalable GenAI architectures with FMs, RAG, vector stores, and AWS services (Amazon Bedrock, SageMaker, OpenSearch).
Implement and deploy Foundation Models and agentic systems using Bedrock, SageMaker, Lambda, Step Functions, and CI/CD.
Build retrieval pipelines: embeddings, vector DBs, chunking, and semantic search to ground LLM responses and reduce hallucinations.
Apply security, governance, Responsible AI, cost optimization, and monitoring to production GenAI applications for reliability.
Requirements
Basic AWS familiarity (EC2, S3, IAM) and programming experience (Python or Node). Recommended: 1-2 years building cloud apps; we'll bridge gaps for beginners.
Description
The AWS Certified Generative AI Developer - Professional AIP-C01 certification is one of the newest and most advanced credentials in AWS. This certification validates a professional's ability to design, implement, and optimize Generative AI (GenAI) solutions in production using AWS services. As companies increasingly adopt AI and ML technologies, demand for skilled GenAI developers who can integrate foundation models (FMs), implement retrieval-augmented generation (RAG), manage prompt engineering, and ensure responsible AI practices is rapidly growing.This video training course offers a concise and structured path to mastering the AIP-C01 exam objectives, covering both the foundational concepts of AI/ML and the advanced skills necessary for production-grade GenAI solutions on AWS. It contains the following sections:Exam Overview - Covers the exam domains, weighting, question types, scoring, and other critical information needed before booking the AIP-C01 exam.AWS & Generative AI Basics - Introduces AWS core services and global infrastructure, along with an overview of foundational AI/ML and GenAI concepts.AWS Services Walkthrough - Detailed discussion of AWS services most relevant for GenAI, including Bedrock, SageMaker, Lambda, OpenSearch, and other compute, storage, and data integration services.Deep Dive into Critical Services - In-depth coverage of services essential for AIP-C01, such as Bedrock Agents, SageMaker model deployment, vector databases, prompt management, and observability tools. Each section includes mini-quizzes to reinforce learning.Service Comparisons - Side-by-side comparisons of similar AWS services with guidance on selecting the right tools for specific GenAI workloads.Exam Tips and Test-Taking Strategies - Proven strategies to confidently tackle multiple-choice, multiple-response, and scenario-based questions.
Who this course is for
Cloud engineers, ML/AI engineers, software architects, DevOps or backend devs, and technical leads who want to build production GenAI systems and prepare for the AWS Generative AI Professional exam. This is ideal if you want practical, job-ready skills-beyond theory-mapped to the AIP-C01 exam outline.
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