AWS Generative AI Developer Professional Certification Training

SKU: 3819
12 Lesson
|
30 Hours
AWS Generative AI Developer Professional (AIP-C01) Course is designed to help you build, deploy, and optimize production-ready generative AI applications on AWS. This training focuses on practical learning with Amazon Bedrock, RAG architectures, vector databases, prompt engineering, AI agents, foundation models, security controls, and serverless integrations to help you develop advanced generative AI solutions and gain confidence in implementing enterprise-scale AI applications on AWS.

Overview

Prerequisites

  • AWS Cloud & Python Fundamentals
  • Generative AI & Foundation Model Concepts
  • Prompt Engineering & RAG Basics
  • API Integration & Security Fundamentals

What Will You Learn

  • Foundation Model Selection and Evaluation
  • Retrieval-Augmented Generation (RAG)
  • Embeddings and Vector Search
  • Multimodal Data Processing
  • Prompt Engineering
  • Agentic AI Workflows
  • Amazon Bedrock Implementation
  • Generative AI Application Integration
  • AI Security and Governance
  • Responsible AI Practices
  • Generative AI Performance Optimization
  • Model Evaluation and Troubleshooting

Who Should Do This Course

  • AWS Cloud Developers
  • AI & Machine Learning Engineers
  • Generative AI & MLOps Engineers
  • Solutions Architects & Cloud Architects
  • Software & Backend Developers

Tools and Technologies Covered

  • Amazon Bedrock
  • Amazon Bedrock Agents
  • Amazon Bedrock Knowledge Bases
  • Amazon Bedrock Guardrails
  • Amazon Q Business
  • Amazon Q Developer
  • Amazon OpenSearch Service
  • Amazon Aurora PostgreSQL (pgvector)
  • Amazon DynamoDB
  • AWS Glue
  • AWS Lambda
  • AWS Step Functions
  • Amazon API Gateway
  • AWS IAM
  • Amazon CloudWatch
  • AWS CloudTrail

Key Features

Course Curriculum

1. Generative AI Fundamentals
2. Foundation Models Overview
3. AWS Generative AI Services
1. Amazon Bedrock Architecture
2. Foundation Model Access
3. Bedrock API Integration
1. Prompt Design Techniques
2. Prompt Optimization
3. Prompt Evaluation
1. RAG Architecture
2. RAG Architecture
3. Embeddings and Vector Search
4. RAG Architecture
1. Amazon OpenSearch Service
2. Vector Indexing
3. Semantic Search
1. Amazon Bedrock Agents
2. Agent Workflows
3. Tool Integration
1. Amazon Bedrock Knowledge Bases
2. Data Ingestion Pipelines
3. Context-Aware Responses
1. AWS Lambda Integration
2. Amazon API Gateway
3. Serverless AI Applications
1. Amazon Bedrock Guardrails
2. AWS IAM
3. Responsible AI Practices
1. Amazon CloudWatch
2. Performance Monitoring
3. Cost Optimization Strategies
1. Multi-Agent Architectures
2. Amazon Q Business
3. Amazon Q Developer
1. AIP-C01 Exam Domains
2. Practice Scenarios
3. Exam Readiness Assessment
Talk To Us

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1-800-7430-173 (US Toll Free)
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Course Fees

Online Class Room Program

US $ 799.00
100% Money Back Guarantee
  • Duration : 30 Hrs
  • Plus Self Paced

Classes Starting From

  • Fast Track Batch 23 Jul 2026
  • Weekday Batch 27 Jul 2026
  • Weekend Batch 25 Jul 2026

1 ON 1 Training

US $ 899.00
100% Money Back Guarantee
  • Duration : 30 Hrs
  • Plus Self Paced

Classes Starting From

  • Fast Track Batch 23 Jul 2026
  • Weekday Batch 27 Jul 2026
  • Weekend Batch 25 Jul 2026

Corporate Training

Corporate Training
  • Customized Training Delivery Model
  • Flexible Training Schedule Options
  • Industry Experienced Trainers
  • 24x7 Support

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AWS Certified Generative AI Developer - Professional Certification

This AWS Generative AI Developer Professional (AIP-C01) Course is aligned with the AWS Certified Generative AI Developer – Professional certification exam. The training helps you develop the skills required to build, deploy, secure, and optimize generative AI applications using Amazon Bedrock, foundation models, RAG architectures, AI agents, vector databases, and AWS cloud services. Upon successful completion of the course, learners receive a Course Completion Certificate from igmGuru and are prepared to pursue the AWS Certified Generative AI Developer – Professional credential.

Exam Overview

  • Official Name: AWS Certified Generative AI Developer – Professional
  • Exam Code: AIP-C01
  • Exam Level: Professional
  • Exam Duration: 180 Minutes
  • Number of Questions: 75 total questions (65 scored questions + 10 unscored pretest questions)
  • Question Types: Multiple Choice and Multiple Response
  • Exam Cost: USD 300 (may vary by region and taxes)
  • Language: English
  • Exam Delivery: Pearson VUE Testing Centers or Online Proctored Exam
  • Certification Validity: 3 Years
  • Passing Score: 750 out of 1000 on a scaled scoring model
AWS Certified Generative AI Developer - Professional Certification

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