Free Coupon Code AWS GenAI Developer Pro AIP-C01 Exam 2026 100% OFF

Udemy Free coupon code for AWS GenAI Developer Pro AIP-C01 Exam 2026 course taught by Certification Expert, which has 317 students and is rated 0.0 out of 0 votes. This course is about in English and was updated on February 16, 2026. You can use this Udemy course with a free certificate and find the coupon at the bottom of this page.

Professional Machine Learning Engineer practice exam certification with scenario based questions, detailed explanations

Bridge the gap between AI theory and production-grade applications with the most comprehensive prep guide for the AWS Certified Generative AI Developer - Professional (AIP-C01) exam.

Generative AI is moving from experimental "chatbots" to mission-critical enterprise systems. The AIP-C01 is the premier professional-level credential for developers who can architect, secure, and scale these solutions on the world’s leading cloud platform. This course is designed to take you deep into the Amazon Bedrock and SageMaker ecosystems, focusing on the real-world integration of Foundation Models (FMs) into scalable software architectures.

Rather than just focusing on prompt engineering, we dive into the "Plumbing of AI"—building robust Retrieval-Augmented Generation (RAG) pipelines, orchestrating multi-step Agents, and implementing enterprise-grade Guardrails to ensure safety and compliance.

What You Will Master:

• Model Orchestration: Master Amazon Bedrock to invoke, stream, and manage models like Claude 3.5, Llama 3, and Amazon Titan.

• Advanced RAG Pipelines: Build "long-term memory" for your AI using Knowledge Bases for Bedrock and vector databases like Amazon OpenSearch Serverless and Aurora pgvector.

• Agentic Workflows: Create Agents for Amazon Bedrock that don't just talk, but act by executing API calls and Lambda functions to complete complex tasks.

• Responsible AI & Governance: Implement Guardrails for Bedrock to filter toxic content and PII, and use AWS PrivateLink to ensure your data never leaves the AWS network.

• Performance & Optimization: Compare models using Model Evaluation and optimize costs using Provisioned Throughput for high-demand production workloads.

Why Choose This Course?

• Professional-Level Depth: We move beyond the basics, focusing on the architectural trade-offs between latency, cost, and accuracy.

• 100% Scenario-Based: Every module mirrors the "Professional" exam style—presenting a business problem and requiring you to choose the most efficient AWS solution.

• 2026 Curriculum Ready: Updated for the latest features, including Bedrock Data Automation, advanced Custom Model fine-tuning, and the latest Titan model family updates.

By the end of this course, you will be prepared to lead AI initiatives at the highest level, transforming businesses with secure, scalable, and intelligent Generative AI applications.