Coursera – AWS Generative AI and AI Agents with Amazon Bedrock Professional Certificate

Develop Generative AI Solutions on AWS. Use Amazon Bedrock, Amazon Q Developer, and LangChain to build applications using Generative AI

What you’ll learn
+ Build and deploy generative AI applications using Amazon Bedrock, integrating foundation models for text, language, and summarization tasks
+ Develop generative AI agents and knowledge bases to automate complex tasks and improve decision-making processes in enterprise applications
+ Optimize generative AI model performance through fine-tuning, evaluation jobs, and efficient deployment techniques like prompt caching and routing

Skills you’ll gain
LLM Application
Context Management
Retrieval-Augmented Generation
Responsible AI
Applied Machine Learning
Model Evaluation
Artificial Intelligence and Machine Learning (AI/ML)
Embeddings
Large Language Modeling
Transfer Learning
Generative AI Agents

Tools you’ll learn
LangChain
Prompt Engineering
AI Orchestration
AI Workflows
Amazon Bedrock
Amazon S3
Generative AI
Model Deployment
Amazon Web Service

Start on a journey into the world of generative AI with this AWS Professional Certificate program. Designed for software developers and DevOps engineers, this program will arm you with the skills to use AWS’ generative AI services, particularly Amazon Bedrock, to create generative AI applications.

Throughout this program, you’ll gain hands-on experience with language models and foundation models, learning how to use them for text generation, language understanding, and summarization tasks. You’ll learn Amazon Bedrock, exploring its powerful features including Knowledge Bases, Agents, and Guardrails.

The course outline takes you from fundamental concepts to advanced implementation strategies. You’ll start by understanding the basics of generative AI and how to access foundation models through Amazon Bedrock. As you continue, you’ll learn to create AI-driven agents for task automation, implement knowledge bases for information retrieval, and optimize AI model performance through techniques like fine-tuning and prompt engineering.

A big focus of this program is practical application. You’ll work on projects that simulate enterprise-level challenges, learning to integrate AI capabilities into existing software architectures. You’ll also explore Amazon Q Developer, gaining insights into how generative AI can enhance your development workflow.

By the end of this Professional Certificate, you’ll be ready to design, develop, and deploy generative AI solutions on AWS.

Applied Learning Project

The included projects provide learners with hands-on experience using Amazon Bedrock and Amazon Q Developer to build, deploy, and manage generative AI applications. By applying skills such as prompt engineering, multi-turn conversation handling, tool integration, and content safety enforcement, learners solve authentic development challenges like debugging real code, securing AI outputs, and creating intelligent agents for practical use cases.

Please note: The following hands-on exercises are optional and require access to your own AWS account. Completing these activities may result in minimal usage charges.