What you will learn in the Amazon Bedrock Generative AI Course
- This course introduces Amazon Bedrock, a fully managed AWS service for building generative AI applications using foundation models.
- Learners will explore how Bedrock simplifies integrating large language models into cloud-based applications.
- You will gain hands-on insights into using Bedrock APIs to generate text, automate workflows, and develop intelligent applications.
- The program explains how developers can access multiple foundation models from leading AI providers through a unified API.
- Students will learn how to build scalable AI-powered features such as chatbots, assistants, and automation tools.
- The course also emphasizes secure deployment, governance, and responsible AI practices within the AWS ecosystem.
- By the end of the course, learners will understand how to build generative AI applications using Amazon Bedrock and AWS cloud services.
Program Overview
Introduction to Amazon Bedrock
1 week
This section introduces Amazon Bedrock and generative AI services available within the AWS ecosystem.
- Understand what foundation models are and how they function.
- Learn how Amazon Bedrock simplifies generative AI development.
- Explore use cases such as chatbots, automation, and content generation.
- Recognize the advantages of managed AI services in cloud environments.
Foundation Models & AI Capabilities
1–2 weeks
This section focuses on understanding the foundation models available through Amazon Bedrock.
- Learn how to access multiple foundation models through a unified API.
- Explore text generation, summarization, and content creation capabilities.
- Understand how different models support different application requirements.
- Evaluate model performance and output quality.
Building Applications with Bedrock APIs
2–3 weeks
This section teaches how to integrate Bedrock into cloud-based applications.
- Use APIs to interact with generative AI models.
- Build AI-powered features such as chatbots and intelligent assistants.
- Automate tasks using generative AI workflows.
- Test and refine AI-generated outputs for improved performance.
Security, Governance & Responsible AI
1 week
This section focuses on secure deployment and responsible AI practices.
- Implement security best practices for AI applications.
- Manage access control and permissions within AWS environments.
- Understand responsible AI principles in cloud services.
- Ensure data privacy and regulatory compliance when using AI models.
Final Application Exercise
1 week
In the final stage, you will build a simple generative AI solution using Amazon Bedrock.
- Design an AI-powered application using Bedrock APIs.
- Integrate foundation models into an application workflow.
- Test application performance and evaluate generated outputs.
- Demonstrate foundational skills in AWS-based generative AI development.
Get certificate
Earn the Amazon Bedrock Generative AI Certificate upon successful completion of the course.
Job Outlook
- Cloud-based generative AI development is expanding rapidly as companies integrate AI capabilities into digital products and services.
- Organizations increasingly rely on cloud platforms such as AWS to build scalable AI-powered applications.
- Professionals skilled in AWS AI services and generative AI tools gain strong career opportunities in cloud engineering and AI development.
- Career opportunities include roles such as Cloud Engineer, AI Engineer, Machine Learning Engineer, and Software Developer.
- Knowledge of Amazon Bedrock improves employability in organizations adopting cloud-native AI architectures.
- AWS remains one of the most widely used cloud platforms globally, increasing demand for AWS AI specialists.
- Generative AI development on cloud platforms is expected to grow significantly in the coming years.
