What you will learn in the Generative AI Development on AWS Course
- This course introduces developers to building generative AI applications using Amazon Web Services (AWS).
- Learners will explore how large language models and foundation models can be deployed and managed within the AWS ecosystem.
- You will gain insights into using AWS services such as Amazon Bedrock and other AI tools to create scalable generative AI solutions.
- The program explains how developers integrate generative AI capabilities into modern cloud-based applications.
- Students will learn practical workflows for interacting with AI models through APIs and cloud services.
- The course also highlights security, governance, and responsible AI practices in AWS environments.
- By the end of the course, learners will understand how to start developing generative AI applications using AWS cloud infrastructure.
Program Overview
Introduction to Generative AI on AWS
1 week
This section introduces the fundamentals of generative AI and AWS AI services.
- Understand how foundation models power generative AI systems.
- Learn how AWS supports AI application development.
- Explore common generative AI use cases such as chatbots and automation.
- Recognize the advantages of cloud-based AI development.
AWS Generative AI Services
1–2 weeks
This section focuses on the key AWS services used in generative AI development.
- Learn how Amazon Bedrock provides access to foundation models.
- Explore AWS tools for building AI-powered applications.
- Understand model management and integration strategies.
- Evaluate different AI capabilities available on AWS.
Building Generative AI Applications
2–3 weeks
This section explains how developers integrate generative AI into software applications.
- Use APIs to interact with foundation models.
- Develop AI-powered features such as content generation and automation.
- Implement scalable cloud-based AI workflows.
- Test and refine AI-generated outputs.
Security, Governance & Responsible AI
1 week
This section focuses on safe and responsible AI deployment within AWS environments.
- Understand security best practices in AWS cloud environments.
- Implement access control and data protection measures.
- Learn responsible AI usage and governance principles.
- Ensure reliability and transparency in AI-powered systems.
Final Application Exercise
1 week
In the final stage, you will apply your knowledge to build a simple generative AI application.
- Design an AI-powered feature using AWS tools.
- Integrate foundation models into your application workflow.
- Evaluate system performance and generated results.
- Demonstrate practical generative AI development skills.
Get certificate
Earn the Generative AI Development on AWS Certificate upon successful completion of the course.
Job Outlook
- Generative AI development is expanding rapidly as companies integrate AI capabilities into digital products and services.
- Cloud platforms like AWS are widely used to deploy scalable AI solutions across industries.
- Professionals skilled in AWS generative AI tools gain strong career opportunities in modern technology environments.
- Career opportunities include roles such as AI Engineer, Cloud Developer, Machine Learning Engineer, and Software Engineer.
- Organizations increasingly seek developers who combine cloud infrastructure expertise with AI technologies.
- AWS remains one of the most widely used cloud platforms globally, increasing demand for AWS AI specialists.
- Generative AI cloud development skills are expected to remain highly valuable in the evolving technology landscape.
