About this Course
This course offers a streamlined introduction to artificial intelligence on AWS, guiding learners from core concepts to real-world applications, while also helping learners understand the core concepts of generative AI and prepare for the AWS Certified AI Practitioner exam. In this course, learners will explore generative AI and foundation models, including how they work, common use cases, and how Amazon Bedrock enables scalable AI solutions. The course also highlights practical ways to apply foundation models for tasks like text generation, search, summarization, and vision, along with tools that simplify deployment and customization. To complete the learning journey, participants review essential principles for building secure and responsible AI systems, including fairness, privacy, governance, and compliance, supported by AWS best practices and frameworks. By the end, learners will understand AI fundamentals, how to use generative AI on AWS, and how to build safe, effective AI applications
What You'll Learn
- Discuss the AWS Well-Architected Framework and build database solutions accordingly
- Identify data categories and align them with AWS database services
- Compare and categorize AWS relational and non-relational database services
- Determine the appropriate database for specific application requirements
Prerequisites
- Basic computer and internet skills are helpful
- Ability to read course instructions in English and complete short practice activities
Instructors
AWS Instructor