AWS Gen AI Course
- Duration: 24 hours
- Exam Voucher: Yes
- Language: English
- Course Delivery : E - Learning Access
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Course Overview
The AWS Gen AI Course is designed to help professionals understand and apply generative AI using AWS services. It introduces the fundamentals of generative AI and focuses on how organisations use these technologies to create content, automate processes, and enhance user experiences.
Learners gain hands-on exposure to AWS tools that support generative AI development, including model access, prompt-based interactions, and application integration. The course focuses on practical implementation, enabling learners to move from understanding concepts to building real-world AI-powered solutions.
This training is typically delivered as a focused program, while self-paced learners can complete it over a flexible timeline depending on their availability.
Course Details
- Understand the fundamentals of generative AI and how it works in real-world scenarios
- Explore AWS services used for building generative AI applications
- Learn prompt design techniques to generate accurate and useful outputs
- Build applications that use text, image, or conversational AI capabilities
- Improve productivity by integrating generative AI into workflows
- Gain confidence to apply generative AI in business and technical environments
- Ideal for cloud professionals, architects, developers, and technical leads.
- Suitable for professionals involved in AI, data, or cloud-based initiatives.
- Basic understanding of cloud computing concepts recommended.
- No prior generative AI implementation experience required.
- Understand core generative AI concepts and how foundation models work
- Use AWS services to access and interact with generative AI models
- Design effective prompts for different use cases and outputs
- Build simple generative AI applications using AWS tools
- Integrate generative AI into existing systems and workflows
- Apply responsible AI practices, including ethical use and data considerations
- Generative AI Fundamentals and Use Cases.
- Foundation Models and GenAI Architectures.
- Prompt Engineering Concepts and Best Practices.
- AWS Services for Generative AI Solutions.
- Data Integration, Security, and Governance.
- Cost Management and Performance Considerations.
- Responsible and Ethical Use of Generative AI.
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