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Developing Generative AI Applications on AWS Course

  • Duration: 16 Hours
  • Exam Voucher: Yes
  • Language: English
  • Course Delivery : E - Learning Access
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Course Overview

The Developing Generative AI Applications on AWS Course focuses on building end-to-end generative AI applications using AWS-native services. The course covers application architecture, integration of foundation models, prompt engineering techniques, orchestration workflows, and deployment considerations. Through hands-on labs and scenario-driven learning, participants gain practical experience in developing scalable, secure, and responsible generative AI applications. This training supports organizations seeking to move from experimentation to real-world generative AI application development on AWS.

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Course Details

  • Design and develop generative AI applications on AWS
  • Apply prompt engineering and model interaction techniques
  • Integrate foundation models into real-world applications
  • Build scalable, secure, and production-ready AI solutions
  • Understand responsible AI, governance, and security considerations
  • Strengthen readiness for advanced AI and cloud application development roles
  • Open to developers, cloud engineers, and AI practitioners
  • Suitable for intermediate and advanced participants
  • Basic programming experience is recommended
  • Familiarity with AWS core services is beneficial
  • Understanding of AI or machine learning concepts is helpful
  • Ideal for teams building AI-powered applications on AWS
  • Access to digital learning platforms required
  • No mandatory prior certification required
  • Architect generative AI applications using AWS services
  • Integrate foundation models into application workflows
  • Implement prompt engineering and response optimization
  • Build APIs and application backends for AI-powered features
  • Apply security, governance, and responsible AI principles
  • Deploy and manage generative AI applications at scale
  • Translate business use cases into functional AI solutions
  • Generative AI application architecture on AWS
  • Foundation models and model access patterns
  • Prompt engineering and application orchestration
  • Building AI-powered APIs and user experiences
  • Data handling, security, and governance considerations
  • Monitoring, optimization, and cost considerations
  • Deployment patterns and scalability strategies
  • Enterprise generative AI application scenarios

Beyond Training | Our Learning Community in Action

We regularly host alumni meetups, expert sessions, and networking events to help professionals stay updated, connected, and industry-ready even after course completion.

“ Alumni meetups that keep professionals connected, visible, and engaged even after completing their training journey. ”

NovelVista Summit community event

“ Learner gatherings designed to strengthen peer connections, real-world networking, and shared growth opportunities. ”

NovelVista learners gathering

“ Expert-led sessions that help professionals stay updated with practical insights, trends, and industry perspectives. ”

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“ A growing community experience built around collaboration, industry readiness, and continuous professional development. ”

NovelVista learning community in action

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What Our Corporate Clients Say

Trusted by leading organizations worldwide

James Abot
★★★★★

Much obliged to you for this course. I get know understanding and information in utilizing various types of online apparatuses which are helpful and viable. I'll utilize some of them during my exercises. Also, heaps of much obliged.

Sayali Patil
★★★★★

This was a very immersive and interesting course from NovelVista a lot of self-learning to be done on your own to really understand and put together into practice the technology into your own course and workflow.

Amit Shrivastav
★★★★★

It was truly an amazing learning session. I did have my apprehensions before signing up, but trainer made me feel so comfortable from the time we started the session till the very end of it.Thanks for this amazing experience.

Frequently Asked Questions

What is included in the Developing Generative AI Applications on AWS Course?+

The course includes structured modules, hands-on development labs, application design scenarios, and knowledge validation activities.

Is there an associated certification exam?+

The course supports advanced generative AI and AWS learning paths. Exam alignment depends on the selected credential option.

Who should enroll in this course?+

Developers, cloud engineers, AI practitioners, and teams responsible for building generative AI applications on AWS.

How is the course delivered?+

Training is available through digital learning, instructor-led virtual sessions, and classroom-based delivery options.

Do I need prior generative AI experience?+

Basic familiarity with AI concepts is helpful, but the course provides structured guidance from application fundamentals onward.

Is hands-on practice included?+

Yes. The course emphasizes practical development labs and real-world generative AI application scenarios.

What value does this course add to organizations?+

It enables organizations to build and deploy scalable generative AI applications on AWS, accelerating innovation while maintaining security and governance.