Developing Generative AI applications on AWS Course

The Developing Generative AI applications on AWS Course is aimed at developers, data scientists, and AI practitioners that want to exploit the power of AWS to develop leading-edge generative AI applications. Generative AI is about developing models that can generate new content, such as text, images, code, or synthetic information, similar to the level of human creativity. The course will introduce participants to a number of AWS capabilities, including Amazon SageMaker for training models, Amazon Bedrock for access to foundation models, and AWS Lambda for deploying scalable serverless applications.

Participants will have the opportunity to engage in hands-on experience with designing, developing and deploying generative AI models that can be used for a broad range of use cases, such as personalized recommendations, content creation, simulation or/more. The course content discusses working with existing models, tailoring these models to specific tasks, and how to optimize performance for a cloud-based solution.

Upon completing this course, learners will understand how to leverage AWS services to create effective, secure, and scalable generative AI solutions. This training is perfect for organizations wanting to stay ahead in the AI revolution. SSDN Technologies, known as the Best Corporate Training Company , has greatly assisted companies with AI and Cloud Computing focuses on corporate training helps equip organizational personnel with up-to-date industry standards training provided by skilled specialists ensures appropriate quality of learning. 


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Learning Options for You

  • Live Training (Duration : 24 Hours)
  • Per Participant

Fee: On Request

Course Prerequisites

  • Knowledge of Python programming and ML fundamentals
  • Familiarity with AWS services (S3, Lambda, IAM, API Gateway)
  • Understanding of deep learning or NLP concepts helpful

Learning Objectives

The Developing Generative AI Applications on AWS course teaches learners how to leverage foundation models (FMs), Amazon Bedrock, SageMaker, and other AWS services to create generative AI applications. Participants gain hands-on experience in prompt engineering, fine-tuning models, deploying APIs, and integrating AI into real-world applications such as chatbots, content generation, and summarization tools. The course also emphasizes responsible AI practices, scalability, cost optimization, and security considerations. Completing this course equips professionals to design, develop, and deploy production-ready generative AI solutions on AWS.

Target Audience

  • AI/ML developers and data scientists exploring generative AI
  • Solution architects designing AI-powered applications
  • Software engineers integrating LLMs into applications
  • Learners preparing for AWS AI/ML and generative AI certifications

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