While the promise of generative AI is boundless, it comes hand-in-hand with unique security considerations. In this course, AWS-certified software programmer and DevOps advocate Dipali Kulshrestha explores generative AI as a tool to revolutionize customer experiences, innovate uncharted applications, and elevate organizational productivity, while also discussing the corresponding security considerations. Learn about Amazon Bedrock and the very convenient way it provides to simplify generative AI development, with foundation models from Amazon and leading AI startups. Explore the architectures, data flows, and security-related aspects of model fine-tuning, as well as the prompting and inference phases. Plus, find out how Amazon Bedrock uses AWS security services and capabilities, such as AWS KMS, AWS CloudTrail, and AWS Identity and Access Management (IAM).

If you’re looking for new ways to leverage AI as a software developer, this course was designed for you. Get an essential overview of how you can start using AI to improve your development productivity, creativity, and professional problem-solving skills. Join instructor Temidayo Adefioye as he shows you how to successfully integrate tools like Microsoft Copilot and ChatGPT into your workflow, while also appreciating the value of AI as a supplement rather than a mere replacement for your own personal process.

Learn how to upskill and become an AI-powered developer to remain competitive and innovative in the industry. This course covers the following concepts and provides hands-on examples and demos along the way: the role of AI in development, how to effectively use prompts, code optimization, automated testing and quality assurance, intelligent debugging and issue resolution strategies, collaborative development for remote teams, documentation techniques, interview preparation, and more.