Learn the basics of how to build cool Gen AI apps using Amazon Bedrock
What you will learn
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Learn about Amazon Bedrock and its API
Build a simple Generative AI app using Python and Amazon Bedrock
Learn about RAG – Retrieval Augmented Generation
Build a RAG based app with Amazon Bedrock
Build apps to generate images and produce structured output from unstructured text
Build Observability and Safeguards
Learn about popular Generative AI use cases
Add-On Information:
- Gain foundational knowledge in how large language models (LLMs) and other foundation models (FMs) operate, understanding their core principles and capabilities beyond mere application usage.
- Harness the power of a managed service like Amazon Bedrock to streamline generative AI development, focusing on innovation rather than infrastructure management and complex deployments.
- Develop critical thinking skills to evaluate and select the optimal generative AI model from a diverse portfolio for specific tasks, ensuring efficient resource utilization and superior output quality.
- Master the art of prompt engineering, crafting precise and effective prompts to guide models towards desired creative and informational outcomes, a crucial skill for maximizing AI utility.
- Explore the ethical landscape of generative AI, understanding responsible deployment practices, mitigating biases, and navigating data privacy concerns inherent in AI-driven applications.
- Acquire essential skills for integrating AI functionalities into existing software architectures, enabling the transformation of traditional applications with dynamic and intelligent capabilities.
- Uncover best practices for optimizing model performance and managing costs associated with running sophisticated generative AI workloads on cloud platforms like AWS.
- Understand the architectural patterns required to build scalable, resilient, and secure generative AI solutions, preparing you for enterprise-level application development.
- Position yourself at the forefront of AI innovation by gaining insights into emerging trends and the future potential of generative AI across various industries.
- PROS:
- Practical, Hands-On Learning: The course emphasizes building, allowing you to directly apply theoretical concepts to real-world projects and solidify your understanding.
- Cloud-Native Expertise: You will develop highly marketable skills in Amazon Web Services, a leading cloud platform, enhancing your professional portfolio.
- Accelerated Development: Learn to rapidly prototype and deploy AI solutions using Bedrock’s managed services, significantly reducing development cycles and time-to-market.
- Industry-Relevant Skills: Focuses on technologies and techniques highly sought after in the current job market, directly preparing you for generative AI roles.
- CONS:
- Potential Cloud Cost Considerations: Practical exercises and extended experimentation may incur AWS usage costs, requiring careful monitoring to avoid unexpected expenses.
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