Learn the basics of how to build cool Gen AI apps using Amazon Bedrock
What you will learn
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
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- Master the Bedrock Ecosystem: Seamlessly integrate into the world of Generative AI by gaining hands-on proficiency with Amazon Bedrock, AWS’s powerful managed service, enabling you to build, train, and deploy sophisticated AI models with efficiency and scalability.
- Ignite Your Creativity with AI: Discover how to command advanced AI models to generate dynamic content, from crafting compelling text to synthesizing unique images, transforming your creative concepts into tangible digital assets.
- Build Intelligent, Context-Aware Applications: Dive deep into Retrieval Augmented Generation (RAG) to develop AI applications that not only generate responses but do so with real-time, verifiable information, significantly enhancing accuracy and relevance for your users.
- Extract Order from Chaos: Learn to harness the power of Generative AI to automatically process vast amounts of unstructured text, extracting structured, actionable insights and automating data analysis workflows like never before.
- Develop Production-Ready AI Solutions: Go beyond theoretical understanding by implementing robust observability frameworks and essential safeguards, ensuring your Generative AI applications are reliable, secure, and operate responsibly in a production environment.
- Unlock Real-World Use Cases: Explore a broad spectrum of practical Generative AI applications across various industries, gaining the strategic insight to identify opportunities and apply these transformative technologies to solve complex business challenges.
- Become a Prompt Engineering Expert: Cultivate the critical skill of prompt engineering, mastering the art of crafting precise and effective prompts that guide AI models to deliver optimal, highly targeted outputs for specific tasks.
- Architect Scalable AI Workflows: Understand how to seamlessly embed Generative AI capabilities into your existing or new software architectures, leveraging the full power of the AWS cloud for scalable, high-performance deployments.
- Future-Proof Your Development Career: Equip yourself with in-demand Generative AI skills, positioning yourself as a crucial innovator capable of navigating and contributing to the rapidly evolving landscape of artificial intelligence.
- Navigate AI Responsibly: Gain a foundational understanding of ethical considerations in AI development, learning to build applications that are fair, transparent, and designed with responsible AI principles at their core.
- PROS:
- Hands-On Practicality: Provides immediate, project-based experience using a leading cloud platform, building tangible applications rather than just theoretical understanding.
- AWS Ecosystem Integration: Offers a focused pathway into leveraging Amazon’s robust Generative AI services, an invaluable skill for cloud-native development.
- Comprehensive Foundational Skills: Covers essential, modern Generative AI concepts like RAG, image generation, and safety, equipping learners with a well-rounded starter toolkit.
- Career-Accelerating Knowledge: Delivers highly sought-after skills in a rapidly growing field, opening doors to new opportunities in AI development and engineering.
- CONS:
- Platform Specificity: While mastering Bedrock is a strength, the course’s exclusive focus on AWS might offer less exposure to other prominent Gen AI platforms and tools.
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