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所在平台: Udemy |
课程主页: https://www.udemy.com/course/bedrock_vertexai/
课程评论：没有评论
课程名称：代理人工智能与RAG - AWS Bedrock、Google Vertex AI、S3、Lambda 课程概述：本课程非常适合希望掌握生成式人工智能的学生、数据科学家、AI/ML工程师、开发人员和产品经理。课程使用AWS Bedrock和Google Vertex AI，不需要任何Python经验，非常适合初学者，让他们能够轻松入门人工智能领域而无需陡峭的学习曲线。 课程内容包括生成式人工智能和云计算的基础知识，随后将深入到实践项目，利用AWS Bedrock中的S3、Lambda和API Gateway等服务。学员将通过创建知识库、RAG（检索增强生成）以及设置防护措施来确保输出安全可靠，构建实际应用。同时，还将探索Google Vertex AI，涵盖动态实时决策的代理人工智能和创建智能AI系统的Vertex AI RAG。学员还将整合API和云函数，以进一步增强他们的应用程序。 课程中还涵盖AWS AI产品，如Amazon Q、SageMaker AI，以及Google云AI产品。通过全面的实践与清晰的讲解，此课程确保学员掌握生成式人工智能和云AI服务的实用技能。到课程结束时，学员将具备构建可扩展AI驱动应用程序的能力，为在不断发展的AI领域推进职业生涯做好准备。课程内容将定期更新，以提供最新的学习资源。
This course is ideal for students, data scientists, AI/ML engineers, developers, and product managers who want to master Generative AI using AWS Bedrock and Google Vertex AI. No prior Python experience is required, making it accessible to beginners eager to dive into the world of AI without the steep learning curve.We'll cover the essentials of Generative AI and cloud computing before delving into hands-on projects using AWS Bedrock services like S3, Lambda, and API Gateway. You'll build applications with knowledge base creation, RAG (Retrieval-Augmented Generation), and guardrail setups to ensure safe, reliable AI outputs.In addition, you'll explore Google Vertex AI, where we'll cover Agentic AI for dynamic, real-time decision-making and Vertex AI RAG to create intelligent AI systems. You'll also integrate APIs and cloud functions to enhance your applications further.We'll cover AWS AI offerings like Amazon Q, SageMaker AI and Google cloud AI offerings.With comprehensive hands-on practice and clear explanations, this course ensures that you gain practical skills in Generative AI and cloud AI services. By the end, you'll be equipped to build scalable, AI-powered applications, making it perfect for advancing your career in the ever-evolving AI field. The course will get updated with new content regularly.
