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所在平台: Udemy |
课程主页: https://www.udemy.com/course/llmops-masterclass-generative-ai-mlops-aiops/
课程评论：没有评论
课程名：LLMOps大师班2025 - 生成式AI - MLOps - AIOps 概述：通过我们的综合课程“LLMOps - 生成式AI - MLOps - AIOps大师班2025”，释放生成式AI的潜力。从基础知识到高级应用的部署，本课程旨在为您在人工智能时代的成功奠定知识和技能基础。以下是您学习旅程的分阶段内容： 1. **课程介绍**：深入了解LLM Ops的世界，了解LLM操作的基础和Prompt工程的重要性。 2. **应对生成式AI浪潮**：探讨生成式AI对日常生活的深远影响，学习AI基础知识及其多样化应用。 3. **开始生成式AI之旅**：通过深入研究生成与判别模型的区别和生成式AI的实际应用，掌握这一变革性技术。 4. **Prompt工程**：揭示Prompt工程的奥秘，学习其架构、成分、策略和生成技巧，提供实际应用的全面模块。 5. **LLM的技术细节**：深入理解LLM及其基础原理，研究LLM的训练、企业应用等主题。 6. **项目1 - 使用ChatGPT构建LLM应用**：通过实践项目，将您的知识付诸行动，了解从前置条件到部署的每一个步骤。 7. **AI/LLM应用的打包**：掌握高效打包和部署AI应用的技巧，学习使用FastAPI、Docker等工具。 8. **使用Kubernetes部署容器应用**：发现Kubernetes在部署和编排容器化应用中的强大功能。 9. **GitHub Actions**：探索GitHub Actions在自动化工作流程和增强协作方面的能力，掌握配置工作流程的技巧。 10. **在Google Cloud上设置Kubernetes**：发挥Google Cloud Platform在Kubernetes部署中的潜力，获得应用在GKE集群上运行的实用见解。 11. **在GKE上实现CI/CD与GitHub Actions**：优化开发管道，学习配置GitHub Secrets和标准化流程。 12. **介绍Hugging Face库**：探索Hugging Face库在构建AI应用中的多功能性。 13. **项目2 - 使用Hugging Face构建生成式AI应用**：进行实践项目，测试您的Hugging Face技能。 14. **生产中LLM模型的监控**：学习监测和优化LLM应用以确保其可靠性和性能。 15. **LLMOps基础**：掌握LLM Ops的基础，通过模块覆盖版本控制系统、Git设置及CI/CD演示，为后续高级概念打下基础。 开启您的LLM Ops大师之旅，跟上人工智能不断发展的步伐，今天就加入我们，解锁无限可能的世界。
Unlock the potential of Generative AI with our comprehensive course, "LLMOps - Generative AI - MLOps - AIOps Masterclass 2025" From understanding the fundamentals to deploying advanced applications, this course equips you with the knowledge and skills to thrive in the era of artificial intelligence.Here's how your learning journey look like (Section wise):Introduction to Course: Dive into the world of LLM Ops with "Introduction to LLM Ops with Prompt Engineering." Gain insights into the foundations of LLM Operations and the significance of Prompt Engineering.Navigating the Generative AI Tsunami: Explore the profound impact of Generative AI on everyday life. From understanding AI fundamentals to exploring its diverse applications, equip yourself with essential knowledge through modules such as "Impact of Generative AI in Day to Day Life" and "Real World Applications of Generative AI."Getting Started with Generative AI: Delve deeper into Generative AI concepts with modules covering topics like "Generative vs Discriminative Models" and "Real World Applications of Generative AI." Get hands-on experience and unlock the potential of this transformative technology.Prompt Engineering: Uncover the secrets behind Prompt Engineering and understand its widespread attention in the world. Learn about the architecture, components, strategies, and techniques of Prompt Generation through comprehensive modules tailored for practical implementation.Technical Details of LLM: Gain a profound understanding of LLM and its underlying principles. Explore topics such as LLM training, enterprise applications, and the idea behind LLM through detailed modules designed to enhance your technical expertise.Project 1 - Building LLM Application using ChatGPT: Put your knowledge into action by embarking on a project to build an LLM application using ChatGPT. From prerequisites to deployment, this project will guide you through every step of the process, ensuring hands-on learning.Packaging the AI/ LLM Application: Learn to package and deploy AI applications efficiently with modules covering FastAPI, Docker, and more. Master the art of containerization and streamline your deployment process with industry-standard practices.Deploying the Container Application with Kubernetes: Discover the power of Kubernetes in deploying and orchestrating containerized applications. From installation to scaling, learn the ins and outs of Kubernetes deployment and enhance your proficiency in container management.Github Actions: Explore the capabilities of GitHub Actions in automating workflows and enhancing collaboration. From introduction to implementation, master the art of configuring workflows tailored to your specific use cases.Setting Up Kubernetes on Google Cloud: Unlock the potential of Google Cloud Platform for Kubernetes deployment. From setting up your account to testing deployment files, gain practical insights into running applications on GKE clusters.Implement CI/CD with Github Actions - GKE: Optimize your development pipeline with continuous integration and continuous deployment. Learn to configure GitHub Secrets, adhere to industry standards, and streamline your deployment process for seamless project management.Introducing Hugging Face Library: Discover the versatility of the Hugging Face Library in building AI applications. From text classification to finetuning models, explore the vast possibilities offered by this powerful toolkit.Project 2 - Building Generative AI App using Hugging Face: Put your Hugging Face skills to the test with a project focused on building a Generative AI application. From understanding text generation pipelines to setting up CI/CD pipelines, elevate your expertise in AI development.Monitoring of LLM Models in Production: Ensure the reliability and performance of LLM models in production with monitoring techniques. Explore platforms like WhyLabs and Langkit to gain insights into monitoring and optimizing LLM applications.LLMOps Basics: Master the basics of LLM Ops with modules covering version control systems, Git setup, and CICD demonstrations. Strengthen your foundation in LLM Ops and prepare yourself for advanced concepts.Embark on your journey to mastering LLM Ops and stay ahead in the ever-evolving landscape of artificial intelligence. Join us today and unlock a world of endless possibilities.
