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所在平台: Udemy |
课程主页: https://www.udemy.com/course/databricks-certified-genai-engineer-associate-practice-tests/
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课程名称：Databricks认证生成AI工程师实践集 课程概述： 本课程旨在为准备Databricks认证生成AI工程师助理考试的学员提供实用的练习测试，帮助他们掌握通过认证所需的知识和技能，提升在Databricks上构建、部署和优化生成AI应用的能力。课程内容与实际认证考试的主题、题型及深度相似，帮助学员发现改进领域并在真实考试环境中提升技能。 学习内容： 1. 生成AI应用设计：了解如何设计提示、选择模型及构建符合业务需求的链组件。 2. 数据准备：掌握文档分块、过滤多余内容，并使用Delta Lake和Unity Catalog为有效的检索增强生成(RAG)准备数据。 3. 生成AI开发：学习为每个任务选择最佳模型和工具、优化大语言模型(LLM)输出、构建安全的基于代理的应用，并集成LangChain和MLflow。 4. 部署与监控：实践在Databricks上部署LLM，学习模型服务、向量搜索及Unity Catalog的应用，并监控应用的质量、性能和成本控制。 5. 治理与安全：探索通过Databricks AI安全框架(DASF)进行数据掩码、风险管理和合规性的方法。 6. 评估与优化：熟悉评估和优化LLM性能的核心指标，如延迟、吞吐量和模型使用率。 适用人群： - 数据科学家、AI工程师及软件开发人员，想要在Databricks上获得生成AI应用的实践经验。 - 准备Databricks认证生成AI工程师助理考试的专业人士，想要测试知识并提升自信心。 - 任何对生成AI、提示工程及RAG应用最新趋势感兴趣的人。 课程特点： - 综合练习题：提供270道与实际考试相似的练习题，涵盖所有主要领域和主题。 - 详细讲解：每道题目附有详细解释，帮助学员理解答案的正确性，加深知识。 - 考试模拟格式：真实的限时问题，能够模拟现场考试体验，帮助学员在限时条件下提升应试技巧。 - 与最新考试指南对齐的更新：题目定期更新，确保反映最新的Databricks考试形式、概念和技术。 为什么参加本课程？ 通过本次实战测试，您将全面了解生成AI解决方案的关键组成部分，包括提示工程、模型选择及在Databricks上的部署，数据高效准备方法以及高级部署策略（包括批量和实时部署），评估LLM性能的重要指标和方法，确保质量并控制成本。提升自己的技能和自信，顺利通过Databricks认证生成AI工程师助理考试，助力在快速发展的生成AI领域的职业生涯。立即报名，迈出获得认证成功的第一步！
Course Description: Databricks Certified Generative AI Engineer Associate Practice TestAre you preparing for the Databricks Certified Generative AI Engineer Associate exam? This practice test course is designed to help you master the knowledge and skills you'll need to confidently pass the certification and become proficient in building, deploying, and optimizing Generative AI applications on Databricks.The Databricks Certified Generative AI Engineer Associate certification assesses your ability to leverage large language models (LLMs) for AI solutions on the Databricks platform. This course is specifically crafted to mirror the topics, question types, and depth of the actual certification, enabling you to identify areas for improvement and refine your skills in a real exam-like environment.What You'll Learn:Application Design for Generative AI: Understand how to design prompts, select models, and build chain components tailored to business requirements.Data Preparation: Master document chunking, filtering extraneous content, and preparing data with Delta Lake and Unity Catalog for effective retrieval-augmented generation (RAG).Generative AI Development: Learn to choose the best models and tools for each task, optimize LLM outputs, build secure agent-based applications, and integrate LangChain and MLflow.Deployment and Monitoring: Practice deploying LLMs on Databricks with model serving, vector search, and Unity Catalog, and learn to monitor applications for quality, performance, and cost control.Governance and Security: Explore methods for data masking, risk mitigation, and complying with data security regulations through the Databricks AI Security Framework (DASF).Evaluation and Optimization: Familiarize yourself with core metrics such as latency, throughput, and model utilization for evaluating and optimizing LLM performance in real-world applications.Who This Course Is For:Data scientists, AI engineers, and software developers who want to gain hands-on experience in building and deploying generative AI applications on Databricks.Professionals preparing for the Databricks Certified Generative AI Engineer Associate exam who want to test their knowledge and boost their confidence before the exam.Anyone looking to understand the latest trends in generative AI, prompt engineering, and RAG applications on the Databricks Lakehouse platform.Course Features:Comprehensive Practice Questions: 270 practice questions designed to mirror the actual exam, covering all the major sections and topics of the certification.Detailed Explanations: Each question comes with a detailed explanation, helping you understand why each answer is correct and reinforcing your knowledge.Exam-Simulation Format: Realistic, time-bound questions that simulate the experience of the live exam, helping you build your test-taking skills under timed conditions.Updates Aligned with the Latest Exam Guide: Questions are regularly updated to ensure they reflect the latest Databricks exam format, concepts, and technologies.Why Take This Course?By the end of this practice test, you'll have a solid understanding of:Key components of generative AI solutions, including prompt engineering, model selection, and deployment on DatabricksHow to efficiently prepare data for AI applications on Databricks and ensure governanceAdvanced deployment strategies, including batch and real-time deployments, for serving generative AI models in productionImportant metrics and methods for evaluating LLM performance, ensuring quality, and controlling costs in real-world AI applications.Equip yourself with the skills and confidence to ace the Databricks Certified Generative AI Engineer Associate exam and advance your career in the rapidly growing field of generative AI. Enroll now and take the first step toward certification success!
