Data Engineering with AWS Machine Learningby Kim Schmidt The whole field of machine learning revolves around data. This course will teach you how to properly choose between the various AWS data repositories, ingestion services, and transformation services in a cost-effective, best-practice manner....
pythonawsdata-sciencemachine-learningairflowscalasqlbig-datasparkmongodbhadoopagileetldata-engineeringpowerbidata-engineer UpdatedFeb 10, 2024 Data Engineering Project with Hadoop HDFS and Kafka pythondockerdatakafkahadoopdocker-composedata-engineeringkafka-consumerhdfskafka-producerhdfs-dfshadoop-filesystemdata-...
AWS Lambda功能是在AWS上创建复杂应用程序和服务的构建块。在本LiveLesson中,您将学习使用Python开发与关键AWS服务通信的Lambda函数:API网关、SQS和CloudWatch函数。您还将了解新的基于云的开发环境Cloud9如何简化AWS Lambda函数的编写、调试和部署。 你将学到什么 在AWS上执行数据工程任务 使用Cloud9进行开发 用Python编...
Set up resources withAWS CloudFormation. Preprocess the dataset, including PII detection and fine-grained access control, on an AWS Glue interactive session. Perform feature engineering on an AWS Glue interactive session. Train and deploy an ML...
Data labeling with a human-in-the-loop Prepare data Data preparation with SQL in Studio Data preparation at scale using Amazon EMR Data preparation using AWS Glue interactive sessions Prepare Data with Data Wrangler Get Started with Data Wrangler Import Create and Use a Data Wrangler Flow Get Ins...
This Data Engineering course is ideal for professionals and equips you with Python, SQL, NoSQL, Big Data, Snowflake, AWS, Azure & GCP fundamentals. Prepare for in-demand certifications (AWS, Azure & Snowflake) and build your portfolio using the Capstone pr...
Feature engineering After we understand the patterns present in our dataset, we can start to engineer new features aimed to increase the accuracy of the forecasting models. Featurize datetime Let’s start the feature engineering process with more straightforward date/time features. Date/time features...
Prompt engineering Fine-tuning Fine-tune a model using domain adaptation Fine-tune a model with prompt instructions Retrieval Augmented Generation Evaluate a Model Example notebooks Access control Admin guide Create a private model hub Add models to a private hub Cross-account sharing Set up cross-ac...
and she is actively working on designing solutions using various AWS ML, big data, and analytics offerings. Prachi has experience in multiple domains, including healthcare, benefits, retail, and education, and has worked in a range of positions in product engineering and architecture, management...
s private data sources for RAG to deliver more relevant, accurate, and customized responses. You can then use your knowledge base withAmazon Bedrock Agentsto orchestrate multi-step tasks and facilitate prompt engineering. For more information, refer toKnowledge Bases now deliv...