Security is a concern for both customers in the cloud, and those considering cloud adoption. An increase in cyberattacks and data leaks remains top of mind for most industry personnel. The Security Engineering on AWS course addresses these concerns by helping you better understand how to interact and build with Amazon Web Services (AWS) in … Continue reading AWS-SISECO: Security Engineering on AWS
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AWS-MLMLEA: Machine Learning Engineering on AWS
Machine Learning (ML) Engineering on Amazon Web Services (AWS) is a 3-day intermediate course designed for ML professionals seeking to learn machine learning engineering on AWS. Participants learn to build, deploy, orchestrate, and operationalize ML solutions at scale through a balanced combination of theory, practical labs, and activities. Participants will gain practical experience using AWS … Continue reading AWS-MLMLEA: Machine Learning Engineering on AWS
AWS-MLGAIE: Generative AI Essentials on AWS
In this course, you will learn about the fundamental concepts, methods, and strategies for using generative AI. You will gain a solid understanding of use cases where generative AI can provide solutions and address business needs. Additionally, you will learn about practical insights into technologies related to generative AI and how you can use those … Continue reading AWS-MLGAIE: Generative AI Essentials on AWS
AWS-MLDGAI: Developing Generative AI Applications on AWS
In this advanced two-day course, software developers learn to build and customize AI solutions by using Amazon Bedrock programmatically. Through hands-on exercises and labs, participants will invoke foundation models through Amazon Bedrock APIs, implement Retrieval Augmented Generation (RAG) patterns with Amazon Bedrock Knowledge Bases, and develop AI agents with tool integration. The course focuses on … Continue reading AWS-MLDGAI: Developing Generative AI Applications on AWS
AWS-ANDEAR: Data Engineering on AWS
This comprehensive 3-day instructor-led training provides a deep dive into data engineering practices and solutions on Amazon Web Services (AWS). Participants will learn how to design, build, optimize, and secure data engineering solutions by using AWS services. Topics range from foundational concepts to hands-on implementation of data lakes, data warehouses, and both batch and streaming … Continue reading AWS-ANDEAR: Data Engineering on AWS
AWS-DA: Building Modern Data Analytics Solutions on AWS
This bootcamp is a collection of four one-day AWS courses including Building Data Lakes on AWS, Building Batch Data Analytics Solutions on AWS, Building Data Analytics Solutions Using Amazon Redshift, and Building Streaming Data Analytics Solutions on AWS. By attending this training you’ll receive comprehensive training for developing modern data skills, including how to modernize … Continue reading AWS-DA: Building Modern Data Analytics Solutions on AWS
AWS-MLAGAC: Building Agentic AI with Amazon Bedrock AgentCore
In this course, you’ll learn how to advance your proof-of-concept agents to production-ready agentic AI solutions on AWS. You will use Amazon Bedrock AgentCore services for tool orchestration, identity management, and production monitoring to implement secure, scalable enterprise AI systems ready for deployment.
AWS-MLADAS: Building Advanced Agentic Systems on AWS
In this course, you’ll learn about implementing production-ready multi-agent systems using Amazon Bedrock AgentCore, covering multi-agent patterns, context optimization techniques, security configurations, and monitoring frameworks. You will examine the skills needed to move beyond proof-of-concept to scalable, secure, and observable agentic AI implementations. The course prepares you to design and deploy advanced agentic systems ready … Continue reading AWS-MLADAS: Building Advanced Agentic Systems on AWS
AWS-MLAGAF: Agentic AI Foundations
In this course, you’ll explore the core principles and strategies for designing Agentic AI systems using AWS services. You’ll learn how Agentic AI differs from traditional conversational systems, and how to use tools like Amazon Q, Kiro, Amazon Bedrock Agents, and Amazon Bedrock AgentCore to build autonomous, goal-driven solutions that solve real-world problems.
AWS-MLAIDP: Advanced Generative AI Development on AWS
The Advanced Generative AI Development on AWS is designed for developers seeking to master the implementation of production-ready generative AI solutions on AWS. The course addresses the needs of organizations embarking on their generative AI journey and how to build comprehensive generative AI strategies that align with broader business objectives. This advanced 3-day instructor-led training … Continue reading AWS-MLAIDP: Advanced Generative AI Development on AWS