AWS Training

AWS-BAAS

AWS-BAAS: 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 for real-world production environment.

1-day

HK$6000

AWS-BAC

AWS-BAC: 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.

1-day

HK$6000

AWS-AQ

AWS-AQ: Amazon Quick for AI-Powered Productivity and Business Intelligence

This course is for business users, data analysts, and knowledge workers who want to learn about Amazon Quick, AWS’s AI-powered workspace.

You will learn how to use Quick to work more efficiently with data and enterprise information sources. You will learn how to navigate the Amazon Quick workspace and visualize and analyze data with Quick Sight.

You will also organize knowledge resources in Quick Spaces, build custom AI chat agents, and automate workflows with Quick Flows. Hands-on labs reinforce each major topic, giving you the practice needed to apply these skills in your organization.

This course includes presentations, hands-on labs, demonstrations, assessments, and group discussion.

1 Day

HK$6000

AWSAGAID

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 builds expertise across the entire generative AI stack – from foundation models to enterprise integration patterns. In addition, you will learn about advanced data processing techniques, vector database implementation and retrieval augmentation, sophisticated prompt engineering and governance, agentic AI systems and tool integration, AI safety and security measures, performance optimization and cost management strategies, comprehensive monitoring and observability solutions, testing and validation frameworks.

The course structure follows AWS’s proven model for generative AI adoption, progressing from experimentation to production-ready implementations.

3 Days

HK$18000

AWSAAF

Agentic AI Foundations on AWS

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.

1 Day

HK$6000

AWSMLE

AWS Certified Machine Learning Engineer – Associate

AWS Certified Machine Learning Engineer – Associate validates technical ability in implementing ML workloads in production and operationalizing them. Boost your career profile and credibility, and position yourself for in-demand machine learning job roles.

3 Days

HK$18000

AWSCAP

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 technologies to solve real-world problems. By the end of the course, you will explore project planning and how to discuss implementation of generative AI in your organization.

1 Day

HK$6000

AWS-DEVGENAI

Developing Generative AI Applications on AWS

This course is designed to introduce generative AI to software developers interested in leveraging large language models without fine-tuning. The course provides an overview of generative AI, planning a generative AI project, getting started with Amazon Bedrock, the foundations of prompt engineering, and the architecture patterns to build generative AI applications using Amazon Bedrock and LangChain.

2 Days

HK$12000

AWS-BSDAS

Building Streaming Data Analytics Solutions on AWS

In this course, you will learn to build streaming data analytics solutions using AWS services, including Amazon Kinesis and Amazon Managed Streaming for Apache Kafka (Amazon MSK). Amazon Kinesis is a massively scalable and durable real-time data streaming service. Amazon MSK offers a secure, fully managed, and highly available Apache Kafka service. You will learn how Amazon Kinesis and Amazon MSK integrate with AWS services such as AWS Glue and AWS Lambda. The course addresses the streaming data ingestion, stream storage, and stream processing components of the data analytics pipeline. You will also learn to apply security, performance, and cost management best practices to the operation of Kinesis and Amazon MSK.

1 Day

HK$6000

AWS-DAREDS

Building Data Analytics Solutions Using Amazon Redshift

In this course, you will build a data analytics solution using Amazon Redshift, a cloud data warehouse service. The course focuses on the data collection, ingestion, cataloging, storage, and processing components of the analytics pipeline. You will learn to integrate Amazon Redshift with a data lake to support both analytics and machine learning workloads. You will also learn to apply security, performance, and cost management best practices to the operation of Amazon Redshift.

1 Day

HK$6000

AWS-DABATC

Building Batch Data Analytics Solutions on AWS

In this course, you will learn to build batch data analytics solutions using Amazon EMR, an enterprise-grade Apache Spark and Apache Hadoop managed service. You will learn how Amazon EMR integrates with open-source projects such as Hive, Hue, and HBase, and with AWS services such as AWS Glue and AWS Lake Formation. The course addresses data collection, ingestion, cataloging, storage, and processing components in the context of Spark and Hadoop. You will learn to use EMR Notebooks to support both analytics and machine learning workloads. You will also learn to apply security, performance, and cost management best practices to the operation of Amazon EMR.

1 Day

HK$6000

AWS-AWSBDLA

Building Data Lakes on AWS

In this course, you will learn how to build an operational data lake that supports analysis of both structured and unstructured data. You will learn the components and functionality of the services involved in creating a data lake. You will use AWS Lake Formation to build a data lake, AWS Glue to build a data catalog, and Amazon Athena to analyze data. The course lectures and labs further your learning with the exploration of several common data lake.

1 Day

HK$6000

AWS Training

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