Amazon - Bridgeway International

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.

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 data pipelines. This course equips data professionals with the skills needed to architect and manage modern data solutions at scale.

Planning and Designing Databases on AWS

Choosing the right database service can make or break your cloud architecture. Planning and Designing Databases on AWS gives you the knowledge and hands-on experience to design data solutions that align with your application’s performance, scalability, and cost requirements. You’ll explore the process of planning and designing both relational and nonrelational databases on AWS. Learn the trade-offs of hosting on Amazon EC2 versus using fully managed services, and dive deep into AWS database offerings including Amazon RDS, Aurora, Redshift, DocumentDB, DynamoDB, ElastiCache, Neptune, and QLDB. By the end of the course, you’ll understand the unique capabilities of each service, how to evaluate them for specific workloads, and how to build secure, optimized, and future-ready database solutions in the cloud.

AWS 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.

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.

Advanced Architecting on AWS

Ready to advance your ability to design scalable, elastic applications on the AWS platform? The Advanced Architecting on AWS training course is built for individuals who are experienced with designing scalable and elastic applications on AWS. It builds upon concepts introduced in Architecting on AWS and explores complex solutions that incorporate data services, governance, and security on AWS. This course introduces specialized AWS services, explores the best practices for building scalable, highly available solutions, and helps you make informed architectural decisions using the AWS Well-Architected Framework. You’ll gain hands-on experience with real-world scenarios that support hybrid architecture, including AWS Direct Connect and AWS Storage Gateway.

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 services such as Amazon SageMaker AI and analytics tools such as Amazon EMR to develop robust, scalable, and production-ready machine learning applications.

AWS Migration Essentials

Organizations are moving to the cloud faster than ever—yet over 60% of cloud migrations stall or fall short of expectations. The difference? A solid understanding of the migration process and the tools necessary for migrations in the AWS Cloud. AWS Migration Essentials is a one-day, instructor-led training introducing IT professionals to the key phases, strategies, and services that drive successful cloud migration. Built around the AWS Migration Acceleration Program (MAP), the course helps teams plan and perform migration projects with confidence—leveraging Amazon Web Services tools, frameworks, and best practices. Participants explore how to assess environments, mobilize stakeholders, and ultimately migrate and modernize applications and databases using AWS. Through real AWS environments with hands-on labs, you’ll gain the practical insight needed to lead or support a migration effort in your organization.

Security Engineering on AWS

Cybersecurity threats are escalating, and organizations need professionals who can efficiently use AWS security services to stay secure in the AWS Cloud. Security Engineering on AWS focuses on the security practices that AWS recommends for enhancing the security of your data and systems in the cloud. This course highlights the security features of AWS key services including compute, storage, networking, and database services. You’ll also learn how to leverage AWS services and tools for automation, continuous monitoring and logging, and responding to security incidents. Through hands-on labs and real-world scenarios, you’ll gain practical experience in implementing security solutions, understanding specialized data classifications and AWS data protection mechanisms, and applying security best practices. This training is designed to help you stay secure in the AWS Cloud and prepare for the AWS Certified Security – Specialty certification.

AWS Cloud Practitioner Essentials

Cloud computing is reshaping industries, with 94% of enterprises using cloud services. The AWS Cloud Practitioner Essentials course is the perfect starting point for those new to AWS. You will learn about AWS Cloud concepts, AWS services, security, architecture, pricing, and support to build your AWS Cloud knowledge. This course also helps you prepare for the AWS Certified Cloud Practitioner exam.