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.
Build your future in the AWS Cloud with AWS Certified Solutions Architect – Associate certification.
The AWS-ARC: Architecting on AWS training course is intended for solutions architects, solution-design engineers, and developers seeking an understanding of AWS architecting. In this AWS Architect training course, you will learn to identify services and features to build resilient, secure and highly available IT solutions on the AWS Cloud.
Architectural solutions differ depending on industry, types of applications, and business size.
At the end of the course, you will practice building a solution and apply what you have learned with confidence.
Invest in your team’s cloud future: Master AWS with 600+ courses, labs, and interactive experiences, elevate your team’s cloud expertise with AWS Skill Builder Team Subscription.
Trainocate is an AWS Authorized Training Partner as well as the AWS Global Training Partner of the Year 2024 is trusted by AWS to offer, deliver, and/or incorporate official AWS Training, including classroom and digital offerings. Whether your team prefers to learn from live instructors, on-demand courses, or both, ATPs offer a breadth of AWS Training options for learners of all levels.
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.
Apply critical thinking and problem-solving skills to solve architectural design problems.
In this AWS-ADVARC: Advanced Architecting on AWS training course, each module presents a scenario with an architectural challenge to be solved. You will examine available AWS services and features as solutions to the problem. You will gain insights by participating in problem-based discussions and learning about the AWS services that you could apply to meet the challenges.
Over 3 days, the course goes beyond the basics of a cloud infrastructure and covers topics to meet a variety of needs for AWS customers. Course modules focus on managing multiple AWS accounts, hybrid connectivity and devices, networking with a focus on AWS Transit Gateway connectivity, container services, automation tools for continuous integration/continuous delivery (CI/CD), security and distributed denial of service (DDoS) protection, data lakes and data stores, edge services, migration options, and managing costs.
This advanced AWS solutions architect course concludes by presenting you with scenarios and challenging you to identify the best solutions.
Trainocate is an AWS Authorized Training Partner as well as the AWS Global Training Partner of the Year 2025 is trusted by AWS to offer, deliver, and/or incorporate official AWS Training, including classroom and digital offerings. Whether your team prefers to learn from live instructors, on-demand courses, or both, ATPs offer a breadth of AWS Training options for learners of all levels.
This one-day Agentic AI Foundations course guides you through building autonomous, goal-driven AI agents using AWS technologies.
What will you get out of this course:
By the end of the course, you will be able to:
Configure and manage network infrastructure using Red Hat Ansible Automation Platform.
Network Automation with Red Hat Ansible Automation Platform (DO457) is designed for network administrators or infrastructure automation engineers who want to use network automation to centrally manage the switches, routers, and other devices in the organization’s network infrastructure.
Learn how to use Red Hat Ansible Automation Platform to remotely automate the configuration of network devices, test and validate the current network state, and perform compliance checks to detect and correct configuration drift.
This course is based on Red Hat® Ansible Automation Platform 2.3
Advance your Ansible skills and develop automation that scales by applying recommended practices with the new, container focused tools from Red Hat Ansible Automation Platform
This Red Hat Ansible course is designed for automation content developers to leverage the new, container focused tools from Red Hat Ansible Automation Platform to efficiently develop automation that can be managed by the automation controller. Learn recommended practices for automation development using reusable code, advanced playbook techniques, shared execution environments, and preparing for scalable automation with the automation content navigator.
This DO374: Developing Advanced Automation with Red Hat Ansible Automation Platform course is based on Red Hat Ansible Automation Platform 2.0.
Learn how to automate Linux system administration tasks with Red Hat Ansible Automation Platform.
Red Hat Enterprise Linux Automation with Ansible and exam (RH295) is designed for Linux system administrators and developers who need to automate provisioning, configuration, application deployment, and orchestration.
The Red Hat Certified Engineer (RHCE) exam (EX294) is included in this offering. This offering is based on Red Hat® Enterprise Linux 9 and Red Hat Ansible Automation Platform 2.2.
Learn how to automate Linux system administration tasks with Red Hat Ansible Automation Platform.
Red Hat Enterprise Linux Automation with Ansible (RH294) is designed for Linux administrators and developers who need to automate repeatable and error-prone steps for system provisioning, configuration, application deployment, and orchestration.
This course is based on Red Hat® Enterprise Linux® 9 and Red Hat Ansible Automation Platform 2.2.
Following course completion, hands-on lab access will remain available for up to 45 days for any live course that includes a virtual environment.
Vue.js is among the world’s most popular language frameworks for applications and interface development. Its relative lightweight platform, ease of understanding, simple integration, and flexibility have given it huge support from developers and organizations such as Alibaba, Xiaomi and others.
Systems Administrators and DevOp Engineers have always been charged to do more with less. Defining infrastructure in code and automating its deployment helps improve operational efficiency and lower administrative overhead. In this course, Terraform – Getting Started, you’ll learn foundational knowledge of Hashicorp’s Terraform software, a toolset for infrastructure automation. First, you’ll discover how to create and update a basic configuration. Next, you’ll explore how to use provisioners, functions, and providers to expand your deployment.
Finally, you’ll learn how to leverage abstraction and improve code reuse with variables, state files, and modules. When you’re finished with this course, you’ll have the skills and knowledge of Terraform needed to write, plan, and create automated infrastructure deployments.
The main objective of this React training course is to help you become familiar with the process and gain the skills you’ll need to become a professional React developer. You will learn the fundamentals of React through self-paced and instructor-led training to understand and build React components and structure applications with Redux.
In a world that never stands still, we help you move forward.
With over 30 years of experience, Trainocate has been empowering individuals and businesses to build the essential skills that drive growth and success. Whether it’s professionals advancing in their careers or organizations transforming their workforce, our training programmes deliver results.
Specializing in cloud computing, data & AI, cybersecurity, and digital leadership, our training is powered by industry-leading technology partners like AWS, Alibaba Cloud, Cisco, EC-Council, Fortinet, Google Cloud, IBM, ISACA, ISC2, Microsoft, NetApp, Nutanix, Oracle, Palo Alto, Splunk, Red Hat, Rocheston, Trend Micro, and VMware.
Trainocate Group operates in 24 countries blending global expertise with localized insights to train the next generation of tech professionals and business leaders.
Trainocate Malaysia, based in KL Eco City, is proud to be an HRD Corp Registered Training Provider and a Yayasan Peneraju ALTI, driving workforce development across Malaysia.