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Building Advanced Agentic Systems on AWS
Design advanced agentic systems on AWS with coordinated agents, tools, memory, retrieval, security, evaluation, and scalable operations. -
Developing Generative AI Applications on AWS
Develop generative AI applications using AWS services for model access, data preparation, application integration, deployment, and responsible operation. -
AWS Certified Solutions Architect – Associate (Architecting on AWS) Training
Build practical AWS architecture skills across security, networking, compute, storage, databases, scaling, serverless design, resilience, recovery, and SAA-C03-aligned solution decisions. -
AWS Certified Cloud Practitioner (AWS Cloud Practitioner)
Gain a foundational understanding of AWS cloud concepts, global infrastructure, core services, security, pricing, billing, and support. -
Exam Prep: AWS Certified AI Practitioner (AIF-C01)
Review AI, machine learning, generative AI, AWS AI services, responsible AI, security, and exam decision patterns for the AI Practitioner exam. -
Running Containers on Amazon Elastic Kubernetes Service (Amazon EKS)
Deploy, manage, secure, observe, scale, and upgrade containerized applications using Kubernetes and Amazon EKS. -
MLOps Engineering on AWS
Design and operate repeatable machine learning delivery pipelines using AWS services for experimentation, automation, deployment, and monitoring. -
Building Data Lakes on AWS
Build and automate AWS data lakes with ingestion, cataloging, processing, governance, query, and visualization services. -
Data Engineering on AWS
Design and operate AWS data engineering pipelines for ingestion, transformation, storage, orchestration, analytics, security, and reliability. -
Exam Prep: AWS Certified Cloud Practitioner (CLF-C02)
Develop practical, source-aligned skills in AWS Certified Cloud Practitioner exam preparation through structured explanations, guided implementation, security and operations review, troubleshooting, and applied validation. -
Exam Prep: AWS Certified Machine Learning Engineer – Associate (MLA-C01)
Develop practical, source-aligned skills in AWS machine learning engineer associate exam preparation through structured explanations, guided implementation, security and operations review, troubleshooting, and applied validation. -
Building Modern Data Analytics Solutions on AWS
Develop practical, source-aligned skills in modern analytics pipelines and platforms on AWS through structured explanations, guided implementation, security and operations review, troubleshooting, and applied validation.
