Agentic AI & Cloud Native Catalog
Drive engineering velocity with expert-led training in Agentic AI, AIOps, and Cloud Native architecture. Gain production-ready skills from the architects powering the Fortune 100 through hands-on, vendor-neutral courses.
Technical Excellence at Scale: Agentic AI & Cloud Native Mastery
As a charter member of both the Agentic AI Foundation (AAIF) and the Cloud Native Computing Foundation (CNCF), RX-M provides the production-first expertise required to navigate the modern software landscape. Our practitioner-led training programs are designed to eliminate technical friction and drive Engineering Velocity across global organizations.
Engage RX-M to standardize excellence and modernize your development lifecycle:
- Implement Agentic SDLC: Master the integration of AI agents and automated workflows to accelerate delivery cycles
- Operationalize with AIOps: Gain the skills to deploy, manage, and scale mission-critical AI models and Kubernetes infrastructure
- Outcome-Driven Enablement: Align your team’s technical competencies directly with your organization’s strategic business goals
Our extensive catalog is frequently updated to reflect the latest advancements in AI, AIOps, Platform Engineering, and Agentic Systems. While our library covers thousands of modules across hundreds of courses, we specialize in creating tailored instructional frameworks—if you don’t see a specific path, our architects can build a custom curriculum mapped directly to your internal tech stack.
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Accelerating Software Development with VSCode and Copilot
Accelerating Software Development with VSCode and Copilot turns Visual Studio Code and GitHub Copilot into a practical, AI-assisted development environment. Through lecture, demos, and hands-on labs, attendees configure VS Code for productive work and put Copilot to use for code completion and chat-driven assistance. They generate and explain code, write tests, debug defects, and refactor […]
Advanced Cassandra
Advanced Cassandra splits into three independent training days that teams can deliver individually or in any order. Day one explores Cassandra internals, architecture, advanced data modeling techniques, and modern indexing capabilities. Production operations take center stage on day two, covering monitoring, observability, sizing, troubleshooting, repairs, and backup and recovery. Day three then moves into Java […]
Advanced Test-Driven Development Using Visual Studio and C#
Advanced Test-Driven Development Using Visual Studio and C# is a one-day, hands-on deep dive into Visual Studio’s advanced testing tools. Labs apply each technique to real-life projects. Attendees write tests early and run them continuously throughout development, catching and fixing problems as soon as they appear. The course leans heavily on practice. Students work through […]
Adversarial AI & ML Security
Adversarial AI & ML Security is an intensive, hands-on course that dives into how AI systems fail, and how to make them resilient. You’ll explore attacks across the full lifecycle: data collection, training, fine-tuning, retrieval, inference, and agent or tool use. These include data poisoning and backdoors, adversarial examples, model and data confidentiality attacks, and […]
Agent Orchestration on Kubernetes
Agent Orchestration on Kubernetes is a two-day course. It teaches participants to design, deploy, and operate AI agents and multi-agent systems at scale using Kubernetes. Participants explore how modern agent frameworks leverage Kubernetes for scheduling, scaling, isolation, and fault tolerance. They also examine how these systems integrate with existing cloud-native platforms. The course covers core […]
Agent Skills Introduction
Agent Skills Introduction teaches developers how to build the tools and capabilities that power AI agents, in one hands-on day. As organizations automate workflows and cut manual effort, AI agents are becoming essential. But an agent is only as useful as the skills it can perform. The course opens with AI agents and the agent […]
Agent2Agent Protocol Introduction
Agent2Agent Protocol Introduction is a two-day, intensive, hands-on course that dives into the rapidly evolving world of agent-to-agent communication and coordination. As agentic AI systems move into production, agents must interoperate, discover one another, and collaborate across heterogeneous environments. This course explores the core architecture and design principles of A2A systems, including capability exposure, messaging […]
Agentic Design Patterns
Agentic Design Patterns is an immersive three-day workshop that explores the essential design patterns that underpin modern agentic systems—AI agents capable of reasoning, planning, and collaborating dynamically. Participants begin with foundational concepts, learning to construct robust agent architectures through the Pipeline, Routing, and Parallelization patterns. These day-one sessions focus on structuring agent workflows for efficiency, […]
Agentic Development Advanced
Agentic Development Advanced challenges developers who already understand LLM application development and basic agent design, across two hands-on days. The course tackles the hard parts of building useful agentic systems. Participants learn to control autonomy, preserve context across complex workflows, integrate tools and protocols safely, and evaluate behavior under real-world uncertainty. They work with modern […]
Agentic Development Foundation
Agentic Development Foundation allows developers to move beyond basic LLM applications into the design and implementation of autonomous AI agents. This intensive two-day course introduces the architecture, tools, and design patterns required to build modern agentic systems. Participants explore the evolving ecosystem of foundation models, agent frameworks, and workflow orchestration tools. This includes Model Context […]