Why Training Matters More Than Ever

In the rapidly accelerating AI era, artificial intelligence is taking a central role in technology operations, writing more code, and building more software. This automation, while powerful, carries an inherent risk: companies are inadvertently losing touch with the underlying technologies as AI increasingly automates complex tasks. This gap creates critical vulnerabilities, as teams may not fully understand what AI is creating or how it truly functions. Therefore, having skilled employees who understand both the foundational technologies AND the intricacies of AI is not just beneficial, but critical. Training bridges this knowledge gap, ensuring teams can work effectively with AI while maintaining deep technical insight.

Understanding AI-Generated Systems

As AI autonomously develops and deploys software, it’s crucial for teams to possess the expertise to comprehend, validate, and manage these AI-generated systems. Training ensures that human oversight remains informed and effective, guiding AI’s capabilities responsibly.

Mitigating Technology Risk

A lack of understanding of AI’s outputs can introduce unforeseen risks, from security vulnerabilities to operational failures. Comprehensive training equips teams to identify, assess, and mitigate these risks, fostering a more secure and stable technological environment.

Maintaining Technical Excellence

Deep technical knowledge of foundational systems, alongside AI proficiency, is paramount. Training cultivates engineers and developers who can not only leverage AI tools but also critically evaluate, optimize, and troubleshoot complex architectures that integrate AI.

Future-Proofing Your Workforce

Investing in continuous training ensures your team remains adaptable and competitive. This unique combination of AI skills and foundational technical expertise is what separates successful, resilient organizations from those at risk of being left behind by rapid technological change.

Ultimately, embracing this AI-era training imperative is an investment in your company’s future, fostering a culture of informed innovation, robust security, and sustained competitive advantage in a world increasingly shaped by artificial intelligence.

Our Training Approach

At VergeOps, we believe that effective training goes beyond lectures and theoretical concepts. Our unique approach is meticulously crafted to empower your teams with practical skills and deep insights, ensuring they are not just familiar with the topic, but truly proficient. We focus on a holistic learning experience that addresses every stage of your team’s development journey.

Expert-Led Instruction

Learn from industry veterans with extensive experience leading initiatives at Fortune 500 companies. Our instructors bring a wealth of practical knowledge, best practices, and insider tips, transforming complex topics into understandable and actionable insights.

Immersive Hands-On Labs

Our curriculum is built around practical application. Participants engage in immersive, hands-on labs designed to mirror real-world challenges and scenarios. This ensures deep understanding and immediate applicability of concepts, moving beyond theoretical knowledge to practical mastery.

Customized Curriculum Design

We don’t believe in one-size-fits-all. Our training programs are tailored to your organization’s specific technology stack, existing infrastructure, and business goals. This ensures relevance and maximizes the impact of the training for your unique operational environment.

Dedicated Post-Training Support

Our commitment extends beyond the classroom. VergeOps provides comprehensive post-training support, including access to resources, follow-up Q&A sessions, and expert guidance. This ensures continued learning, successful implementation, and sustained proficiency.

By focusing on these core pillars, VergeOps delivers a training experience that not only educates but also transforms your team’s capabilities, enabling them to confidently navigate and optimize your technology landscape.

Training Topics We Cover

At VergeOps, we offer comprehensive training across the full spectrum of modern software development and architecture practices. Our curriculum is designed to equip your teams with the essential skills to navigate today’s complex technological landscape, from foundational concepts to advanced specializations.

• Containers and Kubernetes
• Cloud Architecture
• AI/ML
• DevSecOps
• Architecture
• Microservices
• Event-Driven Architecture
• Application Architecture
• QA Automation

Training Formats & Options

At VergeOps, we understand that every organization has unique operational requirements and scheduling constraints. To ensure our training perfectly aligns with your needs, we offer highly flexible delivery formats and customizable durations. Our goal is to provide a seamless and effective learning experience that integrates effortlessly into your existing workflows, maximizing engagement and knowledge retention for your teams.

On-site Training

Our expert instructors can bring the full curriculum directly to your premises. This option provides a dedicated learning environment, allowing for focused discussions and hands-on labs within your own infrastructure. It’s ideal for larger teams and ensures maximum convenience and relevance.

Virtual Instructor-Led Sessions

Leverage the flexibility of remote learning with our live, instructor-led virtual sessions. Participants can join from anywhere, benefiting from real-time interaction, Q&A, and collaborative exercises, all delivered online.

Hybrid Learning Models

Combine the best aspects of both on-site and virtual delivery. Our hybrid approach allows for a mix of in-person interactions and remote learning modules, offering unparalleled flexibility to accommodate diverse team locations and individual learning preferences.

Flexible Course Duration

We tailor the training duration to fit your schedule and depth requirements, offering programs ranging from an intensive 2-day deep dive to a comprehensive 5-day masterclass. This ensures the pace and scope are perfectly matched to your team’s existing skill level and learning objectives.

We are committed to designing a training solution that not only imparts critical skills but also supports your business goals and operational realities. Contact us to discuss how we can customize a program specifically for your team.

Example Course: Kubernetes Fundamentals

This is an introductory course on Kubernetes constructed from a developer point of view. We cover the basic tenets of the container orchestration framework and its ecosystem. The class is designed to be hands-on using labs and best practices. Students will leave with a good understanding of the various concepts and be well equipped to tackle their next Kubernetes deployments, whatever their cloud destination might be.

Microservices Overview. Understand the core principles and benefits of microservices architecture. Learn how breaking down monolithic applications into smaller, independent services enhances scalability, resilience, and development agility within a distributed system.

Docker Refresher. Revisit or learn foundational Docker concepts, including containerization, Docker images, Dockerfiles, and registries. This module ensures a strong understanding of how containers package applications for consistent deployment across environments.

Kubernetes Architecture. Dive deep into the structure of a Kubernetes cluster, covering its control plane components (API server, etcd, scheduler, controller manager) and worker node components (kubelet, kube-proxy, container runtime). Grasp how these elements collaborate to manage your workloads.

Kubernetes Primitives. Master the essential building blocks of Kubernetes: Pods, ReplicaSets, Deployments, Services, DaemonSets, StatefulSets, and Jobs. Learn to manage namespaces, configure applications with ConfigMaps and Secrets, and expose services using Ingress controllers.

Resource Management & Autoscaling. Optimize resource utilization by understanding requests and limits for containers. Implement autoscaling strategies with Horizontal Pod Autoscaler (HPA) and explore Vertical Pod Autoscaler (VPA) and Cluster Autoscaler to dynamically adjust resources based on demand.

Volumes & Storage Considerations. Explore different storage options for stateful applications, including PersistentVolumes, PersistentVolumeClaims, and StorageClasses. Learn how to manage data persistence and ensure high availability for your critical data within Kubernetes.

Packaging with Helm. Discover Helm, the package manager for Kubernetes. Learn to create, deploy, and manage applications using Helm charts, streamlining the packaging and deployment process for complex applications within your cluster.

DevOps Pipelines Integration. Understand how to integrate Kubernetes into your Continuous Integration/Continuous Delivery (CI/CD) pipelines. Automate the build, test, and deployment of applications, enabling faster and more reliable software releases.

Cloud Considerations. Examine the specifics of running Kubernetes on major cloud providers (AWS EKS, Azure AKS, Google GKE). Understand managed Kubernetes services, cloud-native integrations, and best practices for cost optimization and operational efficiency in the cloud.

Hands-on Project: RV Store App. Apply all learned concepts in a practical, hands-on project using the RV Store demonstration application. Deploy, manage, scale, and troubleshoot a real-world application, solidifying your understanding through direct experience.

Example Course: Advanced Kubernetes

This is an advanced course on Kubernetes constructed from a developer point of view. Includes a brief refresher on Kubernetes fundamentals to help fill in knowledge gaps. This course expands on the fundamentals. The class is designed to be hands-on using labs and best practices.

Kubernetes architecture. Gain a deeper understanding of Kubernetes’ internal components and their interactions, focusing on advanced configurations and troubleshooting strategies for robust cluster management.

Advanced release patterns including canary and blue/green. Explore strategies for deploying new application versions with minimal risk using Canary deployments and Blue/Green strategies. Understand how to implement these patterns effectively within Kubernetes.

Deep dive into resource management with ResourceQuotas and LimitRanges. Optimize resource allocation and prevent resource contention using ResourceQuotas and LimitRanges. Learn to enforce policies across namespaces and pods for efficient cluster utilization.

Deep dive into autoscaling with HorizontalPodAutoscaler and ClusterAutoscaler. Configure advanced autoscaling behaviors for your applications and cluster infrastructure. Learn to dynamically adjust resources based on demand, ensuring optimal performance and cost efficiency.

Role Based Access Control. Implement and manage fine-grained access control within your Kubernetes cluster using RBAC. Define roles and bind them to users or service accounts to secure your resources.

Composite pods, design patterns, InitContainers. Learn advanced pod composition techniques and design patterns for complex applications. Utilize InitContainers to perform setup tasks before your main application containers start.

Deep dive into volumes and storage considerations. Explore advanced persistent storage options and strategies for stateful applications. Understand how to manage data longevity, backups, and disaster recovery in Kubernetes.

Affinity and anti-affinity, Taints, and Tolerations. Master advanced scheduling techniques to control where your pods run within the cluster. Use affinity, anti-affinity, taints, and tolerations for optimal resource placement and high availability.

Cloud-managed clusters like EKS and AKS. Gain practical experience with deploying and managing Kubernetes on cloud platforms such as AWS EKS and Azure AKS. Understand cloud-specific integrations and best practices for production environments.

Hands-on project with a demonstration training application. Apply all learned advanced concepts in a comprehensive, practical project. Deploy, manage, and scale a complex application, solidifying your expertise through real-world scenarios.