New York (NYC) - Midtown Manhattan - Park Ave.

E48-49th (Grand Central), 299 Park Avenue, New York City, united states, 10171

The venue is located in between the Waldorf Astoria and J.P. Morgan and Chase.

New York (NYC) - Midtown Manhattan - Madison Ave.

E38-39th, 260 Madison Ave., New York, united states, 10016
The venue is located just opposite of Madison Av & E 38 St bus stop and Zuma NYC, in the same building as Chase Bank.

Explore Our Courses

DevOps and Platform Engineering: A Collaborative Approach

 14 Hours
This instructor-led, live training in New York City (online or onsite) is aimed at intermediate-level software developers, system administrators, and IT project managers who wish to enhance their skills in building and managing automated, scalable, and collaborative IT environments.By the end of this training, participants will be able to:
  • Understand the core principles and benefits of DevOps and Platform Engineering.
  • Implement Infrastructure as Code (IaC) and automate the provisioning of IT infrastructure.
  • Build and maintain Continuous Integration and Continuous Delivery (CI/CD) pipelines.
  • Deploy and manage microservices using containerization tools like Docker and Kubernetes.
  • Integrate security practices into the software development lifecycle with DevSecOps.
  • Apply observability techniques to monitor and improve system reliability.
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Platform Engineering: Security and Compliance

 28 Hours
This instructor-led, live training in New York City (online or onsite) is aimed at intermediate-level platform engineers and security professionals who wish to incorporate security best practices into platform design and operations.By the end of this training, participants will be able to:
  • Identify and mitigate security risks in platform engineering.
  • Implement and manage security controls and compliance measures.
  • Design platforms with security and compliance as foundational elements.
  • Conduct security audits and assessments to ensure continuous protection.
  • Respond effectively to security incidents and recover operations.
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Platform Engineering for Data-Intensive Applications

 21 Hours
This instructor-led, live training in New York City (online or onsite) is aimed at intermediate-level software developers and data engineers who wish to build and maintain robust platforms for data-intensive applications.By the end of this training, participants will be able to:
  • Understand the challenges and solutions in platform engineering for big data.
  • Design and implement scalable data processing pipelines.
  • Utilize big data frameworks like Hadoop and Spark effectively.
  • Develop real-time analytics solutions using streaming data.
  • Orchestrate complex data workflows with tools like Apache Airflow.
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Platform Engineering for Business Strategy and Management

 21 Hours
This instructor-led, live training in New York City (online or onsite) is aimed at intermediate-level technical managers and business leaders who wish to align platform engineering efforts with business objectives and manage platform teams effectively.By the end of this training, participants will be able to:
  • Define the role and scope of platform engineering within their organization.
  • Translate business goals into actionable technical strategies.
  • Build and manage effective platform engineering teams.
  • Design and implement scalable and resilient platform architectures.
  • Measure and analyze the success of platform initiatives.
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Platform Engineering with Cloud-Native Technologies

 28 Hours
This instructor-led, live training in New York City (online or onsite) is aimed at intermediate-level platform engineers, cloud architects, and DevOps practitioners who wish to explore a range of cloud-native technologies and learn how to use them to enhance platform capabilities.By the end of this training, participants will be able to:
  • Understand the core principles of cloud-native platform engineering.
  • Utilize containers and serverless computing to build scalable applications.
  • Implement CI/CD pipelines in a cloud environment.
  • Monitor and manage cloud-native applications effectively.
  • Apply security and compliance best practices in the cloud.
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Advanced Platform Engineering: Scaling with Microservices and Kubernetes

 35 Hours
This instructor-led, live training in New York City (online or onsite) is aimed at advanced-level platform engineers and DevOps professionals who wish to master scaling applications using microservices and Kubernetes.By the end of this training, participants will be able to:
  • Design and implement scalable microservices architectures.
  • Deploy and manage applications on Kubernetes clusters.
  • Utilize Helm charts for efficient service deployment.
  • Monitor and maintain the health of microservices in production.
  • Apply best practices for security and compliance in a Kubernetes environment.
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Platform Engineering for Developers

 21 Hours
This instructor-led, live training in New York City (online or onsite) is aimed at intermediate-level developers and DevOps practitioners who wish to leverage platform engineering to streamline their development processes.By the end of this training, participants will be able to:
  • Understand the key concepts and benefits of platform engineering for development teams.
  • Utilize self-service platforms to accelerate development and testing.
  • Implement automation in their development workflows.
  • Apply containerization and orchestration to manage application lifecycles.
  • Integrate monitoring and security practices into their development pipelines.
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Platform Engineering Fundamentals

 14 Hours
This instructor-led, live training in New York City (online or onsite) is aimed at beginner-level to intermediate-level IT professionals who wish to build a solid foundation in platform engineering.By the end of this training, participants will be able to:
  • Understand the principles and practices of platform engineering.
  • Utilize tools like Docker and Kubernetes for containerization and orchestration.
  • Design and implement internal developer platforms (IDPs) for improved efficiency.
  • Automate infrastructure provisioning and application deployment.
  • Integrate security and compliance into platform design.
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