Platform Engineering for Business Strategy and Management Training Course

This instructor-led, live training session, available online or on-site, is intended for advanced platform engineers and DevOps professionals aiming to master application scaling via microservices and Kubernetes.

Upon completion of this training, participants will be capable of:

• Designing and implementing scalable microservices architectures.
• Deploying and managing applications on Kubernetes clusters.
• Utilizing Helm charts for efficient service deployment.
• Monitoring and maintaining the health of microservices in production.
• Applying best practices for security and compliance in a Kubernetes environment.

This instructor-led, live training conducted in US (online or onsite) is targeted at intermediate-level software developers, system administrators, and IT project managers aiming to enhance their proficiency in building and managing automated, scalable, and collaborative IT environments for government operations.

Upon completion, participants will be able to:

• Apply the core principles and benefits of DevOps and Platform Engineering.
• Implement Infrastructure as Code (IaC) to automate IT infrastructure provisioning.
• 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.

This instructor-led, live training in US (online or onsite) is designed for entry-level to mid-level IT professionals seeking to establish a robust foundation in platform engineering for government operations.

Upon completion of this training, participants will be equipped to:

• Comprehend the core principles and operational practices of platform engineering.
• Apply tools such as Docker and Kubernetes for containerization and orchestration tasks.
• Design and deploy internal developer platforms (IDPs) to enhance operational efficiency.
• Automate infrastructure provisioning and application deployment cycles.
• Integrate security and compliance requirements into platform architecture for government contexts.

This instructor-led live training, conducted in US either online or onsite, targets intermediate-level platform engineers, cloud architects, and DevOps practitioners aiming to investigate diverse cloud-native technologies and apply them to improve platform capabilities.

By the conclusion of this training, participants will be equipped to:

• Grasp the core tenets of cloud-native platform engineering.
• Employ containers and serverless computing for building scalable applications.
• Execute CI/CD pipelines in a cloud environment.
• Monitor and manage cloud-native applications with operational effectiveness.
• Apply security and compliance standards suitable for government and enterprise cloud contexts.

This instructor-led, live training session in US (available online or on-site) targets intermediate-level developers and DevOps practitioners seeking to enhance operational streamlining through platform engineering for government and public sector operations.

Upon completion, participants will be prepared to:

• Analyze core concepts and operational benefits of platform engineering for development teams.
• Leverage self-service platforms to expedite development and testing cycles.
• Deploy automation strategies within development workflows.
• Utilize containerization and orchestration to manage application lifecycles.
• Integrate monitoring and security protocols into development pipelines.

This instructor-led, live training in US (available online or onsite) is intended for intermediate-level software developers and data engineers responsible for developing and maintaining robust platforms for data-intensive applications.

Following the completion of this training, participants will be capable of:

• Addressing the specific challenges and solutions associated with platform engineering for big data.
• Designing and implementing scalable data processing pipelines.
• Effectively utilizing big data frameworks such as Hadoop and Spark.
• Developing real-time analytics solutions based on streaming data.
• Orchestrating complex data workflows using tools such as Apache Airflow.

This instructor-led, live training offered in US (online or onsite) is tailored for intermediate-level platform engineers and security professionals aiming to embed security best practices into platform design and operations.

Upon completion of this training, participants will possess the capability to:

• Identify and mitigate security risks within platform engineering environments.
• Deploy and manage security controls and compliance obligations.
• Develop platforms where security and compliance are core architectural elements.
• Perform security audits and evaluations to maintain continuous protection.
• Respond to security incidents effectively and restore operational stability.