Containerization & Orchestration With Docker & Kubernetes Training Course: Deploy Data Apps

Introduction

Revolutionize your application deployment with our Containerization and Orchestration with Docker and Kubernetes Training Course. This program is designed to equip you with the essential skills to deploy and manage data science applications, enabling you to build scalable, reliable, and portable systems. In today's cloud-native world, mastering Docker and Kubernetes is crucial for efficiently managing containerized applications. Our Docker and Kubernetes training course offers hands-on experience and expert guidance, empowering you to leverage these powerful technologies.

This deploying data science applications training delves into the core concepts of containerization and orchestration, covering topics such as Docker image creation, Kubernetes deployment strategies, and cluster management. You'll gain expertise in using industry-standard tools and techniques to deploy and manage data science applications, meeting the demands of modern cloud-native projects. Whether you're a data engineer, DevOps professional, or software developer, this Containerization & Orchestration with Docker & Kubernetes course will empower you to build and maintain high-performance containerized systems.

Target Audience:

• Data Engineers
• DevOps Professionals
• Software Developers
• System Administrators
• Cloud Engineers
• Data Scientists
• Anyone needing Docker and Kubernetes skills

Course Objectives:

• Understand the fundamentals of containerization and orchestration with Docker and Kubernetes.
• Master Docker image creation and management for applications.
• Utilize Kubernetes for deploying and scaling containerized applications.
• Implement Kubernetes deployment strategies (Deployments, StatefulSets).
• Design and build efficient containerized data science applications.
• Optimize Kubernetes clusters for performance and scalability.
• Troubleshoot and address common Docker and Kubernetes challenges.
• Implement Kubernetes networking and service discovery.
• Integrate Docker and Kubernetes with real-world applications.
• Understand how to handle security and compliance in containerized environments.
• Explore advanced Kubernetes features (e.g., Helm, Operators).
• Apply real world use cases for Docker and Kubernetes.
• Leverage containerization and orchestration tools for efficient deployment.

Duration

10 Days

Course content

Module 1: Introduction to Containerization and Orchestration

• Fundamentals of containerization and orchestration with Docker and Kubernetes.
• Overview of Docker images, containers, and Kubernetes clusters.
• Setting up a Docker and Kubernetes development environment.
• Introduction to containerization and orchestration tools.
• Best practices for containerization and orchestration.

Module 2: Docker Image Creation and Management

• Implementing Docker image creation with Dockerfiles.
• Utilizing Docker Hub and container registries.
• Designing and building Docker images for applications.
• Optimizing Docker images for size and performance.
• Best practices for Docker images.

Module 3: Kubernetes Deployment and Scaling

• Implementing Kubernetes deployments for applications.
• Utilizing Kubernetes services and pods.
• Designing and building Kubernetes deployment configurations.
• Optimizing Kubernetes deployments for scalability.
• Best practices for Kubernetes deployments.

Module 4: Kubernetes Deployment Strategies

• Implementing Kubernetes deployment strategies (Deployments, StatefulSets).
• Utilizing rolling updates and blue/green deployments.
• Designing and building stateful applications in Kubernetes.
• Optimizing deployments for specific application needs.
• Best practices for deployment strategies.

Module 5: Containerized Data Science Applications

• Designing and building containerized data science applications.
• Implementing Docker for data science workflows.
• Utilizing Kubernetes for deploying ML models.
• Optimizing applications for containerized environments.
• Best practices for containerized data science.

Module 6: Kubernetes Cluster Optimization

• Optimizing Kubernetes clusters for performance and scalability.
• Utilizing resource management and auto-scaling.
• Implementing cluster monitoring and logging.
• Designing scalable Kubernetes architectures.
• Best practices for cluster optimization.

Module 7: Troubleshooting Docker and Kubernetes Challenges

• Debugging common Docker and Kubernetes issues.
• Analyzing container and pod logs.
• Utilizing troubleshooting techniques for problem resolution.
• Resolving common containerization challenges.
• Best practices for troubleshooting.

Module 8: Kubernetes Networking and Service Discovery

• Implementing Kubernetes networking and service discovery.
• Utilizing Kubernetes services and ingress controllers.
• Designing and building network configurations.
• Optimizing networking for application communication.
• Best practices for networking.

Module 9: Integration with Real-World Applications

• Integrating Docker and Kubernetes with real-world applications.
• Utilizing APIs and cloud services.
• Implementing containerized microservices.
• Optimizing integration for business impact.
• Best practices for integration.

Module 10: Security and Compliance

• Implementing security and compliance in containerized environments.
• Utilizing security policies and access controls.
• Designing and building secure containerized applications.
• Optimizing deployments for regulatory compliance.
• Best practices for security.

Module 11: Advanced Kubernetes Features

• Implementing Helm for Kubernetes package management.
• Utilizing Kubernetes Operators for application management.
• Designing and building advanced Kubernetes deployments.
• Optimizing advanced features for specific applications.
• Best practices for advanced features.

Module 12: Real-World Use Cases

• Implementing Docker and Kubernetes for microservices architecture.
• Utilizing Kubernetes for deploying machine learning models.
• Implementing containerized data pipelines.
• Utilizing Docker and Kubernetes for cloud-native applications.
• Best practices for real-world applications.

Module 13: Containerization Tools Implementation

• Utilizing Docker Compose and Kubernetes CLI (kubectl).
• Implementing containerization and orchestration with tools.
• Designing and building solutions with containerization tools.
• Optimizing tool usage for efficient deployment.
• Best practices for tool implementation.

Module 14: Monitoring and Logging Containerized Applications

• Implementing monitoring and logging for containerized applications.
• Utilizing Prometheus and Grafana for monitoring.
• Designing and building monitoring dashboards.
• Optimizing monitoring for proactive issue detection.
• Best practices for monitoring.

Module 15: Future Trends in Containerization and Orchestration

• Emerging trends in containerization and orchestration.
• Utilizing serverless containers and Kubernetes.
• Implementing service mesh and microservices architectures.
• Best practices for future containerized applications.

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: info@skillsforafrica.org, training@skillsforafrica.org  Tel: +254 702 249 449

Training Venue

The training will be held at our Skills for Africa Training Institute Training Centre. We also offer training for a group at requested location all over the world. The course fee covers the course tuition, training materials, two break refreshments, and buffet lunch.

Visa application, travel expenses, airport transfers, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Skills for Africa Training Institute certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: info@skillsforafrica.org, training@skillsforafrica.org  Tel: +254 702 249 449

Terms of Payment: Unless otherwise agreed between the two parties’ payment of the course fee should be done 7 working days before commencement of the training.