Name: Containerization of AI Applications with Docker and Kubernetes
Brand: NSTC
SKU: NSTC-01077
Price: 4249.00 INR
Availability: InStock

Attribute

Detail

Format

Online (e-LMS)

Level

Intermediate

Duration

3 Weeks

Certification

e-Certification + e-Marksheet

Tools

Docker, Docker Compose, Dockerfiles, Kubernetes, Helm, Prometheus

About the Docker Ai Course

The program covers the complete process of containerizing AI models and applications using Docker and orchestrating them with Kubernetes.

Participants will master fundamentals of containerization, deploying AI models, managing dependencies, and scaling AI applications in both on‑premise and cloud environments.

Program Highlights

• Comprehensive coverage of Containerization of AI Applications with Docker and Kubernetes from fundamentals to advanced applications

• Hands-on projects and real-world case studies in ai

• Expert-curated curriculum aligned with current industry standards

• Access to recorded lectures and e-LMS platform for flexible, self-paced learning

• e-Certification and e-Marksheet upon successful completion

• Dedicated mentor support and interactive doubt-clearing sessions

• Practical experience with tools: Docker, Docker Compose, Dockerfiles, Kubernetes

• Career-oriented training for academic and professional growth in ai

Course Curriculum

Module 1: Introduction to Containerization

Understand containerization vs virtualization
Identify containers, images, and registries
Explore benefits for AI/ML workflows

Module 2: Docker for AI Applications

Install Docker and learn core commands
Create and manage containers for AI workloads
Build optimized Docker images for TensorFlow & PyTorch models

Module 3: Docker Compose for Multi‑Container AI

Introduce Docker Compose syntax
Define multi‑container AI stacks (API, DB, etc.)
Link services and manage inter‑container networking

Module 4: Kubernetes Fundamentals for AI

Explain pods, nodes, services architecture
Set up a local Kubernetes cluster
Deploy AI models as Kubernetes pods

Module 5: Scaling AI Applications with Kubernetes

Implement horizontal & vertical scaling strategies
Configure auto‑scaling based on request load
Monitor cluster health for AI workloads

Module 6: Advanced Orchestration in Kubernetes

Work with Deployments and StatefulSets
Set up load balancing and service discovery for AI APIs
Execute rolling updates and rollbacks for model versions

Module 7: CI/CD Pipelines for AI

Integrate Docker & Kubernetes into CI/CD workflows
Automate model packaging, testing, and deployment
Utilize Jenkins, GitLab CI, and Argo for pipelines

Tools, Techniques, or Platforms Covered

Docker
Docker Compose
Dockerfiles
Kubernetes
Helm
Prometheus
Grafana
Jenkins
GitLab CI
Argo CD

Real-World Applications

Apply Containerization of AI Applications with Docker and Kubernetes skills directly to academic research, thesis work, and publications
Build a professional portfolio showcasing practical ai competencies
Solve industry-relevant problems using Containerization of AI Applications with Docker and Kubernetes methodologies and tools
Contribute to open-source projects and collaborative research in ai
Prepare for competitive examinations, interviews, and professional certifications in ai

Who Should Attend & Prerequisites

Industry‑recognized e‑Certification + e‑Marksheet from NSTC
Hands‑on training with practical projects and industrial datasets
Dedicated expert mentorship and doubt resolution

Prerequisites:

Frequently Asked Questions

1. What is the format of this Containerization of AI Applications with Docker and Kubernetes course?

This is an Online (e-LMS) course delivered via our e-LMS platform. You will have access to pre-recorded video lectures, reading materials, assignments, quizzes, and hands-on projects that you can complete at your own pace.

2. Will I receive a certificate after completing this course?

Yes! Upon successful completion of all modules, assignments, and assessments, you will receive an e-Certification along with an e-Marksheet from NanoSchool (NSTC) that you can showcase on your CV and LinkedIn profile.

3. What are the prerequisites for this course?

Learners should have a foundational understanding of ai concepts. Familiarity with basic tools and programming is recommended.

4. How long will I have access to the course materials?

You will have access to all course materials for the duration of 3 Weeks. The self-paced format allows you to learn according to your own schedule through our online learning management system.

5. Is mentor support available during the course?

Yes, dedicated mentor support is available throughout the course. You can reach out for doubt-clearing sessions, project guidance, and career advice related to ai. Our mentors are industry experts and experienced professionals.

Enroll in Containerization of AI Applications with Docker and Kubernetes today and take the next step in your professional journey. With expert-curated content, practical projects, and industry-recognized certification, this course is your gateway to mastering ai skills that matter.

Brand	NSTC
Format	Online (e-LMS)
Duration	3 Weeks
Level	Intermediate
Domain	ai
Hands-On	Yes – Practical projects with industrial datasets
Tools Used	Docker, Docker Compose, Dockerfiles, Kubernetes, Helm, Prometheus, Grafana, Jenkins, GitLab CI, Argo CD, TensorFlow, PyTorch

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