Machine Learning and Data Science
Prepare for real world implementations.
Machine learning isn’t magic—it’s math made powerful by data and purpose.
Azure Kubernetes Service Training Topics
1. Kubernetes Platform
- Comparison with Docker Swarm
- Orchestration and Various Tools
- History of Kubernetes
- Features of Kubernetes
- What Kubernetes is not!
- Kubernetes Versions
2. Kubernetes Architecture
- Kubernetes Terminology
- Kubernetes Components
- Kubernetes Cluster Architecture
- Understanding Kubernetes Master Components – Kube-apiserver, ETCD, Kube-scheduler, Kube-controller, Kube-DNS
- Understanding Kubernetes Node Components – Kube-proxy, Kubelet, Container Runtime
3. Kubernetes Setup and Validation
- Understanding different tools for deploying Kubernetes Cluster
- Release Binaries, Provisioning and Types of Clusters
- Building the Kubernetes Cluster using kubeadm
- Installing Kubernetes Master and Nodes
- Configuring Secure Cluster Communications
- Testing the Cluster
- Lab: Deploying Kubernetes Cluster using Kubeadm
- Lab: Adding Nodes to Kubernetes Cluster
- Lab: Deploying and Accessing Kubernetes Dashboard Service
4. Working with Pod
- Pod Overview
- Understanding Pod Lifecycle
- Multi-container Pod
- Static Pod
- Init Containers
- Labels, Selectors & Annotations
- Lab: Imperative Commands and Formatting Output with kubectl
- Lab: Working with Single Container Pods
- Lab: Creating Multi-container Pod
- Lab: Creating Init Container Pod
- Lab: Working with Static Pod
5. Kubernetes Networking and Service
- Cluster Communications
- Pod and Node Networking
- Container Network Interface (CNI)
- Service Networking: ClusterIP, NodePort & Load Balancer
- Ingress Rules
- Cluster DNS
- Network Policies
- Lab: Exposing Applications using various types of Services
- Lab: Install and Configure Ingress Controller
- Lab: Create Network Policies to control traffic flow
6. Application Lifecycle Management
- Pods: Single Container, Multi Container, Static, Init
- Deploying Applications in the Kubernetes Cluster
- Controllers: Replication Set and Deployment
- Security Context
- Rolling Updates and Rollbacks
- High Availability and Scaling
- Imperative Commands & YAML Manifests
- Lab: Deploying Application using Replication Controller
- Lab: Deploying Application using Replica Set
- Lab: Rolling Updates and Rollbacks
- Lab: Deploying Application using Daemon Set
- Lab: Deploying StatefulSet Application
- Lab: Deploying Multi-Tier Application
7. Working with Kubernetes Scheduler
- Pod Scheduling within the Kubernetes Cluster
- Configuring the Kubernetes Scheduler
- Running Multiple Schedulers
- Taints, Tolerations, Node Selector, Labels & Selectors
- Scheduling Pods with Resource Limits
- Displaying Scheduler Events
- Lab: Manually Scheduling Pod
- Lab: Scheduling using Node Selector and Labels
- Lab: Taints and Tolerations
- Lab: Affinity and Anti-Affinity
8. Storage
- Managing Data in the Kubernetes Cluster
- EmptyDir, hostPath, Persistent Volume, Persistent Volume Claim
- Volume Access Modes
- Applications with Persistent Storage
- ConfigMaps and Secrets
- Lab: Working with Kubernetes Volume Service
- Lab: Working with ConfigMaps and Secrets
Pricing plans for you.
Sitecore Learnings.
Content Management
- Creating and managing templates, layouts, and rendering.
- Working with placeholders and presentation details.
- Media Library usage and best practices.
Development Essentials
- Sitecore Helix architecture and modular design principles.
- Creating custom components using .NET (MVC/Razor).
- Using Sitecore APIs (Item API, Search API, etc.).
Security and Workflow
- Setting up roles, users, and item-level security.
- Workflow configuration for content approval processes.
- User Management.
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Some frequently asked questions
We provide comprehensive training for individuals and corporate teams in Azure Cloud, .NET, C#, Python, AI, Machine Learning, Data Science, and Sitecore.
- Our programs are designed for:
- Beginners starting their tech journey
- Experienced professionals looking to upskill
- Corporate teams needing tailored, real-world training.
We offer flexible online instructor-led, self-paced, and on-site corporate training options to suit different learning preferences.
Yes! All our trainings are project-based, with real-time labs, coding exercises, and case studies to ensure practical skill development.
Yes, a certificate of completion is provided for all courses. Our Azure, .NET, and Data Science tracks also prepare you for industry certifications.
Absolutely. We deliver customized corporate training solutions, including skill-gap analysis, tailored content, and flexible scheduling to align with business needs.
- We specialize in::
- Microsoft Azure Cloud
- .NET and C# Development
- Python Programming
- AI & Machine Learning
- Data Science & Analytics
- Sitecore CMS Development
Yes, participants receive lifetime access to course materials, session recordings, and code repositories.
