Training Catalog

AI & Machine Learning for Enterprise (3 Days)

Artificial Intelligence & Machine Learning
GC-AI (3 Days, Local & Online Available)

Course Overview

Master the fundamentals of AI and Machine Learning for enterprise applications. This comprehensive course covers everything from understanding AI concepts to implementing practical solutions using modern AI platforms and tools.

Learn how to leverage Large Language Models (LLMs), build AI-powered applications, implement RAG (Retrieval-Augmented Generation) systems, and integrate AI capabilities into your existing business workflows. This training focuses on practical, production-ready AI implementations.

With the rapid evolution of AI technologies in 2026, staying current is essential. This course covers the latest developments including AI agents, multimodal models, and enterprise AI governance.

What You'll Learn

• Understanding AI fundamentals: Machine Learning, Deep Learning, and LLMs
• Working with OpenAI, Claude, and open-source models (Llama, Mistral)
• Building RAG systems with vector databases (Pinecone, Weaviate, ChromaDB)
• Implementing AI agents and autonomous workflows
• Prompt engineering and fine-tuning techniques
• AI security, governance, and responsible AI practices
• Integrating AI with cloud services (AWS Bedrock, SageMaker)
• Cost optimization strategies for AI workloads

Classroom Live Outline

• Day 1: AI Fundamentals, LLMs, and Prompt Engineering
• Day 1: Hands-on with OpenAI API and Claude
• Day 2: RAG Architecture and Vector Databases
• Day 2: Building a Knowledge Base with Embeddings
• Day 3: AI Agents and Autonomous Workflows
• Day 3: Enterprise AI Integration and Best Practices
• Capstone: Build an AI-Powered Enterprise Assistant

Prerequisites

• Basic Python programming knowledge
• Understanding of APIs and REST services
• Familiarity with cloud concepts (recommended)

Cloud Management Training (AWS) (4 Days)

AWS Cloud Architecture & Operations
GC-AWS (4 Days, Local and Remote / Online Available)

Course Overview

Master AWS cloud infrastructure management from architecture to operations. This comprehensive training covers everything you need to design, deploy, and manage production-grade AWS environments.

Learn the latest AWS services and best practices for 2026, including serverless architectures, container orchestration with EKS, infrastructure as code with CDK/Terraform, and cost optimization strategies that can reduce your cloud spend by up to 40%.

What You'll Learn

• AWS Well-Architected Framework and architectural best practices
• VPC design, networking, and hybrid cloud connectivity
• EC2, Auto Scaling, and Load Balancing strategies
• Serverless architecture with Lambda, API Gateway, and Step Functions
• Container orchestration with ECS and EKS
• Infrastructure as Code with AWS CDK and Terraform
• Database solutions: RDS, Aurora, DynamoDB, and ElastiCache
• Monitoring with CloudWatch, X-Ray, and AWS Observability
• Cost management and FinOps practices
• AWS Organizations and multi-account strategies

Classroom Live Outline

• Day 1: AWS Fundamentals, IAM, VPC, and Networking
• Day 1: Compute Services (EC2, Lambda, Containers)
• Day 2: Storage and Database Solutions
• Day 2: Infrastructure as Code with CDK
• Day 3: High Availability and Disaster Recovery
• Day 3: Monitoring, Logging, and Observability
• Day 4: Security Best Practices and Compliance
• Day 4: Cost Optimization and FinOps
• Capstone: Deploy a Production-Ready Application

Prerequisites

• Basic Networking Knowledge (TCP/IP, DNS, HTTP)
• Basic Linux Command Line Knowledge
• Understanding of basic cloud concepts

DevOps Training (4 Days)

Modern DevOps Practices & Platform Engineering
GC-DVPS (4 Days, Local and Remote / Online Available)

Course Overview

Transform your software delivery with modern DevOps practices. This comprehensive training covers the complete DevOps lifecycle from code to production, including CI/CD pipelines, containerization, Kubernetes, GitOps, and platform engineering.

Learn how to implement DevOps culture, automate everything from infrastructure to deployments, and build self-service platforms that enable developer productivity. This course reflects the latest 2026 trends including AI-assisted development, internal developer platforms, and sustainable DevOps practices.

What You'll Learn

• DevOps culture, principles, and organizational transformation
• Git workflows, branching strategies, and code review practices
• CI/CD pipeline design with GitHub Actions, GitLab CI, and Jenkins
• Containerization with Docker and container security
• Kubernetes orchestration: deployments, services, and Helm charts
• GitOps with ArgoCD and Flux
• Infrastructure as Code with Terraform and Pulumi
• Platform engineering and Internal Developer Platforms (IDP)
• Observability: metrics, logs, and traces with Prometheus, Grafana, and OpenTelemetry
• AI-assisted development and Copilot integration

Classroom Live Outline

• Day 1: DevOps Fundamentals, Git, and CI/CD Foundations
• Day 1: Building Pipelines with GitHub Actions
• Day 2: Docker Deep Dive and Container Best Practices
• Day 2: Kubernetes Fundamentals and Deployments
• Day 3: GitOps with ArgoCD
• Day 3: Infrastructure as Code with Terraform
• Day 4: Observability and Monitoring Stack
• Day 4: Platform Engineering Concepts
• Capstone: Build a Complete CI/CD Pipeline with GitOps

Prerequisites

• Basic Linux command line knowledge
• Basic programming/scripting experience
• Understanding of software development lifecycle

SecOps Training (3 Days)

Security Operations & Cloud Security
GC-SEC (3 Days, Local and Remote / Online Available)

Course Overview

Master security operations for modern cloud-native environments. This training covers the complete security lifecycle from threat detection to incident response, with hands-on experience in security tools and practices.

Learn how to implement zero-trust architecture, secure CI/CD pipelines, perform vulnerability management, and respond to security incidents. The course covers the latest 2026 security trends including AI-powered threat detection and supply chain security.

What You'll Learn

• Security operations fundamentals and SecOps culture
• Zero-trust architecture and implementation
• Cloud security for AWS, Azure, and GCP
• Container and Kubernetes security
• DevSecOps: Security in CI/CD pipelines
• SAST, DAST, and SCA tools integration
• Vulnerability management and patching strategies
• SIEM and log analysis with modern tools
• Incident response and threat hunting
• Compliance frameworks: SOC2, ISO 27001, GDPR
• Supply chain security and SBOM

Classroom Live Outline

• Day 1: SecOps Fundamentals and Zero-Trust Architecture
• Day 1: Cloud Security Best Practices (AWS Focus)
• Day 2: DevSecOps and Pipeline Security
• Day 2: Container and Kubernetes Security
• Day 3: SIEM, Monitoring, and Threat Detection
• Day 3: Incident Response and Compliance
• Capstone: Security Assessment and Remediation Lab

Prerequisites

• Basic networking and security concepts
• Familiarity with cloud platforms
• Basic Linux command line knowledge

N8N Workflow Automation (2 Days)

Low-Code Automation & AI Workflows
GC-N8N (2 Days, Local and Remote / Online Available)

Course Overview

Master N8N, the powerful open-source workflow automation platform. Learn to build sophisticated automations that connect your applications, APIs, and AI services without writing extensive code.

This hands-on training covers everything from basic workflow creation to advanced AI agent orchestration. N8N has become a critical tool for businesses looking to automate repetitive tasks, integrate systems, and build AI-powered workflows in 2026.

What You'll Learn

• N8N fundamentals: nodes, workflows, and triggers
• Self-hosting N8N on cloud infrastructure
• Building API integrations and webhooks
• Data transformation and processing workflows
• Conditional logic, loops, and error handling
• AI integration: OpenAI, Claude, and custom LLMs
• Building AI agents with N8N
• Database integrations: PostgreSQL, MongoDB, Supabase
• Notification workflows: Slack, Email, SMS
• Production deployment and scaling
• Security best practices and credential management

Classroom Live Outline

• Day 1: N8N Fundamentals and Core Concepts
• Day 1: Building Your First Automation Workflows
• Day 1: API Integrations and Webhooks
• Day 2: Advanced Data Processing and Logic
• Day 2: AI Integration and Agent Workflows
• Day 2: Production Deployment and Best Practices
• Capstone: Build a Complete Business Automation Solution

Prerequisites

• Basic understanding of APIs and JSON
• Familiarity with web concepts
• No programming experience required