Large Language Models
Understand the architecture of enterprise LLM applications.
Ten focused training programs
Choose the work you want to do next
Start with a career path. See only the programs that support that work, then speak with Gaurav S. Ex-HCL • Ex-Wipro • Ex-Accenture • Ex-HP. Now Director of AI at Leading MNC.
Featured flagship program
Forward Deployed Engineer
Develop the technical and consulting skills required to understand customer requirements, design enterprise solutions, integrate AI systems and support production deployments.
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Program explorer
Start with your career direction
A program may support more than one path. Choose the work that matters most to you now.
04 career paths
01Enterprise AI Engineering
02DevOps & Infrastructure Automation
03Production Operations
04Security Operations
Build AI systems for enterprise work
Move from model fundamentals to knowledge retrieval, tool connectivity and complete customer-facing solution delivery.
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Retrieval-Augmented Generation
Build AI systems grounded in enterprise knowledge.
Model Context Protocol
Connect AI applications with tools and enterprise systems.
Forward Deployed Engineer
Design, deploy and support enterprise AI and software solutions.
Automate delivery and infrastructure
Build the foundations for software delivery, configuration management, cloud provisioning and AI-assisted operations.
DevOps Engineering
Automate software delivery across enterprise environments.
Ansible Automation
Automate configuration, administration and infrastructure operations.
Terraform and Infrastructure as Code
Provision multi-cloud infrastructure using version-controlled code.
Generative AI for DevOps
Apply AI to software delivery, infrastructure and operations.
Understand and support production systems
Connect software delivery with system visibility, troubleshooting and AI-assisted operational work.
DevOps Engineering
Automate software delivery across enterprise environments.
Observability Engineering
Understand application and infrastructure behavior.
Generative AI for DevOps
Apply AI to software delivery, infrastructure and operations.
Investigate security and operational signals
Build security monitoring, system visibility and AI-assisted investigation skills for enterprise environments.
SIEM and Security Operations
Develop enterprise security-monitoring and investigation skills.
Observability Engineering
Understand application and infrastructure behavior.
Generative AI for DevOps
Apply AI to software delivery, infrastructure and operations.
Compare all 10 programs
| Program | Primary focus | Relevant learning areas |
|---|---|---|
| Forward Deployed Engineer | Enterprise solution delivery | Software, cloud, AI, deployment and consulting |
| DevOps Engineering | Software-delivery automation | CI/CD, containers, Kubernetes and operations |
| Ansible Automation | Configuration automation | Playbooks, roles, operating systems and patching |
| Terraform and Infrastructure as Code | Infrastructure provisioning | Multi-cloud infrastructure, networking and IAM |
| SIEM and Security Operations | Cybersecurity monitoring | Detection, investigation, SOC and threat hunting |
| Observability Engineering | System visibility | Metrics, logs, traces, dashboards and alerts |
| Large Language Models | Enterprise LLM foundations | Prompts, context, functions, security and governance |
| Retrieval-Augmented Generation | Knowledge-grounded AI | Documents, embeddings, retrieval and vector search |
| Model Context Protocol | AI tool connectivity | Hosts, clients, servers, tools and enterprise systems |
| Generative AI for DevOps | AI-assisted operations | Pipelines, infrastructure, logs, incidents and ChatOps |
Not sure where to start?
Gaurav S. Ex-HCL • Ex-Wipro • Ex-Accenture • Ex-HP. Now Director of AI at Leading MNC. Your current skills, target role and practical gaps will shape the recommended starting point.