Build, Deploy & Scale with GenAI for DevOps
Transform your continuous delivery workflows with Generative AI. Build self-healing systems, automate Infrastructure-as-Code generation, and resolve production incidents in real-time using agentic AI.
GenAI for DevOps Engineers
Learning Mode
Live + Self-Paced
Instructor-led sessions, hands-on labs, projects, and lifetime access.
Who Should Join
Developers & DevOps Engineers
Perfect for Software Engineers, Cloud Engineers, SREs, Platform Teams and AI enthusiasts.
What You'll Build
AI Agents & Automation
Build autonomous AI agents, RAG pipelines, LLM applications, MCP servers, and enterprise workflows.
Technologies
Production AI Stack
OpenAI, Claude, LangChain, Vercel AI SDK, Vector Databases, Docker, Kubernetes, AWS & GitHub Actions.
Generative AI for Infrastructure
Upgrade your existing cloud and system administration toolkit with modern GenAI capabilities. This track emphasizes agentic application development and LLM integration, teaching you to wire AI directly into the platforms and pipelines you already manage.
Agentic Workflows
Master autonomous single- and multi-agent systems using LangChain, LangGraph, CrewAI, and AutoGen. Move beyond simple chatbots to build self-healing loops and automated incident response tools that can execute runbook remediation scripts autonomously.
LLMs & Enterprise RAG
Build a deep understanding of tokens, context windows, and hallucination mitigation. Learn to design multi-step prompts and construct Retrieval-Augmented Generation (RAG) pipelines to build secure, private 'Company GPT' knowledge assistants.
5,000+
Engineers successfully trained across Linux, Red Hat, Cloud & DevOps tracks. Join an established, trusted alumni network.
10+ Years
Of established leadership in IT training, empowering working professionals to step into high-impact infrastructure careers.
100%
Practical, lab-first teaching style. We eliminate abstract data science math in favor of real terminal environments and production tools.
Generative AI for Cloud & DevOps.Production-grade Agentic systems.
Master Python, LLM APIs, Vector Databases, and Multi-Agent frameworks to automate real infrastructure and deploy self-healing CI/CD pipelines.
FoundationsGenAI CoreAgentic AICloud & DeployFoundationsGenAI CoreAgentic AICloud & DeployWho is this GenAI course for?
| Student Profile | Career Objective | Prerequisites | Action |
|---|---|---|---|
| DevOps Engineers | Add Agentic systems and generative workflows to your existing automation toolkit. | Basic Scripting | |
| Cloud Engineers | Specialize in AWS/Azure/GCP AI infrastructure and deploy secure RAG applications. | Basic Scripting | |
| Linux & SysAdmins | Move up the value chain by integrating autonomous incident response agents. | Basic Scripting | |
| General / Non-IT Students | Seeking a generic data science bootcamp without infrastructure context. | Needs IT Basics |
Enabling You to Excel
GenAI Curriculum for You
Foundations of Data & ML
- How to use Python to manipulate, clean, and organize data for analysis?
- How to understand data types, missing values, and visualization?
- How to train, evaluate, and deploy foundational machine learning models?
LLM Fundamentals & Prompting
- How to manage tokens, context windows, and mitigate AI hallucinations?
- How to design structured prompts and chain-of-thought multi-step tasks?
- How to build robust GenAI applications using OpenAI and Anthropic APIs?
Master how transformers and LLMs work under the hood and build AI applications using modern API design.
Vector Databases & RAG
- How to implement embeddings and semantic similarity search?
- How to build document ingestion and retrieval pipelines using ChromaDB/Pinecone?
- How to apply context injection and hallucination reduction in RAG setups?
Construct full Retrieval-Augmented Generation (RAG) pipelines to build secure enterprise knowledge systems.
Agentic AI Systems (Core)
- How to design the agent loop and ReAct-style reasoning workflows?
- How to wire AI agents directly to infrastructure tools via API calling?
- How to orchestrate multi-agent crews for complex automation tasks?
Build autonomous single- and multi-agent systems using LangChain, LangGraph, CrewAI, and AutoGen.
Open Source LLMs & Local Runtime
- How to set up Ollama and local inference servers for data privacy?
- How to deploy and run Llama 3, Mistral, and DeepSeek locally?
- How to evaluate cost, latency, and performance trade-offs for open-source models?
Run, quantize, and benchmark open-source models locally without relying on hosted external APIs.
Agentic AI Skills You'll Gain
Learn everything from Prompt Engineering and LLMs to RAG, MCP, AI Agents, LangGraph, CrewAI, Vector Databases, and production-ready autonomous AI systems.
Concepts
Skills
Python & ML Basics
LLM Foundations
Vector DB & RAG
Agentic Frameworks
Multi-Agent Systems
Why GenAI From Grras
What Makes this GenAI Course Best from Others
Built for DevOps Engineers
Not for data scientists — every module is framed around real infrastructure, cloud, and DevOps use cases (log analysis, incident response, runbook automation).
Agentic AI Core Focus
19 of the 100 hours are dedicated purely to autonomous AI agents and multi-agent frameworks, the single most in-demand GenAI skill in tech.
Zero-to-Production Curriculum
Starts with Python fundamentals for absolute beginners, and ends with a deployed, containerized, CI/CD-driven AI application.
100% Hands-On Learning
18 modules, 18 hands-on labs/projects, and 1 capstone. Every concept is immediately applied, never just theory.
Full-Stack GenAI Tooling
LangChain, LangGraph, CrewAI, AutoGen, RAG pipelines, vector DBs, and multi-provider LLM APIs (OpenAI, Anthropic Claude, Google Gemini).
DevOps Discipline Applied to AI
Teaches containerizing, deploying, monitoring, and CI/CD-ing AI systems, not just building them.
Flexible Pacing Options
10 hrs/week (10 wks) | 8 hrs/week (~12 wks) | 5 hrs/week weekend (20 wks) to fit around working professionals' schedules.
Backed by GRRAS Brand Trust
From India's trusted DevOps & Cloud training leader — backed by GRRAS's track record of training 5,000+ engineers in Linux, Red Hat & DevOps.
Generative AI Industry
Career Report '26
Annual AI Talent Demand Growth (India)
Average GenAI Salary
Average CTC
Engineer CTC
Reported CTC
Salary Premium vs IT Services
Our Recruiters
Program Fees & Investment
Get complete access to all 18 modules, hands-on lab environments, cloud sandbox credits, and the final production capstone project. Flexible 0% EMI options are also available.
Master GenAI
for Infrastructure
Level up your Cloud and DevOps skills by building self-healing Agentic AI pipelines.