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GenAI & Agentic AI for Cloud & DevOps

Add AI superpowers to your DevOps stack. Learn AIOps, LLM-powered pipelines and intelligent cloud automation with IBM Watsonx.

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Duration

5 Months

Mode

Live Online

Certified by

IBM Watsonx

Live Online

5 Months

Learnbay

94% placed

Placement Rate 94%

Alumni 15,000+

Vikram Joshi DevOps Lead @ Capgemini

"I was already a senior DevOps engineer. This program gave me the AI edge I needed to move into leadership."

Meera T. AIOps Engineer @ IBM

"The AIOps content is cutting-edge. I went from DevOps to AIOps in just 5 months."

What You'll Learn

Program Curriculum

Seven focused terms taking you from GenAI fundamentals through agentic AI, LLMOps, and a specialised Cloud & DevOps track — built specifically for infrastructure professionals.

Python for infrastructure automation & scripting

Working with REST APIs, JSON & YAML from Python

Boto3 & Azure SDK for cloud automation

Data analysis: Pandas & NumPy for ops data

Git, GitHub & collaborative scripting workflows

How LLMs work: transformers, attention, tokenisation

Prompt Engineering for technical and ops use cases

IBM Watsonx.ai: model hub & enterprise APIs

OpenAI API integration & function calling

RAG architecture: embedding, retrieval & generation

LangChain: chains, memory & tool integrations

Vector databases: Pinecone, ChromaDB for ops knowledge

Building GenAI-powered runbook assistants

LLM-powered log analysis & anomaly detection

Document intelligence for infrastructure documentation

AI agents for DevOps: deployment, rollback & scaling

LangGraph for stateful infrastructure automation agents

AutoGen multi-agent systems for ops workflows

Self-healing infrastructure with agentic AI

AI-driven incident response & root cause analysis

Deploying LLMs with Docker & Kubernetes

CI/CD pipelines for AI-powered cloud applications

LLMOps: model versioning, evaluation & guardrails

Cost optimisation for LLM inference at scale

Monitoring AI workloads: Prometheus, Grafana, alerts

AIOps: AI for predictive alerting & capacity planning

LLM-powered Terraform & IaC generation

GenAI for cloud cost analysis & optimisation

AI-assisted security scanning & compliance

Capstone: AI-powered cloud ops dashboard

Smart Hiring Tool: AI-powered resume screening & candidate matching

Financial Report Generator: LLM-driven cloud cost reporting

Project Performance Dashboard: AI ops analytics platform

Employee Feedback Insights: NLP pipeline for HR analytics

Tools & Technologies

What You'll Work With

LangChain LangGraph IBM Watsonx AutoGen Python OpenAI API Pinecone ChromaDB RAG Pipelines Docker Kubernetes Terraform Prometheus Grafana AIOps AWS Azure GitHub Actions Git & GitHub

Ideal Candidates

Who Should Enrol

Cloud Engineers

AWS, Azure, or GCP engineers who want to layer GenAI and Agentic AI on top of their existing cloud infrastructure expertise.

DevOps & SRE Professionals

DevOps engineers and SREs looking to implement AIOps, intelligent alerting, and AI-driven automation in their production pipelines.

Platform Engineers

Platform and infrastructure engineers who want to build AI-powered internal developer platforms and self-healing cloud systems.

IT Operations Managers

Ops leads with 3+ years experience who want to implement GenAI solutions in their cloud operations and lead digital transformation initiatives.

Credentials

Certifications You'll Earn

IBM Watsonx

IBM Certified AI Professional

Industry-recognised IBM credential validating your GenAI expertise applied to cloud and infrastructure automation — a differentiator for senior cloud engineering roles.

AI Co-Lab

Industry Project Certificate

Employer-endorsed certificate from completing one of four real-world capstone projects — concrete proof of production-level GenAI and AIOps capability.

Learnbay

GenAI for Cloud & DevOps Completion

Programme completion certificate specifically aligned to cloud automation and AIOps roles — covering LLMs, agentic AI, and LLMOps on cloud infrastructure.

Partner MNCs

MNC Collaboration Certificates

Startup and MNC-endorsed certificates from elective industry projects — demonstrating applied GenAI skills for hiring managers at enterprise cloud companies.

Career Services

Complete Placement Support

Resume Building

Expert-crafted, ATS-optimised resumes that pass screening at top AI companies, banks, and consulting firms.

Mock Interviews

Simulated technical and HR interviews with industry experts from Walmart, PayPal, Paytm, and other hiring partners.

Interview Referrals

Direct interview calls from 350+ hiring partners - JPMorgan, KPMG, Microsoft, Samsung, Deloitte, and more.

LinkedIn Optimisation

Personalised LinkedIn profile review to maximise recruiter visibility at AI-first and cloud engineering companies.

24/7 Doubt Support

Round-the-clock query resolution via dedicated channels - no cloud, DevOps, or GenAI concept keeps you stuck for more than an hour.

1-on-1 Mentorship

Personalised mentorship from cloud, DevOps, and AI professionals guiding every stage of your growth.

Investment

Program Fee & Enrolment

₹1,20,000

+ 18% GST | No-cost EMI available

150+ hours of live instructor-led classes
3-year subscription with unlimited access
8+ guided AI Cloud & DevOps projects
IBM Watsonx certification
Choice of 2 industry elective capstone projects
Placement assistance & career support
24/7 doubt resolution support

Enroll Now → Book Free Demo Class

No-cost EMI on 3, 6, or 9 month plans through partner banks

FAQ

Frequently Asked Questions

Prior knowledge of Python, cloud basics, and some DevOps exposure is expected. The programme is designed for cloud and DevOps professionals with 1+ year of experience, not absolute beginners. Freshers with a strong cloud background are considered.

This 5-month program assumes existing cloud and DevOps knowledge and focuses entirely on adding GenAI and Agentic AI capabilities. The 9-month program builds cloud fundamentals from scratch before adding GenAI. Choose this if you're already working in cloud or DevOps.

You will build 8+ projects including AI-powered runbook assistants, LLM-driven log analysis tools, self-healing infrastructure agents, and a choice of two industry capstone projects from: Smart Hiring Tool, Financial Report Generator, Project Performance Dashboard, or Employee Feedback Insights.