Build real skills. Earn 3 specialisations. Thrive in the AI era.
AI Trinity Tracks
A hands-on, project-driven challenge to master MLOps, AIOps / Agentic DevOps and Bionic Devops in 10 Misisons, that helps you level up with real-world AI skills, guided roadmaps, and a project portfolio.
3 Minidegrees
MLOps, AIOps, Agentic DevOps
Advanced Level
This Program is only for experienced DevOps Professionals
6 Months
at 6-8 hours a week
Flexible Schedule
Learn at your own Pace
What are the AI Trinity Specialisations?
The AI Trinity Challenge is a quarterly skill sprint for DevOps professionals who want to stay ahead of the AI wave — by mastering three transformative domains:
MLOps: Package, deploy, and monitor ML models at scale
AI-Ops (Bionic DevOps): Use AI agents, MCP Servers, AI Tools and copilots to augment pipelines
Agentic DevOps: Build autonomous systems that act, decide, and self-heal
No just theory. No fluff. Just real DevOps mastery — one project at a time.
🎯 Who This Is For
Working, mid-career DevOps/SRE/Platform Engineers with 5+ years of experience who:
- Want to move beyond traditional DevOps tools
- Are curious about AI agents, LLMOps, and autonomous systems
- Need a structured path, weekly accountability, and career-ready proof of skills
- Are ready to stop watching and start building real AI-DevOps systems
🚀 What You’ll Build
Following are some highlighted projects you are going to build as part of the 3 Minidegree Tracks (MLOps, AIOps, Bionic DevOps Tracks). These would help you build real world skills and get ready for AI in Devops and Devops for AI.
Project 1 - ML Workflow from Data to Model
Understand the ML Project Development workflow and setup Data Processing, Feature Engineering, Exploratory Data Analysis, Model Training Pipeline with Scripts and Jupyterhub Notebooks
Project 4 - ML Monitoring and Scaling
Setup Monitoring with Prometheus and Grafana with Custom Dashboards for FastAPI. Use KEDA for even driven autoscaling based on custom metrics.
Project 7 - RAG Powered Kubernetes ChatOps with Local Model
Setup a Locally running LLM Model along with a Vector Database and Embeddings. Add a custom knowledgebase with Kubernetes and use it for smart Kubernetes Mangement.
Project 10 - Multi Agent Workflow for Docker Automation
Using Agentic Frameworks, create a Multi Agent Workflow to Automate Docker Tasks.
Project 2 - Model Packaging and Serving with Containers
Understand how to package a Scikit Learn Regression Model with FastAPI and Streamlit Applications and containerize it with Docker. Setup Inference on Kubernetes.
Project 5 - Build a Terraform Module using Code Agents
Use Copilot tools such as VSCode / Cursor along with AI Code Agent capabilities to generate DevOps Code (e.g. Terraform). Learn about the best practices related to prompting and spec writing.
Project 8 - Build a Kubernetes RCA Agent
Build a simple Kubernetes RCA Agent with locally running LLM, which queries Prometheus for Metrics, Loki for Logs and presents a Root Cause Analysis (RCA) Report with Remdiation Proposal.
Project 3 - GitOps Based Delivery with GHA and Argo
Learn how to setup ML Workflow Pipelines with GitHub Action Wokflows. Also learn how to setup Automated Deployment using ArgoCD.
Project 6 - AI Augmented CI/CD Pipeline
Use AI Tools including MCP Servers, Code Review Agents etc. to setup AI Based PR Review as well as to setup and manage ArgoCD Application Deployments.
Project 9 - Sysops Automation Agent
Using a Agentic Framework, create a simple Sysops Agent which reads the Document, Interprets it and Automated operations tasks.
Tech Stack
Some of the technologies you are going to use and learn while building these projects.
What Certifications you Earn ?
Following are the currently available complete courses available on AI/MLOps Topics.
MLOps
"I support AI workloads."
AI-Ops (Bionic Devops)
“I use AI to supercharge DevOps”
Agentic Devops
I build intelligent, autonomous infrastructure
1. Enroll & Join the Platform
2. Complete Roadmaps/Journeys with Missions (via LMS, get support on Discord )
3. Build, Submit & Showcase
4. Earn XP + Minidegrees
5. Level up your portfolio, career, and confidence
Instructor Led Live Training/Teaching (Same content is already recorded with crisp and to the point lessons)
Classroom Training
Live Lectures where you watch but do not build.
Roadmaps
Attend Live Build Sessions every Wednesday between 8.30PM - 10.30PM IST where you can interact with the faculty, ask questions and get a walkthrough of how to build the project.
Courses
Build Solo or build with others. Every sunday, you could participate in the co-working hours on discord where you will get a space to build with others and discuss the projects.
Projects
You will get guided project solutions along with Git Repo with code and supporting files ready to go. You need not struggle to get building.
Minidegrees
The Projects you would build will help you build Real World skills and give you confidence to tackle real world on job challenges.
