6-Month Powerhouse Roadmap: ML, LLM, MLOps & LLMOps
Level up your skills with the definitive AI Engineering journey—mastering Machine Learning (ML), Large Language Models (LLMs), MLOps, and LLMOps through associate-to-advanced tooling, real-world pipelines, and a full suite of production projects.
Months 1-3
Months 4-5
Month 6: Corporate-Grade Capstone Projects Sprint
The final month is a hands-on project marathon: ship 12 production-ready, team-based capstones featuring real-world requirements, end-to-end pipelines, and scalable GenAI and MLOps/LLMOps stacks.
💥 Capstone Projects Lineup
- Multi-Cloud ML Pipeline: Cloud-agnostic, reproducible ML pipeline on AWS, GCP, or Azure with full CI/CD, automated retraining, and deployment.
- LLM-Powered Customer Support Bot: Build, deploy, monitor, and scale a RAG-based chatbot integrating vector DBs, prompt engineering, and monitoring in prod.
- Automated Data Drift & Model Monitoring Platform: Live dashboards and alerting for ML/LLM drift, with workflow-triggered retraining.
- End-to-End MLOps with Kubeflow: Pipeline ingestion, training, validation, deployment, and versioning on Kubernetes.
- GenAI Content Moderation System: LLM-based filtering, hallucination detection, safe output auditing, and logging.
- Realtime Recommendation System: Scalable, low-latency recommendations with automated A/B testing and rollback capabilities.
- LLM CI/CD & LLMOps: Secure, audited LLM model deployment flow, version tracking, experiment tracking, and production-grade serving.
- Explainable AI Platform: Build dashboards for SHAP/LIME explanations, drift, and transparency for ML and LLM predictions.
- Secure Model API Gateway: An API gateway with rate limits, RBAC, and approval flows for ML/LLM serving in regulated environments.
- Human-in-the-Loop AI Feedback System: Real-world feedback integration into model improvement pipelines for continuous learning.
- Serverless ML/LLM Event Pipeline: Auto-triggered retraining or inference with Lambda/Cloud Functions for a scalable, cost-optimized solution.
- Business KPI AI Insights Board: Combine structured/unstructured reporting via model insights and LLM-generated summaries on a live dashboard.
🎓 Program Structure & Outcomes
- Every lesson is coding-focused with a hands-on project.
- Benefit from live code reviews, team sprints, and hackathons.
- Master practical ML/LLM building blocks and deployment tools.
- Become fluent in production MLOps/LLMOps workflows.
- Build and present 12 full-scale, corporate-ready projects.
- Graduate with a production-grade portfolio to impress any employer.