MLOps Student Guide
Everything you need to know about learning MLOps, building production AI systems, and launching your career.
What is MLOps?
MLOps (Machine Learning Operations) is the practice of building, deploying, monitoring, and maintaining ML models in production. It bridges the gap between data science and software engineering.
Think of it like this:
- 📊 Data Scientists build models in notebooks
- 🔧 MLOps Engineers deploy those models to production
- 📈 MLOps ensures models stay accurate over time
Why Learn MLOps in 2026?
High Demand
Companies need MLOps engineers to ship AI at scale
High Salary
₹15-50 LPA in India, $150K-$300K+ in USA
Future-Proof
AI adoption is accelerating; MLOps is core infrastructure
Practical Skills
Learn production tools companies actually use
Career Transitions
Perfect path from DevOps, Data Science, or Engineering
Portfolio Projects
Build real systems you can show employers
What You'll Learn in the Masterclass
DevOps Fundamentals
Docker, Kubernetes, CI/CD, Linux
MLOps Pipelines
MLflow, DVC, experiment tracking, model versioning
LLMOps & GenAI
Deploy LLMs, fine-tuning, RAG, vector databases
AIOps
Monitoring, anomaly detection, self-healing infrastructure
AI Agents
LangChain, CrewAI, MCP, multi-agent systems
Capstone Projects
Build 4 production-ready systems
Which Option Is Right for You?
Live Cohort ₹40K
Choose this if you want:
- ✓ Direct access to instructor
- ✓ Structured 4–5 month schedule
- ✓ Peer learning with cohort
- ✓ Weekly live sessions
- ✓ Career guidance & support
Recordings ₹30K
Choose this if you want:
- ✓ Learn at your own pace
- ✓ Lifetime access to videos
- ✓ Lower investment
- ✓ No time commitment
- ✓ Rewatch anytime, anywhere
Career Paths After the Course
MLOps Engineer
₹12-40 LPA
Build and maintain ML pipelines at companies
Platform Engineer
₹15-50 LPA
Design ML infrastructure for enterprises
LLM / GenAI Engineer
₹20-50+ LPA
Deploy and fine-tune large language models
DevOps Engineer (ML)
₹10-30 LPA
Specialize in ML-focused infrastructure
Student FAQ
Do I need ML experience?▼
No. The course starts with DevOps fundamentals and builds up. But familiarity with Python helps.
Can I do this while working?▼
Yes. The live cohort runs Mon–Fri, 8:00–9:45 PM IST (evening). Or choose recordings and study at your pace.
What if I can't finish?▼
You keep lifetime access to recordings. Pause and resume whenever you want.
Will I get a job?▼
We provide interview prep and connect you with companies. Your portfolio projects are your best job asset.
Is this for freshers only?▼
No. The course is designed for career changers, DevOps engineers moving to MLOps, and anyone learning production AI.
All private courses for ₹1,199/month
Skip ₹30K–₹40K upfront. Join AI & ML AI Agentic Pro and unlock the full library — old sessions, new uploads, members-only live classes — plus 1:1 career help when you share your Member ID.
⭐ Recommended · Agentic Pro
AI & ML AI Agentic Pro
The complete library + mentorship access
≈ ₹40/day for the full library + mentorship
- ALL members-only videos — private courses, past sessions & new uploads
- Members-only live streams & class replays
- Full archive: old videos + every upcoming release
- Includes every perk from Learner & Practitioner tiers
- Share your YouTube Member ID on WhatsApp → 1:1 mentorship from Rajinikanth
- Interview tips, resume feedback & career Q&A from the team
Why not ₹179 or ₹419?
Lower tiers = partial access only
Students who pick the cheaper plans often come back asking for the full library. Agentic Pro is the only tier with every members-only video, live stream replay, and direct mentorship from Rajinikanth's team.
3 steps to unlock mentorship
Takes under 2 minutes
- 1Join Agentic Pro on YouTube
- 2Copy your Member ID from settings
- 3WhatsApp it to us — get learning path, interview tips & Q&A help
Billed monthly via YouTube. Want live cohort + capstones? See the MLOps Masterclass. Free public videos on YouTube.
Ready to Start Your MLOps Journey?
Classes are running now. Join other students learning production ML and building AI systems.