1The Language
Python Programming
Automation Engineer
Syntax to scripts that do real work — files, APIs, data and the automation you'll reuse at your desk.
- Core Python
- Files & APIs
- Data handling
- Automation
80 hrsBeginner
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Artificial Intelligence Mastery Path
The honest route into AI engineering: Python first, the algorithmic thinking interviews demand, then the full AI engineering stack — and finally the MLOps to run models in production.
- one continuous road
- 4 stages
- at a working pace
- 10–14 months
- full progression
- Beginner → Expert
one continuous road
at a working pace
full progression
The road
4 stages. One direction.
Every stage is taught live by a working engineer — and every stage assumes only the one before it.
Why this stage
“AI is written in Python. There is no step zero — this is it.”
2The Discipline
Data Structures & Algorithms (with System Design)
Software Engineer
The pattern library behind every interview round, plus the system design round that follows it.
- Core patterns
- Complexity
- System design
- Interview drills
100 hrsAdvanced
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Why this stage
“Model code is still code. The engineers who pass AI interviews are the ones who can reason about it.”
3The Craft
Deep learning, RAG, agents, evals and the serving stack behind them — built and deployed, not just studied.
- Deep learning
- RAG
- Agents
- Evals
- Serving
170 hrsIntermediate
Explore course
Why this stage
“From NumPy to shipping your own agents — the whole stack, not a demo notebook.”
4The Deployment
DevOps (with AIOps & MLOps)
MLOps Engineer
The same delivery engine, pointed at models: containers, pipelines, monitoring and the MLOps practices that keep AI systems alive.
- Docker
- Kubernetes
- CI/CD
- MLOps
- Monitoring
150 hrsAdvanced
Explore course
Why this stage
“A model that isn't deployed is a paper. Learn to run AI in production.”
Destination
MLOps Engineer
Artificial Intelligence pathStop browsing.
Stop browsing.
Start walking.
The road is mapped and the first batch is live. Take the first step — or talk to us and find out which stage you're already standing on.
Your roadmap
10–14 months- 01
Python
The Language · 2–3 months
- 02
DSA
The Discipline · 2–3 months
- 03
AI Engineering
The Craft · 4–6 months
- 04
MLOps
The Deployment · 3–4 months
MLOps Engineer
where this road ends