CHOOSE THE
RIGHT PATH
TO LEARN AI.
6 career paths. Step-by-step roadmaps, real projects, curated resources, skill requirements and honest time estimates — all in one place.
6 paths 95 tasks Progress saved locally
The six career paths
See full roadmaps →Where you are right now
Tick tasks as you go. Everything is stored in this browser — no account needed.
WHICH AI PATH IS RIGHT FOR YOU?
Three questions. One starting point. Answer honestly — the wrong path wastes months.
Six career paths, six real jobs
Each one is different. Some are easier, some are harder. Pick the one that fits you.
Skill matrix
How important is the same skill in each path? 0 = not needed, 5 = core to this path.
Paths are not permanent. Moving from AI/ML Engineer to MLOps or Agent Dev is a very natural step — the skills overlap, only the priority changes.
Best resources
Each path already has its own resources in its roadmap. These are the foundational ones that everyone needs.
Must-watch: understand the core
Agar sirf 2 cheezein dekh sakte ho, ye do.
3Blue1Brown — Neural Networks FREE 3Blue1Brown — But what is a GPT? FREE Karpathy — Zero to Hero FREEStructured courses
Free, high-quality, project-based.
HuggingFace — LLM Course FREE DeepLearning.AI — Short Courses FREE fast.ai — Practical Deep Learning FREE Kaggle Learn FREEBuild real things
Do not just read — build. Your portfolio is built here.
n8n — Automation FREE MCP — AI tool standard FREE Ollama — Local LLMs FREE vLLM — LLM serving FREEProduction craft
These differences matter for getting a job.
Full Stack Deep Learning FREE Anthropic — Effective Agents FREE Ragas — RAG evals FREE Langfuse — Observability FREE