Roadmaps
Podcast-backed learning paths for roles, transitions, and project sequences.
AI Engineering Roadmap
A podcast-backed roadmap for learning AI engineering through software foundations, LLM applications, RAG, evaluation, agents, LLMOps, and production ownership.
Analytics Engineering Roadmap
How DataTalks.Club guests describe analytics engineering: SQL modeling, dbt-style workflows, metric ownership, stakeholder trust, and the move from dashboards to governed analytical products.
Data Analyst to Analytics Engineer Roadmap
A podcast-backed roadmap for analysts moving into analytics engineering through SQL modeling, dbt-style workflows, metric ownership, tests, documentation, and portfolio evidence.
Data Analyst to Data Engineer Roadmap
A practical roadmap for data analysts moving into data engineering: transferable analyst strengths, missing backend and cloud skills, portfolio projects, and interview positioning.
Data Engineer Roadmap: From Fundamentals to Job-Ready Projects
A practical data engineer roadmap from SQL and Python fundamentals to pipelines, orchestration, DataOps, portfolio projects, and interviews.
Data Product Manager Roadmap
A podcast-backed roadmap for data product managers, from discovery and metrics to roadmaps, data quality, adoption, and experimentation.
Data Scientist Interview Roadmap
A podcast-backed roadmap for data scientist interview preparation: role targeting, CV evidence, recruiter screens, technical rounds, case studies, behavioral stories, and offer readiness.
Data Scientist to Data Engineer Roadmap
A DataTalks.Club podcast-backed roadmap for data scientists moving into data engineering: role shift, transferable skills, missing engineering habits, portfolio projects, and interview positioning.
How to Become a Data Engineer With No Experience
A practical transition guide for becoming a data engineer without prior data engineering experience: first skills, projects, portfolio proof, timelines, interviews, and adjacent-role paths.
LLM and RAG Production Roadmap
A roadmap for building LLM and RAG systems from bounded workflows to retrieval, evaluation, agents, security, cost, and monitoring.
Lean MLOps for Startups
A startup-stage roadmap for lean MLOps: SaaS-first choices, portable foundations, manual controls, versioning, evaluation, monitoring, and the point where shared infrastructure starts to pay off.
MLOps Roadmap
A podcast-backed roadmap for MLOps: reproducible experiments, deployment paths, model registries, monitoring, platform adoption, and role milestones.
Machine Learning Engineer Roadmap
A roadmap for becoming a machine learning engineer, from problem framing and baselines to production ML systems, monitoring, and MLOps.
Open Source Contributor Roadmap
A roadmap for becoming an open-source contributor through issues, docs, tests, demos, maintainer collaboration, and portfolio evidence.