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Applied AI Learning

Featured·AI Engineering AI Engineer Roadmap 2026: From Python Basics to Production Deployment A practical AI engineer roadmap for 2026: the skills to learn, in order, from Python and APIs to RAG, agents, evaluation and shipping to real users. Featured·Comparisons Forward Deployed Engineer vs ML Engineer vs Applied AI Engineer: Which Path Fits You? Three AI engineering roles, three different jobs. Compare scope, skills, daily work and career direction to choose the one that fits. Featured·Forward Deployed Engineering The FDE Iteration Cycle: Discovery, Prototype, Validate, Ship, Iterate The five-stage loop forward deployed engineers use to take an AI idea from a customer's problem to a production system that delivers measurable value.

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Career roadmaps

Step-by-step paths into forward deployed engineering and adjacent AI roles, with the skills, tools and projects for each stage.

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Flagship roadmap

Forward Deployed Engineer Roadmap 2026

  1. 01Programming foundationsPython, SQL, Git and the command line
  2. 02APIs and integrationsREST, auth, webhooks and data pipelines
  3. 03LLMs and retrievalPrompting, embeddings, RAG and evaluation
  4. 04Agents and toolingTool use, orchestration and guardrails
  5. 05Cloud and deploymentDocker, CI/CD, monitoring on AWS, GCP or Azure
  6. 06Working with customersScoping, demos, documentation and handover
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AI Engineer Roadmap

Build production applications on top of foundation models.

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Machine Learning Roadmap

Math, classical ML, deep learning and MLOps.

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Data Science Roadmap

Statistics, analysis, modelling and communicating results.

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Data Analytics Roadmap

SQL, spreadsheets, BI tools and business reporting.

Interview questions

Question banks with worked answers, grouped by role and round.

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FDE Interview Questions60 questions→
System Design for FDEsComing soon
Customer Scenario QuestionsComing soon
AI & LLM Interview QuestionsComing soon
RAG Interview QuestionsComing soon
Agentic AI Interview QuestionsComing soon