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Career roadmaps

Step-by-step paths into AI engineering roles

Each roadmap breaks a role into stages with the skills to learn, tools to use and a project to build before moving on. Free to read, no sign-up.

Flagship

Forward Deployed Engineer Roadmap

From programming foundations to running AI deployments with customers.

Stages 6 Time 9–12 months Start Beginner
  1. 01Programming foundations
  2. 02APIs and integrations
  3. 03LLMs and retrieval
  4. 04Agents and tooling
  5. 05Cloud and deployment
  6. 06Working with customers
Coming soon

AI Engineer Roadmap

Build production applications on top of foundation models.

Stages 6 Time 8–10 months Start Some coding
  1. 01Python and software basics
  2. 02Model APIs and prompting
  3. 03Embeddings and RAG
  4. 04Evaluation and testing
  5. 05Agents
  6. 06Shipping AI products
Coming soon

Machine Learning Roadmap

Math, classical ML, deep learning and MLOps.

Stages 7 Time 10–14 months Start Beginner
  1. 01Python and math
  2. 02Data handling
  3. 03Classical ML
  4. 04Deep learning
  5. 05Specialisation
  6. 06MLOps
  7. 07Portfolio
Coming soon

Data Science Roadmap

Statistics, analysis, modelling and communicating results.

Stages 6 Time 8–12 months Start Beginner
  1. 01Python and SQL
  2. 02Statistics
  3. 03Exploratory analysis
  4. 04Modelling
  5. 05Communication
  6. 06Portfolio
Coming soon

Data Analytics Roadmap

SQL, spreadsheets, BI tools and business reporting.

Stages 5 Time 5–7 months Start Beginner
  1. 01Spreadsheets
  2. 02SQL
  3. 03Visualisation and BI
  4. 04Business metrics
  5. 05Portfolio