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Become an AI developer

The catalogue prepares you for the AI developer role with a path of 12 courses (61 lessons, 184 exercises, about 28 hours), from “Programming Basics and Algorithms” to “Self-Hosting AI Models Locally”. 5 catalogue courses list this job among their outcomes.

  1. Programming Basics and Algorithms
  2. Python Fundamentals
  3. Intermediate Python (Functions, Modules, OOP)
  4. Git and GitHub
  5. Using Generative AI at Work
  6. HTTP and REST APIs
  7. Integrating an LLM into an Application
  8. RAG in Production
  9. AI Agents and Automation
  10. Evaluating and Monitoring an AI System
  11. Docker and Deployment
  12. Self-Hosting AI Models Locally
Build my pathSee the 12 courses in order

The steps of the path

  1. Foundations

  2. Python

  3. Foundations

  4. Generative AI

  5. Back-end

  6. Generative AI

  7. Back-end

  8. Generative AI

Skills practised

Foundations15

VariablesBasic typesif / elif / else conditionsfor and while loopsListsFunctionsAlgorithmicsCommitStaging areaHistory (log, diff)BranchesMergeConflictsRemote repository

1 more skills

Pull request

Python27

VariablesBasic typesf-stringsConditionsBooleans and logical operatorsListsfor and while loopsList comprehensionsDictionariesTuplesSetsFunctionstry/except exceptionsAdvanced parameters

13 more skills

Type annotationsLambda functionsHigher-order functionsGeneratorsModules and importsStandard libraryVirtual environments and pipClasses and instancesMethodsSpecial methodsInheritanceDataclassesCustom exceptions

Generative AI56

Language model (LLM)Model limitationsWriting promptsVerifying answersData confidentialityGDPR and AIAssisted writingDocument summarizationCalling a model APIMessages and rolesGeneration parametersStructured outputsSchema validationTool calls (function calling)

42 more skills

Tool securityResponse streamingToken costRate limits and retriesCall loggingAI gatewayIndexing pipelineStructural chunkingChunk metadataEmbeddingspgvectorApproximate index (HNSW, IVFFlat)BM25 lexical searchHybrid searchReciprocal rank fusion (RRF)RerankingRecall@k and precision@kCitation checkingIncremental indexingAccess rightsAgentsOutilsMemoirePlanificationGardefousValidation humaineOrchestrationRepriseEvaluationJeu de testModele jugeLatenceCoutsDeriveSupervisionAgregationOllamaVllmQuantificationVramSecurity of generated codeBash scripts

Back-end20

HTTP request and responseURL structureHTTP methodsStatus codesREST principlesPaginationData validationStructured errors (Problem Details)HTTP cache and ETagCORSRoutingContainersImagesDockerfile

6 more skills

Multi-stage buildImage securityDocker ComposeImage registryCI/CDReverse proxy and HTTPS

Courses that mention this job

Frequently asked questions

How long does the AI developer path take?

The base path is about 28 hours of lessons and exercises, across 12 courses and 61 lessons. You go at your own pace, lesson by lesson.

Do I need any prior knowledge to start?

No. The path starts with “Programming Basics and Algorithms”, a course with no prerequisites.

Which domains does the path cover?

In order: Foundations, Python, Generative AI, Back-end. The last course is “Self-Hosting AI Models Locally”.

Does the path lead to a certification?

Not at this stage. The platform does not issue certifications yet, and claims no RNCP registration, no Qualiopi certification and no CPF eligibility.

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Say what you want to be able to do, we build your path

Your path is assembled from the catalogue courses. With the Pro plan (opening after the beta), every lesson is told with examples from your job.

The preview is free, and you can take the courses one at a time without paying. The path only contains lessons from the catalogue.