Skip to content
+1 thing you know about AI

AI Upskilling Program

Get Seriously Good With AI.

Learn how AI systems work & how to build what wasn’t possible before.

PythonPandasRAGScikit-learnXGBoostPyTorchTensorFlowTransformersRetrievalSparkPower BIAgentsPythonPandasRAGScikit-learnXGBoostPyTorchTensorFlowTransformersRetrievalSparkPower BIAgents

The syllabus

Three tracks you can learn

Start with the core foundations. Then you choose whether you want to train the models, build with them or ship with users & the last two weeks bring them all back together.

Shared Core

Weeks 1–7 · everyone

ML Engineering

Train the models

AI Engineering

Build with models

Forward Deployed

Ship with users

Advanced systems · capstone

All three tracks reconnect

Try Our Free Course

AI Glossary

All you need to know in AI

Every field nests inside the one before it. Click any of the 89 terms to open its explainer, each has its own page with a plain-language definition.

Artificial IntelligenceMachine LearningNeural NetworksDeep LearningGenerative AIReinforcementLearningSpeechRecognitionEmergentBehaviorAugmentedProgrammingAI EthicsExpert SystemsComputerVisionSymbolic AIAutomatedReasoningConstraintSatisfactionNatural LanguageProcessingRoboticsKnowledgeGraphsMulti-AgentSystemsEvolutionaryComputationSwarmIntelligenceSupervisedLearningUnsupervisedLearningK-MeansK-NearestNeighboursLogisticRegressionLinearRegressionPCAHypothesisTestingDecision TreesSupport VectorMachinesActiveLearningAnomalyDetectionNaive BayesRandom ForestsGradientBoostingXGBoostLightGBMCatBoostDBSCANHierarchicalClusteringt-SNEUMAPGaussianProcessesRecommendationSystemsPerceptronBackpropagationFeed ForwardHopfieldNetworkBoltzmannMachineSelf OrganisingMapsDeep BeliefNetworkLiquid StateMachinesWeights andBiasesActivationFunctionsGradientDescentAdamResidualConnectionsCNNRNNLSTMTransformersAuto EncodersDeep RLEpochsAttentionSelf-AttentionGated RecurrentUnitResNetU-NetVisionTransformersModel PruningQuantisationMixture ofExpertsLLMGPTBERTGANsRLHFQLoRAAgentsTransferLearningFoundationalModelN-Shot

Real World Projects

Six months to build an
AI system.

Don’t just learn AI, ship systems that work. Every stage of the program ends with something you can demonstrate, explain and add to your portfolio.

github.com/aifolks/retail-intelligence-dashboard
Margin by region, refreshed nightly
PythonPandasPostgreSQLPower BI

The community

Six thousand learners, 56 countries

Drag the globe. Every marker is a learner that has upskilled through our program.

Stories

The people who finished

Six thousand learners, and these are the outcomes we hear about most: a first ML role, a promotion into a data team, or a career changed after a decade in something else.

Click a bubble to burst it · Click another to move on

JOIN NOW

Begin the first module

Become AI native, it is the real deal today, and if it is not for you, you have lost nothing but learnt a new skill.

Writing

Got time to read?

If you are an avid reader, this section is for you. Else scroll along.

Drag. Scroll. Arrows.

All posts →
01 / 24