IBM · Professional certificate
AI Engineering Professional Certificate
13 self-paced courses on Coursera. Deep architectures in Keras, PyTorch and TensorFlow. The longest commitment in this corpus.
Study path: domains
- Classical machine learning with Python
- Deep learning with Keras and TensorFlow
- Deep learning with PyTorch
- Generative AI architecture and data preparation
- Language modeling with transformers
- Fine-tuning and advanced fine-tuning for LLMs
- AI agents with RAG and LangChain
Access
Coursera enrolment. Audit free, certificate paid.
Verify current pricing, format, and eligibility on IBM's own page before you schedule anything. This site does not track exam changes.
Question cards
No question cards for this certification yet. The domains and resources above are the study path in the meantime; cards arrive certification by certification.
Concepts that feed this cert
Activation functionAttention mechanismBackpropagationBatch sizeBias and fairnessBias-variance tradeoffChain-of-thought promptingCI/CD for MLContext windowCross-validationEmbeddingFeature engineeringFew-shot promptingFull fine-tuningGradient descentGroundingHallucinationHybrid searchIn-context learningInference latencyInstruction tuningLoRAModel driftModel monitoringModel versioningNeural network layerOverfittingPrompt injectionPrompt templatesQuantizationChunkingRed teamingRerankingRetrieval-augmented generationRLHFSystem promptTemperatureTokenizationTransfer learningVector database
Resources
- AI Engineering Professional Certificate, official Coursera page
Every course audits free, which is the whole certificate's content minus the graded certificate itself. It is the only cert in this corpus that has you write PyTorch and Keras rather than reason about them.