What it is
A 13-course Professional Certificate on Coursera, produced by IBM's Skills Network Team, taking a learner from classical machine learning through deep learning to generative AI.
Syllabus
The 13 courses, as listed on the Coursera page, are: Machine Learning with Python; Introduction to Deep Learning & Neural Networks with Keras; Deep Learning with Keras and TensorFlow; Introduction to Neural Networks and PyTorch; Deep Learning with PyTorch; AI Capstone Project with Deep Learning; Generative AI and LLMs: Architecture and Data Preparation; Gen AI Foundational Models for NLP & Language Understanding; Generative AI Language Modeling with Transformers; Generative AI Engineering and Fine-Tuning Transformers; Generative AI Advanced Fine-Tuning for LLMs; Fundamentals of AI Agents Using RAG and LangChain; and a final project building generative AI applications with RAG and LangChain.
Format and prerequisites
Self-paced, stated by Coursera as taking less than 4 months at around 10 hours a week. The page states learners need "working knowledge of Python and Jupyter Notebooks" plus high-school-level maths, and IBM recommends first completing its Data Science or Applied AI Professional Certificates.
What you can do afterwards
Coursera's page states graduates can build and deploy deep learning models, implement ML algorithms, work with large language models including GPT and BERT, apply transfer learning, and construct AI agents using RAG and LangChain.
Price
The enrolment page does not show an explicit certificate price. It offers "Enroll for free" and a financial aid link; completing all 13 courses with graded assignments for the IBM digital badge runs through Coursera's subscription model.
