Program profile · official sources
IBM Generative AI Engineering Professional Certificate
IBM Generative AI Engineering Professional Certificate is a beginner-level, online series of 16 courses offered by IBM on Coursera. The overview estimates six months at six hours per week, with self-paced study. Basic computer literacy is the stated background requirement. The curriculum moves from AI concepts and Python through data analysis, machine learning, deep learning, transformer models, fine-tuning, and applications using RAG and LangChain. Hands-on work includes Python applications, model training, and a guided generative AI application project. Completion provides a shareable IBM certificate. Consider it if you want a multi-course introduction to technical generative AI development; it is not for someone seeking only a short, non-coding overview of AI tools.
Commercial status: no commercial relationship is documented for this page. The verification link goes directly to the official provider source.
- Price
- Coursera Plus Monthly — USD 59 / month regularUSD 35.40 / month promotional; eligibility and duration below.
Region, access and offer terms
USD promotional terms; not available to residents of India. Outside the US, local currency and pricing are shown at checkout.
USD 35.40 / month: 3 consecutive months; claim deadline 2026-09-23T23:59:00Z; New Coursera Plus subscribers only; one per person; cannot combine with other offers; not available to residents of India. Automatically renews monthly at USD 59 plus applicable taxes unless canceled. Not used in the regular-price estimate.
Lowest exact verified upfront plan route only for programs whose own page independently shows Included with Coursera Plus; not a global-cheapest claim and not a guaranteed completion period. The IBM Generative AI Engineering program page independently displays Included with Coursera Plus.
- Duration
- Estimated 6 months at 6 hours a weekself-paced
- Level
- Beginner
- Format
- Online, self-paced 16-course series
- Credential
- Professional Certificate
- Prerequisites
- Basic computer literacy
Sources ↗
- Duration — https://www.coursera.org/professional-certificates/ibm-generative-ai-engineering
- Official program page — https://www.coursera.org/professional-certificates/ibm-generative-ai-engineering
- Provider subscription terms — https://www.coursera.org/courseraplus/special/cplus-monthly-august-2026-global
What’s covered
- Generative Model Architectures
- Retrieval-Augmented Generation
- LLM Application
- Fine-tuning
- Model Evaluation
- Supervised Learning
- Responsible AI
- Large Language Modeling
Prerequisites: Basic computer literacy
Is IBM's Generative AI Engineering Professional Certificate suitable for beginners?
The program is labeled beginner level, and its FAQ specifies basic computer literacy as the necessary background. The 16-course curriculum covers Python, data analysis, machine learning, deep learning, transformers, and generative AI applications. IBM recommends taking the courses in their presented order because they build on earlier material. It is a plausible starting point if you are willing to learn programming; it is not a non-coding route through generative AI.
How long does IBM's Generative AI Engineering Professional Certificate take?
The overview estimates six months at six hours per week for the 16-course series. The FAQ describes completion in just under six months with five to six hours of weekly study, and confirms that the program is self-paced. Use roughly six months as a planning estimate, not a fixed deadline or promised result. The recommended course order matters because later modules build on earlier knowledge, so assess whether you can sustain the weekly commitment before enrolling.
What practical work is included in IBM's Generative AI Engineering program?
The program includes hands-on labs and projects involving Python applications, Flask deployment, language model training, transformer tasks, fine-tuning, and RAG and LangChain. Its guided project involves building AI agents and applications using RAG and LangChain. Those assignments make it relevant if you want to study implementation through structured exercises. Choose it for that technical practice rather than only for a survey of consumer AI tools.
What certificate does IBM's Generative AI Engineering program provide?
Completion provides a shareable certificate from IBM through a 16-course Professional Certificate program on Coursera. The page says it can be added to a professional profile, resume, or CV. It also describes possible college credit, but acceptance is decided by the receiving institution. Choose the program primarily for its curriculum and project work; if academic credit is central to your decision, confirm acceptance with your institution before committing time or money.
What you actually do
- Introduction to Artificial Intelligence (AI) — 13 hours; Provider-listed component course 1 of the Professional Certificate, not a standalone exam domain. · Source
- Generative AI: Introduction and Applications — 8 hours; Provider-listed component course 2 of the Professional Certificate, not a standalone exam domain. · Source
- Generative AI: Prompt Engineering Basics — 10 hours; Provider-listed component course 3 of the Professional Certificate, not a standalone exam domain. · Source
- Python for Data Science, AI & Development — 24 hours; Provider-listed component course 4 of the Professional Certificate, not a standalone exam domain. · Source
- Developing AI Applications with Python and Flask — 12 hours; Provider-listed component course 5 of the Professional Certificate, not a standalone exam domain. · Source
- Building Generative AI-Powered Applications with Python — 15 hours; Provider-listed component course 6 of the Professional Certificate, not a standalone exam domain. · Source
- Data Analysis with Python — 16 hours; Provider-listed component course 7 of the Professional Certificate, not a standalone exam domain. · Source
- Machine Learning with Python — 20 hours; Provider-listed component course 8 of the Professional Certificate, not a standalone exam domain. · Source
- Introduction to Deep Learning & Neural Networks with Keras — 10 hours; Provider-listed component course 9 of the Professional Certificate, not a standalone exam domain. · Source
- Generative AI and LLMs: Architecture and Data Preparation — 6 hours; Provider-listed component course 10 of the Professional Certificate, not a standalone exam domain. · Source
- Gen AI Foundational Models for NLP & Language Understanding — 10 hours; Provider-listed component course 11 of the Professional Certificate, not a standalone exam domain. · Source
- Generative AI Language Modeling with Transformers — 9 hours; Provider-listed component course 12 of the Professional Certificate, not a standalone exam domain. · Source
- Generative AI Engineering and Fine-Tuning Transformers — 8 hours; Provider-listed component course 13 of the Professional Certificate, not a standalone exam domain. · Source
- Generative AI Advanced Fine-Tuning for LLMs — 9 hours; Provider-listed component course 14 of the Professional Certificate, not a standalone exam domain. · Source
- Fundamentals of AI Agents Using RAG and LangChain — 9 hours; Provider-listed component course 15 of the Professional Certificate, not a standalone exam domain. · Source
- Project: Generative AI Applications with RAG and LangChain — 9 hours; Provider-listed component course 16 of the Professional Certificate, not a standalone exam domain. · Source
What the credential is
Total cost — access scenario
Conditional regular-price access cost: USD 59 × 1 = USD 59 for 1 × month.
One billing period of access; not a completion guarantee.
USD promotional terms; not available to residents of India. Outside the US, local currency and pricing are shown at checkout. Lowest exact verified upfront plan route only for programs whose own page independently shows Included with Coursera Plus; not a global-cheapest claim and not a guaranteed completion period. Official source
This is the stated access-payment scenario, not the total price of completing the program. Completion time does not determine purchased periods. No taxes, currency conversion or future renewals are assumed.
USD 35.40 / month: 3 consecutive months; claim deadline 2026-09-23T23:59:00Z; New Coursera Plus subscribers only; one per person; cannot combine with other offers; not available to residents of India. Automatically renews monthly at USD 59 plus applicable taxes unless canceled. Not used in the regular-price estimate.
Alternatives in the registry
Related by topic or level.
- AWS Certified AI Practitioner (AIF-C01) — USD 100 (One initial exam attempt; check applicable regional pricing and taxes. Optional preparation and retakes are not included.); 90 minutes (exam only; not preparation time).
- AI Fundamentals — Check official price; Approximately 9 hours.
- AI for Everyone — AI For Everyone certificate-eligibility access — $49 (ISO currency not stated) / 180-day certificate-eligibility access term regular; Locale: provider does not state.; 6h54m in the course overview; Coursera enrollment FAQ estimates 4 weeks at 2–3 hours per week.