Professional certificate · Dedicated AI or machine learning program
Deep Learning Specialization
DeepLearning.AI · Online · provider based in United States
Currently offered, next intake unconfirmed · Hosted on Coursera
- Award
- Deep Learning Specialization
- Subject
- Deep learning, Machine learningSelf-paced, Flexible
- Format
- Fully online3 months at 10 hours a week
- Price
- Not published
Platform-hosted
About this program
Five-course online specialization on building and training neural networks, including CNNs, RNNs, LSTMs and Transformers, using Python and TensorFlow.
- School and department
- DeepLearning.AI
- Subject or specialization
- Deep learning, Machine learningRecorded only where the official program page names it as a focus, not for individual modules.
- Teaching language
- English
Qualification and recognition
- Qualification
- Professional certificate
- Exact award
- Deep Learning Specialization
- Credential type
- Completion certificateA certificate of completion issued by the provider or platform. It is not a degree and not by itself an academic qualification.
- Academic credit
- Credit status not stated
- Awarding institution
- Not stated on the pages we checked
- Delivery platform
- Coursera
- Access and price model
- Access terms not statedThe official page does not state the price model.
Structure and schedule
- Duration
- 3 months at 10 hours a week
- Delivery
- Fully onlineTaught entirely online. Check whether any in-person assessment is required before applying.
- Physical attendance
- Attendance requirement not verified
- Where students can enrol
- Not stated on the pages we checkedThe institution is based in United States; eligibility to enrol may differ.
- Live or recorded
- Live or asynchronous not confirmed
- Schedule
- Self-paced, FlexibleFlexible schedule, learn at your own pace
- Weekly commitment
- 10 hours a week
Admissions, prerequisites and intakes
- Programming
- Not stated
- Mathematics
- Not stated
- Prior degree
- Not stated
- Work experience
- Not stated
- International applicants
- Not confirmed
Fees
Original currency is authoritative. Each fee keeps its basis (per term, per year, per credit, whole program) and the academic year it applies to and is never converted or added up for you.
Tuition is not published on the pages we checked. That does not mean the program is free: ask the institution for current fees, equipment costs and any deposit or refund terms.
Sources and verification
Not published on the program’s source pages: price, prerequisites, dated intake or deadline.
Sources and how this was checked
Last checked 1 November 2026. Each fact carries a verbatim quote that is re-checked against the live page. Research methodology.
Sources (checked 1 November 2026)