Program profile · official sources
Speech Recognition with Python
365 Data Science's 'Speech Recognition with Python' is an intermediate-level, online, self-paced course taught by Ivan Manov. The provider lists three lesson hours; the curriculum explores voice-activated systems, audio processing, and machine learning methods. Learners use the librosa library to prepare sound data and implement speech-to-text tools using models like OpenAI's Whisper and Google's Web Speech API. Topics include analog-to-digital conversion, acoustics fundamentals, feature extraction, background noise management, and deep learning methods such as CNNs, RNNs, and Transformers. Earning the provider-issued course certificate requires course completion and passing the course exam, with general terms specifying a 60 percent or higher passing grade. The provider lists 7 CPE credits; acceptance depends on individual state boards. Prerequisites include basic Python programming and specific libraries; prior audio processing experience is not required.
Facts checked 30 Sep 2026
- Price
- See pricing
Price observation recorded 30 Sep 2026 (not a current price): As shown in the United States on 30 September 2026, the 365 pricing page Self-study card displays $36/month reference price and a promotional $12.50/month equivalent billed annually; the same pricing page FAQ separately states $29/month full access. USD is explicit in the saved pricing page state. These are platform access quotes, not a course-completion total. Certificates are included with Self-study.
- Time
- 3 hours (provider headline; module and exam timings listed separately)
- Level
- Intermediate
- Credential
- Provider-issued course certificate
Verifiable credential with Credential ID and Credential Link; sharable on LinkedIn/resumes; downloadable upon passing. Certificates are included with the Self-study learning plan.
- Format
- 100% online, self-paced course
- Prerequisites
- Python (version 3.8 or later), SpeechRecognition and PyAudio libraries, and a code editor or IDE (e.g., Jupyter Notebook, Spyder, or VS Code). Basic understanding of Python programming is required. No prior experience with audio processing or speech recognition is necessary. Advanced preparation: Introduction to Python, Machine Learning in Python.
Commercial status: no commercial relationship is documented for this page. The verification link goes directly to the official provider source.
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No accepted numeric price in this registry. See the sourced pricing details below.
See the full registry price landscape. Prices retain their stated payment scope; they are not comparable completion costs.
What’s covered
- Course Introduction
- Sound and Speech Basics
- Analog to Digital Conversion
- Audio Feature Extraction for AI Applications
- Speech Recognition Mechanics
- Setting Up the Environment
- Transcribing Audio with Google Web Speech API
- Background Noise and Spectrograms
- Transcribing Audio with OpenAI's Whisper
- Final Discussion and Future Directions
- Course exam
Prerequisites: Python (version 3.8 or later), SpeechRecognition and PyAudio libraries, and a code editor or IDE (e.g., Jupyter Notebook, Spyder, or VS Code). Basic understanding of Python programming is required. No prior experience with audio processing or speech recognition is necessary. Advanced preparation: Introduction to Python, Machine Learning in Python.
What you actually do
- Course Introduction : 16 min; Section 1 · Source
- Sound and Speech Basics : 12 min; Section 2 · Source
- Analog to Digital Conversion : 10 min; Section 3 · Source
- Audio Feature Extraction for AI Applications : 22 min; Section 4 · Source
- Speech Recognition Mechanics : 39 min; Section 5 · Source
- Setting Up the Environment : 17 min; Section 6 · Source
- Transcribing Audio with Google Web Speech API : 33 min; Section 7 · Source
- Background Noise and Spectrograms : 20 min; Section 8 · Source
- Transcribing Audio with OpenAI's Whisper : 24 min; Section 9 · Source
- Final Discussion and Future Directions : 12 min; Section 10 · Source
- Course exam : 60 min; Section 11 · Source
What the credential is
- Credential type
- Provider-issued course certificate · 365datascience.com / speech-recognition-with-python
- Credential
- Course Certificate · 365datascience.com / certificates
- Issuer
- 365 Data Science · 365datascience.com / certificates
- Sharing
- Verifiable credential with Credential ID and Credential Link; sharable on LinkedIn/resumes; downloadable upon passing. Certificates are included with the Self-study learning plan. · 365datascience.com / certificates
- Exam requirement
- Complete the course and pass its course exam with 60% or above under the general certificate terms. Certificates are included with the Self-study learning plan. · 365datascience.com / certificates
Who should skip it
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Change log
- : Initial recorded review of official program details. · Source