Program profile · official sources
Deep Learning in Python
The Deep Learning in Python track by DataCamp is an eighteen-hour online, self-paced learning program designed for beginners who are already familiar with traditional machine learning. Accessible through a DataCamp Premium subscription starting at USD 35 per month, the curriculum teaches students how to build and train neural networks using the PyTorch framework. The track consists of five courses and one bonus project, covering topics such as image classification, time series prediction, natural language processing, and the Transformers architecture. Upon finishing the required materials, learners receive a Statement of Accomplishment that can be shared on professional profiles. This monthly subscription grants platform access rather than representing a fixed, guaranteed total cost to complete the program.
Commercial status: no commercial relationship is documented for this page. The verification link goes directly to the official provider source.
- Price
- DataCamp Premium — USD 35/month for course content, billed monthly at the regular price. (see provider page)
Premium for Individuals. English public pages with USD explicitly selected; visitor country not stated. Monthly regular access is USD 35 with no monthly promotion shown. Annual regular USD 330 and promotional USD 165 are separate billed totals; no promotion expiry or additional account/geographic restriction is stated. Access price is not a guarantee of track completion. · Official pricing - Duration
- 18 hours
- Level
- Beginner
- Format
- Online self-paced learning track
- Credential
- Statement of Accomplishment
- Prerequisites
- There are no prerequisites for this track
Sources ↗
Course and activity access
Career and Skill tracks: Not included / Included / Included (Basic / Premium / Teams).. Official source
What’s covered
- Introduction to Deep Learning with PyTorch
- Intermediate Deep Learning with PyTorch
- Building an E-Commerce Clothing Classifier Model
- Deep Learning for Images with PyTorch
- Deep Learning for Text with PyTorch
- Transformer Models with PyTorch
Prerequisites: There are no prerequisites for this track
How much does the Deep Learning in Python track cost?
Access to the Deep Learning in Python track requires a DataCamp Premium subscription, which is available at a regular price of USD 35 per month for individual learners. The provider lists eighteen hours of material; the amount paid depends on the subscription route and billing periods selected. The monthly fee provides continuous platform access rather than acting as a guaranteed, fixed total price to finish the five courses. The page lists the clothing-classifier activity separately as a bonus project.
What topics are covered in the curriculum?
The curriculum consists of five sequential courses that explore the PyTorch framework. Learners begin with Introduction to Deep Learning with PyTorch before taking Intermediate Deep Learning with PyTorch. Subsequent courses include Deep Learning for Images with PyTorch and Deep Learning for Text with PyTorch. Finally, students complete Transformer Models with PyTorch, which details the architecture underpinning large language models. Additionally, the program includes one bonus project, Building an E-Commerce Clothing Classifier Model, to let learners practice their skills.
Are there any prerequisites for this DataCamp track?
According to DataCamp, there are formally no prerequisites required to enroll in this self-paced track. However, the official curriculum narrative explicitly states that the program is an ideal starting point for individuals who are already familiar with traditional machine learning concepts. While the first course serves as an introduction to deep learning using the PyTorch framework, the provider also calls the track suitable for beginners in its FAQ. Read that description alongside its recommendation for familiarity with traditional machine learning, rather than treating it as an explicit admission requirement.
What credential do I earn when I complete the track?
Upon successfully completing the five required courses within the program, learners earn a Statement of Accomplishment issued by DataCamp. This digital credential records completion of the deep learning track and can be shared across social media networks, attached to a resume, or added directly to a professional LinkedIn profile. DataCamp does not state whether learners must pass a final comprehensive exam to earn this statement, nor does the platform specify any expiration dates or future renewal requirements for the credential.
What you actually do
- Introduction to Deep Learning with PyTorch — Course; provider-listed track item. · Source
- Intermediate Deep Learning with PyTorch — Course; provider-listed track item. · Source
- Building an E-Commerce Clothing Classifier Model — Bonus project · Source
- Deep Learning for Images with PyTorch — Course; provider-listed track item. · Source
- Deep Learning for Text with PyTorch — Course; provider-listed track item. · Source
- Transformer Models with PyTorch — Course; provider-listed track item. · Source
What the credential is
- Credential type
- Statement of Accomplishment · Source
- Credential
- Statement of Accomplishment · Source
- Issuer
- DataCamp · Source
- Sharing
- Add this credential to your LinkedIn profile, resume, or CV; share it on social media and in your performance review. · Source
- Exam required
- provider does not state · Source
- Credential expires
- provider does not state · Source
- Renewal
- provider does not state · Source
Who should skip it
- Learners starting from no machine-learning background should consider the narrative's recommendation for familiarity with traditional ML, even though the formal prerequisite section lists none. · Source
- Learners choosing primarily for a one-time purchase: the sourced access route is a Premium subscription, with billing periods to consider. · Source
Alternatives in the registry
Related by topic or level.
- Machine Learning Fundamentals in Python — DataCamp Premium — USD 35/month for course content, billed monthly at the regular price; 16 hours.
- AI Fundamentals — DataCamp Premium — USD 35/month for course content, billed monthly at the regular price; Approximately 9 hours.
- Developing Large Language Models — DataCamp Premium — USD 35/month for course content, billed monthly at the regular price; 19 hours.
Change log
- : Initial review of official program, curriculum, credential and subscription-access sources. · Source