Data Science and Generative AI Curriculum
Strengths
Project-Based Learning
The curriculum features numerous end-to-end projects, including RAG chatbots and model deployment to AWS EC2, which help build a practical portfolio.

Master Data Science and AI: Learn Python, EDA, Stats, SQL, Machine Learning, NLP, Deep Learning and Gen AI
InstructorDr. Satyajit PattnaikComidoc has tracked 17 coupons for this course since 2025, last checked 27d ago. On average, a new coupon appears roughly every 21 days.
| Coupon code | Discount | Added | Status | Lifetime |
|---|---|---|---|---|
| 111E32C3C276137399E8 | 100% off | Expired | 4d 9h | |
| AA4B5054E55A6F8A70E4 | 100% off | Expired | ~11 daysRan full term | |
| AC597C4F785A4140F970 | 100% off | Expired | ~18 daysRan full term | |
| 5A586AFB647F704E375B | 100% off | Expired | ~4 daysRan full term | |
| F20FF12FAC471264CE40 | 100% off | Expired | ~9 daysRan full term | |
| 9D1D07FCDD9DDC9D688C | 100% off | Expired | ~25 daysRan full term |








The curriculum features numerous end-to-end projects, including RAG chatbots and model deployment to AWS EC2, which help build a practical portfolio.
Editorial course preview
These 2 complementary views highlight concrete, legible examples from the course presentation.
A top-down perspective shows a developer working with a laptop and smartphone, both displaying green terminal text against a dark background to demonstrate programming concepts.
Two individuals collaborate at a workstation, reviewing lines of programming code on a monitor alongside complex data visualization graphics.
Instruction covers advanced topics such as Transformer models, LLMOps, and Agentic AI workflows using LangGraph.
Some signals report confusion regarding local environment setups (Anaconda vs. Google Colab) and a lack of depth in specific technical explanations. This signal predates the displayed course update; the update may have addressed it, but the update label does not prove that it was corrected.
The transition between topics can feel overwhelming, with some signals suggesting the pace is too fast for those without a technical background. This signal predates the displayed course update; the update may have addressed it, but the update label does not prove that it was corrected.
The course targets beginners and professionals, but conflicting signals regarding pacing suggest it may be difficult for some absolute novices. Note that several signals regarding these issues were recorded before the displayed update date; the update may have addressed them, but the update label does not prove a correction.