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Version number
Which edition is currently taught, such as DA-2026.08.
Uncodemy publishes the complete module-by-module curriculum for every course it offers — topics, hours, tools, projects, learning outcomes, versions and review information.
A curriculum is more useful when its scope, depth and freshness are visible before payment.
Which edition is currently taught, such as DA-2026.08.
The date a curriculum version came into use.
When the curriculum was checked for technical accuracy and currency.
The named domain reviewer who verified the content.
The software used and the work learners are expected to build.
What learners should be able to do after completing the program.
In depth means hands-on practice, exercises, assignments and assessment, with an expectation of workplace use. Awareness level means conceptual orientation and vocabulary — not job-ready proficiency in that specific tool.
Version numbers and review dates make the age of a curriculum visible. You can see when the content was last reviewed before you pay, instead of relying on an undated syllabus.
Known durations and hours are shown from the supplied curriculum data; unconfirmed fields stay explicitly marked for verification.
| Course | Duration | Hours | Status | Curriculum |
|---|---|---|---|---|
| Data Analytics with Generative AI | 6–7 months | 120+ | Live | View curriculum → |
| Data Science with Generative AI | 7–8 months | 150+ | Live | View curriculum → |
| Business Analyst | Confirm | Confirm | Verify | View curriculum → |
| Data Analytics using Python | Confirm | Confirm | Verify | View curriculum → |
| Machine Learning | Confirm | Confirm | Verify | View curriculum → |
| Artificial Intelligence | Confirm | Confirm | Verify | View curriculum → |
| Full Stack Development | Confirm | Confirm | Verify | View curriculum → |
| MERN Stack Development | Confirm | Confirm | Verify | View curriculum → |
| Java | Confirm | Confirm | Verify | View curriculum → |
| Python | Confirm | Confirm | Verify | View curriculum → |
| Software Testing | Confirm | Confirm | Verify | View curriculum → |
| Automation Testing | Confirm | Confirm | Verify | View curriculum → |
| Playwright Automation | Confirm | Confirm | Verify | View curriculum → |
| DevOps | Confirm | Confirm | Verify | View curriculum → |
| Cloud Computing | Confirm | Confirm | Verify | View curriculum → |
| Digital Marketing | Confirm | Confirm | Verify | View curriculum → |
Trainers deliver instruction. Domain reviewers verify the technical accuracy and currency of the curriculum.
Topics, hours, tools, projects and outcomes are defined.
A named reviewer checks technical accuracy and currency.
The edition receives a version number and effective date.
Material updates are recorded publicly in the change log.
Yes. The supplied content states that the complete module-by-module curriculum is published on the website and can be read in full and downloaded as a PDF before enrolment.
Each curriculum is intended to display a version number, effective-from date, last-reviewed date and the named domain reviewer.
Domain reviewers verify technical accuracy and currency, separate from the trainers delivering the course.
Yes. Material changes are intended to be recorded in a published change log showing what was added, updated or removed in each version.
It means a topic is covered conceptually for orientation and vocabulary rather than hands-on practice to job-ready proficiency.
The supplied content says both share foundations such as Python, SQL, Excel, statistics, Power BI and Tableau. Data Analytics is listed at 120+ hours over 6–7 months, while Data Science is 150+ hours over 7–8 months and goes further into machine learning, deep learning and natural language processing.
A published curriculum should let a learner understand exactly what is being taught, how current it is, and who reviewed it.