#1 India's Top IT Training Institute

+91 9818366550 +91 8448807675 +91 8766313646

For Support : +91 8800023723

info@uncodemy.com

Trust Center · Curriculum DirectoryRead the curriculum before you enrol

Know what you're buying

Course Curricula
with nothing hidden.

Uncodemy publishes the complete module-by-module curriculum for every course it offers — topics, hours, tools, projects, learning outcomes, versions and review information.

Explore all courses →How curricula are reviewed

Last reviewed: 12-Oct-2026 · Final editorial check: Gangesh Gaur, Director, Uncodemy

CURRICULUM / 2026

VERSIONED
CONTENT

NAMED REVIEWER

FULL MODULE LIST

✓Module list

✓Hours per module

✓Depth level

✓Change log

What every curriculum shows

Turn a course name into something you can actually evaluate.

A curriculum is more useful when its scope, depth and freshness are visible before payment.

Version number

Which edition is currently taught, such as DA-2026.08.

Effective from

The date a curriculum version came into use.

Last reviewed

When the curriculum was checked for technical accuracy and currency.

Reviewed by

The named domain reviewer who verified the content.

Tools & projects

The software used and the work learners are expected to build.

Learning outcomes

What learners should be able to do after completing the program.

Depth level

Not every topic is taught to the same depth.

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.

Why version numbers matter

Technology training can go stale.

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.

Browse by domain

Find the curriculum that matches your goal.

All current curriculum entries

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 Analytics	6-7 months	100+	Verify	View curriculum →
Machine Learning	3-4 months	75+	Verify	View curriculum →
Artificial Intelligence	6-7 months	200+	Verify	View curriculum →
Full Stack Development	3-6 months	200+	Verify	View curriculum →
MERN Stack Development	4-6 months	100+	Verify	View curriculum →
Java	3-4 months	90+	Verify	View curriculum →
Python	3-4 months	200+	Verify	View curriculum →
Software Testing	3-6 months	120+	Verify	View curriculum →
Automation Testing	2-4 months	90+	Verify	View curriculum →
Playwright Automation	3-4 months	60+	Verify	View curriculum →
DevOps	3-6 months	150+	Verify	View curriculum →
Digital Marketing	3-6 months	70+	Verify	View curriculum →

Review system

Two responsibilities. Clear accountability.

Trainers deliver instruction. Domain reviewers verify the technical accuracy and currency of the curriculum.

Curriculum created

Topics, hours, tools, projects and outcomes are defined.

Domain review

A named reviewer checks technical accuracy and currency.

Version published

The edition receives a version number and effective date.

Changes logged

Material updates are recorded publicly in the change log.

FAQ

Questions students ask before enrolling.

Can I see the full syllabus before paying?

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.

How do I know a curriculum is current?

Each curriculum is intended to display a version number, effective-from date, last-reviewed date and the named domain reviewer.

Who checks technical accuracy?

Domain reviewers verify technical accuracy and currency, separate from the trainers delivering the course.

Does Uncodemy update its curricula?

Yes. Material changes are intended to be recorded in a published change log showing what was added, updated or removed in each version.

What does “awareness level” mean?

It means a topic is covered conceptually for orientation and vocabulary rather than hands-on practice to job-ready proficiency.

What is the difference between Data Analytics and Data Science?

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.

Before you enrol

Read the topics. Check the depth. Then decide.

A published curriculum should let a learner understand exactly what is being taught, how current it is, and who reviewed it.

Browse Courses →

⇧