TransEduverse Summer Skill Enhancement 2026: Anniversary Special Certification & Internship

Master the tools of tomorrow with TransEduverse’s 2026 Anniversary Special Skill Enhancement Program. This is more than just a course—it is a comprehensive 6-month industrial ecosystem designed to take you from foundational concepts to real-world product deployment. Each track features 100 hours of intensive live training (40–50 days) followed by a 2–3 month long service development project.

Available Specialization Tracks:

• Python Data Science & ML: Master predictive insights, NumPy, Pandas, and Scikit-Learn.

• Data Tech & Power BI: Bridge Python flexibility with advanced Power BI dashboarding and DAX.

• Full-Stack Web Development: Build scalable apps using Django, React, and AWS deployment.

• AI & Prompt Engineering: Harness LLMs (GPT, Claude), LangChain, and Generative Media tools.

• Software Testing: Master the balance of Manual rigor and Automation precision (Selenium/PyTest).

• UI/UX Designing: Create user-centric digital experiences using Figma and Design Thinking.

Program Highlights:

• Industrial Internship: Transition from learner to builder with a 3-month product development phase.

• Dual Certification: Receive a 6-month Industrial Skill Enhancement & Internship certificate from TransEduverse LLP.

• Flexible Schedule: 2–2.5 hours daily; final timings optimized for mentor and mentee availability.

• Start Date: April 20, 2026.

Anniversary Pricing (Limited Offer):

• One-time Payment: ₹35,000 (Flat discount from ₹59,999)

• Installment Mode: ₹40,000 (Payable over 3 months)

Note: The Anniversary Special Rate is exclusive to the first 100 mentees who complete their fee payment starting April 08, 2026.

Ready to start?
Contact us at +91 7511 13 3382

Detailed syllabus

Python Data Science & Machine Learning
Turning raw data into industrial predictive insights.

• Module 1: Python for Data Science
• Module 2: Scientific Computing with NumPy & Pandas – Array operations, DataFrames, series, handling missing data, and merging datasets.
• Module 3: Exploratory Data Analysis (EDA) – Statistical analysis, data cleaning, and visualization using Matplotlib and Seaborn.
• Module 4: Database Management & SQL
• Module 5.1: Supervised Machine Learning – Linear & Logistic Regression, Decision Trees, Random Forests, and Support Vector Machines (SVM).
• Module 5.2: Unsupervised Learning & Model Evaluation – K-Means Clustering, PCA (Dimensionality Reduction), and Cross-Validation techniques.

Python Data Visualization & Power BI
Bridging the gap between Python’s flexibility and Power BI’s dashboarding power

• Module 1.1: Python Basics for Analysts – Fundamental syntax, loops, and conditional logic tailored for automating data tasks.
• Module 1.2: Advanced Python Visualization – Deep dive into Matplotlib, Seaborn and Plotly or Bokeh for creating interactive, web-ready charts.
• Module 2: Database Management & SQL
• Module 3: Power BI Fundamentals & Data Connectivity – Getting started with Power BI Desktop, connecting to SQL/Excel, and the Power Query Editor.
• Module 4.1: DAX (Data Analysis Expressions) – Creating calculated columns and measures, time-intelligence functions, and data modeling.
• Module 4.2: Integrating Python in Power BI – Using Python scripts to import data and creating custom Python visuals within Power BI reports.
• Module 5: Tableau – Visualising in Cloud and Desktop

Python Full-Stack Web Development
Building scalable, end-to-end web applications

• Module 1: Backend Foundations with Python – Logic building, OOP (Object-Oriented Programming) in Python, and handling file I/O.
• Module 2: Web Frameworks (Django/Flask) – Routing, Views, Templates, and the MVT (Model-View-Template) architecture.
• Module 3: Database Management & ORM – SQL basics, PostgreSQL integration, and using Django ORM for database migrations.
• Module 4: Frontend Essentials (React/HTML/CSS) – Building responsive UIs with HTML5, CSS3, JavaScript (ES6), and React.js components.
• Module 5: REST APIs & Deployment – Building APIs using Django REST Framework (DRF), JWT authentication, and deploying to AWS/Heroku.

AI & Prompt Engineering
Mastering LLMs and automating workflows with generative tools

• Module 1: Fundamentals of Generative AI – Understanding LLMs (GPT, Claude, Gemini), tokens, and how neural networks process language.
• Module 2: Advanced Prompting Techniques – Zero-shot, few-shot, Chain-of-Thought (CoT) prompting, and iterative refinement.
• Module 3: AI for Productivity & Coding – Leveraging GitHub Copilot and ChatGPT for code generation, debugging, and documentation.
• Module 4: Image & Media Generation – Masterclass in Midjourney, DALL-E, and Stable Diffusion using advanced parameter controls.
• Module 5: AI Agents & Automation – Introduction to LangChain, AutoGPT, and building custom GPTs for specific business workflows.

Software Testing
Ensuring quality through manual rigor and automated precision

• Module 1: Manual Testing Fundamentals – SDLC/STLC models, test case design, bug life cycles, and Black-Box vs. White-Box testing.
• Module 2: Java/Python for Automation – Programming basics specifically for writing test scripts and interacting with web elements.
• Module 3: Selenium WebDriver – Locators (XPath, CSS), handling alerts/frames, and synchronizing tests (Implicit/Explicit waits).
• Module 4: Test Frameworks & Integration – Working with TestNG/PyTest, Data-Driven testing, and Page Object Model (POM).
• Module 5: API & Mobile Testing – Testing RESTful services with Postman/RestAssured and an intro to Appium for mobile automation.

UI/UX Designing
Creating user-centric digital experiences that look and feel seamless

• Module 1: Design Thinking & Research – User personas, empathy mapping, user journeys, and conducting competitive audits.
• Module 2: Information Architecture & Wireframing – Creating site maps, low-fidelity sketching, and digital wireframing in Figma.
• Module 3: Visual Design Principles – Color theory, typography, grid systems, and accessibility (WCAG) standards.
• Module 4: High-Fidelity Prototyping – Interactive components, transitions, and micro-interactions using Figma/Adobe XD.
• Module 5: Usability Testing & Handoff – A/B testing, gathering user feedback, and preparing assets for developer handoff.