Ramya G

Elevate your coding journey with practical, interactive programming lessons. Build real-world applications with confidence

4.7(116)

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Ramya G

Masters degree

/ 55 min

About your coding tutor - Ramya

Hi! I'm Ramya, a Software Developer and Programming Instructor with 3+ years of experience in software development and technical training. I help students, graduates, and working professionals build strong programming skills through practical, project-based learning. My goal is to make coding simple, interactive, and industry-oriented so learners can confidently develop real-world applications. I teach Java, Python, JDBC, Hibernate, Spring Framework, Flask, HTML5, CSS3, JavaScript, Bootstrap, React.js, SQL, MySQL, PostgreSQL, SQL Server, Pandas, NumPy, Artificial Intelligence, and Machine Learning. My training combines strong programming fundamentals with modern software development practices, making it suitable for both beginners and advanced learners. My classes focus on hands-on coding, frontend and backend development, database integration, REST APIs, object-oriented programming, debugging, and real-time application development. Students work on live projects, coding exercises, assignments, and interview-oriented programs to gain practical experience and build a strong portfolio. Along with technical training, I provide guidance for college assignments, mini and major projects, interview preparation, resume building, and career mentoring. Whether you want to become a Software Engineer, Java Developer, Python Developer, Full Stack Developer, Data Analyst, or AI & Machine Learning Engineer, I'll help you develop the practical skills and confidence needed to achieve your career goals.

Ramya graduated from Anna University

Ramya graduated from Anna University
Ramya graduated from Anna University

Coding tutor specialities

Code Optimization icon

Code Optimization

Code Review icon

Code Review

Competitive Programming icon

Competitive Programming

Job readiness icon

Job readiness

Paired coding icon

Paired coding

Exam prep icon

Exam prep

Homework help icon

Homework help

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AI modules

Summary

Podcast

Quiz

Learnings

Flashcard

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Zero Risk Guaranteed

15-days refund

Free tutor swap

No cancel fee

1-yr validity

24/7 support

Learner types for coding classes

Coding for intermediate icon

Coding for intermediate

Coding for adults icon

Coding for adults

Coding for advanced icon

Coding for advanced

Coding for beginners icon

Coding for beginners

Coding for kids icon

Coding for kids

Coding class highlights

My teaching approach focuses on making programming simple, clear, and easy to understand for learners of all levels. I use real-time coding, relatable examples, and step-by-step explanations to help students grasp Python and core programming concepts without confusion. Every lesson is designed to build a strong foundation, ensuring students understand not just what to do, but why it works. I create an interactive and supportive learning environment where students feel comfortable asking questions, practicing code, and learning at their own pace. My sessions include logic-building exercises, problem-solving activities, and live demonstrations that boost confidence and strengthen analytical thinking. I focus on making each class engaging, friendly, and highly practical. To help students apply concepts in real life, I incorporate hands-on tasks, coding challenges, and beginner-friendly projects. Whether preparing for exams, improving skills, or starting from scratch, I guide each student with patience and clarity. My goal is to ensure every learner develops strong coding skills, gains confidence, and makes steady progress in their programming journey.

Ramya - Coding tutor also teaches

C

C

C++

C++

Coding for kids

Coding for kids

CSS

CSS

DOS

DOS

HTML

HTML

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Coding concepts taught by Ramya

Student learned 1 day ago

The tutor and student worked on refining a database conceptual model, specifically focusing on entity relationships and cardinality, using ChatGPT as a tool. They practiced prompting the AI to extract specific data and discussed correcting relationship logic based on instructor feedback and data availability. The student was advised to review provided video resources for further understanding.

Prompt Engineering for AI Data Extraction

AI Output Verification and Rubric Alignment

Database Cardinality and Relationships

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Student learned 2 days ago

The tutor and student reviewed feedback on a database design assignment, focusing on accurate entity naming and relationship cardinality. They discussed the process of converting a conceptual design to a logical design, emphasizing normalization and the correct use of AI tools for database generation. The next steps involve applying these concepts to Unit 2.

Using AI for Database Design

Cardinality in Relationships

Logical Design and Normalization

Entity Naming Conventions

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Student learned 6 days ago

The Tutor and Student compared the effectiveness of ChatGPT and Gemini in performing conceptual database design for a movie dataset. They focused on identifying entities, relationships, and cardinality, and then practiced documenting the findings in a report, including taking screenshots of AI outputs.

Entity Relationship Modeling

Conceptual vs. Visual Database Design

Comparing Generative AI Tools for Data Analysis

Entity Identification in Database Design

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Student learned 7 days ago

The Student and Tutor worked on database design, specifically creating an entity-relationship model for a movie website. They practiced identifying entities, defining relationships between them using AI tools, and documenting the design process. The next session will involve further prompt work and documentation.

Entities and Relationships in Databases

Database Normalization

Entity-Relationship Diagrams (ERDs)

Using AI for Data Organization and ERD Generation

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Student learned 12 days ago

The Student and Tutor commenced a new database course, focusing on the first assignment which involves designing a conceptual database model for a movie dataset using generative AI applications like ChatGPT. They practiced formulating effective prompts to extract database entities, attributes, and relationships from the AI. A follow-up session was scheduled to continue with the AI-generated design and create the required diagrams.

Conceptual Database Design for Movie Data

Leveraging Generative AI (Gen AI) for Database Schema

Entity-Relationship Diagram (ERD) Fundamentals

Data Normalization for Database Efficiency

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Student learned about 1 month ago

The session focused on the Student's independent work on the sixth assignment, which involved adding a combo box for state selection. The Tutor provided supervision and readiness to assist with the technical implementation while the Student progressed on the task. The Student planned to continue working on the assignment and submit the finished database.

Integrating UI Components: Combo Box

Navigating Self-Paced Learning and Documentation

Strategic Engagement with Instructor Support

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Approach & tools used by coding tutor

Jupyter Notebook image

Jupyter Notebook

Google Colab image

Google Colab

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PyCharm

Bitbucket image

Bitbucket

Postman image

Postman

Hands-on coding classes

Weekend lessons icon

Weekend lessons

Parent feedback icon

Parent feedback

Mobile joining icon

Mobile joining

Open Q&A icon

Open Q&A

Record lessons icon

Record lessons

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