i-merit-prime

  • Home
  • i-merit-prime
Shape Image One

i-merit Nova Prime
Employability Enrichment Program

Excellent Icon

Professional Certificate Program

4,645 Rating

i-merit Nova Prime is a 12-week program that prepares learners for tech roles, covering .NET/C#, problem-solving, databases, AI, and soft skills, with hands-on projects and career readiness.

i-merit Nova Elevate Course Overview

i-merit Nova Prime is a 12-week program that teaches programming, problem-solving, and soft skills. It covers .NET/C#, SQL, AI, and career readiness, with hands-on projects, mock interviews, and personalized feedback to prepare students for tech roles.

Course Key Features

Role plays
Skill Assessment

Evaluate learners' baseline abilities in aptitude, logic, coding, and communication.

Peer feedback
Problem Solving Focus

Build structured thinking using flowcharts, algorithms, and logical methods.

Personal brand
.NET and C# Training

Gain hands-on experience with C#, OOPs, LINQ, and advanced .NET topics.

Workshop
Project-Based Learning

Apply concepts through guided mini-projects across modules.

Program Fee
70,800.00

EMI Facility Available on Checkout.

Program syllabus

Skills you'll gain

Problem Solving, Logical Reasoning, Quantitative Aptitude ,Programming in C#, Understanding of .NET Framework ,Object-Oriented Programming (OOP).

Program

12-WEEKS CURRICULUM AND SCHEDULE

Day 1 (4 Hours)

Topic: Assessment of Students for Skill Levels

1. Aptitude Level.
2. Logical Reasoning.
3. Programming Basics.
4. English Language Skills.

Day 2 (4 Hours)

Topic: Assessment Review, Soft Skills and Problem Solving

1. Provide personalized feedback and improvement plans.
2. Communication Fundamentals.
3. Key approaches to problem solving methods.
4. Feedback and Reflection.

Day 3 (4 Hours)

Topic: Logic Building and Soft Skills (Communication)

1. Introduction to logical thinking.
2. Developing logic using flowcharts and algorithms.
3. Workshop: Creating a detailed flowchart for a problem.
4. Soft Skills: Developing clarity in speech and listening skills.

Day 1

Topic: Aptitude - Quantitative Reasoning

1. Aptitude based techniques and thinking methods.
2. Numbers, ratios, percentages problems.
3. Programming Basics.
4. Problem-solving techniques.

Day 2

Topic: Logical Reasoning, Soft Skills - Group Communication

1. Pattern Recognition Methods.
2. Sequences and Logical deductions.
3. Soft Skills: Effective team interaction skills.

Day 3

Topic: Flowcharts & Algorithms, Soft Skills - Confidence Building

1. Creating flowcharts and converting them to algorithms.
2. Combining multiple steps of flowcharts and subroutines.
3. Soft Skills: Confidence Building in group settings.

Day 1

Topic: Introduction to .NET Framework, C# Basics

1. Overview of the .Net Environment.
2. Setting up IDE.
3. Basics of C# Programming Language.

Day 2

Topic: Control Structures in C#, Soft Skills - Presentation

1. Decision making and loop fundamentals.
2. Soft Skills: Structuring Information for clarity.
3. Group Reflection of the activities.

Day 3

Topic: Introductory Coding Exercises & Soft Skills - Active Listening

1. Coding exercise and simple problems on control structures.
2. Soft Skills: Techniques for improved focus and understanding.
3. Review and Feedback of the week.

Day 1

Topic: OOPS Principles, Class & Objects in C#

1. Principles of Object Oriented Programming.
2. Creating and using Objects in Applications.
3. Exercises and Problems.

Day 2

Topic: Inheritance & Polymorphism in Detail, Soft Skill - Interpersonal

1. Using Inheritance and method overriding.
2. Soft Skills: Building rapport in professional settings.
3. Exercises and Problems.

Day 3

Topic: Project Exercise, Soft Skills - Effective Feedback

1. Create a small application using OOP Principles.
2. Soft Skills: Giving and Receiving constructive feedback.
3. Reflection and Discussion.

Day 1

Topic: Error Handling in .NET, Intro to LINQ

1. Exception type and Error Handling.
2. Introduction to LINQ operations.
3. Exercises and Problems.

Day 2

Topic: Mini Project Planning, Negotiations Basics

1. Design a small project using LINQ & OOP.
2. Soft Skills: Negotiations in professional settings.
3. Feedback and problem discussions.

Day 3

Topic: Project Implementations

1. Begin coding the mini project with guidance.
2. Soft Skills: Strategies for managing interactions.
3. Feedback and problem discussions.

Day 1

Topic: Database Basics, SQL DQL & DML

1. Tables and creation of tables using DCL.
2. SELECT, INSERT, UPDATE & DELETE using DML.
3. View and Keys Management using concept of Index.

Day 2

Topic: SQL Practice, Team Collaboration

1. Practice exercises using SQL queries.
2. Soft Skills: Working effectively in teams.

Day 3

Topic: Database Mini-Project, Emotional Intelligence

1. Create and query a sample database.
2. Recognizing and managing emotions in the workplace.
3. Reflection and Peer Review.

Day 1

Topic: Advanced Algorithm Techniques

1. Sorting, Searching and Recursion basics.
2. Data Structures and their usage.
3. Problems and Exercises.

Day 2

Topic: Algorithm Practice, Leadership Basics

1. Implementing sorting and searching in Pseudocode.
2. Soft Skills: Leading projects and taking initiatives.
3. Practical: Simulated Deadline-driven Project.

Day 3

Topic: Flowchart Exercises, Time Management

1. Translating Flowcharts into algorithms.
2. Soft Skills: Prioritizing tasks effectively.
3. Exercises and Problems.

PROJECT SCOPING

1. PROJECT PLANNING STYLES.
2. DEFINE GOALS AND REQUIREMENTS.
3. PROJECT PROGRAMMING INITIATION.

PROJECT WORK CONTINUATION...

1. CONTINUE WITH CODING, INTEGRATING .NET AND DB COMPONENT.
2. SOFT SKILLS: CONFLICT RESOLUTION.

PROJECT WORK CONTINUATION...

1. IMPLEMENT PROJECT FEATURES, TROUBLESHOOT, AND DEBUG.
2. SOFT SKILLS: TIPS FOR PRESENTING PROJECTS EFFECTIVELY.

Topic: Introduction to AI

1. Basics and Evolution of AI.
2. Types of AI Models.
3. Applications of AI.

Topic: Introduction to LLMs, Soft Skills - Curiosity & Learning Mindset

1. Understanding LLMs.
2. Natural Language Processing basics.
3. Soft Skills: Cultivating a Growth Mindset.

Topic: AI/LLM Demonstration, Soft Skills - Networking Skills

1. Use tools to showcase LLM functionalities.
2. Soft Skills: Building and maintaining professional network.

(1)

Topic: Working with APIs in .NET

1. Understanding API Structure and ReST Protocol.
2. Designing API Signature.
3. Developing and using API using .NET.

(2)

Topic: API Integration

1. API applications and integration with Projects.
2. Practice of integration of API in your project.
3. Soft Skills: Techniques to improve analytical skills.

(3)

Topic: Project Testing and Refinement

1. Understanding Test Life Cycle.
2. Developing Test Cases and providing results.
3. Testing and troubleshooting the project.
4. Soft Skills: Professional Behavior and ethics.

Mock Technical Interviews

1. Practice technical Q&A on programming, databases and algorithms.

Mock HR Interviews

Soft Skills - Resume & Profile Building

1. Personality and Behavioral interview practice.
2. Crafting a professional resume and online profile.

Interview Simulation with Feedback

Topic: Soft Skills - Personal Branding

1. Peer and Instructor feedback on Interview responses.
2. Tips for presenting a consistent professional image.

Final Technical Assessment Project Presentation

1. Cover all technical aspects of the students' personality.
2. Highlight the key skills required for further improvement.
3. Practice for group discussions on current technical topics.

Program Feedback Soft Skills Review & Summary

1. Reflective session on Program Learning.
2. Student Project Presentations.
3. Group discussions on project presentation feedback. Peer and Instructor led feedback.

Final Report Discussion Closing Ceremony

1. Provide each student with Individual performance report.
2. Program completion and Feedback collection.

Benefits of the i-merit Nova Prime Employability
Enrichment Program

Nova Benefits
Certificate
Eligibility
Faculty Profile

Get certified to gain exciting career opportunities

Add the certification to your resume and open doors to new opportunities in the roles of:

  • Technical Pre-Sales Consultant
  • Business Analyst(IT/Operations)
  • Tech Consultants
  • Account Executive
  • Delivery Manager
Certificate

🎓 Eligibility & Selection Criteria

Student must have passed or is pursuing last semester of the Qualified Degree program that is being pursued.

Candidates who completed these programs within the past year are also eligible, provided they meet all other criteria.

Students who have passed these courses in less than One Year are also eligible to join the program within the criteria defined.

✅ Qualified Degree Programs:

  • B.Tech
  • B.E
  • M.C.A.
  • M.Sc (Computer Applications) or equivalent

All candidates must go through the defined selection process and meet the criteria to enroll in the program.

Note: A face-to-face interview may be required (not mandatory for all).

⭐ Course Review Summary

5.0
★★★★★
Average Rating
★★★★★ 63%
★★★★☆ 29%
★★★☆☆ 6%
★★☆☆☆ 1%
★☆☆☆☆ 1%
Senior Cloud & Full Stack Architect

Profile Summary: A cloud-native solutions expert with 9+ years in designing scalable enterprise systems on Microsoft stack. Specializes in Azure migrations, microservices architecture, and AI integration for financial and e-commerce domains. Passionate about DevOps-driven development and mentoring teams on cloud best practices. Combines deep technical expertise with business acumen to deliver high-performance applications.

Key Roles and Achievements:

  • Led Azure migration for Fortune 500 banking client.
  • Architected .NET microservices for high-traffic retail platform.
Power Platform & Automation Lead

Profile Summary: A low-code automation specialist with 7+ years in healthcare and manufacturing. Builds compliant, user-friendly Power Platform solutions (Power Apps, Automate) with embedded AI capabilities. Known for streamlining complex workflows and reducing manual effort by 60%+. Focuses on governance and scalability while bridging IT and business teams.

Key Roles and Achievements:

  • Deployed hospital patient management system using Power Apps + Azure SQL.
  • Automated OEM supply chain with Power Automate + RPA.
Data & AI Solutions Engineer

Profile Summary: A data-to-AI translator with 8+ years in telecom and retail. Designs predictive models (Azure ML), GenAI prototypes, and real-time analytics pipelines. Expertise in turning raw data into actionable insights with tools like Power BI, Databricks, and OpenAI. Strong advocate for ethical AI and MLOps practices.

Key Roles and Achievements:

  • Built telecom churn prediction model using Azure ML.
  • Implemented Power BI + Synapse for retail sales dashboards.
Full Stack Developer (Frontend + AI Integration)

Profile Summary: A UI-focused full-stack developer with 6+ years in EdTech/SaaS. Blends React/Blazor frontends with .NET APIs and AI services (OpenAI, Azure Cognitive Services). Specializes in building intuitive, AI-augmented web apps for education and productivity. Agile practitioner with a knack for rapid prototyping.

Key Roles and Achievements:

  • Developed AI tutor app with Blazor + OpenAI.
  • Scaled React/.NET LMS platform to 1M+ users.