UnchaAi Placement-First Program

Today, many job seekers find themselves stuck despite having degrees, certificates, and months or even years of preparation. The real challenge is not a lack of effort, but a lack of direction and industry readiness. Most students know concepts but struggle to apply them in real situations, especially during interviews, live coding rounds, or practical tasks. They often feel confused about what skills actually matter, how to build a strong resume, or how to gain confidence after multiple rejections. Our Placement Program is built to solve exactly this problem. We focus on making candidates truly job-ready through practical learning, real-world projects, interview-focused preparation, and continuous mentorship. Instead of just teaching, we guide learners step by step—helping them strengthen fundamentals, think like industry professionals, present themselves confidently, and prepare for real hiring scenarios. The goal is simple: to bridge the gap between learning and employment and support candidates until they are ready to secure the right opportunity.

UnchaAiModule 1: Programming Foundations & Core Constructs

Before progressing to advanced system design or architectural concepts, it is essential to build a strong command over fundamental programming concept. This module is designed to reinforce the core principles of programming that form the backbone of problem-solving and efficient code development.

Through structured practice and concept clarity, learners will revisit essential constructs such as control flow, functions, arrays, and complexity analysis. The focus is on developing clean, optimized, and logically sound code—skills that are critical for any aspiring or experienced software engineer.

Topics Covered

  • Fundamentals of Programming Concepts
  • Input/Output Handling and Data Types
  • Operators and Expressions
  • Conditional Logic and Decision Making
  • Iterative Constructs (Loops)
  • Pattern-Based Problem Solving
  • Functions and Modular Programming
  • One-Dimensional Arrays
  • Number Systems and Mathematical Concepts
  • String Handling and Implementation
  • Introduction to Data Structures
  • Basics of Time and Space Complexity Analysis

UnchaAiModule 2: Problem Solving with Data Structures & Algorithms

Strong problem-solving skills are a defining trait of a senior software engineer. This module focuses on developing a structured and analytical approach to solving problems using Data Structures and Algorithms (DSA), moving well beyond basic syntax and implementation.

Learners will gain hands-on experience with commonly tested data structures and algorithmic paradigms used in real-world engineering scenarios and technical interviews. Emphasis is placed on breaking down complex problems, selecting optimal strategies, and implementing solutions that achieve the right balance between efficiency, scalability, and code clarity.

Topics Covered

  • Analysis of Time Complexity
  • Arrays and Problem Patterns
  • String Processing Techniques
  • Binary Search and Search Optimization
  • Two-Pointer Techniques
  • Recursion and Backtracking Fundamentals
  • Hashing and Hash-Based Structures
  • Sorting Algorithms and Applications
  • Bit Manipulation Concepts
  • Stack-Based Problems
  • Queue and Deque Implementations
  • Linked Lists (Singly, Doubly, and Variants)
  • Trees and Tree Traversals
  • Trie Data Structure and Applications
  • Heap and Priority Queues
  • Greedy Algorithms
  • Dynamic Programming Techniques
  • Graph Theory and Graph Algorithms

UnchaAiModule 3: Structured Query Language (SQL) for Data Analysis

Data forms the foundation of modern software systems and data-driven decision-making. This module is designed to equip learners with the skills required to write efficient, reliable, and optimized SQL queries for real-world applications.

Participants will gain practical experience in querying, analyzing, and transforming data using SQL constructs commonly used in backend systems, analytics workflows, and production debugging scenarios. The module emphasizes clarity, performance, and correctness while working with relational databases.

Topics Covered

  • Introduction to SQL and Advanced SELECT Statements
  • Joins and Relationship-Based Queries
  • Data Sorting, Filtering, and Grouping
  • Aggregate Functions and Analytical Queries
  • Common Table Expressions (CTEs)
  • Subqueries and Nested Queries
  • Advanced String Functions, Regular Expressions, and Clauses
  • Window Functions and Analytical Operations
  • Recursive CTEs and Hierarchical Data Handling

UnchaAiModule 4: System Design – Low-Level Design (LLD) & High-Level Design (HLD)

System design expertise is a critical requirement for senior engineering and technical leadership roles. This module provides comprehensive coverage of both Low-Level Design (LLD) and High-Level Design (HLD), enabling learners to design scalable, maintainable, and high-performing software systems.

The curriculum progresses from object-oriented principles and design patterns to large-scale distributed architectures. Learners will work through real-world system design scenarios, focusing on reliability, scalability, performance, and trade-offs. By the end of this module, participants will be equipped to approach system design challenges with the mindset of a tech lead or senior architect.

Topics Covered

Low-Level Design (LLD)

  • Object-Oriented Programming (OOP) Principles
  • Software Design Patterns and Best Practices (23 DESIGN PATTERN + REAL LIFE EXAMPLE WITH CODE)
  • UML Diagrams and Design Documentation
  • Database Schema Design
  • Design Problem Decomposition
  • Machine Coding and Implementation-Oriented Design

High-Level Design (HLD)

  • Fundamentals of Distributed Systems
  • Load Balancing Strategies
  • Consistent Hashing Techniques
  • Caching Mechanisms and Optimization
  • Transactions and Data Consistency
  • SQL vs NoSQL Databases: Trade-offs and Use Cases
  • Designing Real-World Scalable Systems
  • Microservices Architecture
  • Distributed Queues and Messaging Systems

UnchaAiModule 5: Full-Stack Engineering Specialization

Modern senior engineers are expected to possess a holistic understanding of the software development lifecycle, spanning frontend, backend, testing, and deployment. This module provides practical, hands-on exposure to full-stack development, enabling learners to design, build, test, and deploy production-ready applications.

Participants will work with widely adopted backend and frontend technologies, follow industry-standard development workflows, and apply best practices in version control, testing, and deployment. The module emphasizes real-world implementation and interview readiness, preparing learners to independently own and deliver end-to-end full-stack projects.

Topics Covered

Backend Development

  • Unit Testing and Test-Driven Development Basics
  • Object-Relational Mapping (ORM) Concepts
  • Application Deployment Strategies
  • Version Control Using Git
  • Backend Development with Spring Boot
  • Project-Based and Interview-Focused Questions (Spring / Hibernate)

Full-Stack Development

  • Git-Based Collaboration and Workflow
  • Frontend Development with React
  • State Management Using Redux
  • Application Deployment and Environment Management
  • Testing Strategies for Full-Stack Applications
  • NoSQL Databases with MongoDB
  • Backend Development Using Node.js and Express.js
  • Full-Stack Interview Preparation and Case Discussions

Note: The focus of this module is on full-stack engineering. If you plan to introduce AI or Generative AI capabilities, this can be structured as a separate advanced specialization module.

UnchaAiModule 6: Product Management & Engineering Leadership

As engineers progress into senior and leadership roles, their impact extends beyond writing code to driving product outcomes, influencing stakeholders, and leading teams. This module is designed to help engineers develop a product-oriented mindset and leadership capabilities essential for high-impact roles.

Learners will explore how engineering decisions align with business objectives, customer needs, and long-term product strategy. The module focuses on ownership, collaboration, execution, and communication—key competencies required to function effectively as a senior engineer, tech lead, or engineering manager.

Topics Covered

  • Fundamentals of Product Management
  • Product Thinking, Discovery, and Roadmapping
  • Product Analytics and Data-Driven Decision Making
    • Tools such as Mixpanel and real-world case studies
  • Delivery Management and Execution Planning
  • Strategic Leadership and Change Management
  • Effective Communication and Cross-Functional Collaboration
  • Innovation, Creativity, and Productivity Techniques
  • Applying Product Management Principles in Engineering Roles

UnchaAiModule 7: Generative AI for Senior Software Engineers

Artificial Intelligence is fundamentally transforming how modern software systems are designed, built, and scaled. This module is tailored specifically for senior software engineers who want to incorporate AI-driven capabilities into production-grade applications and lead AI initiatives within their organizations.

Learners will gain a strong conceptual and practical foundation in Artificial Intelligence, Machine Learning, and Generative AI. The module covers Large Language Models (LLMs), transformer-based architectures, retrieval-augmented generation (RAG), AI agents, and evaluation strategies. Emphasis is placed on designing reliable, scalable, and maintainable AI-powered systems suitable for real-world deployment.

Topics Covered

  • Foundations of Artificial Intelligence and Machine Learning
  • Introduction to Deep Learning Concepts
  • Generative AI and Large Language Models (LLMs)
  • Transformer Architecture and Attention Mechanisms
  • Embeddings and Retrieval-Augmented Generation (RAG)
  • LLM Evaluation, Monitoring, and Quality Metrics
  • AI Agents and Autonomous Workflows
  • Designing and Building Production-Ready AI Applications

FREE ADD-ONs/ ADDITIONAL SERVICES

To ensure every learner is fully prepared for real-world placements—not just academically but professionally—we offer a comprehensive set of free value-added services along with our placement program.

1. Career & Mentorship Support

  • Personalized Career Counselling
    One-on-one guidance to help students identify career paths, strengths, and placement goals.
  • Free 1-on-1 Mentorship
    Continuous mentoring by industry professionals throughout the program.

2. Profile & Resume Enhancement

  • Professional Resume Building
    ATS-friendly resumes tailored to tech and corporate hiring standards.
  • LinkedIn Profile Optimization
    End-to-end optimization to improve visibility and recruiter reach.
  • Project Add-On to Resume (1-on-1 Project Building)
    Hands-on, mentor-guided projects to strengthen resumes with real-world experience.

3. Internship & Exposure

  • Internship Certificate
    Recognized certification to validate practical learning and industry exposure.
  • Referral for Top Performers
    High-performing students receive referrals to hiring partners and companies.

4. Interview & Hiring Readiness

  • Interview Preparation
    Structured preparation covering technical, HR, and behavioral interviews.
  • Mock Interview Sessions
    Real-time mock interviews with detailed feedback for improvement.
  • Company-Specific Interview Preparation
    Targeted preparation based on company patterns, roles, and expectations.

5. Skills Beyond Academics

  • Soft Skills Training
    Communication, confidence building, teamwork, and professional etiquette.
  • Salary Negotiation & Offer Evaluation
    Guidance on understanding CTC structures, negotiating offers, and making informed decisions.
  • Guesstimation Practice
    Real-world estimation problems commonly asked in product, consulting, and analytics roles.
  • Case Study Preparation
    Industry-relevant case studies to build structured thinking and problem-solving skills.