Campus Placement Training

Course Syllabus

• Python Programming and Problem-Solving
  • Python programming fundamentals
  • Conditional statements, loops, and functions
  • String manipulation and pattern programming
  • List and array-based problem-solving
  • Number-based programming problems
  • Dictionary and set operations
  • Coding challenges commonly encountered in placement assessments
  • Common Python interview questions
• Object-Oriented Programming (OOP)
  • Classes, objects, and constructors
  • Encapsulation and abstraction
  • Inheritance and polymorphism
  • Static vs instance members, self/this, object references, and shallow vs deep copy
  • Abstract classes and Interface
  • Output prediction and debugging
  • OOP programming exercises
  • Common OOP interview questions
• MySQL and SQL Problem-Solving
  • SQL queries and data filtering
  • Aggregate functions and grouping
  • Joins and relationships between tables
  • Subqueries and nested queries
  • Interview-oriented SQL challenges
  • Output prediction
  • Common MySQL Interview Questions
• Backend Development with FastAPI
  • HTTP and REST API fundamentals
  • Building APIs using Python and FastAPI
  • Request handling and data validation
  • Database integration with SQLAlchemy
  • CRUD operations
  • API testing using Postman
  • Final Project
• AI Fundamentals and Generative AI
  • Introduction to Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), and Generative AI
  • Prompt engineering and effective prompting techniques
  • AI-assisted coding with AI tools (Copilot)
  • Integrating LLM API (Gemini API) with FastAPI
  • Introduction to RAG and AI Agents
  • Additional Gen AI tools (Eg: Claude)
  • AI interview questions and mini-project demonstration
  • Final Project with AI Integration
• Resume Preparation and Job Search Strategies
  • Creating ATS-friendly resumes
  • Optimizing resumes and optimizing LinkedIn profiles using AI tools
  • Job search strategies using LinkedIn, Naukri, Indeed, and company career pages
  • Applying for jobs and tracking applications
  • Writing professional emails and messages to recruiters
  • Preparing for Interviews
• Group Discussion (GD)
  • Group discussion formats and expectations
  • Expressing opinions clearly and confidently
  • Presenting arguments with relevant examples
  • Agreeing and disagreeing professionally
  • Listening and responding to other participants
  • Discussion practice and summarisation
• HR Interview Preparation
  • Self-introduction and professional communication
  • Resume-based interview questions
  • Explaining academic projects
  • Strengths, weaknesses, and career goals
  • Behavioural and situational questions
  • Handling common fresher interview questions
• Mock Interview Practice