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Campus Recruitment Training (CRT)

Campus Recruitment Training (CRT) Offered by Kalpra Academy

Kalpra Academy’s Campus Recruitment Training (CRT) program is designed to prepare final-year BTech, BSc, and BCom students for top-tier placement opportunities through a structured blend of aptitude preparation, technical skills, communication mastery, and interview strategy. This comprehensive program bridges the gap between academic learning and industry expectations, ensuring students are confident and job-ready for campus placement drives.

  • Number Systems, Ratios, Percentages, Averages, Profit & Loss
  • Time, Speed, Distance; Time & Work; Permutations and Combinations
  • Data Interpretation (DI) using graphs, tables, and charts
  • Puzzles, Seating Arrangements, Blood Relations, Coding-Decoding
  • Syllogisms, Clocks & Calendars, Direction Sense, Non-verbal Reasoning
  • Analytical Thinking and Pattern Recognition
  • Reading Comprehension, Grammar, Sentence Correction, Synonyms & Antonyms
  • Email Writing, Resume Drafting, Business Communication
  • Group Discussions (GD) and Personal Interviews (PI) practice
  • C, C++, Java, Python – Programming Fundamentals (for BTech students)
  • Excel, Tally, Financial Accounting (for BCom students)
  • SQL, Basic DBMS, Computer Fundamentals (for BSc/BCom students)
  • Hands-on Projects and Real-world Case Problems
  • Data Structures and Algorithms (DSA)
  • Online Coding Practice: LeetCode, HackerRank, CodeChef
  • Coding Rounds and Mock Hackathons
  • Customizing resumes for tech, finance, analytics, and consulting roles
  • LinkedIn optimization and online portfolio creation
  • Career mapping, mock interviews, HR round strategies
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Each CRT batch includes diagnostic tests, weekly assessments, company-specific mocks, and soft skills bootcamps. The training is available both online and offline, with flexible weekend options. Kalpra Academy also partners with colleges to deliver customized CRT workshops tailored to upcoming placement season schedules.

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Frequently Asked Question

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In general programming, we have the data and the logic by using these two we create the answers. But in machine learning, we have the data and the answers and we let the machine learn the logic from them so, that the same logic can be used to answer the questions which will be faced in the future. Also, there are times when writing logic in codes is not possible so, at those times machine learning becomes a saviour and learns the logic itself

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