EMRS CS Tier-2 (PGT/TGT)

(Mains)

Need help choosing this course?

Our counsellor will help with pricing, syllabus, and enrollment.

EMRS CS Tier-2 (PGT/TGT)
OverviewInstructors & Mentors

About EMRS CS Tier-2 (PGT/TGT)

Prepare for EMRS CS Tier-2 with expert-led classes, complete syllabus hotspots, PYQs practice, smart lesson sequencing by Knowledge GATE.

Compare EMRS CS Tier-2 (PGT/TGT) with all courses

EMRS CS Tier-2 (PGT/TGT) Preparation Course by Sanchit Sir is a structured and technology-driven programme designed for aspirants preparing for the EMRS Computer Science Tier-2 examination for PGT and TGT teaching posts. With the increasing competition for limited seats, this course is built to address key challenges such as vast syllabus coverage, limited preparation time, and high selection pressure. The programme focuses on enabling aspirants to prepare in a smart, prioritised, and exam-oriented manner. Delivered through an advanced AI-powered learning platform by Knowledge Gate, the course goes beyond traditional one-size-fits-all coaching. It offers structured learning paths, continuous performance tracking, and targeted insights to help students focus on high-impact areas and avoid unnecessary effort. Under the guidance of Sanchit Sir, the programme places strong emphasis on Computer Science fundamentals, problem-solving ability, and exam-specific strategy required to perform effectively in Tier-2. The preparation approach is data-driven, helping aspirants identify weak areas, reduce score leakages, and optimise their overall performance. Check out our features πŸ‘‡

KGAI Learning Platform Features

  • β€’ Goal Slider enables you to customise your course as per your Goal. Theory lessons and questions (number + difficulty level) will change based on the goal that you set.
  • β€’ Smart Lesson Sequencing provides a perfect balance between theory videos and problem solving in a step by step manner from easy to difficult level.
  • β€’ Syllabus Hotspots lets you know the probability of a questions being asked from a specific topic. If you have less time and syllabus seems to be huge you need to focus on hotspots.
  • β€’ Smart Test Series provides the exact pattern and level of the exam, which helps you to practice in real time. Overall score, Subject wise score and topic wise score helps to evaluate and enhance your performance.
  • β€’ KGAI Community provides you a community of serious aspirants for doubt discussion, keeping the environment competitive and alive.

This course is not available for direct purchase.

Course Curriculum

  1. Computer Systems and Organisation87 lessons

    • Basics of COA27 lessons
    • Cache Memory Organization4 lessons
    • Introduction to OS18 lessons
    • Digital Systems & Boolean Basics6 lessons
    • Logic Gates & Hardware14 lessons
    • Number System7 lessons
    • Number Representation11 lessons
  2. Computer Networks85 lessons

    • Introduction to CN34 lessons
    • Data Communication5 lessons
    • Net Layer: IP Addressing9 lessons
    • Application Layer27 lessons
    • Hardware basics10 lessons
  3. Database Management64 lessons

    • Basics of DBMS11 lessons
    • Relational Model & Functional Dependencies4 lessons
    • Keys & Integrity Constraints12 lessons
    • SQL37 lessons
  4. Introduction to Python266 lessons

    • Introduction to Python16 lessons
    • Tokens, Variables, Data Types, I/O20 lessons
    • Operators & Expressions20 lessons
    • Control Flow & Looping24 lessons
    • Collections & Strings61 lessons
    • Functions & Modules39 lessons
    • File Handling & Data Analysis86 lessons
  5. Emerging Trends22 lessons

    • Emerging Tech Trends22 lessons
  6. Artificial Intelligence17 lessons

    • Artificial Intelligence17 lessons
  7. Digital Society & Cyber Law19 lessons

    • Society, Law & Ethics19 lessons
  8. Application Software12 lessons

    • MS Office Applications12 lessons
  9. EMRS Tier 2 Live Classes Notes28 lessons

    • EMRS TGT/PGT Live Class20 lessons
    • Subjective Notes8 lessons
  10. Full Mock Test6 lessons

Instructors

Sanchit Jain