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TCS NPT Artificial Intelligence Courses and Mock Tests

Crack TCS NPT Exams with Online Courses and Mock Tests in TCS iON format

  • Complete coverage of TCS NPT Artificial Intelligence Syllabus
  • 20+ Video Sessions for TCS NPT
  • Mock Tests Based on Exam Pattern
  • Exact TCS iON Exam Interface
TCS NPT Artificial Intelligence Course

Crack your upcoming TCS NPT Artificial Intelligence Exam with Skillvertex

₹3299 (Incl. Taxes)
Use code LAUNCH to get 30% Off.

TCS NPT Artificial Intelligence Exam Pattern

Part A - Test of Knowledge + Part B - Test of application

Questions: 54 | Total Marks: 100 | Duration: 120 mins

Part A - Test of Knowledge

Questions: 50 | Marks per Question: 1 | Marks: 50 | Duration: 60 mins

Part B - Test of Application

Questions: 4 | Marks: 50 | Duration: 60 mins

Course Video List

1.1 Understanding AI - Terminologies of AI, Architecture, Applications of AI

1.2 Neural Networks - Neural Network Architecture and types

2.1 Search Algorithms

2.2 Implementation of Algorithms

3.1 Reasoning: Propositional Logic & Practical Application

3.2 Reasoning: First Order Logic

3.3 Reasoning: Hypothesis

3.5 Reasoning: Uncertainty

3.4 Reasoning: Data Analysis

4.1 Supervised learning: linear regression, logistic regression, decision trees

4.2 Unsupervised learning: k-means clustering, PCA

5.1 Concepts of Deep Learning

5.2 Practical Implementation of Deep Learning

5.3 AI and ML Solutions with Python, Natural Language Processing

6. Time Series

7.1 TensorFlow Concepts

7.2 TensorFlow for implementing

7.3 Accessing the element in TensorFlow

7.4 CNN, Regression and Clustering methods

7. 5Applications of TensorFlow in ML/DL Algorithms

Curriculum

Crack TCS NPT exams with Online Courses and Mock Tests in TCS iON format

15+
Total Hours of Session
100
Total Marks
5
Mock Tests
7
Number Of Modules

Introduction to AI

Search

Reasoning

Machine Learning (ML)

Deep Learning

Time Series

Tensor Flow

Program Fee Details

TCS NPT Artificial Intelligence Course

Crack your upcoming TCS NPT Artificial Intelligence Exam with Skillvertex

₹3299 (Incl. Taxes)
Use code LAUNCH to get 30% Off.
TCS NPT Artificial Intelligence Mock Test

Crack your upcoming TCS NPT Artificial Intelligence Exam with SkillVertex

₹1649 (Incl. Taxes)
Use code LAUNCH to get 30% Off.

TCS NPT Artificial Intelligence Course 

The TCS NPT Artificial Intelligence (AI) course is a comprehensive learning program designed to build foundational knowledge and practical expertise in the field of AI. It aims to equip learners with the skills necessary to understand and apply AI concepts effectively. This course is divided into two sections: Test of Knowledge and Test of Application, ensuring a balanced approach to theoretical learning and practical implementation.

What You Will Learn with the TCS NPT Artificial Intelligence Course?

This course offers an in-depth understanding of key aspects of Artificial Intelligence, including its fundamentals, applications, and advanced concepts. It is structured to help participants develop both a theoretical understanding and real-world problem-solving skills. The syllabus covers core topics such as Neural Networks, Machine Learning (ML), Deep Learning, Reasoning, Search Algorithms, Time Series Analysis, and TensorFlow. By the end of the course, learners will have a solid foundation in AI concepts and their practical applications.

TCS NPT Artificial Intelligence - Overview

Artificial Intelligence is driving innovation across industries by enabling systems to replicate human intelligence. The TCS NPT Artificial Intelligence course provides a thorough introduction to the field, covering essential areas such as:

  1. Introduction to Artificial Intelligence (AI)

    • Importance: AI is transforming how industries operate by automating complex tasks and providing intelligent solutions.
    • Learning Focus: Basic concepts of AI, including terminology, architecture, and applications.
    • Skills Covered: Understanding Neural Networks, their architecture, and types.
  2. Search Algorithms

    • Importance: Search algorithms form the backbone of AI, enabling efficient problem-solving.
    • Learning Focus: Search techniques, such as Constraint Satisfaction Problems, Intelligent Agents, and Heuristic Search.
    • Skills Covered: State Space Search, Adversarial Problem Solving, and Directed Search.
  3. Reasoning

    • Importance: Logical reasoning allows AI systems to make decisions and draw conclusions.
    • Learning Focus: Logical reasoning, proposition and first-order logic, and handling uncertainty using probabilistic methods.
    • Skills Covered: Deduction, Semantic Networks, Belief Networks, and Data Analytics.
  4. Machine Learning (ML)

    • Importance: ML enables systems to learn and improve from data without explicit programming.
    • Learning Focus: Fundamentals of supervised and unsupervised learning, and advanced algorithms.
    • Skills Covered: Linear regression, K-means clustering, SVM, and ensemble classifiers.
  5. Deep Learning

    • Importance: Deep Learning drives advancements in AI by enabling neural networks to perform complex tasks.
    • Learning Focus: Training and optimizing neural networks using techniques like backpropagation, regularization, and dropout.
    • Skills Covered: Convolutional Neural Networks (CNNs) and Natural Language Processing (NLP).
  6. Time Series Analysis

    • Importance: Analyzing sequential data is crucial for forecasting and decision-making.
    • Learning Focus: Time Series modeling, ARIMA, and signal transformations.
    • Skills Covered: Stationary and smoothing techniques, autocorrelation functions, and data representation.
  7. TensorFlow

    • Importance: TensorFlow is a key framework for implementing AI and ML solutions.
    • Learning Focus: Basics of TensorFlow, and its application in ML/DL tasks like clustering and regression.
    • Skills Covered: Building CNNs and implementing AI algorithms using TensorFlow.

TCS NPT Artificial Intelligence Exam Pattern

The TCS iON NPT Artificial Intelligence Test is divided into two parts:

  • Part A: Test of Knowledge
  • Part B: Test of Application

Part A: Test of Knowledge

  • Total Questions: 50
  • Marks per Question: 1
  • Total Marks: 50
  • Duration: 60 minutes

TCS NPT AI Exam Syllabus for Part A

Sr. No. Module Topics Subtopics Weightage
1 Introduction to AI Basics of AI Terminologies, Architecture, Applications 100%
2 Search Algorithms Search Techniques Heuristic Search, Adversarial Problems 100%
3 Reasoning Logical Reasoning Probabilistic Reasoning, Belief Networks 100%
4 Machine Learning Supervised/Unsupervised Learning Regression, SVM, K-means, Ensemble Models 100%
5 Deep Learning Neural Networks CNNs, Backpropagation, NLP 100%

Part B: Test of Application

  • Total Questions (Case Studies): 6
  • Total Marks: 50
  • Duration: 60 minutes

TCS NPT AI Exam Syllabus for Part B

Case No. No. of Questions Total Marks Module Coverage Weightage
Case 1 2 20 Introduction to AI, Search 40%
Case 2 4 30 Reasoning, ML, DL, TensorFlow 60%

This structured learning approach ensures participants gain a deep understanding of Artificial Intelligence and its applications, preparing them for real-world AI challenges.

TCS NPT Artificial Intelligence Course - FAQs

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