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  • Artificial Intelligence Training in Gurgaon is increasingly becoming an integral component of businesses and various software applications. Recommendation engines, chatbots, image recognition tools, and prediction models are just a few examples of the use of AI to solve various business problems. Learning Artificial Intelligence Online Course that requires a good understanding of data preparation, model training, performance evaluation, and practical applications of the learned models.
  • The AI Course in Gurgaon offers a full knowledge of artificial intelligence to those who wish to study artificial intelligence, beginning from basics and moving ahead by implementing the concepts learnt. Some of the topics that are covered under the AI course in Gurgaon include machine learning, neural networks, deep learning, computer vision, natural language processing, and deployment of models.

Artificial Intelligence Training in Gurgaon

About-Us-Course

  • After Artificial Intelligence Training in Gurgaon, you will be able to:
    • Understand the basic concepts of AI, ML and Deep Learning.

      Work with different types of machine learning.

      Prepare and clean datasets.

      Perform feature engineering.

      Build basic machine learning models.

      Understand model evaluation methods.

      Work with neural networks.

      Understand activation functions and optimizers.

      Build basic deep learning models.

      Understand image processing and computer vision.

      Work with CNN-based models.

      Understand object detection concepts.

      Learn the fundamentals of NLP.

      Work with text preprocessing.

      Understand word embeddings.

      Learn about transformers and BERT.

      Serve trained models through APIs.

      Create simple AI applications.

      Track and evaluate model performance.

      Complete an end-to-end AI project.

  • The most important goal of the Artificial Intelligence course in Gurgaon is that of enabling learners to transition from understanding basic ideas of AI to building actual models.
  • The learning path begins with basics of artificial intelligence and machine learning and gradually builds up to neural networks, deep learning, computer vision, NLP and deployment. Such an approach enables the learners to get an understanding of how various components of AI projects work together.
  • The AI Course in Gurgaon enables learners to learn about data gathering and preparation, selection of right algorithms, training and evaluation of results and deployment of the trained model in applications.
  • Apart from the Artificial Intelligence Training in Gurgaon theory, there is an emphasis on practical projects so that learners get a feel of the actual work in the field of AI.
  • Learning Objectives:
    • This AI Course In Gurgaon training includes:

      Introduction to Artificial Intelligence

      Machine learning fundamentals

      Supervised learning

      Unsupervised learning

      Reinforcement learning

      Data cleaning

      Feature engineering

      Machine learning algorithms

      Model evaluation

      Cross-validation

      Overfitting and underfitting

      Neural networks

      Deep learning

      Activation functions

      Gradient descent

      Optimizers

      Regularization

      Computer vision

      Image preprocessing

      CNN architecture

      Transfer learning

      Object detection

      Image segmentation

      Natural Language Processing

      Text preprocessing

      Word embeddings

      RNN and LSTM

      Attention mechanism

      Transformers

      BERT

      Model saving and loading

      API-based model serving

      Streamlit and Gradio applications

      Model tracking

      AI project deployment

      End-to-end capstone project

  • The Artificial Intelligence Training in Gurgaon is designed around both concept learning and practical work. Learners get an opportunity to understand the theory behind AI models and then apply those concepts while working on datasets and projects.
  • Highlights of AI Course in Gurgaon Course:
    • Training from experienced instructors

      Practical learning sessions

      Easy-to-follow course material

      Industry-oriented curriculum

      Machine learning practice

      Deep learning exercises

      Computer vision practice

      NLP exercises

      Model development tasks

      Deployment practice

      Real-world project scenarios

      Assignments

      Doubt-clearing sessions

      Mock interview preparation

      Resume support

      Certification guidance

      Weekday batches

      Weekend batches

      Online learning

      Classroom learning

  • This Artificial Intelligence Training in Gurgaon is for those learners who wish to pursue their careers in the realm of Artificial Intelligence.
  • It is not necessary that you be an expert in AI before taking up this training program. A basic knowledge of computers and programming will only make it easy for you to learn.
  • This Artificial Intelligence Course in Gurgaon is suitable for:
    • 12th Pass Students

      College Students

      Graduates

      B.Tech Students

      BCA Students

      B.Sc. Students

      Computer Science Students

      Software Developers

      Python Developers

      Data Professionals

      Software Engineers

      Working Professionals

      Technology Professionals

      Freshers

      Career Switchers

  • The Artificial Intelligence Course in Gurgaon is suitable for people who want to understand how intelligent systems are developed and used in software applications.
  • Artificial Intelligence Course in Gurgaon is best for:
    • Students

      Graduates

      Freshers

      Software Developers

      Python Developers

      Data Professionals

      Software Engineers

      Computer Science Students

      Working Professionals

      Technology Professionals

      Career Changers

      Professionals interested in AI

  • The usage of artificial intelligence is widespread in various industries for purposes of automation, predictions, classifications, recommendations, language, and image processing.
  • After learning the core concepts, you can work with areas such as:
    • Machine learning

      Deep learning

      Computer vision

      Natural language processing

      Predictive systems

      Recommendation systems

      Text classification

      Image classification

      Object detection

      AI application development

      Model deployment

  • Businesses deal with large amounts of data and repeated tasks. AI can help them process information, identify patterns and support different business activities.
    • Faster Data Analysis: AI models can process large datasets and identify patterns that may be difficult to find manually.

      Better Predictions: Machine learning models can use existing data to make predictions and support business decisions.

      Task Automation: AI can help automate repetitive tasks and reduce the amount of manual work involved.

      Better Customer Interaction: Language-based AI systems can be used for chatbots, text classification and customer support applications.

      Image-Based Processing: Computer vision models can identify objects, classify images and analyse visual information.

      Improved Applications: AI can be added to software products to provide recommendations, predictions and intelligent features.

  • After taking the Artificial Intelligence Course in Gurgaon, students are free to explore career paths that require expertise in machine learning, data analysis, model building, and AI deployment. The careers can span software firms, technology firms, product firms, start-ups, consulting firms, and any other business dealing with data and intelligent systems.
  • Job Roles You Can Opt For:
    • AI Developer

      Machine Learning Engineer

      AI Engineer

      Machine Learning Developer

      Deep Learning Engineer

      Computer Vision Engineer

      NLP Engineer

      AI Software Developer

      Machine Learning Analyst

      Data Science Professional

      AI Application Developer

      Research Assistant

      AI Solutions Developer

  • The Artificial Intelligence Training in Gurgaon focuses on tools and concepts that are commonly used while building and deploying AI models.
    • Machine Learning: Learn how machine learning models are created, trained, evaluated and improved.

      Neural Networks: Understand how neural networks process information and learn patterns from data.

      Deep Learning: Learn the basic working of deep learning models and how they can be trained for different tasks.

      Computer Vision: Learn how AI models can process images and perform tasks such as classification and object detection.

      Natural Language Processing: Understand how machines process and analyse human language.

      Transformers: Learn the basic concepts behind transformer-based language models and their applications.

      Model Deployment: Understand how trained models can be saved, served and connected with applications.

      Streamlit and Gradio: Learn how simple interfaces can be created around AI models.

      FastAPI: Understand how trained models can be exposed through APIs for application use.

      MLflow: Learn the basics of tracking models, experiments and versions.

  • The Artificial Intelligence Course in Gurgaon follows a project-based approach so learners can practise the concepts covered during training.
  • Project Ideas:
    • Titanic Survival Prediction

      HR Analytics Prediction

      Image Classification

      Object Detection Using YOLO

      Visual Search Application

      Sentiment Classification

      NLP-Based Text Classification

      Customer Support Chatbot

      Fake News Detection

      Plant Disease Detection

      Resume Screening System

      Job Matching System

      Energy Consumption Prediction

      AI Application Deployment Project

      These projects allow learners to work with different types of AI problems involving tabular data, images and text.

  • The Artificial Intelligence Training in Gurgaon focuses on learning by doing. Learners can practise the different stages of an AI project instead of only studying definitions and concepts.
  • Practical Learning Activities In AI Course In Gurgaon:
    • Preparing datasets

      Cleaning data

      Performing feature engineering

      Training machine learning models

      Comparing algorithms

      Evaluating model performance

      Building neural networks

      Training deep learning models

      Processing images

      Creating computer vision models

      Processing text data

      Building NLP models

      Working with transformers

      Saving trained models

      Creating APIs

      Building simple AI interfaces

      Deploying models

      Testing AI applications

      Presenting the final project

  • Upon completion of the Artificial Intelligence Training in Gurgaon, learners can get their course completion certificate depending on the certification process of the training institute.
  • Along with certification support, training may include:
    • Course completion certificate

      Practice assignments

      Project work

      Mock interviews

      Resume preparation

      Interview preparation

      Career guidance

      Certification guidance

      A certificate can show that you completed the training, but practical skills and project experience are also important when applying for AI-related positions.

  • Salary after completing an Artificial Intelligence Course in Gurgaon can vary depending on your education, technical knowledge, project experience, job role, company and location.
    • Freshers From 4LPA to 8LPA

      13 Years Experience From 6LPA to 12LPA

      Experienced Professionals From 10LPA to 20LPA+

      These figures are broad estimates. Actual salaries can be different depending on the candidate, role, company, skills and experience.

  • Factors That Influence Salary:
    • AI development skills

      Machine learning knowledge

      Programming skills

      Deep learning knowledge

      Project experience

      Computer vision skills

      NLP knowledge

      Model deployment skills

      Problem-solving ability

      Communication skills

      Educational qualification

      Professional certification

  • Selecting the correct training program will make it easy for the learner to grasp and practice AI knowledge. Our AI Course in Gurgaon program emphasizes classroom theory along with practical sessions. This will assist the learners to gain insight into the entire process of creating an AI solution. This includes preparing the data and designing the model to testing and deploying the same.
  • Reasons Why Students Choose Us:
    • Experienced trainers

      Updated course content

      Simple teaching approach

      Practical assignments

      Project-based learning

      Machine learning practice

      Deep learning practice

      Computer vision exercises

      NLP exercises

      Model deployment practice

      Flexible batch timings

      Weekday and weekend batches

      Online and classroom training

      Study material

      Doubt-clearing sessions

      Certification guidance

      Resume support

      Mock interviews

      Placement assistance

      Career guidance

  • Artificial Intelligence is no longer restricted to labs. It is now being employed in software programs, enterprise systems, customer platforms, and data products. If you want to Build practical knowledge in this field, the AI course in Gurgaon can help you start with the basics and gradually move towards real AI development. The Artificial Intelligence course in Gurgaon covers important areas such as machine learning, neural networks, deep learning, computer vision, NLP and model deployment. With regular practice and project work, you can become more comfortable with the complete AI development process.

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CURRICULUM & PROJECTS

Artificial Intelligence Training Program

    Foundation for AI: Learn traditional ML models, evaluation, and workflows.

    • Introduction to ML, AI, and Deep Learning
    • Types of ML (Supervised, Unsupervised, Reinforcement)
    • ML Pipeline: Data Cleaning, Feature Engineering
    • Common ML Algorithms: Linear, Logistic, DT, RF, SVM, KNN
    • Model Evaluation: Accuracy, Precision, Recall, F1, ROC-AUC
    • Overfitting, Underfitting, Cross-Validation
    • Hands-on Project: Titanic Dataset (or similar)
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    Understand the inner workings of neural networks and train them with Keras.

    • Introduction to Neural Networks & Deep Learning
    • Activation Functions (ReLU, Sigmoid, Tanh)
    • Feedforward Neural Network
    • Backpropagation & Gradient Descent
    • Learning Rate, Schedulers & Optimizers (SGD, Adam, RMSProp)
    • Softmax, Cross-Entropy Loss
    • Keras Basics: Sequential API & Functional API
    • Fully Connected Layer – Forward/Backward Pass
    • Regularization – Dropout, Batch Normalization
    • Data Preprocessing & Data Augmentation
    • Weight Initialization Strategies
    • Babysitting Learning: Overfit detection, TensorBoard Monitoring
    • Hands-on: MLP on MNIST / Tabular data (e.g. HR Analytics)
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    Master CNNs, object detection, segmentation, and deployment.

    • Basics of Images, Image Preprocessing
    • Convolution: 2D Conv, Forward & Backward
    • Pooling, Padding, Stride, Transposed Conv
    • CNN Architectures: LeNet, AlexNet, VGG, ResNet
    • GPU vs CPU for DL
    • Transfer Learning: Inception, MobileNet, fine-tuning
    • Semantic Segmentation using UNet
    • Object Detection – YOLO, SSD, Region Proposal
    • Bounding Box Regressor
    • Siamese Networks for Similarity Search
    • Hands-on:
      • Image Classification with CNN
      • Object Detection with YOLOv8
      • Visual Search with Embeddings
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    Train text models from scratch and with BERT.

    • Introduction to NLP and Use Cases
    • Preprocessing: Tokenization, Lemmatization, Stopwords, Normalization
    • Feature Extraction: BOW, TF-IDF, N-Grams
    • Word Embeddings: Word2Vec, GloVe, Dense Vectors
    • POS Tagging, Named Entity Recognition
    • RNN, LSTM – Forward Pass and BPTT
    • Advanced LSTM Applications + Architectures
    • Attention Mechanism + Encoder-Decoder
    • Transformers, BERT, Hugging Face Pipelines
    • NLP Evaluation Metrics: BLEU, ROUGE
    • Hands-on:
      • Sentiment Classifier (LSTM or BERT)
      • Deploy NLP Model with Streamlit
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    Take models from notebooks to real-world applications.

    • Saving & Loading Models (Pickle, Joblib, Keras)
    • Flask vs FastAPI – Serving ML models
    • Streamlit/Gradio for Web Apps
    • Hosting Models on Hugging Face Spaces, Streamlit Cloud
    • MLflow Intro – Model Tracking & Versioning
    • Hands-on:
      • Deploy CV or NLP model with Streamlit
      • Create API using FastAPI
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    Build, evaluate, and deploy a mini AI project end-to-end.

    • Project Selection: Tabular, CV, or NLP
    • Data Collection/Exploration
    • Preprocessing + Feature Engineering
    • Model Training & Tuning
    • Evaluation & Interpretation
    • App Creation (Streamlit/Gradio)
    • Deployment + Final Presentation/Submission
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    Fake News Detection (NLP)

    Plant Disease Detection (CV)

    Job Match/Resume Screening (Tabular + NLP)

    Visual Product Search Engine (CV)

    Chatbot for Customer Support (NLP)

    Energy Consumption Forecasting (Time Series + Tabular Data)

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FAQ's

Croma Campus is the well-known Artificial Intelligence Training in Gurgaon with high tech infrastructure and lab facilities. We also provide online access to servers so that candidates will implement the projects at their homes easily. Croma Campus in Gurgaon mentored more than 3000+ candidates with Artificial Intelligence Training Institute in Gurgaon at a very reasonable fee. The course curriculum is customized as per the requirement of candidates/corporates.

Artificial Intelligence (AI) assistance for the job - Like Data Scientists, Software Analysts and Developers, Computer Engineers and Computer Scientists, Algorithm Specialists, Research Scientists and Engineering consultants, Maintenance Technicians, and Mechanical Engineers.

Croma Campus: Artificial Intelligence Training Institute in Gurgaon conducted by specialist working certified corporate professionals having 8+ years of experience in implementing real-time Artificial Intelligence projects. Candidates will implement the following concepts under Artificial Intelligence: Fundamentals of Reinforcement Learning, Q-Learning Intuition, Building a Self-Driving Car, Creating the environment, Building an AI on real-time projects along with Artificial Intelligence Placement Training modules like aptitude test preparation, etc.

There are four types of Artificial Intelligence: reactive machines, limited memory, the theory of mind and self-awareness.

The ways to connect Croma Campus.

  • Phone number: +91-120-4155255, +91-9711526942
  • Email: info@cromacampus.com
  • Address: G-21, Sector-03, Noida (201301)

Yes. The AI course in Gurgaon begins with basic Artificial Intelligence and machine learning basics before progressing to neural networks, deep learning, computer vision, NLP and deployment.

No. Prior knowledge of AI is not mandatory. You can begin with basic concepts and gradually develop practical models.

Yes. Practical exercises would include dataset creation, model training, evaluation, computer vision, NLP and deployment exercises.

Yes. You would get a completion certificate according to the certificate process followed by the institute.

Yes. Professionals can take up the Artificial Intelligence course in Gurgaon and opt for batch timings that suit them.

You would learn machine learning, neural networks, deep learning, computer vision, NLP, transformers, model evaluation and deployment.

Programming knowledge is useful because AI models require coding for data processing, training and deployment. Learners can build their programming knowledge along with the AI concepts.

Projects can include image classification, object detection, sentiment analysis, fake news detection, resume screening, chatbots and other AI applications.

Students, graduates, freshers, developers, software professionals, data professionals and working professionals can enrol in the Artificial Intelligence Training in Gurgaon.

Based on your skill set and experience, you could go for positions like AI Developer, Machine Learning Engineer, AI Engineer, Deep Learning Engineer, Computer Vision Engineer, NLP Engineer, and AI Application Developer.

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  • - Get Tips from Trainer to Clear Interviews
  • - Attend Mock-Up Interviews with Experts
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