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Objective of course Develop a strong foundation in Artificial Intelligence (AI) and Machine Learning (ML), including essential math and core …

Original price was: ₹10,000.00.Current price is: ₹5,000.00.

Objective of course

  • Develop a strong foundation in Artificial Intelligence (AI) and Machine Learning (ML), including essential math and core concepts.
  • Equip learners with hands-on experience in building predictive models, image classifiers, and text classifiers.
  • Introduce practical applications of neural networks, natural language processing (NLP), and computer vision.
  • Enable participants to understand and implement end-to-end ML workflows, from data preprocessing to model evaluation.
  • Prepare students for AI/ML industry roles by enhancing their professional profiles and interview readiness.


Job roles in industry

  • Machine Learning Engineer
  • Data Scientist
  • AI Engineer
  • NLP Specialist
  • Computer Vision Engineer
  • Data Analyst


Included in this course

  • Fundamental understanding of ML models (supervised and unsupervised).
  • Building and evaluating supervised ML models.
  • Building and training a convolutional neural network (CNN) on image datasets.
  • Building ML models for text classification (e.g., sentiment analysis).
  • Mock interviews with feedback on core and advanced AI/ML topics.
  • Dedicated sessions for Q&A and project documentation reviews to ensure clarity and thorough understanding.


Passing criteria

Learner needs to score minimum 60% to pass the exam. Scores are given for every quiz & assignment.

Course Currilcum

    • Introduction to AI/ML Concepts and Applications Unlimited
    • Essential Math: Linear Algebra, Calculus for ML Unlimited
    • Probability and Statistics for ML Unlimited
    • Overview of ML Models (Supervised, Unsupervised) Unlimited
    • Doubt clearing session / Q&A Unlimited
    • Data Preprocessing and Feature Engineering Unlimited
    • Exploratory Data Analysis (EDA) Unlimited
    • Building and Training a Supervised ML Model Unlimited
    • Model Evaluation and Performance Metrics Unlimited
    • Project documentation submission/ Review 1 week, 3 days
    • Fundamentals of Neural Networks Unlimited
    • Building a Feedforward Neural Network Unlimited
    • Introduction to CNN for Image Classification Unlimited
    • Hands-On CNN Model Training on Image Dataset Unlimited
    • Project documentation submission/ Review 1 week, 3 days
    • Introduction to Natural Language Processing (NLP) Unlimited
    • Text Preprocessing Techniques Unlimited
    • Implementing NLP with ML Models (e.g., Sentiment Analysis) Unlimited
    • Fine-Tuning and Evaluation of NLP Models Unlimited
    • Project documentation submission/ Review 1 week, 3 days
    • Building an AI/ML-Specific Professional CV Unlimited
    • Optimizing LinkedIn and GitHub Profiles for AI/ML Unlimited
    • Interview Preparation: Core AI/ML Concepts Unlimited
    • Interview Preparation: Advanced Topics Unlimited
    • Mock Interviews with Feedback 1 week, 3 days
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