Artificial Intelligence (AI) & Machine Learning (ML) TRAINING

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ARTIFICIAL INTELLIGENCE & MACHINE LEARNING TRAINING

Learn the required theory, obtain the practical skills, and get the right industry exposure to be able to design intelligent systems, build predictive models, and apply machine learning algorithms to solve real-world problems and become a successful AI & ML professional

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2-3 Months

24+Hrs

10k+ Students

30+ Experts

1 On One Interaction

Here's Why You Need to Master AI & ML

10,000+

JOB OPPORTUNITIES IN INDIA

15LPA-30LPA

MEDIAN SALARY PACKAGE

60%

ANNUAL GROWTH RATE

CURRICULUM

MODULE 1: Python for AI & ML
  1. Python Basics: Data Types, Loops, Functions
  2. Introduction to Numpy, Pandas for Data Handling
  3. Data Visualization using Matplotlib & Seaborn
MODULE 2: Mathematics for AI & ML
  1. Statistics: Descriptive & Inferential Methods
  2. Probability Theory for ML Applications
  3. Linear Algebra: Matrix Operations, Eigenvalues & Eigenvectors
MODULE 3: Regression Models
  1. Linear Regression & Polynomial Regression
  2. Logistic Regression for Classification
  3. Performance Metrics: MSE, R², Accuracy, Precision, Recall
MODULE 4: Classification Algorithms
  1. Decision Trees & Random Forest
  2. K-Nearest Neighbors (KNN)
  3. Naive Bayes Classifier
  4. Support Vector Machines (SVM)
MODULE 5: Ensemble Learning
  1. Bagging: Random Forests in Depth
  2. Boosting: AdaBoost, Gradient Boosting, XGBoost

  3. Stacking Models & Bias-Variance Tradeoff

MODULE 6: Unsupervised Learning
  1. Clustering Techniques: K-Means, DBSCAN, Hierarchical Clustering
  2. Association Rule Mining (Apriori, FP-Growth)
  3. Dimensionality Reduction: PCA, LDA, SVD
MODULE 7: Neural Networks Foundations
  1. Perceptron Model & Activation Functions
  2. Forward & Backward Propagation
  3. Loss Functions & Optimizers
MODULE 8: Deep Learning Architectures
  1. Multi-Layer Perceptrons (MLPs)
  2. Convolutional Neural Networks (CNNs)
  3. Transfer Learning with Pre-trained Models (VGG16, ResNet, XceptionNet)
MODULE 9: Natural Language Processing (NLP)
  1. Text Preprocessing: Tokenization, Stopwords, Lemmatization
  2. Word Embeddings: Word2Vec, GloVe
  3. Sequence Modeling with RNN & LSTM
MODULE 10: AI in Practice & Industry Applications
  1. Real-World AI Use Cases: Computer Vision, Healthcare, Finance, Marketing
  2. AI in Business Automation & Decision-Making
  3. Ethics, Responsible AI & Future Trends

Companies Hiring AI & ML EXPERTS

Our curriculum is designed to give you the skills needed to crack interviews at leading companies like these.

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Affordable and student friendly prices

SKILLSTACK

  • Recorded Lectures
  • Real Time Projects
  • 4+ Hrs of Live Sessions
  • One On One Doubt Sessions
  • CERTIFICATION
  • Mentor Support
  • Placement Guidance
  • Interview Assistance
  • Linkedin Optimization

₹5,000.00Add to cart

SKILLFORGE

  • Recorded Lectures
  • Real Time Projects
  • 10+ Hrs of Live Sessions
  • One On One Doubt Sessions
  • CERTIFICATION
  • Mentor Support
  • Placement Guidance
  • Interview Assistance
  • Linkedin Optimization

₹9,000.00Add to cart

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