Ranked #1 in India
4.9/5 Rating

AI/ML Program

Build and deploy advanced AI and Machine Learning models.

4-5 Months
2,450+ Enrolled

Why Choose This Course?

1:1 Mentorship

Personalized guidance from industry experts to clear doubts and build your career path.

Live Projects

Work on real-world case studies and build a portfolio that employers love.

Placement Support

Dedicated placement cell to help you with resume building and mock interviews.

24/7 Support

Never get stuck. Our support team is available round the clock to assist you.

Curriculum & Learning Path

Start Your Journey
Step 1

Mathematical Foundations

  • Linear algebra
  • Calculus (derivatives, gradients)
  • Probability & statistics
  • Optimization basics
Step 2

Programming Fundamentals

  • Python programming
  • NumPy
  • Pandas
  • Matplotlib/Seaborn
  • Data structures & algorithms
Step 3

Introduction to AI & ML

  • Supervised, Unsupervised, Reinforcement Learning
  • AI fundamentals
  • Intelligent agents
Step 4

Data Handling and Preprocessing

  • EDA
  • Feature engineering
  • Handling missing values
  • Scaling & normalization
Step 5

Supervised Learning Algorithms

  • Linear/Logistic regression
  • Decision trees
  • Random forests
  • SVM
  • KNN
  • Naive Bayes
Step 6

Model Evaluation and Validation

  • Cross-validation
  • Performance metrics (Accuracy, F1, ROC)
  • Overfitting/Underfitting
  • Hyperparameter tuning
Step 7

Unsupervised Learning

  • K-means
  • Hierarchical clustering
  • DBSCAN
  • PCA
  • t-SNE
  • Anomaly detection
Step 8

Ensemble Methods

  • Bagging
  • Boosting (AdaBoost, XGBoost, LightGBM)
  • Stacking
Step 9

Neural Networks & Deep Learning

  • Perceptrons
  • Backpropagation
  • CNNs
  • RNNs
  • LSTMs
  • Transfer learning
Step 10

Natural Language Processing

  • Tokenization
  • Word embeddings (Word2Vec, GloVe)
  • Transformers (BERT, GPT)
  • Sentiment analysis
Step 11

Computer Vision

  • Image recognition
  • Object detection (YOLO)
  • Facial recognition
Step 12

Reinforcement Learning

  • Markov decision processes
  • Q-learning
  • DQN
Step 13

Time Series Analysis & Emerging Tech

  • ARIMA
  • Prophet
  • Generative AI
  • AutoML
  • Explainable AI
Step 14

MLOps and Model Deployment

  • Flask/FastAPI
  • Docker
  • AWS/GCP/Azure deployment
  • CI/CD pipelines
  • MLflow
Job Ready!

Tools & Technologies

Python
Python
TensorFlow
TensorFlow
Keras
Keras
PyTorch
PyTorch
Scikit-learn
Scikit-learn
NumPy
NumPy
Pandas
Pandas
Matplotlib
Matplotlib
OpenCV
OpenCV

Hands-on Projects

Capstone Project
Apply your learning in a real-world scenario.

Work on industry-relevant datasets and problem statements to build a portfolio-worthy project.

Live Business Case Studies
Solve actual business problems.

Analyze trends, forecast data, and provide actionable insights just like a professional.

Alumni Working At Top Global Companies

Our learners are transforming industries worldwide.

IBM
Facebook
Qualcomm
Honeywell
Oracle
Cisco
Algoworks
Nexgen

Student Success Stories

R
Ritika Verma
B.Tech Student

"The course gave me real project experience. The mentors were outstanding."

A
Amit Shah
AI Developer

"Opened my eyes to autonomous systems."

Frequently Asked Questions

Program Fees

₹50,000₹60,000
10% Off for next 5 enrollments
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+91 98765 43210