import tensorflow as tf
model = tf.keras.Sequential()
model.fit(X_train, y_train)
Emerging Tech Course

AI & Machine Learning

Unlock the power of Artificial Intelligence and Machine Learning. Learn core concepts, algorithms, deep learning, and deploy AI models in this comprehensive 6-month program.

6 Months Duration
Live Interactive Classes
5+ Real Projects
Industry Certificate
₹17,999 ₹59,999 70% OFF
Enroll Now View Curriculum
Python
TensorFlow
PyTorch
Scikit-learn

150+

Students Graduated

90%

Placement Rate

4.8/5

Student Rating

₹5.5L

Average Package

Curriculum

Course Curriculum

Comprehensive curriculum designed by industry experts

Module 1: AI/ML Fundamentals & Python for Data Science

4 Weeks • 16 Hours

  • Introduction to AI & ML
  • Python Basics for Data Science (NumPy, Pandas)
  • Data Visualization (Matplotlib, Seaborn)
  • Statistical Concepts for ML
  • Linear Algebra for ML
  • Setting up ML Environment
  • Project: Exploratory Data Analysis

Module 2: Data Preprocessing & Feature Engineering

3 Weeks • 12 Hours

  • Data Cleaning and Missing Values
  • Data Transformation and Scaling
  • Feature Selection Techniques
  • Handling Categorical Data
  • Dimensionality Reduction (PCA)
  • Project: Preprocessing a Real-world Dataset

Module 3: Supervised Learning

6 Weeks • 24 Hours

  • Regression Models (Linear, Logistic)
  • Classification Algorithms (Decision Trees, SVM, KNN)
  • Ensemble Methods (Random Forest, Gradient Boosting)
  • Model Evaluation Metrics (Accuracy, Precision, Recall)
  • Hyperparameter Tuning
  • Cross-Validation Techniques
  • Project: Predictive Model for Customer Churn

Module 4: Unsupervised Learning & Deep Learning Basics

4 Weeks • 16 Hours

  • Clustering Algorithms (K-Means, DBSCAN)
  • Introduction to Neural Networks
  • Building ANNs with TensorFlow/Keras
  • Convolutional Neural Networks (CNNs) basics
  • Recurrent Neural Networks (RNNs) basics
  • Project: Image Classification with CNN

Module 5: MLOps & Deployment

3 Weeks • 12 Hours

  • Introduction to MLOps
  • Version Control for ML Projects (Git, DVC)
  • Model Serialization and Loading (Pickle, Joblib)
  • Building ML APIs with Flask/FastAPI
  • Dockerizing ML Models
  • Cloud Deployment for ML (AWS Sagemaker, Google AI Platform)
  • Project: Deploy a Machine Learning Model

Module 6: AI/ML Capstone Project

4 Weeks • 16 Hours

  • End-to-End Project Planning and Design
  • Data Collection and Preparation
  • Model Development and Experimentation
  • Evaluation and Refinement
  • Deployment and Monitoring
  • Final Project: Build a complete AI/ML Application
Skills

What You'll Learn

Skills and technologies you'll master in this course

AI & ML Fundamentals

  • Understand core AI/ML concepts and terminology
  • Master Python for data science and machine learning
  • Data visualization and statistical analysis
  • Essential mathematical foundations for ML

Machine Learning Algorithms

  • Implement various regression and classification models
  • Apply ensemble techniques for improved performance
  • Perform effective data preprocessing and feature engineering
  • Evaluate and tune machine learning models

Deep Learning & Neural Networks

  • Grasp the concepts of artificial neural networks
  • Build and train deep learning models using TensorFlow/Keras
  • Understand and apply CNNs for image data
  • Explore the basics of RNNs for sequential data

MLOps & Deployment

  • Implement version control for ML projects
  • Containerize and deploy ML models using Docker
  • Integrate models into web applications using Flask/FastAPI
  • Deploy AI solutions on cloud platforms
Success Stories

Student Success Stories

See how our AI & Machine Learning course transformed careers

AK

Ankit Kumar

Junior Data Scientist at Tech Solutions

₹5.0 LPA

"The AI & ML course at Naya Prayog was incredibly insightful. The hands-on labs and real-world projects were key to my understanding. I secured a Data Scientist role, thanks to the comprehensive curriculum and placement support!"

DS

Divya Sharma

ML Engineer Trainee at Innovate AI

₹5.8 LPA

"Even with a limited programming background, I found the course well-structured and easy to follow. The instructors' guidance on deep learning concepts was exceptional. I'm now confidently working on ML projects."

RS

Rahul Singh

AI Developer at Startup X

₹6.2 LPA

"This course provided a fantastic blend of theoretical knowledge and practical application. The capstone project was particularly helpful in solidifying my skills and building a strong portfolio. Highly recommend for aspiring AI professionals."

Ready to Dive into AI & Machine Learning?

Join future-ready professionals who are shaping tomorrow with our AI & Machine Learning course.

Next Batch Starts
Limited Seats: Only 20 Students
Early Bird Offer
Enroll Now - ₹17,999 Chat with Counselor
```