AI & ML Training Program
This 120-hour AI & Machine Learning training program is designed to equip aspiring data scientists, software developers, and tech professionals with in-demand skills in artificial intelligence and machine learning. Gain hands-on experience with Python programming, data preprocessing, machine learning algorithms, neural networks, and real-world AI project deployment.
Course Schedule
Weekend Batch
Days: Saturday & Sunday
Online Training:
7:00 PM - 9:00 PM (2 hours/day)
Offline Training:
- Morning: 9:00 AM - 12:00 PM
- Afternoon: 1:00 PM - 4:00 PM
Weekday Batch
Days: Monday to Friday
Online Training:
7:00 PM - 9:00 PM (2 hours/day)
Offline Training:
- Morning: 9:00 AM - 12:00 PM
- Afternoon: 1:00 PM - 4:00 PM
Why Choose Our Program?
Learn from industry-experienced instructors
Hands-on projects and real-world datasets
Certification that adds value to your resume
Career support and interview guidance
What You'll Learn
Foundations of Artificial Intelligence and Machine Learning
Python Programming for AI/ML Applications
Data Preprocessing and Feature Engineering
Supervised & Unsupervised Learning Algorithms
Deep Learning, Neural Networks, CNNs, and RNNs
End-to-End Model Deployment
Hands-On Projects with Real-World Case Studies
Module 1: Introduction to AI & Machine Learning
Module 1: Introduction to AI & Machine Learning
Duration : 6 Hours
What is AI and ML?
History and Scope of AI
Types of Machine Learning: Supervised, Unsupervised, Reinforcement
Real-World Applications in Industry
Module 2: Python for AI & ML
Module 2: Python for AI & ML
Duration : 18 Hours
Python Basics and Data Types
Control Structures and Functions
NumPy, Pandas for Data Manipulation
Matplotlib and Seaborn for Data Visualization
Module 3: Data Preprocessing & Feature Engineering
Module 3: Data Preprocessing & Feature Engineering
Duration : 15 Hours
Handling Missing Values and Outliers
Data Transformation and Scaling
Encoding Categorical Data
Feature Selection and Extraction Techniques
Module 4: Machine Learning Algorithms
Module 4: Machine Learning Algorithms
Duration : 24 Hours
Linear and Logistic Regression
Decision Trees and Random Forests
K-Nearest Neighbors (KNN)
Support Vector Machines (SVM)
Clustering with K-Means and Hierarchical Clustering
Model Evaluation (Accuracy, Precision, Recall, F1 Score, ROC-AUC)
Module 5: Deep Learning & Neural Networks
Module 5: Deep Learning & Neural Networks
Duration : 24 Hours
Introduction to Neural Networks
Feedforward and Backpropagation
Activation Functions and Optimization
Convolutional Neural Networks (CNNs)
Recurrent Neural Networks (RNNs)
Frameworks: TensorFlow & Keras
Module 6: AI Project Development & Deployment
Module 6: AI Project Development & Deployment
Duration : 18 Hours
Building End-to-End AI Projects
Model Saving and Loading
Deployment Using Flask and Streamlit
Integrating Models with Web Applications
Deployment on Cloud (Heroku, AWS, etc.)
Module 7: Capstone Project & Certification
Module 7: Capstone Project & Certification
Duration : 15 Hours
Real-World Capstone Project (Healthcare, E-Commerce, Finance, etc.)
Code Review and Presentation
Final Assessment & Certification
Career Guidance and Portfolio Building
Online
For Students, Professionals and Graduates.
₹41999
Course Completion Certificate
Learning Modules
Project Submission
Guest Lectures
5 Mentorship Sessions