Python Masterclass
Master AI & Machine Learning
Dive deep into the world of Artificial Intelligence and Machine Learning. Learn to build, train, and deploy ML models using Python, TensorFlow, and industry-standard libraries. This program covers everything from fundamentals to advanced deep learning techniques.
Quick Facts
Duration
3 Months
Core Tech
Python
Format
In-person Labs
Program Highlights
Python for data science and ML
Supervised and unsupervised learning
Deep learning with TensorFlow/Keras
Natural Language Processing (NLP)
Computer Vision applications
Model deployment and MLOps basics
Curriculum Breakdown
Weeks 1-3
Module 1- Python programming for data science
- NumPy, Pandas, and Matplotlib
- Data preprocessing and feature engineering
- Statistics and probability for ML
Weeks 4-6
Module 2- Supervised learning algorithms
- Linear/Logistic regression
- Decision trees and random forests
- Model evaluation and validation
Weeks 7-9
Module 3- Neural networks fundamentals
- Deep learning with TensorFlow/Keras
- CNNs for computer vision
- Transfer learning and fine-tuning
Weeks 10-12
Module 4- Natural Language Processing basics
- RNNs and LSTMs
- Model deployment (Flask, FastAPI)
- Final project: End-to-end ML solution
Key Outcomes
- Build and train machine learning models
- Implement deep learning solutions
- Work with real-world datasets
- Deploy ML models to production
- Apply AI to solve business problems
Why Choose Us?
- Learn from real-time industry professionals
- Hands-on experience with live projects
- Master cutting-edge Embedded & AI technologies
- Industry-relevant tools and practical training
- Career guidance & job assistance
- Fully equipped, hands-on labs
- Strong focus on personal development