AI using Python Training
- Offered byDUCAT
AI using Python Training at DUCAT Overview
Duration | 6 months |
Mode of learning | Online |
Official Website | Go to Website |
Credential | Certificate |
AI using Python Training at DUCAT Highlights
- Earn a certification after completion
- Learn from expert faculty
- Doubt support sessions are available
AI using Python Training at DUCAT Course details
- Introduction To Python
- Writing and Executing First Python Program
- Python Language Fundamentals
- Python Conditional Statements
- Looping Statements
- Standard Data Types
- DUCAT offers AI using Python training classes with live projects by the expert trainers in Noida. Our AI using Python training program in Noida is specially designed for Under-Graduates (UG), Graduates, working professionals and also for Freelancers. We provide end-to-end learning on AI using Python Domain with deeper dives for creating a winning career for every profile
AI using Python Training at DUCAT Curriculum
Module 1: Introduction to AI and Python
Understanding the basics of Artificial Intelligence and its applications
Setting up the Python environment for AI development
Module 2: Python Programming Fundamentals
Learning the basics of Python programming, including data types, loops, and functions
Module 3: Machine Learning Basics
Introduction to machine learning concepts, algorithms, and applications
Overview of supervised and unsupervised learning
Module 4: Regression and Classification
Understanding and implementing regression and classification algorithms
Practical applications of predictive modeling
Module 5: Neural Networks and Deep Learning
Basics of neural networks, activation functions, and backpropagation
Building and training deep learning models using libraries like TensorFlow or PyTorch
Module 6: Computer Vision
Working with visual data, including image recognition and object detection
Implementing computer vision algorithms and models
Module 7: Model Evaluation and Optimization
Techniques for evaluating and fine-tuning machine learning and deep learning models
Hyperparameter tuning for improved model performance