Course Content
Introduction to AI and Python for AI Development
0/3
Overview of Artificial Intelligence
Setting Up Python for AI Development
Python Programming Essentials for AI
Data Handling, Processing, and Visualization
0/3
Working with Data using Pandas
Data Visualization
Handling Large Datasets
Machine Learning Fundamentals
0/3
Introduction to Machine Learning
Building Machine Learning Models with Scikit-Learn
Hyperparameter Tuning and Model Optimization
Deep Learning with TensorFlow and PyTorch
0/3
Understanding Neural Networks
Building Deep Learning Models with TensorFlow and Keras
Implementing Deep Learning Models with PyTorch
Natural Language Processing (NLP)
0/3
Introduction to NLP and Text Processing
Feature Engineering for NLP
Building NLP Models with Transformers
Computer Vision and Image Processing
0/3
Basics of Image Processing
Implementing Convolutional Neural Networks (CNNs)
Transfer Learning for Computer Vision
Reinforcement Learning and AI Applications
0/3
Basics of Reinforcement Learning
Implementing Q-Learning and Deep Q Networks (DQN)
AI for Real-World Applications
AI Model Deployment and Cloud Integration
0/3
Exporting and Deploying AI Models
Cloud AI Services (Google AI, AWS, and Azure)
Optimizing AI Models for Production
Capstone Project, Assessment & Certification
0/3
AI Project Development
Practical Assignments & Case Studies
Certification Exam
AI Programming with Python
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