Introduction to Artificial Intelligence
Understanding Data
Overview of Machine Learning
AI vs. Machine Learning vs. Deep Learning
Ethics and the Future of AI
Applications of AI Across Industries
Introduction to Programming for AI
Supervised Learning
Unsupervised Learning
Feature Engineering and Data Preparation
Model Evaluation and Selection
Introduction to Neural Networks
AI Frameworks
Practical Project
Fundamentals of Deep Learning
Convolutional Neural Networks (CNNs)
Recurrent Neural Networks (RNNs)
Advanced Neural Network Architectures
Training and Optimization Techniques
Overcoming Common Challenges
Practical Project
Introduction to NLP and Text Data
Text Preprocessing and Tokenization
Word Embeddings and Language Models
Sentiment Analysis and Text Classification
Building Chatbots and Virtual Assistants
Advanced NLP Techniques
Practical Project
Introduction to Computer Vision
Image Preprocessing and Augmentation
Object Detection and Recognition Techniques
Semantic and Instance Segmentation
Deep Learning for Computer Vision
Practical Project
Building an AI Strategy for Businesses
Integrating AI in Business Operations
Cloud Platforms for AI - AWS, Google Cloud, and Azure
MLOps - Managing Machine Learning Operations
Deploying AI Models - API and Web Services
Monitoring and Maintaining AI Systems
Monitoring and Maintaining AI Systems
