Introduction to machine learning, deep learning, and natural language processing

Data preprocessing and feature engineering

Overview of popular AI tools and frameworks (e.g., TensorFlow, PyTorch)

Hands-on exercises using AI development environments

Sentiment analysis, text summarization, and language translation

Implementing NLP projects in a business context

Basics of computer vision and image processing

Object detection, image classification, and facial recognition

Real-world applications of computer vision in industries

Aligning AI with business goals

ROI and cost-benefit analysis of AI implementations

Identifying key performance indicators (KPIs) for AI projects

Developing a roadmap for AI integration in business processes

Emerging technologies in AI

Industry-specific trends and advancements

Preparing for the future of AI in the workplace