Advanced Machine Learning and Artificial Intelligence for Non-IT

Duration

Advanced Machine Learning and Artificial Intelligence for Non-IT

2 days

Overview

This two-day course is designed for non-IT professionals, offering a comprehensive overview of advanced machine learning and artificial intelligence concepts. The focus is on practical applications, real-world examples, and ethical considerations.

Day 1: Advanced Machine Learning Concepts

Introduction to Advanced Machine Learning (Morning Session)

• Welcome and Course Overview
• Introduction to Advanced ML and AI Concepts
• Relevance and Applications for Non-IT Professionals
• Review of Basic Machine Learning Concepts
• Recap of Supervised and Unsupervised Learning
• Model Evaluation and Cross-Validation
• Advanced Regression and Classification Techniques
• Support Vector Machines (SVM)
• Ensemble Learning: Random Forests and Gradient Boosting

Neural Networks Demystified (Afternoon Session)

• Understanding Neural Networks
• Basics of Artificial Neurons
• Feedforward and Backpropagation
• Introduction to Deep Learning
• Convolutional Neural Networks (CNNs)
• Applications of Deep Learning in Everyday Life
• Hands-On Exercise: Exploring Deep Learning Applications
• Building Understanding Through Practical Examples
• Use Cases in Image and Speech Recognition

Day 2: Advanced Artificial Intelligence Applications

Reinforcement Learning Simplified (Morning Session)

• Introduction to Reinforcement Learning (RL)
• Basics of RL and Real-world Applications
• Understanding Agents and Environments
• Practical Applications of RL
• Games, Robotics, and Decision-Making
• Impact of RL in Daily Life

Natural Language Processing (NLP) Unveiled (Afternoon Session)

• Decoding Natural Language Processing (NLP)
• Text Preprocessing and Tokenization
• Applications of NLP in Business and Communication
• Exploring Advanced NLP Techniques
• Word Embeddings (e.g., Word2Vec, GloVe)
• Understanding Language Models (e.g., BERT)
• Hands-On Exercise: Interacting with NLP Applications
• Experimenting with Sentiment Analysis
• Creating Basic Chatbots

Responsible AI Practices and Future Trends

• Ethics in AI and Responsible AI Practices
• Privacy Concerns and AI Transparency
• Future Trends in AI for Non-IT Professionals
• AI and Healthcare, Finance, and Education
• AI in Everyday Consumer Products

Programme scope, delivery arrangements and suitability are confirmed during enquiry.