Program Content
Embark on a comprehensive journey through Artificial Intelligence with our program. Beginning with an overview encompassing rule-based systems to deep learning, we delve into the current ecosystem and future considerations, including regulation and ethics. From there, we delve into the fundamentals of programming and mathematics, followed by an exploration of machine learning and neural networks. Hands-on experiences with AI tools and platforms, as well as prototyping for business capabilities, pave the way for a final capstone project where participants showcase their skills and insights.
AN OVERVIEW OF ARTIFICIAL INTELLIGENCE
• An Overview of Artificial Intelligence: From Rule-Based Systems to Deep Learning.
• The Current Ecosystem of Artificial Intelligence: Knowing the Key Players.
• Regulation, Ethics and the future os AI
- Conscious AI
- AI Regulation
- The Future of AI
FUNDAMENTALS OF PROGRAMMING AND MATHEMATICS
• Python I (Introduction to Programming).
• Python II (Introduction to the Language).
• Python III (Advanced Libraries and Data Visualization).
• Fundamental Mathematics for AI (Review of the Fundamentals of Linear Algebra, Calculus, Probability, and Statistics).
FUNDAMENTALS OF MACHINE LEARNING
• Introduction to Machine Learning and Types of Problems (Supervised, Unsupervised, Regression and Classification Models…).
• Model Evaluation and Validation.
• Data Analysis Pipeline: The Importance of Data, Data Acquisition and Management. In-depth Study in Data Visualization.
• Immediate Application Case and Project: Recommendation Engines.
Introduction to NEURAL NETWORKS AND DEEP LEARNING
• Introduction to Artificial Neural Networks.
• Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN).
• Transformers and Large Language Models (LLMs).
• Immediate Application Case and Project: CoPilot Solutions in Professional Services.
AI TOOLS AND PLATFORMS: HANDS ON PROMPTING
• Introduction to AI Tools and Software: Applications and Platforms
• AI Generative Tools:
• Prompt Engineering and Usage Models in Generative AI
• Immediate Application Case and Project
AI DEVELOPMENT AND BUSINESS CAPABILITIES: HANDS ON PROTOTYPING
• Fundamentals of Solution Development
• Prototypping and Business Capabilities Waterfall & Agile Methodolgies
• Prototyping and Platform Integration
FINAL PROJECT
• Preparation of a Project: Documentation, Analysis; Management Tools, insight generation
• Realization and Presentation of Capstone Project: Execution and presentation; Coding and Support Tools.