Applied Artificial Intelligence & Machine Learning

Introduction to Applied Artificial Intelligence & Machine Learning

• AWS Platform

• Python Introduction
  • Python installation
  • Python libraries
  • Pandas, Numpy, Matplotlib, and Seaborn libraries
  • Tuples and lists
  • Conditional and loop structures
  • Functions
• AI Management
  • AI projects and exercises
  • AI business value model and AI project lifecycle
  • AI architectures and technologies

• AI Data Modeling
  • Data importing, representation, and visualization
  • Data cleaning, transformation, and integration
  • Exploratory data analysis (EDA)

Advanced Artificial Intelligence & Machine Learning: Foundations and Applications

• Machine Learning
  • Unsupervised machine learning
  • Supervised machine learning
  • Applications using AWS Platform
• Time Series Forecasting
  • Traditional statistical models (Holt.Winters, ARIMA/SARIMA, ARIMAX/SARIMAX)
  • Deep learning models (CNN, RNN, LSTM, GRU)
• Computer Vision and Gen AI
  • Foundations of Computer Vision
  • Deep Learning for Vision (CNNs, Vision Transformers)
  • Generative Models for Vision (Diffusion, GANs)
  • Multimodal and Vision–Language Models
  • Real-World Applications and Deployment of Vision Systems
• NLP and Gen AI
  • Fundamentals of Natural Language Processing (NLP)
  • Language Models and Large Language Models (LLMs)
  • Fine-tuning and evaluation of LLMs
  • Generative AI on AWS
  • Applications using the AWS Platform
• Agentic AI
  • Foundations of agentic AI
  • Agent frameworks and architectures
  • Agentic design patterns
  • Applied agent development
  • Production deployment and monitoring
• AI Deployment & Monitoring
  • Introduction to MLOps
  • End-to-end AI system architecture
  • Model deployment on AWS
  • Monitoring and observability
  • Open-source MLOps tools
  • Final practical project
•  AWS Platform

Applied Artificial Intelligence in The Real-World

• AI & Machine Learning Project
  • End-to-End Artificial Intelligence Project in an Enterprise Context
• Group Presentation of AI & Machine Learning Project