AI High Level
The course “DSAI100 – AI High Level” is designed to provide an in-depth understanding of advanced concepts in artificial intelligence (AI), machine learning (ML) and deep learning (DL). Students will explore real-world applications of AI and how to use advanced tools to develop innovative solutions. The course includes theoretical sessions and hands-on labs that will allow students to gain hands-on experience in using AI technologies.
CODE: DSAI100
Category: Corso Intelligenza Artificiale
Teaching Methodology
The course includes educational laboratories in which each student will be able to work to complete training exercises, providing practical experience in using the tools for each of the topics covered.
Prerequisites
- No prerequisites are required.
Below is an overview of the course contents:
Day 1
- Introduction to Artificial Intelligence
- Python Basics for AI
- Introduction to Machine Learning
- Types of Training
- Introduction to Deep Learning
Day 2
- AI/ML/DL Real-World Use Cases
- Generative AI vs ML Comparison
- Introduction to Generative AI as a Services
- GenAI for Text and Code
Day 3
- GenAI Real-world Use Cases
- Generative AI on-prem
- Prompting Concepts
- RAG (Retrieval Augmented Generation)
- Kubeflow
- GenAI for Images and Voice
At the end of the course, participants will be able to:
- Understand the fundamental concepts of AI, ML and DL.
- Developing Python applications for AI.
- Implement machine learning and deep learning techniques.
- Distinguish between different types of training and choose the most suitable one.
- Using cloud services to implement GenAI solutions.
- Build and optimize AI models for text, code, images, and voice.
- Apply prompting concepts to improve AI model performance.
- Use tools like Kubeflow to orchestrate machine learning workflows.
- Implement real-world AI and GenAI use cases.
Duration – 3 days
Delivery – in the classroom, on-site, remotely
PC and SW requirements :
- Internet connection
- Web browser, Google Chrome
- Zoom
Tongue
- Instructor : Italian
- Labs : English
- Slides : English
