LEVEL
Introductory

DURATION
8 hours

TRAINER
CIM4.0

PRICE

Macro Topics

Introduction to Generative Artificial Intelligence

• Background and impact of AI in the corporate world
• Historical evolution and basic concepts

Insight into LLMs

• Definition, architecture and operation
• Prompt engineering techniques and practical applications
• Limitations and ethical aspects

RAG (Retrieval Augmented Generation)

• Principles and advantages of the RAG paradigm
• Techniques for collecting, indexing and integrating business knowledge
• Workflow and operational tools

AI Agents for Automation

• Definition and Role of AI Agents
• Applications in business process automation
• Strategies for monetization and case studies

Interactive Workshop and Case Studies

• Analysis of real-world scenarios and best practices
• Q&A session and brainstorming for customization of AI solutions

Trainee’s Profile

The course is for everyone: professionals, companies, managers, technical figures, startups, industry enthusiasts

Pre-Requirements

No advanced technical prerequisites are required: the course is structured to be accessible even to those new to the world of AI.

Objectives

- Provide a comprehensive understanding of the fundamentals of Artificial Intelligence and its impact on business.

- Illustrate the potential and practical applications of language models (LLM) in the business context.

- Show how to leverage the RAG paradigm to integrate and enhance internal knowledge.

- Demonstrate how to implement AI Agents for process automation and generation of new revenue streams.

- Stimulating a strategic vision to drive digital transformation in the enterprise.

More info

English language available upon request.
The subscription must be carried out within the fifth working day preceding the course starting date.