Generative AI Essentials

Description

This introductory course offers a comprehensive overview of generative AI technologies, use cases, and impacts. Participants gain foundational knowledge and hands-on experience with state-of-the-art generative AI tools.

Indicative Duration: 2 training hours
*Duration is adjusted based on the final scope and the target audience.


Scope

Intro to Generative AI
  • Generative vs Descriminative ML models
  • Generative AI theoretical background
  • Neural Network architectures and training schemes

Learning Objectives

Upon completion of the course participants will be able to:

  1. Understand the fundamental concepts behind generative AI and its key models (e.g., GANs, VAEs, transformers).
  2. Recognize the main applications of generative AI across text, image, audio, and video domains.
  3. Explore the ethical considerations and challenges involved in generative AI deployment.

Target Audience

  • Roles: Software Developers, Data Analysts, Business Analysts, IT Professionals, Technical Consultants
  • Seniority Level: Junior to Mid-Level Professionals seeking foundational understanding of Generative AI concepts

Prerequisite Knowledge

  • No programming or technical background required

Delivery Method

Sessions can be delivered via the following formats:

  • Live Online โ€“ Interactive virtual sessions via video conferencing
  • On-Site โ€“ At your organizationโ€™s premises
  • In-Person โ€“ At Code.Hubโ€™s training center
  • Hybrid โ€“ A combination of online and in-person sessions

 

The training methodology combines presentations, live demonstrations, hands-on exercises and interactive discussions to ensure participants actively practice AI in realistic work scenarios.

Date

On Demand

Organizer

Code.Hub
Email
[email protected]