Course Description

An Introduction to Generative AI Learning Path is crucial for several reasons. It provides a foundational understanding of this transformative technology, enabling individuals to navigate its complexities and harness its potential effectively. By demystifying the underlying concepts and showcasing real-world applications, this learning path empowers learners to make informed decisions about incorporating Generative AI into their personal or professional lives. It also equips them with the necessary knowledge to critically evaluate the ethical implications and societal impacts of this rapidly evolving field, fostering responsible and beneficial adoption of Generative AI.

Course Objectives

Upon the successful completion of this course, each participant will be able to:

  • Explain the core concepts and technologies behind generative AI.
  • Identify real-world applications in text, image, audio, and video generation.
  • Use popular tools like ChatGPT and DALL·E to create AI-generated content.
  • Apply prompt engineering and build simple AI-powered projects.
  • Recognize ethical risks and responsible use of generative AI.
  • Demonstrate knowledge through a hands-on mini project.

Who Should Attend?

This course is designed for Data Scientists, Machine Learning Engineers, Software Developers, Business Analysts, Product Managers, Researchers & Anyone interested in understanding the fundamentals of Generative AI.

Course Agenda

Day 1

Registration, Welcome & Introduction

Pre-Test

Foundations of Generative AI

  • Introduction to Artificial Intelligence and Machine Learning
  • Understanding Generative AI: Definition and Concepts
  • Key technologies: GANs, VAEs, Transformers
  • Use cases across industries: art, text, music, code, synthetic data
  • Introduction to major players: OpenAI, Google DeepMind, Stability AI, etc.

Day 2

Language Models and Text Generation

  • How language models work: Training, Tokenization, Attention mechanisms
  • Overview of GPT (Generative Pre-trained Transformer)
  • Prompt engineering basics
  • Use cases: Chatbots, content generation, summarization, translation

Day 3

Image, Audio, and Video Generation

  • Intro to image generation with diffusion models (DALL·E, Midjourney, Stable Diffusion)
  • Audio generation: music and voice cloning (e.g., ElevenLabs, Suno AI)
  • Video generation: text-to-video tools and challenges
  • Ethical considerations: deepfakes, misinformation

Day 4

Building with Generative AI Tools

  • Exploring platforms: Runway ML, Canva AI, Notion AI, Microsoft Copilot
  • Integrating AI into existing workflows (text, image, email, code)
  • Intro to APIs and simple AI scripting (OpenAI API, Hugging Face)

Day 5

Ethics, Risks, and the Future of Generative AI

  • Ethical concerns: bias, copyright, hallucination, privacy
  • Regulatory landscape: AI governance, global frameworks (EU AI Act, etc.)
  • The future of generative AI: multimodality, autonomous agents

Post-Test

End of the Course

Assessment Methodology

All courses conducted by EdTech will begin with a Pre-evaluation and end with a Post-evaluation. The instructor will evaluate the knowledge and skills of the participants according to the feedback given by participants. This will help to recognize the benefits and the level of knowledge gained by participants through the course.

Training Methodology

Facilitated by a highly qualified specialist, who has extensive knowledge and experience; this program will be conducted using extensively interactive methods, encouraging participants to share their own experiences and apply the program material to real-life work situations in order to stimulate group discussions and improve the efficiency of the subject coverage.

Percentages of the total course hour classification are:

  • ​40% Theoretical lectures, Concepts and approach
  • 20% Motivation to develop individual skill and Techniques
  • 20% Case Studies and Practical Exercises
  • 20% Topic General Discussions and interaction

Course Manual

Participants will be provided with comprehensive presentation material as reference manual. This presentation material is a compilation of core valuable information, references, presentation methods and inspiring reading which will be used as a part of the material guide.

Course Certificate

At the completion of the course, all participants who successfully accomplished the required contact hours will receive an EdTech Training Participation Certificate as a testimony to their commitment to professional development and further education.

Why Edtech ?

  • Industry Experienced; Internationally Qualified Trainers
  • Hands-on Practical Sessions & Assignments
  • Intensive Study materials
  • Flexible Schedules
  • Realistic training methodology
  • High-Quality Training in Affordable Course Fees
  • Achievement Certificate, as approved by the Ministry of Education (Abu Dhabi Center for Technical and Vocational Education Training - ACTVET), HABC, AWS, IAOSHE, SHRM, etc.