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Generative AI Foundations with igmGuru

A beginner-friendly video path through Generative AI basics, large language models, and practical use cases, built from igmGuru's Gen AI tutorial playlist.

Learn from: the original creator. Original content published on YouTube. DigitalSkillX organizes these public resources into a structured learning path. DigitalSkillX does not claim ownership or partnership.

Lessons
6
Time
About 1 hr 59 min
Level
beginner

Now playing: Introduction to LLM | Generative AI Tutorial for Beginner | Gen AI Course [Updated 2026] - igmGuru

About this path

This path collects igmGuru's introductory Generative AI tutorials in the order they appear in the playlist. It starts with what Generative AI is and how it works, then moves into model types like GANs, VAEs, and Transformers, followed by large language models, comparisons with traditional AI, and a look at how Gen AI can support data validation work. The videos are lecture-style and aimed at newcomers, so expect conceptual explanations rather than hands-on coding. Watch in order for the smoothest progression.

What you will learn

  • Explain what Generative AI is and how it creates text, images, audio, video, and code
  • Describe how generative models such as GANs, VAEs, and Transformers learn patterns from data
  • Understand what large language models are and why they matter for natural language processing
  • Compare Generative AI with traditional AI approaches
  • Identify practical use cases, including how Generative AI can support data validation teams

Who this is for

Beginners who want a structured free introduction before deeper practice.

Curriculum

Section 1: Generative AI Basics

  1. Lesson 1: Generative AI Models Explained: GANs, VAEs & Transformers | Part 3

    Part 3 of the tutorial covers the foundations of generative models, including GANs, Variational Autoencoders (VAEs), and Transformer models. It explains how these models learn patterns from data and how that learning lets them generate new content. Useful as a conceptual grounding before working with specific tools.

    Open on YouTube
  2. Lesson 2: What Is Generative AI? How It Works, Examples & Use Cases | Part 1

    Part 1 introduces Generative AI fundamentals and how generative models create new content. It covers generation across text, images, audio, video, and code, and touches on Large Language Models. A good starting point if you are new to the topic.

    Open on YouTube

Section 2: Large Language Models and Practical Use Cases

  1. Lesson 3: Introduction to LLM | Generative AI Tutorial for Beginner | Gen AI Course [Updated 2026] - igmGuru

    This lesson introduces Large Language Models (LLMs) and their role in natural language processing. It explains that LLMs are trained on large amounts of text data, which lets them understand and generate human-like language. Aimed at beginners with no prior LLM background.

    Open on YouTube
  2. Lesson 4: How Generative AI Helps Data Validation Team | Gen Ai Tutorial for Beginner [Updated 2026]-igmguru

    A short lesson on how Generative AI can help data validation teams. It highlights synthetic data generation, where models create data that resembles real data, among other uses. Practical and example-driven rather than theoretical.

    Open on YouTube
  3. Lesson 5: Generative AI vs Traditional AI | Gen AI Tutorial for Beginner | ChatGPT [Updated 2026] - igmGuru

    This lesson compares Generative AI with traditional AI. It outlines the different approaches, strengths, and limitations of each. Helpful for understanding where Generative AI fits relative to older AI methods.

    Open on YouTube
  4. Lesson 6: Introduction to Generative AI Gen AI | ChatGPT Tutorial | Prompt LLM [Updated 2026] - igmGuru

    An introduction to Generative AI, ChatGPT, prompts, and LLMs. It explains that Generative AI can produce text, imagery, audio, and synthetic data, and frames the recent interest in the field. Serves as a broad orientation for beginners.

    Open on YouTube

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