Generative AI Fundamentals Skills you will learn

  • Understanding Generative Models
  • Data Generation Techniques
  • Latent Spaces
  • Model Evaluation and Optimization
  • Ethical and Responsible AI

Who should learn this Generative AI Fundamentals course?

  • AI Engineer
  • Data Scientist
  • Deep Learning Engineer
  • NLP Engineer
  • AI Consultant

What you will learn in this Generative AI Fundamentals course?

  • Generative AI Fundamentals

    • Introduction

      01:18
      • Introduction
        01:18

    • Lesson 1: Generative AI for Beginners

      13:55
      • Generative AI for Beginners
        13:55

    • Lesson 2: RAG (Retrieval-Augmented Generation)

      27:51
      • RAG (Retrieval-Augmented Generation)
        27:51

    • Lesson 3: RAG vs Fine-Tuning

      05:09
      • RAG vs Fine-Tuning
        05:09

    • Lesson 4: What are AI Agent and LLM Agent?

      13:52
      • What are AI Agent and LLM Agent?
        13:52

    • Lesson 5: Generative AI vs Agentic AI

      05:30
      • Generative AI vs Agentic AI
        05:30

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Why you should learn Generative AI Fundamentals?

$826.74 billion

Expected size of the global AI market by 2030.

$133K+ (USA) | INR 12.4 LPA

Average Salary of an AI Engineer annually.

About the Course

This Generative AI Fundamentals Course provides an in-depth introduction to generative models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders). Learn the key concepts, applications, and techniques behind creating data using AI, including image, text, and music generation. The course covers the theory, architecture, and hands-on implementation of generative models using popular frameworks like TensorFlow and PyTorch. Ideal for beginners, this course equips you with essential skills to explore the rapidly growing field of generative AI.

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FAQs

  • What Generative AI is?

    Generative AI refers to machine learning models that generate new data, such as images, text, or music, by learning patterns and structures from existing data.

  • What will I learn in this Generative AI Fundamentals course?

    This course covers the basics of generative models, including GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and other generative techniques. You'll also learn how to implement these models for practical applications.

  • Do I need prior experience with AI to take this Generative AI Fundamentals course?

    Basics of machine learning is helpful, this course is designed for beginners and doesn't require advanced knowledge of AI or deep learning.

  • What are the applications of Generative AI?

    Generative AI is applicable in various fields such as creating realistic images, generating synthetic data for training, enhancing video game graphics, writing content, and more.

  • What tools and frameworks will I use in this Generative AI Fundamentals course?

    You'll gain hands-on experience using popular machine learning frameworks like TensorFlow and PyTorch to build and train generative models.

  • How long does it take to complete this Generative AI Fundamentals course?

    This Generative AI Fundamentals course is 2 hours long.

  • Will I work on any real-world projects in this Generative AI Fundamentals Course?

    Yes, you will work on practical projects to generate content using GANs and VAEs, providing you with valuable experience for applying generative AI in real-world scenarios.

  • What career opportunities can this Generative AI Fundamentals course open up?

    This course can lead to job opportunities in fields such as AI research, machine learning engineering, data science, and roles focused on developing creative AI tools in industries like gaming, entertainment, and design.

  • What is the prerequisite knowledge for this Generative AI Fundamentals course?

    A basic understanding of Python programming and some familiarity with machine learning concepts will be beneficial, but the course is designed to be accessible to beginners.

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  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, OPM3 and the PMI ATP seal are the registered marks of the Project Management Institute, Inc.