Unlock the Power of Generative AI Course Overview

Generative AI is revolutionizing data science by enabling machines to create entirely new data, from realistic images to creative text formats. This course equips data scientists with the fundamentals and hands-on experience to leverage Generative AI for various applications. 

After Completing this Generative AI, students will be able to:

  • Explain the core concepts and applications of Generative AI.
  • Differentiate between Discriminative and Generative AI.
  • Master the art of Prompt Engineering to guide AI content creation.
  • Understand and utilize Recurrent Neural Networks (RNNs) for sequence modeling.
  • Implement and fine-tune Transformer models for Natural Language Processing (NLP) tasks.
  • Work with Large Language Models (LLMs) for text generation.
  • Build Generative Adversarial Networks (GANs) to generate and manipulate images.
  • Employ Variational Autoencoders (VAEs) for image representation learning.
  • Apply Generative AI for creative image synthesis and explore its ethical considerations.

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Key Features

  • 8 engaging modules with in-depth explanations and practical exercises.
  • Hands-on Labs for real-world implementation of Generative AI techniques.
  • Industry-relevant curriculum aligned with cutting-edge advancements.
  • Expert-led instruction from experienced data science professionals.
  • Interactive learning environment to foster knowledge sharing and collaboration.

Who can participate in the training?

  • Data Scientists
  • Machine Learning Engineers
  • NLP Professionals
  • Researchers interested in Generative AI applications

Prerequisites of Generative AI Training

  • Basic understanding of Python programming.
  • Familiarity with Machine Learning concepts.
  • Why Choose CloudThat as your training partner?

    • Industry-recognized instructors with proven expertise in Generative AI.
    • Comprehensive and up-to-date curriculum reflecting the latest advancements.
    • Hands-on, practical learning approach for immediate skill application.
    • Interactive learning environment to enhance knowledge retention.
    • Career guidance and support to help you excel in the field.
    • Global network of alumni for professional development opportunities.

    Learning Objectives of the Course:

    • Gain a thorough understanding of Generative AI concepts and applications.
    • Master techniques for data-driven content creation using Generative AI.
    • Develop skills to build and implement Generative AI models for various tasks.
    • Learn to fine-tune pre-trained models for specific purposes.
    • Explore the ethical considerations and responsible use of Generative AI.

    Course Modules: Download Course Outline

    This module provides an overview of generative AI, exploring its core concepts and applications.

    This module dives into RNNs, a type of neural network essential for sequence modeling tasks.

    Here, you'll learn about transformers, a powerful architecture becoming increasingly prominent in sequence modeling.

    This module explores language modeling, a technique for generating text, and discusses LLMs, a type of generative AI with advanced capabilities.

    This module covers GANs, a type of generative AI where two neural networks compete to create realistic outputs.

    Here, you'll explore deep generative models specifically designed for computer vision tasks like image generation.

    This module focuses on applications of generative AI in creating new images or modifying existing ones.

    This module explores the ethical implications of generative AI, covering potential biases and responsible development practices.

    Certification details:

    • Upon successful completion, participants will receive a certificate of course completion from CloudThat.
    • This certificate will validate your skills and knowledge in Generative AI for data science.

    Course Fee

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    Course ID: 20235

    Course Price at

    $499 + 0% TAX
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    Frequently Asked Questions

    Generative AI expertise is in high demand across various industries. You can pursue careers in data science, machine learning, computer vision, NLP, and research.

    A basic understanding of Python programming and familiarity with Machine Learning concepts are recommended.

    Yes, the course includes hands-on labs designed to simulate real-world applications of Generative AI.

    A computer with a decent graphics card and basic data science software installations (Python libraries) will suffice.

    We encourage you to check our website for any ongoing scholarship or financing options.

    There will be assignments and quizzes throughout the course to assess your understanding of the concepts.

    You will have access to the course materials and recordings for a specific period (mentioned on the website) after completion.

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