Generative AI Foundation Training

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Course Highlights

  • Instructor-led Online Training
  • Project Based Learning
  • Certified & Experienced Trainers
  • Course Completion Certificate
  • Lifetime e-Learning Access
  • 24x7 After Training Support

Generative AI Foundation Training Course Overview

Unlock the World of AI with Multisoft Systems’ Foundation certification Course in Generative AI: A Transformative Journey into Machine Learning, Neural Networks, and Creativity at the Intersection of Data and Intelligence. No Prior Coding Experience Needed. Get Ready to Explore, Innovate, and Shape the Future!

Welcome to Multisoft Systems’ Foundation certification Course in Generative AI, an exciting journey into one of the most creative and transformative aspects of artificial intelligence. This course, carefully designed for beginners and non-technical learners, offers a comprehensive exploration of generative models and their wide-ranging applications. You'll begin with understanding the basics of AI and machine learning, with a special emphasis on generative models. Discover various types of Generative AI, including Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Transformer-based models. Then, delve into the magic of AI creativity as you learn how these models generate art, write text, produce music, and much more. Alongside the technical knowledge, you'll also delve into the ethical considerations and societal implications of Generative AI. You'll develop the skills to critically appreciate AI-generated content, understanding both the capabilities and limitations of this burgeoning technology.

This course also offers an optional primer on Python for those interested in the technical side of AI, though no prior coding knowledge is required. Join us on this journey to ignite your innovative spirit, explore AI's potential, and be a part of shaping the future. The Generative AI – Foundation certification course by Multisoft System is an engaging introduction to the world of generative models in artificial intelligence. Designed for beginners and non-technical learners, it provides insights into AI creativity, exploring how AI can generate art, text, music, and more, while discussing its ethical and societal implications

 

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Generative AI Foundation Training Course curriculum

Curriculum Designed by Experts

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Unlock the World of AI with Multisoft Systems’ Foundation certification Course in Generative AI: A Transformative Journey into Machine Learning, Neural Networks, and Creativity at the Intersection of Data and Intelligence. No Prior Coding Experience Needed. Get Ready to Explore, Innovate, and Shape the Future!

Welcome to Multisoft Systems’ Foundation certification Course in Generative AI, an exciting journey into one of the most creative and transformative aspects of artificial intelligence. This course, carefully designed for beginners and non-technical learners, offers a comprehensive exploration of generative models and their wide-ranging applications. You'll begin with understanding the basics of AI and machine learning, with a special emphasis on generative models. Discover various types of Generative AI, including Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Transformer-based models. Then, delve into the magic of AI creativity as you learn how these models generate art, write text, produce music, and much more. Alongside the technical knowledge, you'll also delve into the ethical considerations and societal implications of Generative AI. You'll develop the skills to critically appreciate AI-generated content, understanding both the capabilities and limitations of this burgeoning technology.

This course also offers an optional primer on Python for those interested in the technical side of AI, though no prior coding knowledge is required. Join us on this journey to ignite your innovative spirit, explore AI's potential, and be a part of shaping the future. The Generative AI – Foundation certification course by Multisoft System is an engaging introduction to the world of generative models in artificial intelligence. Designed for beginners and non-technical learners, it provides insights into AI creativity, exploring how AI can generate art, text, music, and more, while discussing its ethical and societal implications

 

  • Understand the fundamental concepts of Artificial Intelligence and Machine Learning, with a special focus on generative models.
  • Identify the different types of Generative AI, including Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Transformer-based models.
  • Comprehend the science behind AI creativity, and how generative models can create art, write text, generate music, and more.
  • Gain insights into the ethical considerations and societal implications of Generative AI.
  • Develop a foundation to critique and appreciate AI-generated content, acknowledging both the capabilities and limitations of current AI technology.
  • Foster a critical understanding of the real-world applications and potential future directions of Generative AI.

Course Prerequisite

  • Basic Computer Skills
  • Interest in AI and Technology
  • Understanding of Basic Mathematics

Course Target Audience

  • Beginners in AI and Machine Learning
  • Creative Professionals
  • Educators
  • Business Professionals
  • General Public

Course Content

  • Application Fields and Potential/ Trends
  • Examples: Face Generation, Video-Transfer, Generated Art, NFTs, Crypto

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  • GANs - Generative Adverserial Networks
  • LLMs - Large Language Models

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  • How Generative AI Models work
  • Excursion on Neural Networks
  • Generative AI Ideation

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  • Text-to-Image
  • Video Generation
  • Game Simulation

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  • Concerns and malicious applications
  • How to read research paper efficiently?
  • Strategy on how to develop your own application using Generative AI

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Generative AI Foundation Training (MCQ) Assessment

This assessment tests understanding of course content through MCQ and short answers, analytical thinking, problem-solving abilities, and effective communication of ideas. Some Multisoft Assessment Features :

  • User-friendly interface for easy navigation
  • Secure login and authentication measures to protect data
  • Automated scoring and grading to save time
  • Time limits and countdown timers to manage duration.
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Hands-on Generative AI Foundation Projects

Our Generative AI Foundation Training course is designed to provide a strong foundation in key concepts with a hands-on learning approach. By working on real-world projects and industry-relevant scenarios, learners gain practical experience and build the confidence to apply best practices in live environments.

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Generative AI Foundation Corporate Training

Employee training and development programs are essential to the success of businesses worldwide. With our best-in-class corporate trainings you can enhance employee productivity and increase efficiency of your organization. Created by global subject matter experts, we offer highest quality content that are tailored to match your company’s learning goals and budget.

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Customized Training

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Be it schedule, duration or course material, you can entirely customize the trainings depending on the learning requirements

360º Learning Solution

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Learning Assessment

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Certification Training Achievements: Recognizing Professional Expertise

Multisoft Systems is the “one-top learning platform” for everyone. Get trained with certified industry experts and receive a globally-recognized training certificate. Some Multisoft Training Certificate Features :

  • Globally recognized certificate
  • Course ID & Course Name
  • Certificate with Date of Issuance
  • Name and Digital Signature of the Awardee
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Generative AI Foundation Training FAQ's

Generative AI refers to a subset of artificial intelligence models that can create new data resembling the data they were trained on. This can be images, text, music, or any other form of content.

GANs consist of two networks: a generator and a discriminator. The generator tries to produce fake data, while the discriminator attempts to distinguish between real and fake data. Through iterative training, the generator becomes better at creating realistic data.

Generative AI has applications in various fields, including creating art and music, generating realistic video game environments, drug discovery, data augmentation, and generating deepfakes.

Yes, deepfakes are generated using a specific type of GAN. They manipulate audio and video to make it appear as if someone said or did something they didn't.

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