Introduction to Generative AI Course Overview

Introduction to Generative AI Course Overview

Overview of the Introduction to Generative AI Course

Dive into the fascinating world of Generative AI with our comprehensive course designed for beginners. You will gain a solid understanding of key concepts and techniques that power cutting-edge technologies like machine learning and deep learning. Our learning objectives focus on enabling you to explore various applications of generative models, including text and image generation. By the end of the course, you will not only have a theoretical foundation but also practical skills to implement generative AI concepts in real-world scenarios. Perfect for anyone looking to stay ahead in the rapidly evolving IT landscape, this course is your first step toward mastering AI technology.

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  • Live Training (Duration : 16 Hours)
  • Per Participant
  • Classroom Training fee on request

♱ Excluding VAT/GST

You can request classroom training in any city on any date by Requesting More Information

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Target Audience for Introduction to Generative AI

Introduction to Generative AI is a foundational course designed to equip learners with essential knowledge and skills in artificial intelligence, focusing on generative techniques and applications.


  • Data Scientists
  • AI/ML Engineers
  • Software Developers
  • Product Managers
  • Business Analysts
  • Creative Professionals (e.g., Designers, Marketers)
  • Research Scientists
  • IT Professionals
  • Students in Computer Science or related fields
  • Technology Enthusiasts
  • Digital Content Creators
  • Entrepreneurs in Tech Industry
  • Automation Specialists
  • Cybersecurity Analysts


Learning Objectives - What you will Learn in this Introduction to Generative AI?

Introduction:
The Introduction to Generative AI course equips students with foundational knowledge and practical skills in generative models, enabling them to harness AI's creative capabilities across various applications.

Learning Objectives and Outcomes:

  • Understand the fundamental concepts of generative AI and its significance.
  • Explore various generative models, including GANs and VAEs.
  • Learn to implement basic generative algorithms using programming frameworks.
  • Evaluate the ethical considerations and implications of generative AI.
  • Develop skills to create and manipulate images, text, and audio using AI.
  • Analyze real-world applications of generative AI in different industries.
  • Gain practical experience in training and fine-tuning generative models.
  • Measure and improve the performance of generative AI systems.
  • Collaborate effectively on projects involving generative AI techniques.
  • Prepare for advanced studies or careers in AI-driven creative fields.

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