Understanding AI, ML, and Generative AI for Beginners Course Overview

Understanding AI, ML, and Generative AI for Beginners Course Overview

Explore the Understanding AI, ML, and Generative AI for Beginners course at Koenig Solutions, designed for those eager to dive into the world of artificial intelligence. This course covers the foundational concepts of Artificial Intelligence (AI), Machine Learning (ML), and Generative AI, empowering learners to grasp their significance and applications.

Learning objectives include recognizing key AI principles, differentiating between AI and ML, and understanding how generative AI creates new data. By the end of the course, participants will be equipped to apply these concepts in real-world scenarios, making informed decisions in tech and innovation. Join us to build a solid foundation in AI and its transformative potential!

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  • Live Training (Duration : 3 Hours)
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  • 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 Understanding AI, ML, and Generative AI for Beginners

Understanding AI, ML, and Generative AI for Beginners equips participants with foundational knowledge in artificial intelligence and machine learning, making it ideal for individuals eager to enter the tech-driven landscape.


  • Aspiring Data Scientists
  • Software Developers
  • Business Analysts
  • Product Managers
  • Marketing Professionals
  • IT Professionals
  • Entrepreneurs
  • Educators and Trainers
  • Students in Technology Fields
  • Professionals Seeking Career Transition
  • Research Analysts
  • UX/UI Designers
  • Content Creators
  • Project Managers


Learning Objectives - What you will Learn in this Understanding AI, ML, and Generative AI for Beginners?

Introduction

The "Understanding AI, ML, and Generative AI for Beginners" course equips students with foundational knowledge of artificial intelligence and machine learning concepts, focusing on generative AI applications and their impact on various industries.

Learning Objectives and Outcomes

  • Grasp the fundamental concepts of Artificial Intelligence (AI) and Machine Learning (ML).
  • Understand the differences between AI, ML, and generative AI.
  • Explore real-world applications of AI and ML technologies.
  • Learn the basic algorithms used in machine learning.
  • Familiarize with data preprocessing and its significance in ML.
  • Recognize ethical considerations and challenges in AI and ML.
  • Gain insights into the future trends of AI and its evolving landscape.
  • Identify various tools and frameworks for developing AI applications.
  • Delve into generative AI techniques and their creative implications.
  • Develop critical thinking skills related to AI and ML innovations.

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