Building with Generative AI Course Overview

Building with Generative AI Course Overview

Unlock the potential of cutting-edge technology with our Building with Generative AI course. This program is designed to teach you the essential principles of generative AI, including its architecture and practical applications. You will learn how to create innovative solutions, enhance creativity, and optimize processes in your projects.

Learning objectives include understanding the algorithms behind generative AI, applying techniques to develop unique content, and exploring real-world applications in various industries. By the end of the course, you will be equipped with skills to effectively implement generative AI in your work, ensuring you stay ahead in the evolving tech landscape. Join us to harness the power of AI for your success!

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1,150

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Course Fee 1,150
Total Fees
1,150 (USD)
  • Live Training (Duration : 24 Hours)
  • Per Participant
  • Guaranteed-to-Run (GTR)
  • Classroom Training fee on request
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  • Live Training (Duration : 24 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 Building with Generative AI

The "Building with Generative AI" course equips professionals with skills to harness AI for creative problem-solving and innovative applications, attracting a diverse audience eager to collaborate with advanced technologies. Target Audience & Job Roles:


  • Data Scientists
  • Machine Learning Engineers
  • AI Developers
  • Software Engineers
  • Product Managers
  • Creative Technologists
  • Marketing Professionals
  • Business Analysts
  • UX/UI Designers
  • IT Consultants
  • Research Scientists
  • Entrepreneurs and Startups
  • Educators and Trainers
  • Students in Tech Fields


Learning Objectives - What you will Learn in this Building with Generative AI?

  1. The "Building with Generative AI" course equips learners with the essential skills to harness generative AI technologies, emphasizing practical applications and innovative solutions to real-world challenges.

  2. Learning Objectives and Outcomes:

  • Understand the foundational concepts of generative AI and its applications.
  • Explore various generative models, including GANs and VAEs.
  • Develop skills to implement generative AI in real-world scenarios.
  • Gain proficiency in programming languages and tools used for generative AI.
  • Analyze ethical considerations and implications of generative AI technologies.
  • Learn to assess and improve the quality of generated outputs.
  • Collaborate on projects that utilize generative AI for creative solutions.
  • Investigate industry case studies showcasing generative AI applications.
  • Develop critical thinking skills to evaluate AI-generated content.
  • Prepare for future advancements and trends in generative AI technology.

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