Generative AI for Developers Course Overview

Generative AI for Developers Course Overview

Unlock the potential of Generative AI with our tailored course for developers. This program covers essential topics like machine learning techniques, natural language processing, and model training, enabling participants to harness the power of AI in their projects.

By the end of the course, learners will achieve key objectives, including the ability to design and implement generative models effectively. Practical applications include creating innovative solutions such as chatbots, content generation tools, and image synthesis.

Join us to enhance your skills and position yourself at the forefront of AI technology in development, making real-world impacts through cutting-edge solutions.

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525

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Course Fee 525
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525 (USD)
  • Live Training (Duration : 8 Hours)
  • Per Participant
  • Guaranteed-to-Run (GTR)
  • Classroom Training fee on request

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  • Live Training (Duration : 8 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 Generative AI for Developers

Generative AI for Developers is a specialized course designed to equip IT professionals with the skills to leverage AI technologies in software development and innovation.


  • Software Developers
  • Data Scientists
  • Machine Learning Engineers
  • AI Researchers
  • DevOps Engineers
  • Product Managers
  • Technical Architects
  • System Analysts
  • IT Consultants
  • Business Analysts
  • Technology Enthusiasts
  • Entrepreneurs in Tech
  • QA Engineers


Learning Objectives - What you will Learn in this Generative AI for Developers?

Introduction:
The Generative AI for Developers course equips learners with essential skills and knowledge to harness generative AI technologies, focusing on practical applications for software development.

Learning Objectives and Outcomes:

  • Understand the foundational concepts of generative AI and its applications.
  • Gain proficiency in working with popular generative AI tools and frameworks.
  • Implement generative AI models effectively in software projects.
  • Explore ethical considerations and best practices in AI development.
  • Develop skills in fine-tuning pre-trained models for specific tasks.
  • Learn to evaluate and optimize the performance of generative AI systems.
  • Acquire knowledge of data preparation and augmentation techniques.
  • Familiarize with use cases of generative AI in various industries.
  • Collaborate on team projects to apply generative AI solutions.
  • Stay updated on emerging trends in generative AI technology and innovation.

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