Instructor-led Mastering Generative AI Tools Online live Online Training Schedule

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Price:
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50,000.00
Duration: 80 Hours

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About your Mastering Generative AI Tools Online Training

Skills Covered

Tools Covered

Mastering Generative AI Tools Online Training Syllabus

Curriculum Designed by Experts

Topics
  • Overview of Generative AI
  • Evolution of Generative AI Tools
  • Key Concepts and Terminology
Topics
  • Generative Adversarial Networks (GANs)
  • Variational Autoencoders (VAEs)
  • Transformer Models (GPT-3, GPT-4)
Topics
  • Installing and Configuring AI Frameworks
  • Introduction to Python and Essential Libraries
  • Working with Jupyter Notebooks and IDEs
Topics
  • Building and Training GANs
  • Implementing VAEs for Data Generation
  • Using Transformer Models for Text and Language Tasks
Topics
  • AI in Art and Creative Industries
  • AI for Text Generation and Content Creation
  • AI in Image and Video Synthesis
  • AI for Music and Audio Generation
Topics
  • Developing APIs for Generative Models
  • Deploying Models on Cloud Platforms
  • Building User Interfaces for AI Applications
Topics
  • Ethics in Generative AI
  • Addressing Bias and Fairness
  • Ensuring Data Privacy and Security
Topics
  • Successful Implementations of Generative AI
  • Lessons Learned from Industry Leaders
  • Future Trends and Innovations

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Why Mastering Generative AI Tools Online Training From Xpertised Learning

Live Interactive Classes

  • Top-Tier Trainers
  • Real Time Guidance by Industrial Experts
  • In Class Doubt Clearance

Resource Access

  • Life Time Access to Resource Library

Support

  • One-to-One Lab and Training Assistance
  • Help Desk Support
  • Doubt Clearance in Real-time

Project Based Learning

  • Labs and Learning Based from Industrial Experts
  • Learning Based on Project Scenarios

Certification

  • Xpertised Learning Training Certificate
  • Certificate of Completion

Labs

  • Cloud based Labs *Labs based on course requirement only

Mastering Generative AI Tools Online Training Details

This comprehensive course covers the latest generative AI tools, focusing on their practical applications and integration into real-world projects. Participants will learn to use popular AI frameworks and libraries to build, train, and deploy sophisticated generative models. The course includes hands-on projects and case studies to ensure practical understanding and skill development.

  • Gain comprehensive skills in using generative AI tools, enhancing your ability to create advanced AI-driven applications and solutions.
  • Boost your career opportunities by mastering generative AI tools, making you a sought-after candidate for roles in AI development and research.
  • Stay ahead in the tech industry by acquiring expertise in generative AI, ensuring your ability to leverage the latest advancements in AI technology.
  • Comprehensive understanding of generative AI tools and techniques.
  • Hands-on experience with real-world projects and applications.
  • Improved problem-solving and development skills.
  • Access to a network of AI professionals and experts.
  • Building and training advanced generative models
  • Using AI frameworks and libraries (TensorFlow, PyTorch)
  • Integrating generative AI into real-world applications
  • Addressing ethical and security considerations in AI
  • Python programming language
  • TensorFlow and PyTorch frameworks
  • Jupyter Notebooks
  • Cloud platforms (AWS, Azure, GCP)
  • Master advanced generative AI tools and techniques.
  • Develop and deploy sophisticated generative models.
  • Apply generative AI to solve real-world problems.
  • Ensure ethical and secure use of generative AI.
  • AI Enthusiasts
  • Data Scientists
  • Machine Learning Engineers
  • Software Developers
  • IT Professionals
  • Anyone interested in mastering generative AI tools
  • Basic knowledge of programming (Python preferred)
  • Familiarity with machine learning concepts
  • Advanced concepts and techniques of generative AI
  • Practical skills in building and deploying generative models
  • Applications of generative AI across various industries
  • Ethical considerations and best practices in AI
  • A computer with an internet connection
  • Python and related libraries installed
  • IDEs like Jupyter Notebook or PyCharm
  • AI Developer
  • Machine Learning Engineer
  • Data Scientist
  • AI Consultant
  • Software Developer

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