Instructor-led Generative AI in Business live Online Training Schedule

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Price:
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30,000.00
Duration: 60 Hours

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About your Generative AI in Business Training

Skills Covered

Tools Covered

Generative AI in Business Training Syllabus

Curriculum Designed by Experts

Topics
  • What is Generative AI?
  • History and Evolution of Generative AI
  • Key Concepts and Terminology
Topics
  • Understanding Generative Adversarial Networks (GANs)
  • Variational Autoencoders (VAEs)
  • Transformer Models (GPT)
Topics
  • AI in Marketing and Customer Engagement
  • AI for Product Design and Development
  • AI in Financial Services and Risk Management
  • AI for Operations and Supply Chain Management
Topics
  • Basic Tools and Frameworks
  • Introduction to Python and Libraries
  • Working with AI Platform


Topics
  • Developing AI-driven Marketing Campaigns
  • Creating Personalized Customer Experiences
  • Designing Innovative Products with AI
  • Automating Financial Analysis and Reporting
Topics
  • Ethics in Generative AI
  • Addressing Bias and Fairness
  • Ensuring Data Privacy and Security
  • Regulatory Compliance
Topics
  • Successful Implementations of Generative AI
  • Lessons Learned from Industry Leaders
  • Future Trends and Opportunities

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Why Generative AI in Business 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

Generative AI in Business Training Details

This course offers an in-depth exploration of generative AI, focusing on how businesses can leverage these technologies to improve processes, enhance customer experiences, and create new opportunities. Participants will learn about the practical applications of generative AI in business scenarios, ethical considerations, and best practices for implementation.

  • Gain insights into applying generative AI in business contexts, enhancing your ability to drive innovation and efficiency in various industries.
  • Boost your career opportunities by mastering generative AI for business applications, making you a valuable asset for organizations seeking to leverage AI for competitive advantage.
  • Stay competitive in the business world by acquiring skills in generative AI, ensuring your ability to contribute to data-driven decision-making and strategic initiatives.
  • Develop a strategic understanding of generative AI.
  • Hands-on experience with practical business applications.
  • Improved decision-making skills using AI insights.
  • Access to a network of AI professionals and business leaders.
  • Understanding and implementing generative AI models
  • Developing AI-driven business solutions
  • Ethical considerations and best practices in AI
  • Strategic integration of AI in business processes
  • Python programming language
  • AI frameworks and libraries (TensorFlow, PyTorch, Keras)
  • Business intelligence tools
  • AI platforms (AWS, Azure, GCP)
  • Understand the core concepts and techniques of generative AI.
  • Apply generative AI to solve business challenges.
  • Develop AI-driven solutions for marketing, finance, and operations.
  • Address ethical and regulatory considerations in AI implementation.
  • Business Analysts
  • Marketing Professionals
  • Product Managers
  • Financial Analysts
  • IT Professionals
  • Anyone interested in leveraging AI for business innovation
  • Basic understanding of business processes
  • Familiarity with basic programming concepts (Python preferred but not required)
  • Fundamental and advanced concepts of generative AI
  • Practical applications of AI in business
  • Developing AI-driven business solutions
  • Ethical considerations and best practices in AI
  • A computer with an internet connection
  • Basic programming tools (Python and libraries)
  • Access to AI platforms (AWS, Azure, GCP)
  • Business Analyst
  • AI Strategist
  • Marketing Analyst
  • Product Manager
  • Financial Analyst
  • IT Manager

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