About SNA Technologies:
SNA Technologies Inc. (SNAT), established in 2006 and headquartered in Michigan, USA, is a global leader in IT solutions and training. We specialize in providing AI-driven training and consulting services to enhance the technical capabilities of IT professionals worldwide. As a recognized member of The Open Group, we contribute to the advancement of global standards in enterprise architecture and IT solutions. Our team of experienced professionals is dedicated to delivering cutting-edge AI education for executives and professionals alike.
Why Choose SNA?
The Generative AI for Executives course provides an executive-level overview of Generative AI, focusing on practical applications and strategic decision-making. Participants will learn about the key concepts of Generative AI, large language models (LLMs), and optimization techniques, all tailored to help executives lead AI-driven transformations in their organizations.
Key reasons to choose SNA for your Generative AI training:
– High-level insights into AI, tailored for executives.
– Real-world applications and use cases of Generative AI.
– Understanding of the latest trends in LLMs and their potential for businesses.
– 8 hours of concentrated training, with a focus on strategic thinking and decision-making.
Course Approach
The Generative AI for Executives course is designed to provide a high-level understanding of the fundamental concepts and business applications of Generative AI. Participants will learn how Generative AI, including LLMs, RAG (Retrieval-Augmented Generation), and Vector Databases, can enhance business operations, decision-making, and customer engagement. The course is designed to empower executives to make informed decisions about integrating AI into their organization’s strategy.
Summary
The Generative AI for Executives course offers a comprehensive yet concise introduction to the core concepts of Generative AI and its applications in business. Attendees will leave with a strong understanding of how to leverage AI to drive growth, improve operational efficiency, and enhance customer experiences.
Learning Goals
By the end of the course, participants will be able to:
– Understand the foundational concepts of Generative AI and its strategic applications.
– Identify real-world use cases where Generative AI can add value to business operations.
– Gain insights into large language models (LLMs) and how they can be optimized for specific business needs.
– Understand the role of Retrieval-Augmented Generation (RAG) and Vector Databases in AI-driven systems.
– Explore the potential of Large Action Models in enhancing business decision-making processes.
Topics Covered (8 Hours)
- Basic Concepts of Generative AI
– Introduction to Generative AI and its impact on businesses.
– Types of generative models and their business applications.
– Understanding the transformative power of AI in different industries.
- Use Cases of Generative AI
– Overview of real-world use cases across various industries.
– How Generative AI is revolutionizing customer service, marketing, content creation, and more.
– Exploring the business benefits of adopting Generative AI technologies.
- Basic Concepts of Large Language Models (LLM)
– Understanding LLMs and their role in natural language processing (NLP).
– Overview of popular LLMs such as GPT and BERT and their business applications.
– How LLMs are changing the way businesses interact with customers.
- Optimization of LLM
– Strategies for optimizing LLMs for business-specific needs.
– Enhancing LLMs for better efficiency, accuracy, and cost-effectiveness.
– Key considerations for implementing optimized LLM solutions in business operations.
- Retrieval-Augmented Generation (RAG)
– Introduction to RAG and how it enhances the performance of Generative AI models.
– Applications of RAG in retrieving external data to generate more relevant and accurate content.
– Exploring the business value of integrating RAG into AI-driven systems.
- Vector Databases
– Understanding the role of Vector Databases in modern AI systems.
– How Vector Databases enable efficient storage and retrieval of high-dimensional data.
– Business applications of Vector Databases in Generative AI solutions.
- Fine-Tuning of LLM
– Overview of fine-tuning LLMs for specific business needs and use cases.
– How fine-tuning can improve accuracy and relevance in business applications.
– Key approaches for fine-tuning LLMs in the corporate environment.
- Introduction to Large Action Models
– Introduction to Large Action Models (LAM) and their potential for business decision-making.
– Applications of LAM in real-time action generation and automation.
– Strategic use of LAM to drive operational efficiencies and improve business outcomes.
What Attendees Get
Course registration includes:
– Executive-level course materials and workbooks.
– Practical insights and case studies for business applications.
– Access to a network of professionals and experts in the field of Generative AI.
– Certificate of Completion upon successful course completion.
Who Will Benefit?
This course is ideal for:
– Executives and senior leaders looking to understand the strategic value of Generative AI.
– Business leaders exploring how AI can drive growth and innovation.
– IT decision-makers responsible for integrating AI technologies into their organization.
– Entrepreneurs and executives interested in staying ahead of the curve with the latest AI advancements.
Prerequisites
No formal prerequisites are required. However, familiarity with business technology strategies and a basic understanding of AI will be beneficial to maximize the value of this course.
Professional Development Units (PDUs)
Participants may be eligible to apply for PDUs towards continuing education requirements with relevant certification bodies.
Course Features
- Lectures 0
- Quizzes 0
- Duration 1 day
- Skill level All levels
- Language English
- Students 0
- Assessments Yes
