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AI for Business: RAG for Beginners

Welcome to "AI for Business: RAG for Beginners", a 3-hour course designed to demystify artificial intelligence (AI) and its application in business through Retrieval-Augmented Generation (RAG) systems. Tailored for business professionals and entrepreneurs, this course will help you understand how AI can enhance business operations and decision-making.

What You Will Learn

• Fundamentals of AI and RAG Systems: Understand the basic principles of AI and how RAG systems work.
• Business Applications: Explore real-world use cases of RAG in various industries.
• Implementation Basics: Learn how to start using RAG technologies in your business.
• Future Trends: Gain insights into emerging trends in AI and RAG technologies.

Why This Course is Important

Understanding AI and RAG systems is crucial for staying competitive in today’s dynamic marketplace. This course equips you with the knowledge and skills to leverage AI for improving business processes and innovation.

Who Should Attend

• Business Professionals: Looking to enhance their understanding of AI.
• Entrepreneurs: Interested in gaining a competitive edge through AI.
• Managers and Executives: Exploring AI integration into business strategies.
• Anyone New to AI: Curious about AI applications in business contexts.

• Interactive and Practical Learning
Engage with hands-on activities and group discussions to apply what you learn directly in real-world scenarios.

• Real-World Case Studies
Explore successful examples of RAG applications in various industries to understand their impact and effectiveness.

• Beginner-Friendly
Benefit from clear explanations and step-by-step guidance, making complex concepts accessible to newcomers.

• Actionable Insights
Gain practical knowledge and skills to start implementing AI solutions in your business right away.

Course Duration: 180 minutes

Course Structure

Morning / Afternoon Session	Duration (Minutes)	Module	Description	Activities and Examples
09:00 - 09:15 / 14:00 - 14:15	15	Welcome and Course Introduction	Introduction to the course objectives, agenda, and key topics to be covered.	- Brief overview of AI’s role in business and introduction to RAG systems.
09:15 - 09:45 / 14:15 - 14:45	30	Module 1: Understanding AI and Its Business Impact	Overview of AI fundamentals and its transformative impact on various industries.	- Presentation on AI technologies and trends. - Discussion on the benefits of AI in business.
09:45 - 10:15 / 14:45 - 15:15	30	Module 2: Introduction to Retrieval-Augmented Generation (RAG)	Basics of RAG systems, including core components such as information retrieval and text generation.	- Explanation of how RAG systems work, with examples of retrieval and generation processes. - Interactive discussion on potential business applications.
10:15 - 10:30 / 15:15 - 15:30	15	Break	-	-
10:30 - 11:15 / 15:30 - 16:15	45	Module 3: Practical Applications of RAG in Business	Exploration of real-world case studies demonstrating the application of RAG systems in various business scenarios.	- Case Study 1: Customer support automation using RAG. - Case Study 2: Personalized marketing content creation. - Case Study 3: Automated report generation.
11:15 - 11:45 / 16:15 - 16:45	30	Module 4: Getting Started with RAG in Your Business	Introduction to tools and technologies for implementing RAG systems. Basic setup and integration guidelines for business use.	- Step-by-step guide on setting up a simple RAG system. - Group activity: Designing a basic RAG solution for a hypothetical business scenario.
11:45 - 12:15 / 16:45 - 17:15	30	Module 5: Future Trends and Next Steps	Discussion on emerging trends in AI and RAG technologies and how they are expected to evolve in the future.	- Overview of future AI developments and strategic planning for AI adoption. - Q&A session to address participant questions and provide resources for further learning.
12:15 - 12:30 / 17:15 - 17:30	15	Q&A and Course Wrap-Up	Final summary of key takeaways from the course, along with additional resources for continued learning in AI and RAG technologies.	- Open floor for participant questions and discussion. - Summary of the course and closing remarks.

*** Change of courses content is subjected to change without prior notice. ***

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