Access Demo Class Recording

Summary

This was a demonstration class for a Microsoft Co-Pilot and Artificial Intelligence training program conducted by Dinesh, an AI instructor. The session covered the program roadmap and objectives, with Dinesh explaining that the training would focus on equipping participants with skills to apply AI in business processes like financial accounting, project management, operations, and risk management. He detailed the difference between large language models (LLM) like ChatGPT and Claude versus small language models (SLM) or specific AI agents tailored for particular business needs. The program will cover two main domains: first, mastering AI tools including ChatGPT, Claude, Gemini, and Microsoft Copilot for personal productivity across Office applications, and second, creating specialized AI agents for enterprise business processes. Dinesh emphasized that participants would need to subscribe to premium versions of these tools, costing around 200 Qatari rials monthly, to fully benefit from the training. The class included participants from Saudi Arabia and Sri Lanka, with some joining remotely due to mobility constraints.

AI Training Program Introduction

Dinesh introduced a Microsoft Co-Pilot and Cloud Co-Work artificial intelligence training program focused on equipping participants with skills to apply AI in business processes like financial accounting, project management, and operations. The program will cover using tools like Microsoft Copilot, ChatGPT, and creating AI agents for specific operations. Dinesh explained the program's structure as a live, interactive training with case studies tailored to different industries, and he welcomed participants from Sri Lanka, Saudi Arabia, and Riyadh, noting that more participants were expected to join.

Artificial Intelligence Definition Discussion

The team discussed the definition of artificial intelligence, with participants sharing their perspectives. Samir provided a clear definition describing AI as giving computers the ability to think, analyze, and provide answers. The instructor elaborated that AI is the capability of machines to mimic human capabilities and perform tasks that would otherwise require human intervention, comparing it to the early development of electricity where the focus was on understanding and applying the technology rather than how it was generated.

AI Applications and Training Planning

The team discussed the parallels between electricity and artificial intelligence, emphasizing how both have evolved from generation to application across different sectors. They highlighted various use cases for AI, including personal productivity, industrial automation, and specific business processes, and introduced different large language models (LLMs) like GPT, Claude, and Gemini, each suited for different tasks such as quantitative and qualitative analysis. The discussion included a case study demonstrating how Claude was used to automate legal contract review, resulting in significant cost savings and improved accuracy. The team outlined the objectives of an upcoming training program focused on understanding when and how to apply different AI tools in specific domains, with plans to cover digital marketing applications in future sessions.

Large and Small Language Models

The team discussed the difference between large language models (LLM) and small language models (SLM), with the instructor explaining that LLMs can answer a wide range of questions like ChatGPT, while SLMs are specialized for specific tasks like invoice processing or HR recruitment. The instructor outlined the training program roadmap, which will cover using AI tools effectively, including ChatGPT, Claude, and Gemini, followed by implementing these tools in Microsoft's co-pilot product.

Microsoft Copilot Training Program

The team explained that Microsoft Copilot integrates large language model capabilities (like ChatGPT or Claude) into everyday Microsoft Office applications, allowing users to perform tasks like creating risk registers, analyzing data, and generating dashboards within Excel, Word, PowerPoint, Outlook, and Teams. The training program will focus on teaching participants to become experts in using Copilot and LLMs across these applications over the first month, with a prerequisite of paying for premium subscriptions at $20 per tool. The team emphasized that premium versions are necessary for meaningful productivity, as free tools are insufficient for practical AI implementation.

AI Training Program Overview

The team discussed a comprehensive AI training program focused on creating specific language models (SLMs) rather than large language models (LLMs) for business processes. The program will cover five main areas over 3 months: learning AI tools (5 weeks), creating AI agents for specific business functions, enterprise business process automation, AI Agentic framework development, and machine learning models for forecasting. The instructor demonstrated practical applications including an invoice analysis AI agent for Alphardhan Exchange's 14 branches and a HR recruitment agent, showing how these can process specific data and make decisions independently. The training sessions will be held every Saturday from 2-5 PM, with recorded sessions and personalized support available for participants.