GENAI-OPT: Generative AI for Daily Work Optimization

Upon completing the course, participants should be able to:

• Understand the foundational technologies poweringGenerative AI, including Deep Learning, Neural Networks, and Large Language Models.
• Demonstrate proficiency in utilizing ChatGPT capabilities and strategize domain-specific fine tuning for custom GPT models.
• Employ AI-driven solutions to generate custom formulas andautomate tasks within spreadsheet applications.
• Harness Generative AI's potential to generate slide content,design suggestions, and custom images for presentations.
• Utilize AI tools to optimize content for search engines and craftimpactful ad copies and content outlines.
• Comprehend AI's role in scripting, editing, and producing marketing videos while ensuring adherence to copyright regulations.
• Evaluate AI's role in automating marketing funnels, CRMprocesses, chatbot development, ERP integration, and order management systems.
• Assess ethical and legal considerations in Generative AI,including data privacy, fairness, transparency, and compliance frameworks.

• Demonstrates a comprehensive understanding offoundational AI technologies and their applications in Generative AI.
• Successfully prepares and utilizes diverse data sources, like PDFs, to create custom GPT models.
• Demonstrates proficiency in utilizing AI to automate tasks, formulas, and macros within spreadsheet applications.
• Effectively uses Generative AI tools to generate slide content,designs, and custom images for presentations.
• Demonstrates the ability to optimize marketing content creation using AI across various platforms.
• Proficiency in utilizing AI for scripting, editing, and producing marketing videos within copyright regulations.
• Utilizes AI tools to automate diverse workflows, including task management, form processing, and project coordination.
• Understands and implements ethical considerations in AI applications, including data privacy and transparency.

• Senior Management
• Team Leader

Module 1: Introduction to Generative AI Technologies

• Overview of the different types of AI in the market.
• Diving into the core technologies powering Generative AI, including Deep Learning, Neural Networks, and Large Language Models.
• Understanding Generative AI's role in Natural Language Processing (NLP), Computer Vision, and its potential in optimizing daily work routines.
• Showcase the typical pricing model of AI utilisation and the associated ROI for each use case
• Overview of existing AI frameworks and tools specifically tailored for Generative AI applications.

Module 2: ChatGPT and Custom GPT Bots

• Overview of ChatGPT: Introducing the concept of ChatGPT and its capabilities in conversational AI.
• Understanding prompting strategies for ChatGPT
• Discussing the importance of domain specific fine-tuning and data preparation for creating custom GPT models from various data sources such as PDF.
• Guided exercise on training a basic custom GPT model for a simplified chatbot scenario.
• Understand the current limitations of Large Language Model AI

Module 3: Supercharging Spreadsheets with AI

• Use AI to generate custom formulas
• Demonstration on using AI to write custom macros for Excel and Google Sheet
• Perform data cleaning, analysis, visualization, and extracting insights using AI functionalities.
• Exploring ways to automate repetitive tasks, such as automated data entry, pattern recognition, and predictive analysis.
• Understand the current limitations of utilising AI in spreadsheets

Module 4: AI as an Alternative to Templates

• Introduction to Generative AI and its role in generating slide content, design suggestions, and layout structuring.
• Using AI to generate custom images for presentations.
• Practical exercises using recommended Generative AI tools for converting excerpts from sample business proposals into PowerPoint slides.
• Understand the current limitations of utilising AI for image generation.

Module 5: Creating Stunning Designs for Marketing

• Understanding the role of AI in transforming copywriting, blog creation and social media ad design.
• Exploring AI tools for generating compelling copy and optimizing blogs for search engines.
• Demonstrations showcasing AI's assistance in crafting effective ad copies, emails, SEO friendly blog topics, and content outlines.
• Hands-on exercises using AI platforms to create visually appealing and impactful social media ad designs.
• Understand the current limitations of utilising AI in content creation.

Module 6: AI-Powered Video Creation

• Understanding how AI assists in scripting, editing, and producing marketing videos.
• Learn about image and video copyright and the role of AI in curating content.
• Hands-on exercises using AI platforms to create and edit marketing videos efficiently.
• Understand the current limitations of utilising AI in video creation.

Module 7: Automate Your Workflows to Elevate Your Productivity

• Understand the differences between RPA and Generative AI.
• Learn the fundamentals of system integration and where AI sits in the software ecosystem.
• Exploring AI tools that streamline form processing, task management, SOP documentation and project coordination.
• Showcase AI-driven tools for automating marketing funnels and CRM processes.
• Discussing the role of AI in chatbot development, ERP integration, and order management systems.

Module 8: Data Privacy, Ethical and Legal Considerations in Generative AI

• Introduction to data privacy concerns in AI driven content generation.
• Exploring the importance of safeguarding sensitive business data used in AI-powered tools for presentation creation.
• Ethical imperatives in the development and deployment of Generative AI for daily work optimization.
• Ensuring fairness, transparency, and accountability in Generative AI systems applied to work routines.
• Navigating legal compliance and regulatory frameworks specific to Generative AI integration in the workplace.
• Recommendations on data handling, permissions, and user access control to mitigate privacy risks