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Mastering AI Tools: Implementation and Practical Applications
Course Description
Overview
Building on the foundation from DSAI-101 Introduction to Mastering AI Tools, this course does a deep dive into in-depth implementation of AI across various scenarios, from simple rewrites to managing complex data and integrating with office tools. This course demonstrates how anyone can implement solutions well beyond their training, while providing guard rails and expectations. Multiple labs have been generated to support all manner of roles. Supplemental materials include carefully crafted prompts to support those roles. Students willObjectives
- Build a tool that lets AI tools teach about themselves
- Explore the evolving landscape of artificial intelligence, highlighting current trends, leading innovators, and the practical realities shaping the future of AI technology
- Craft sophisticated prompts that yield high-quality, nuanced responses from AI. Explore techniques to iteratively refine prompts for improved outcomes
- Harness AI tools for generating and manipulating visual content, focusing on the integration of AI with graphic design principles
- Explore the integration of AI tools for creative writing, translation, and text-to-speech functionalities.
Prerequisites
- Successful completion of DSAI-101 Introduction to Mastering AI Tools or equivalent knowledge
Topics
- Deep Dive, Feature Review, Vertical Market and Future Developments.
- OpenAI ChatGPT
- Google Genisis
- Microsoft CoPilot
- Instructor-led walkthrough to create an aggregator to ensure that keeping on top of changes for so many AI tools is easy and centralized.
- Re-Learning how to Learn
- Mapping the AI Landscape: Current Trends and Future Directions
- Forerunners in AI: Companies and Individuals Leading the Way
- Breakthrough Technologies and Their Implications for Society
- Debunking Myths: The Realities of AI's Capabilities and Limitations
- Ethical Considerations and the Future of Work in an AI-Driven World
- Global Perspectives on AI Development and Regulation
- Labs:
- Analyzing Trends: Creating a Timeline of AI Milestones
- Debating the Future: Role-Playing Different Perspectives on AI Ethics and Regulation and Future
- Project: Designing an AI Solution for World Solution
- Crafting Complex Prompts: Strategies for constructing prompts that guide AI to generate more accurate, relevant, and insightful responses.
- Conditional Logic in Prompts: Using if-then statements within prompts to create more dynamic and context-aware responses.
- Prompt Engineering for Specific Domains: Techniques for tailoring prompts to specialized fields such as legal, medical, or technical domains.
- Iterative Refinement: Methods for refining prompts based on initial AI responses to achieve desired outcomes.
- Labs:
- Complex Prompt Construction Workshop: Participants will engage in exercises to craft prompts aimed at eliciting specific types of responses from AI, focusing on complexity and depth.
- Dynamic Response Generation: In this lab, students will use conditional logic to create prompts that adapt to various inputs, observing how subtle changes in wording can alter AI responses.
- Domain-Specific Prompt Engineering: Participants will select a domain of interest and develop tailored prompts to address complex questions or tasks within that field, leveraging specialized vocabulary and concepts.
- Iterative Prompt Refinement: Using a series of exercises, students will learn to refine their prompts based on AI feedback, aiming for precision and relevance in the responses obtained.
- Overview of AI Tools for Image Generation (e.g., DALL·E)
- Principles of Graphic Design in AI-Generated Content
- Customizing AI-Generated Images for Specific Projects
- Ethical Considerations in AI-Generated Visuals
- Advanced Techniques: Combining Text and Image AI for Comprehensive Designs
- Labs:
- Creating Custom Logos and Graphics with AI
- Developing a Visual Campaign using AI-Generated Images
- Designing an Integrated Visual Identity with AI Tools
- Creating Professional Videos using ChatGPT and Custom GPTs
- Generating Creative Content with AI (e.g., Poems, Stories)
- Exporting AI-Generated Texts to Microsoft Word
- Using Microsoft Word's Translation Tools to Convert Text
- Text-to-Speech: Bringing AI-Created Content to Life
- Cross-Cultural Communication: Understanding Nuances in Translation
- Labs:
- Craft a Poem with ChatGPT and Export to Word
- Translate the AI-Generated Poem into Spanish Using Word
- Use Text-to-Speech in Word to Read the Poem Aloud
- Embed VBA Code in the Word document to lookup the language of choice for the user and auto-read aloud in their language on document startup.
- Exporting Chatbot Data: Methods for extracting data from chatbot platforms and preparing it for analysis.
- Data Cleansing in Excel: Techniques for identifying and correcting errors in chatbot data, including duplicates, inconsistencies, and missing values.
- Data Manipulation Techniques: Advanced Excel functions and formulas for transforming chatbot data into actionable insights.
- PivotTables and Charts: Utilizing Excel's PivotTable and chart features to summarize and visualize chatbot interactions.
- Automating Data Processes: Introduction to Excel macros and VBA scripting for automating repetitive data cleansing and manipulation tasks.
- Labs:
- Exporting and Preparing Chatbot Data: Students will practice exporting data from a chatbot platform and importing it into Excel, preparing the dataset for analysis.
- Data Cleansing Workshop: This lab focuses on cleaning a chatbot dataset, teaching students to identify and correct common data issues using Excel's built-in tools.
- Advanced Data Manipulation Exercises: Participants will use functions, formulas, and data analysis techniques to uncover insights from chatbot data, including segmentation and trend analysis.
- PivotTable and Data Visualization: Students will create PivotTables and charts to summarize chatbot data, learning to visualize key metrics and interaction patterns.
- Automating Tasks with Macros: An introduction to writing simple macros and VBA scripts to automate the data cleansing and manipulation process in Excel.
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