Generated from prompt:
Create a detailed PowerPoint presentation titled 'Artificial Intelligence Digital Literacy (AIDL)' for a 3-day, 12-hour professional course. The presentation should have engaging visuals, bullet points, and summaries for each topic. The content should follow the structure below: --- **Course Overview** - Objective: Equip professionals with knowledge and skills to leverage AI tools effectively. - Duration: 12 hours (3 days) - Benefits: Enhance decision-making and improve operations across business functions (finance, marketing, HR, IT, and management). --- **Day 1: Foundations of AI and AI Literacy** 1. **Introduction: Computer Science, Intelligence, and AI** - What is Computer Science? - Understanding Intelligence - Definition and Evolution of Artificial Intelligence 2. **AI Literacy Concepts and Global Context** - Importance of AI Literacy in today's world - Ethical implications and global trends - Role of AI in different sectors 3. **Core AI Concepts: Data, Machine Learning, and Types of AI** - What is data and how AI uses it - Introduction to Machine Learning and examples - Types of AI: Narrow, General, and Super AI 4. **Session 1: Language AI – ChatGPT & Text Tools** - Overview of ChatGPT and language AI tools (+8 tools overview) - 4 practical activities using language AI for business tasks 5. **Recap and Q&A (45 minutes)** --- **Day 2: Hands-On with Generative AI Tools** 1. **AI Fields and Real-World Applications** - Use of AI in healthcare, finance, marketing, HR, and IT - Case studies of AI success stories 2. **Session 2: Different LLM Use Cases** - 7 use cases of Large Language Models (LLMs) - Business presentation and financial analysis examples 3. **Session 3: Image AI (+3 tools + 3 activities)** - Introduction to image generation tools (e.g., DALL·E, Midjourney, Canva AI) - 3 guided creative activities 4. **Audio and Video AI Tools** - Tools like Synthesia, Pictory, and ElevenLabs - Practical use cases for marketing and training 5. **Recap and Q&A (30 minutes)** --- **Day 3: Advanced AI Tool Integration** 1. **Prompt Engineering (2 Use Cases)** - What is prompt engineering and why it matters - Two applied examples 2. **Embedded AI (2 Tools)** - Integrating AI into daily apps and workflows - Two leading embedded AI tools 3. **Use of Tools** - Examples: Search AI, Canvas, Deep Research tools 4. **Vibe Coding (1 Tool + 1 Activity)** - Introduction to no-code and vibe coding - Hands-on activity to create a simple app 5. **AI Workflow & Process Automation (2 Tools)** - Workflow automation using AI assistants - Two tools for automating repetitive tasks 6. **Agentic AI (1 Tool)** - What is Agentic AI and how it enables autonomous decision-making 7. **Wrap-up and Q&A (30 minutes)** - Key takeaways and final reflection --- **Audience Profiles** - Top and Middle Managers - Finance Professionals - Marketing Teams - HR Managers - IT Specialists - General Managers & Professionals **Prerequisites** - Basic computer literacy - Business operations understanding - Excel familiarity - Openness to learn new technologies
This 3-day, 12-hour course equips professionals in finance, marketing, HR, IT, and management with foundational AI knowledge, hands-on generative tools, and advanced integration skills to boost decisi
The slide features the title "Artificial Intelligence Digital Literacy (AIDL)" as its main heading. It includes a subtitle indicating this is a 3-day professional course.
3-Day Professional Course
The Course Overview Agenda slide outlines a professional development course on AI, starting with an introduction to objectives, duration, and benefits. It then details the three-day structure—covering AI foundations on Day 1, hands-on generative AI tools on Day 2, advanced integration topics on Day 3—and concludes with wrap-up reflections and Q&A.
Overview of objectives, duration, and benefits for professionals.
Cover basics of AI literacy, core concepts, and language tools.
Hands-on sessions with LLMs, image, audio, and video AI.
Explore prompt engineering, automation, and agentic AI applications.
Summarize key takeaways and address final questions. Source: Artificial Intelligence Digital Literacy (AIDL)
This section header slide introduces Day 1 of the program, titled "Foundations of AI," as the first section (01). It features a subtitle that highlights key AI concepts and literacy, along with a timeline for the session flow.
01
Introducing key AI concepts and literacy with session flow timeline
Source: AIDL Course Material
This slide introduces computer science as the study of computation and information processing, while defining intelligence through comparisons between human cognition and artificial systems. It further explains AI as machines simulating human intelligence, tracing its evolution from Alan Turing's test to modern deep learning advancements.
Source: Artificial Intelligence Digital Literacy (AIDL) Course
AI literacy is crucial for making informed decisions in a technology-driven world, encompassing ethical issues such as AI bias and privacy concerns. Globally, AI is being rapidly adopted and is transforming key sectors like healthcare and finance.
Data serves as the foundation for AI by training models to identify patterns, while Machine Learning allows systems to learn from data without explicit programming, as seen in personalized recommendation systems like Netflix suggestions. The slide outlines types of AI, including Narrow AI for specific tasks like voice assistants, General AI for human-like intelligence across domains, and Super AI that surpasses human capabilities, though it raises ethical concerns.
| Data Basics & Machine Learning | Types of AI |
|---|---|
| Data is the foundation of AI, used to train models by identifying patterns. Machine Learning (ML) enables systems to learn from data without explicit programming. Examples include recommendation systems like Netflix suggestions, improving user experience through personalized content. | Narrow AI (ANI) handles specific tasks, like voice assistants. General AI (AGI) aims for human-like intelligence across domains. Super AI (ASI) surpasses human capabilities, potentially revolutionizing society but raising ethical concerns. |
Source: Artificial Intelligence Digital Literacy (AIDL) Course
This slide introduces Session 1 on Language AI, focusing on ChatGPT and other text tools, including key options like Bard, Claude, Grammarly AI, and Jasper, plus additional ones such as Copy.ai, Writesonic, and Rytr. It outlines four hands-on activities: drafting professional emails, summarizing reports, brainstorming business ideas, and generating marketing content.
The slide recaps Day 1 by highlighting key takeaways on AI foundations, literacy including ethics and global roles, core concepts like data and machine learning, and practical activities with tools like ChatGPT. It closes with a thank-you message, a call to action for sharing questions and insights, and an open floor for a 45-minute Q&A session.
**Key Day 1 Takeaways:
Closing Message: Thank you for exploring AI basics today!
Call to Action: Share your questions and insights now.**
Open Floor for Questions (45 minutes)
Source: Artificial Intelligence Digital Literacy (AIDL)
This section header slide introduces Day 2 of the Artificial Intelligence Digital Literacy (AIDL) program, focusing on hands-on exploration of generative AI tools. It highlights practical applications and interactive sessions to engage participants with these technologies.
02
Exploring practical applications and interactive sessions with AI tools
Source: Professional Course Presentation
This slide explores key AI applications across industries, including healthcare for diagnostics and predictive care, finance for fraud detection and algorithmic trading, marketing for personalization and behavior analysis, HR for recruiting automation and talent matching, and IT for process automation and cybersecurity. It also highlights case studies such as IBM Watson in healthcare and successful AI implementations in stock trading.
Session 2 explores various use cases for Large Language Models (LLMs), including chatbots for automating customer service, translation for global communication, code generation to speed up software development, sentiment analysis to evaluate feedback, Q&A systems for instant knowledge access, content creation for marketing materials, and summarization for quick document insights. The slide highlights practical examples such as using GPT for business presentations and LLMs for financial analysis.
This slide introduces Session 3 on Image AI, covering foundational tools like DALL·E, Midjourney, and Canva's AI features. It outlines three hands-on activities: generating logos with AI, creating marketing visuals and graphics, and building product mockups using prompts.
Source: Image from Wikipedia article "Generative artificial intelligence"
The slide introduces key AI tools for audio and video creation, including Synthesia for realistic video avatars, Pictory for converting text to videos, and ElevenLabs for advanced voice synthesis. It highlights practical applications such as enhancing marketing videos for better engagement, developing efficient employee training modules, and personalizing audio content for targeted user experiences.
Day 2 of the session covered AI applications in key sectors, LLM use cases for business, image AI tools and activities, and audio/video AI for marketing and training. The slide concludes with an engaging wrap-up message, inviting participants to share questions and insights during the discussion time to reflect and connect.
**Day 2 Summary
Closing Message: Engaging explorations complete!
Call-to-Action: Share questions and insights now.**
Discussion Time: Reflect and Connect
Source: Artificial Intelligence Digital Literacy (AIDL) Course
This section header slide introduces Day 3 of the Artificial Intelligence Digital Literacy (AIDL) program, focusing on advanced AI tool integration. It features the subtitle "Exploring advanced integration workflows and practical AI tool applications" to outline the day's emphasis on hands-on AI strategies.
Day 3
Exploring advanced integration workflows and practical AI tool applications
Source: Professional Course Presentation
Prompt engineering involves crafting precise inputs to optimize AI outputs, enhancing efficiency and accuracy in interactions. The slide highlights two use cases—generating detailed business reports with precise queries and inspiring engaging marketing content with creative prompts—emphasizing that mastering prompts maximizes AI tool effectiveness.
Embedded AI enables seamless integration into daily apps and workflows, delivering real-time assistance to boost productivity and streamline operations across business functions. The slide highlights two key tools: Google Bard within Google Workspace for enhanced collaboration, and Microsoft Copilot in Office for efficient task automation.
Source: Artificial Intelligence Digital Literacy (AIDL) Course - Day 3
The slide on "Use of Tools" recommends exploring AI-powered options like Perplexity for quick information retrieval, Canvas AI for design and visual creation, and Deep Research tools such as Consensus for data analysis. It emphasizes applying these tools to streamline business operations and decision-making, with integration across sectors like finance, marketing, and HR.
Source: Artificial Intelligence Digital Literacy (AIDL)
This slide introduces vibe coding through no-code platforms like Bubble.io, enabling intuitive app building without writing code. It includes a hands-on activity to create a visual task tracker app.
Source: No-code development
This slide introduces AI workflow and process automation using two key tools: Zapier AI for seamless app integrations and Make.com for email automation and data entry. It highlights benefits like automating repetitive tasks, reducing manual errors, and boosting operational productivity to streamline business workflows.
Agentic AI empowers AI agents to make autonomous decisions, with Auto-GPT serving as a key tool for chaining tasks and solving problems. This approach minimizes the need for ongoing human intervention in complex workflows while boosting efficiency in business operations and automation.
The conclusion slide highlights key takeaways on advanced AI integration for seamless workflows and automation tools to enhance efficiency and innovation. It reflects on the audience's AI literacy journey for confident leadership, closes with a message to empower careers through AI insights, and calls for implementing one new AI tool this week to transform daily operations.
**Key Takeaways:
Final Reflections: Your AI literacy journey equips you to lead with confidence in a digital future.
Closing Message: Empower your career with AI insights.
Call to Action: Implement one new AI tool this week to transform your daily operations.**
Source: Artificial Intelligence Digital Literacy (AIDL)
The slide outlines key audience profiles targeted for AI adoption across various business functions. It includes top and middle managers for strategy, finance professionals for analytics, marketing teams for campaigns, HR managers for talent and operations, IT specialists for integration, and general managers for overall efficiency.
Source: Target audiences for the AIDL course: Top/Middle Managers, Finance Pros, Marketing Teams, HR Managers, IT Specialists, General Managers & Professionals.
The slide titled "Prerequisites" outlines the essential requirements for engaging with the content, including basic computer literacy and an understanding of business operations. It also emphasizes familiarity with Excel and an openness to new technologies.
Source: Artificial Intelligence Digital Literacy (AIDL)
Explore thousands of AI-generated presentations for inspiration
Generate professional presentations in seconds with Karaf's AI. Customize this presentation or start from scratch.