Generative AI Cards Course
With AI Design Sprint activities and OpenAI tutorials to turn your ideas into reality
Background
Generative AI Cards
Course overview
Course curriculum
Course introduction
Introduction to GenAI
Introduction to Large Language Models and Open AI's tools
Prompting and best practices
Introduction to the GenAI Cards
GenAI Cards category: writes text and creates documents
Use cases & tutorial: formulate texts, emails, or other written content
Use cases & tutorial: write stories
GenAI Cards category: understands and analyzes text
Use cases & tutorial: understand sentiment
Use cases & tutorial: verify information
GenAI Cards category: provides, simplifies and sorts information
Use cases & tutorial: summarize text
Use cases & tutorial: find the latest information on the internet
GenAI Cards category: solves analytical problems
Use cases & tutorial: perform math
Use cases & tutorial: visualize data
GenAI Cards category: helps with decision making
Use cases & tutorial: get assistance with investment decisions
Use cases & tutorial: get assistance with educational choices and career decisions
GenAI Cards category: chats with and adapts to the user
Use cases & tutorial: get answers to questions on various topics
Use cases & tutorial: practice communication skills
GenAI Cards category: helps with learning and personal development
Use cases & tutorial: experience coaching
Use cases & tutorial: get assitance with academic learning and skill development
GenAI Cards category: provides personal assistance
Use cases & tutorial: plan and book your travel
GenAI Cards category: offers productivity support
Use cases & tutorial: write short-term plans
GenAI Cards category: Assists with technical tasks (including programming)
Use cases & tutorial: write computer code
GenAI Cards category: assists with creative tasks
Use cases & tutorial: create strategic designs and maps
Use cases & tutorial: customize content based on preferences
GenAI Cards category: connects to apps to give them superpowers / Supercharges you tech stack
Use cases & tutorial: streamline workflows across systems
GenAI Cards category: sees and explains images
Use cases & tutorial: visually analyze data and extract insights
Use cases & tutorial: boost your medical understanding
GenAI Cards category: creates images and video
Use cases & tutorial: develop concept art for media and entertainment
Use cases & tutorial: create content and digital art
GenAI Cards category: understands speech, has a voice and creates music
Use cases & tutorial: listen to and transcribe audio content into text
Use cases & tutorial: convert audio from any language into text
GenAI Concept Development Canvas
Modality Selection Canvas: Find The Right Prompt Activity For Your GenAI Concept
Text Canvas: Generating Text and Voice Responses
Image Explanation Canvas: Explaining images Using Chat GPT Vision
Data Analysis Canvas: Extracting, Transforming, Visualising and Predicting data using Advanced Data Analysis (ADA)
Image Generation Canvas: Generating images using DALL-E
Outlook to the full AI Design Sprint™
Going technical
FAQ
This course is for anyone curious about GenAI. No prior technical knowledge or background is required. this course welcomes participants with varying levels of expertise—whether you're a complete novice or already have some knowledge in the field of GenAI. The course offers a wholistic perspective and is aimed at non-technical audiences, as all OpenAI implementation steps will be showcased through their UIs.
Go through the AI Cards Course at your own pace. The total duration is about 4,5-5 hours.
Gain a comprehensive overview of GenAI and understand its practical applications in the context of your job. This is precisely where GenAI becomes invaluable. By the end of the course, you'll have cultivated GenAI application concepts and mastered the art of bringing these concepts to life using OpenAI's tools. The course, enriched with best practices and guided activities, walks you through advanced prompting techniques, ensuring a well-rounded understanding and practical application of GenAI.
For further questions, give Michael a shout at [email protected]
Course facilitator: Sabine Joseph (PhD)
Course facilitator: Matteo Castiello