Introduction to Generative AI
Contact us to book this course
Generative AI
On-Site, Virtual
1/2 day
AI is everywhere in the news, but when you push beyond the headlines, most businesses are still left wondering if and how they can practically benefit from the many promises that generative AI seems to offer.
This half-day course explores the practical application of generative AI and how it can improve organizational efficiency and productivity across various business use cases, from data analysis to customer interaction to content/product ideation and creation.
Using a combination of live instructor presentations and demonstrations, you will be exposed to several key generative AI offerings, including Google Cloud’s Vertex AI, OpenAI’s ChatGPT, Amazon’s Bedrock, and Azure’s OpenAI service.
Learning objectives
In this course, you will:
- Understand what generative AI does and why it’s important
- See practical generative AI uses for ideation, text summarization, text generation, image generation, code generation, chatbots, and search
- Compare the current offerings for generative AI technologies from the leading providers
- Investigate next steps for responsible AI development
Who should attend
Anyone interested in understanding how to extract business value from generative AI. This course is intended as a high-level introduction suitable for technical and non-technical leaders, managers, and personnel.
Course outline
- What’s the big deal, and why now?
- Artificial Intelligence
- AI vs. ML vs. GenAI
- Machine Learning: Learning by Example
- Large Language Models
- Generative AI: From Classification to Creation
- From Recognition to Understanding
- Areas of Greatest Impact
- Product Design and Development
- Customer Service
- Marketing
- Retail
- Financial Services
- Medical
- Manufacturing
- Movers and Shakers
- OpenAI
- Microsoft
- Amazon
- Open-Source Solutions
- Will investing time and effort in this bleeding-edge technology be worth it?
- Machine Learning
- Object Detection
- Labeling
- Classification
- Sentiment Analysis
- Content Generation
- Writing
- Ideation
- Summarization
- Image Generation
- Music Generation
- Prompt Design
- Prompts
- Getting to That First Draft Faster
- Adding Context to Prompts
- Providing Examples
- Enterprise Services
- Enterprise Search
- Chatbots
- Voicebots
- Speech-to-Text
- Text-to-Speech
- Translation
- Software Development
- Code Generation
- Codebots
- Cool tech, but show me the money
- Company Benefits
- Worker Productivity
- Improved Quality of Output
- Business Process Improvement
- Regulatory Compliance
- Product Development
- Customer Care
- Connecting Clients to What They Need
- Customer Service AI
- Enterprise Search
- GenAI Tools for Employees
- Google Gemini
- Microsoft 365 Copilot
- GitHub Copilot
- ChatGPT
- The class was interesting; what should I do when I get back to work?
- Choosing AI Projects
- Value vs. Effort
- Customer-Facing vs. Internal Applications
- Buy vs. Build
- Developer Training
- Responsible AI
- Responsible AI Principles
- Responsible AI Practices
- Privacy
- Data Security
- Know the Risks
- Hallucinations
- Bias
- Prompt Hacking
- Copyright and Intellectual Property
