Hands-On Generative AI: Tools and Techniques
Contact us to book this course
Generative AI
On-Site, Virtual
1 day
Generative AI is the latest hot topic in IT, but how do you take advantage of it in your organization? This course will give you hands-on experience with generative AI tools to improve productivity and output quality. You will explore practical use cases of artificial intelligence and learn to apply them using products for the major vendors and the open-source community.
You will learn to use text generation to write creative content, create reports, respond to emails, and summarize complex documents. This course also discusses how to generate images and music, and you will even see how AI can be used to generate computer code. No matter your job, you will learn tools and techniques to harness this amazing technology.
Learning objectives
In this course, you will:
- Gain experience in how artificial intelligence, machine learning, and generative AI can be used to improve content, productivity, and business processes
- Explore generative AI use cases for text, image, and code generation, chatbots, and search
- Generate text using OpenAI and Google large language models for writing, coding, translation, language processing, and chat
- Create images and content for marketing campaigns, presentations, and more
- Harness AI tools for speech-to-text, text-to-speech, and music generation
- Compare the current offerings for generative AI technologies from the leading providers
- Investigate next steps for responsible AI development
Who should attend
Anyone who wants to learn tools and techniques for integrating generative AI into their work to both improve creative content and productivity.
Course outline
- 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
- 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
- Foundational Models
- OpenAI GPT
- Google PaLM
- Meta AI Llama
- Text Generation Use Cases
- Writing
- Do Now: Writing
- Ideation
- Do Now: Ideation
- Summarization
- Do Now: Summarization
- Classification
- Do Now: Classification
- Sentiment Analysis
- Do Now: Sentiment Analysis
- Code Generation
- Do Now: Code Generation
- Chat
- Do Now: Chat
- Text Generation Tools
- ChatGPT
- Gemini
- Do Now: ChatGPT vs. Gemini
- OpenAI Playground
- Google AI Studio
- Demo: Google AI Studio
- Microsoft Copilot
- Google Gemini
- Demo: Gemini
- Prompt Engineering
- Asking the Right Questions
- Adding Context
- Do Now: Context
- Examples
- Do Now: Examples
- Temperature
- Do Now: Temperature
- Image Generation Use Cases
- How It Works
- Image Generation Use Cases
- Image Generation Tools
- OpenAI DALL-E
- Midjourney
- Stable Diffusion 2
- Do Now: Image Generation
- Speech
- Speech Use Cases
- Tools
- Speech-to-Text
- Demo: Speech-to-Text
- Text-to-Speech
- Demo: Text-to-Speech
- Music
- Music Generation Use Cases
- Music Generation Tools
- Demo: Music Generation
- 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
- 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
