Generative AI Training Overview
Generative AI (Gen AI) is a type of artificial intelligence that can create new content, such as text, images, music, and audio, by learning from existing data. This 1-day Generative AI training course gives students a comprehensive introduction to Gen AI, covering its core concepts, applications, and limitations.
Location and Pricing
Accelebrate offers instructor-led enterprise training for groups of 3 or more online or at your site. Most Accelebrate classes can be flexibly scheduled for your group, including delivery in half-day segments across a week or set of weeks. To receive a customized proposal and price quote for private corporate training on-site or online, please contact us.
In addition, some courses are available as live, instructor-led training from one of our partners.
Objectives
- Use generative AI tools to enhance productivity and creativity in various professional and personal projects
- Make informed decisions about implementing generative AI solutions by understanding their capabilities, limitations, and ethical considerations
- Critically evaluate the authenticity and potential biases in AI-generated content to ensure responsible and ethical use
- Communicate confidently about generative AI concepts, terminology, and applications with technical and non-technical stakeholders
- Identify opportunities for generative AI to optimize processes and solve problems
- Understand the potential impact of generative AI on employment, society, and the environment
- Generate creative content, explore latent spaces, and detect biases in AI-generated output
Prerequisites
No prior experience is presumed.
Outline
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Understanding Generative AI
- The Big Picture
- ML is a subset of AI
- Deep Learning is a subset of ML
- GenAI is a subset of Deep Learning
- Understanding inference, influence, prompt, completion, and feedback
- Understanding Prompt Engineering
- Understanding AI Models
- Foundation Model
- Generative Models
- Large Language Models
- The Mechanism Behind Generation
- Machine Learning
- Deep Learning
- Artificial Neural Networks
- Training a Model
- The Balance Between Randomness and Training
- Hyperparameter Tuning
- Tokens and Tokenization
- Hands-on Activity: Latent Space Exploration
- Tokens and Model Usage Pricing
- Generative AI options
Real-world Uses of Generative AI
- Data Analytics using Generative AI
- Sentiment Analysis using Generative AI
- Music, Movies, and Art
- Create with AI Art Tools
- Game Design and Virtual Worlds
- 3D Modelling and Prototyping
- Fashion and Apparel
- Blogs, Articles, and Scripts
- Hands-on Activity: Scriptwriting with AI
- Advertising and Marketing
- Deepfakes and Their Implications
Ethical Considerations and Limitations of AI
- Ethical Considerations
- Authenticity and Misinformation
- Deepfake detection workshop
- Bias and Fairness
- Intellectual Property
- Consent and Privacy
- Transparency and Accountability
- Impact on Employment
- Environmental Impact
- Safety and Security
- Regulation and Governance
- Public Perception and Trust
- Hands-on Activity: Bias detection workshop
- Limitations and Challenges of GenAI
- Training Needs Data
- Computational Costs
- Quality and Realism
- Detection of AI-Generated Content
Conclusion
Training Materials
All Generative AI training students receive comprehensive courseware.
Software Requirements
All attendees must have a modern web browser and an Internet connection.
