WA3407
Introduction to Generative AI Training
Web Age's Generative AI course teaches the core concepts and components that power Generative AI. Students explore real-world applications and understand the challenges and ethical considerations this technology may present. This course also covers machine learning and effective prompting techniques.
This Generative AI (GenAI) course gives students a thorough understanding of this powerful technology through hands-on practice.
Course Details
Duration
1 day
Skills Gained
- 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
Course Outline
- 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
- Hands-on Activity: 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
- The Big Picture
- Real-world Uses of Generative AI
- Hands-on Activity: Data Analytics using Generative AI
- Hands-on Activity: Sentiment Analysis using Generative AI
- Music, Movies, and Art
- Hands-on Activity: 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
- Hands-on Activity: 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
- Ethical Considerations
Upcoming Course Dates
