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In this course, you will learn:
- To develop various AI-generated content, master essential generative AI models such as ChatGPT, Stable Diffusion, DALL-E 2, Midjourney, GPT-4, and AutoGPT.
- Create advanced quick engineering techniques and tactics for optimizing results in coding, education, law, sports, and media.
- Recognize and resolve ethical concerns and biases in generative AI to ensure responsible AI development and deployment.
- Using AI-powered tutoring and content development, apply AI-driven solutions to real-world difficulties, increasing productivity and creativity across many industries.
Syllabus:
1. Introduction to Generative AI
- Understanding Generative AI: Concepts and Evolution
- Key Models: GPT-3, GPT-3.5, GPT-4, DALL-E, and Midjourney
2. Mastering Prompt Engineering
- The Art of Prompt Engineering: Techniques and Strategies
- Optimizing Prompts for Better Results
- Handling Biases and Ethics in Prompt Engineering
- Real-world Examples of Effective Prompts
- Troubleshooting Common Prompt Engineering Challenges
3. Generative AI in Coding
- Code Generation with ChatGPT
- Debugging and Code Optimization with AI
- AI-driven Code Reviews and Collaboration
4. Generative AI in Law
- Legal Document Drafting and Review
- AI-powered Legal Research and Analysis
- Compliance and Risk Management with AI
5. Generative AI in Sports
- AI-generated Sports Analytics and Insights
- Training and Performance Optimization with AI
- Fan Engagement and Content Creation
