This course is  geared towards anyone who is interested in acquiring high level understanding of the fundamental concepts and principles that underlie Artificial Intelligence and Prompt Engineering including an exploration of the underlying language models and the ability to apply this knowledge to design, develop, and implement cutting-edge solutions for natural language understanding, generation, and communication in a wide range of industry and or  academic settings. This includes a strong emphasis  the practical application of this knowledge through , real-world case studies and research-based lectures. The course is designed to empower the learner to be able to efficiently , develop prompt engineering and NLP based solutions to real-world problems. The topics covered will serve as a fundamental pillar for fine-tuning language models for years to come. This is course by Udemy Instructor Matthew Bloss discusses Prompt Engineering and provides insight on how AI can be used by anyone.

Here is a list of topics:

1. What is AI?

2. What is NLP?

3. Natural Language Processing basics

4. Text Pre-processing techniques

5. Named Entity Recognition

6. Sentiment Analysis

7. Text summarization

8. Introduction to Prompt Engineering

9. Types of prompts

10. Best practices for creating prompts

11. Evaluating prompt quality

12. The impact of prompts on conversational AI

13. Contextualization

14. Personalization

15. Relevance

16. Clarity

17. Consistency

18. Fine Tuning

19. Industry examples of successful prompts