
Explore generative AI fundamentals with ChatGPT, highlighting its versatility, speed, and personalization. Learn prompt engineering principles to craft clear, context-rich prompts for generating text, code, and notes.
Discover six generative ai tools for text, image, and video creation, from chat-based text generation to Midjourney, DALL-E 2, be human ai, and deepfake-enabled videos for real-time use.
Explore prompt engineering with ChatGPT to write articles, outline technology topics, simulate algorithms, and generate web page code through hands-on prompts and access steps.
Explore a code demo of linked list operations, number insertion, forward and backward transfers, and removal in Python, alongside demonstrations of traveling salesman, nearest neighbor, and sorting algorithms.
Explore how Midjourney's prompts use parameters to shape results, including aspect ratio, chaos, quality, stop, style, stylize, version, no parameter, plus upscaling and variations.
Explore D-ID, a digital identity platform that uses deep learning to alter faces for privacy, enabling AI video production with avatars, text-to-voice, and video from text.
Explore Be Human, a generative AI tool that creates personalized, realistic videos at scale for enterprise use, including intro videos and meeting videos, with templates and CSV-driven personalization.
Discover Night Cafe AI as a bonus tool that generates images from text prompts in NightCafe Studio, with stable diffusion, styles, and credits.
Generative AI: Prompt Engineering with ChatGPT and MidJourney is a course designed to teach students the fundamentals of prompt engineering and how to use generative AI models like ChatGPT to generate text.
The course will cover topics such as the basics of generative AI, natural language processing, and prompt engineering. Students will learn how to use the MidJourney platform to build and train their own ChatGPT models.
Throughout the course, students will work on hands-on projects that will help them develop their skills in prompt engineering and generative AI. They will also learn about the ethical considerations of using AI models for text generation and how to mitigate potential risks.
By the end of the course, students will have a solid understanding of how to use generative AI models to generate text and will be equipped with the skills needed to create their own AI-powered language models.
The course will be taught by experts in the field of AI and natural language processing. They will provide lectures and live demonstrations to guide students through the process of building and training their own generative AI models.
Students will also have the opportunity to work on group projects and receive feedback from their peers and instructors. This collaborative learning environment will allow students to learn from each other and share their experiences.
One of the key aspects of the course will be the focus on prompt engineering. Students will learn how to construct effective prompts that will guide their AI models to generate coherent and relevant text. They will also learn about different types of prompts and how to customize them for specific tasks.
Throughout the course, students will use the MidJourney platform to build and train their own ChatGPT models. MidJourney is a user-friendly platform that provides all the tools necessary for building and deploying AI models. Students will have access to a pre-built dataset and will be able to experiment with different training methods and hyperparameters.
The course will also cover the ethical considerations of using AI models for text generation. Students will learn about the potential risks of AI-generated text, such as misinformation and bias, and how to mitigate these risks through responsible AI design and deployment.
In summary, the Generative AI: Prompt Engineering with ChatGPT and MidJourney course will provide students with the knowledge and skills needed to build and train their own AI-powered language models. They will learn about prompt engineering, natural language processing, and ethical considerations in AI design. Through hands-on projects and collaborative learning, students will gain practical experience in the field of generative AI.